Abstract

Clonal haematopoiesis (CH) is a phenomenon whereby somatic mutations confer a fitness advantage to haematopoietic stem and progenitor cells (HSPCs) and thus facilitate their aberrant clonal expansion. These mutations are carried into progeny leucocytes leading to a situation whereby a substantial fraction of an individual’s blood cells originate from the HSPC mutant clone. Although this condition rarely progresses to a haematological malignancy, circulating blood cells bearing the mutation have the potential to affect other organ systems as they infiltrate into tissues under both homeostatic and disease conditions. Epidemiological and clinical studies have revealed that CH is highly prevalent in the elderly and is associated with an increased risk of cardiovascular disease and mortality. Recent experimental studies in murine models have assessed the most commonly mutated ‘driver’ genes associated with CH, and have provided evidence for mechanistic connections between CH and cardiovascular disease. A deeper understanding of the mechanisms by which specific CH mutations promote disease pathogenesis is of importance, as it could pave the way for individualized therapeutic strategies targeting the pathogenic CH gene mutations in the future. Here, we review the epidemiology of CH and the mechanistic work from studies using murine disease models, with a particular focus on the strengths and limitations of these experimental systems. We intend for this review to help investigators select the most appropriate models to study CH in the setting of cardiovascular disease.

1. Epidemiology of CH

With technological advances in genomic analyses, it is becoming apparent that somatic mutations can be acquired in every cell throughout the body as part of the normal ageing process. As a result of this process, individuals increasingly become a mosaic of cells with distinct genotypes; a phenomenon known as somatic mosaicism.1–3 While somatic mosaicism can occur in any tissue, it is particularly common in highly proliferative cell types, such as in the haematopoietic stem and progenitor cells (HSPCs), where the high cell production rate increases the chance occurrence of a random mutation.4 The majority of acquired somatic mutations in HSPCs have little or no impact on the cell’s phenotype. However, when a mutation occurs in a ‘driver’ gene, the mutant HSPC gains a fitness advantage, resulting in increased self-renewal, proliferation, and/or survival relative to neighbouring HSPC. This condition can lead to the clonal expansion of the mutant HSPC at the expense of HSPCs that lack a mutated driver gene. In turn, the mutation is carried through to the leucocyte progeny that are derived from this clone. Consequently, a fraction of the individual’s blood cells will carry the mutation, and this fraction can increase over time as the mutant HSPC pool expands. Notably, this process occurs in the absence of a detectable increase in blood cell counts and thus cannot simply be determined by routine blood work. The condition is generally referred to as clonal haematopoiesis (CH), and it represents an early pre-cancerous step in the progression to the pathological CH that is observed in blood cancers.5,6

CH was initially identified in studies that examined patterns of X-chromosome inactivation (XCI) in the blood cells of healthy females.7–9 In these studies, it was noted that females older than 60 years of age were more likely to exhibit skewing of their inactive X-chromosome, deviating from the 50:50 allelic ratio. Subsequently, it was found that females with skewed XCI were more likely to harbour a mutation in the blood cancer driver gene, ten-eleven translocation 2 (TET2), suggesting that this pre-leukaemic mutation was responsible for promoting the XCI skewing observed in these individuals.9 More recent epidemiological studies have expanded on these initial findings, providing consistent evidence of clonal populations of cells with pre-leukaemic driver mutations in the blood of otherwise healthy individuals.5,6 Of these known driver gene mutations, >70% of the known mutations occur in just two genes encoding epigenetic regulators, specifically DNA methyltransferase 3a (DNMT3A) and TET2. Other common driver gene mutations that have been identified include additional sex combs like 1 (ASXL1), Janus kinase 2 (JAK2), tumour protein p53 (TP53), protein phosphatase, Mg2+/Mn2+ dependent 1D (PPM1D) as well as others that are recurrently mutated in haematologic malignancies. Furthermore, these studies showed that the frequency of driver gene mutations increased sharply with age, and as such this, condition is sometimes referred to as age-related CH. The presence of a somatic mutation is associated with ∼11–13-fold increased risk of haematological malignancy, although this generally requires the acquisition of multiple oncogenic mutations. As a result, most individuals who harbour these mutations never go on to develop a haematological malignancy. Thus, this condition has also been termed CH of indeterminate potential (CHIP), which is defined by the presence of an expanded blood cell clone carrying a driver gene mutation of haematopoietic malignancies at a variant allele fraction (VAF) of at least 2%, without meeting the criteria of malignancy.

Current estimates of the prevalence of CH are largely based on the specific definition of CH and the detection limit of the DNA sequencing method utilized to assess this condition. Therefore, studies have reported different estimates on the prevalence of CH in the population. One widely cited study examined the prevalence of CH across the lifespan by sequencing the exomes of DNA from blood cells and analysing a select group of driver genes that are recurrently mutated in haematological malignancies.5 Using this approach, the VAF limit of detection was 3.5% for single nucleotide variants within exomes. It was found that driver gene mutations could be detected in ∼10% of people older than 70 years, but were rare in individuals that were <40 years of age. In contrast, a study by Zink et al.10 used whole-genome sequence analysis that allowed for the detection of aberrant clonal expansions in blood cells independent of the identification of a presumptive candidate driver gene. While this approach was relatively insensitive and could only detect clones with relatively large VAF values, the estimated prevalence of CH was substantially higher, being detected in ∼0.5% of individuals younger than 35 years old and ∼50% in those over 85 years old. Of these, only ∼20% of the observed clonal expansions in blood could be associated with a haematologic malignancy driver gene. Similarly, Genovese et al.6 found that approximately half of the clonal events could be attributed to driver genes that are recurrently mutated in haematologic malignancy. In light of these considerations, a number of studies have associated CH with mosaic chromosomal alterations, yet only a portion of these alterations coincide with loci of known haematological malignancy driver genes.11–15 Regardless of these distinctions in how CH is assessed or defined, multiple studies have shown that the prevalence of CH increases with age and is particularly common in elderly individuals.

Recent advances in sequencing technology and bioinformatic analyses have allowed investigators to assess CH at very low VAF values. For instance, studies using error-corrected sequencing, which allows the detection of mutations at a VAF as low as 0.03%, have suggested that CH is almost ubiquitous by middle age, even when the analysis is restricted to a small group of driver gene mutations. In one study, it was found that driver gene mutations, frequently found in DNMT3A and TET2, occur in 95% of individuals aged 50–70 years.16 Notably, this age group was estimated to exhibit only a ∼5% incidence of CH based upon less sensitive methods of detection.5,6,17 Collectively, these data suggest that small clones (i.e. very low VAF) may be ubiquitous in middle-aged individuals and that clone expansion occurs in a subset of individuals during the ageing process. However, the factors that control the expansion of mutant clones in some individuals and not others are generally unknown and represent an area for potential future investigation.

1.1 CH and cardiovascular disease

CH became of particular interest to investigators in the cardiovascular research field when an association was detected between this condition and increased risk of cardiovascular disease (CVD).5 In this study, The exome sequences of 160 candidate pre-leukaemic genes were analysed in the blood cells of 17 182 individuals that were unselected for haematological malignancies. They detected a strong positive association between somatic mutations in a subset of these driver genes and all-cause mortality. A similar study by Genovese et al.6 examined whole-exome sequences also found an association between CH and all-cause mortality. Interestingly, in this study, only half of the clonal events could be attributed to driver genes that are recurrently mutated in haematologic malignancies. While carriers of driver gene mutations had a markedly increased risk of haematological cancer, this risk could not account for the substantial increase in all-cause mortality.5 Unexpectedly, in a secondary analysis of the available longitudinal cohorts, it was discovered that cardiovascular causes were likely to be the main contributor to the increase of all-cause mortality observed in this study. CH carriers had a significantly increased risk of coronary-artery disease [hazard ratio (HR) =2.0, P = 0.02) and ischaemic stroke (HR = 2.6, P = 0.003) compared to non-carriers after adjusting for potential confounding factors. Since the primary aim of this study was to assess the prevalence of CH in the general population, a follow-up investigation was conducted to directly test whether CH was associated with an increase in CVD incidence.18 In this study, it was observed that individuals with CH had a 1.9 times increased risk for CVD and 4 times the risk for early-onset myocardial infarction. Notably, there was a 12-fold increased risk of an elevated coronary-artery calcification score in individuals with large mutant clones (VAF > 10%), but no statistically significant association in individuals with smaller clones, suggesting a dose–dependent relationship. More recently, Bick et al.19 analysed the exomes of 35 416 individuals from the UK Biobank for CH, resulting from mutations in DNMT3A or TET2, and incidence of CVD events including myocardial infarction, coronary revascularization, stroke, and death. In this cohort, 1079 (3%) individuals were identified with DMNT3A or TET2 mutant clones, including 432 (1.2%) individuals with a large clone size (VAF > 10%). Although an association with increased CVD event risk was observed regardless of clone size (HR = 1.27, P = 0.019), a greater CVD event risk was found in individuals with larger DNMT3A and TET2 mutant clones (with VAF >10%, HR = 1.59, P < 0.001) that was significantly different from the risk association found with smaller clones. Intriguingly, the risk escalation observed in individuals with large clones was not observed in individuals harbouring a frequent genetic polymorphism, which attenuates the interleukin-6 (IL-6) signalling pathway, suggesting that some forms of CH can promote CVD via overactivation of cytokine signalling. These findings of IL-6 activation in CH are consistent with the findings in a sub-analysis of Canakinumab Anti-Inflammatory Thrombosis Outcome Study trial, which showed that carriers of TET2-mediated CH displayed greater reductions in major adverse cardiovascular events than the unselected cohort when treated with an interleukin-1 beta (IL-1β) neutralizing antibody.20 Finally, CH was independently associated with CVD risk among post-menopausal middle-aged women (HR 1.36 with all CH, P = 0.012; HR 1.48 in CH with VAF > 10%, P = 0.005).21

While these initial clinical studies examining the relationship between CH and CVD mainly focused on the disease risk, more recent studies have examined the association between CH and prognosis in patients with chronic ischaemic heart failure (HF). In the initial report, Dorsheimer et al.22 performed deep, error-corrected targeted DNA sequencing on a cohort of 200 ischaemic HF patients that had participated in bone marrow cell therapy trials. In this study, mutations in 56 haematological cancer driver genes were analysed to determine whether they were associated with disease prognosis. They found that 18.5% of patients harboured CH mutations, with the majority of mutations occurring in either DNMT3A or TET2. Mutations in these two genes were associated with a greater risk (HR 2.1, P = 0.02) of adverse outcomes including death and HF rehospitalization. Importantly, a dose–response effect was indicated, as chronic HF patients with higher VAF (VAF > 1%) were more likely to develop worse outcomes compared to carriers with smaller clones. These findings were corroborated and extended by more recent studies. Assmus et al.23 addressed the prognostic role of clone size for DNMT3A- and TET2-driver gene mutations in a group of 419 patients with ischaemic HF. It was found that the cut-off VAF to predict 5-year survival was 1.15% and 0.73% for mutations in DNMT3A and TET2, respectively, which is substantially lower than previous estimates of pathological clone size. A recent study by Pascual-Figal et al.24 examined CH in 62 HF patients with reduced ejection fraction. They reported the adverse outcomes in HF patients carrying DNMT3A and TET2 mutations regardless of the ischaemic or non-ischaemic origin of HF. A dose–response association was also observed between clone size and HF progression in this cohort, and a 2% VAF cut-off for DNMT3A and TET2 mutations was suggested to be predictive for CVD risk. Notably, the association between DNMT3A and TET2 CH mutations and outcome became stronger when analysing for HF-related death and hospitalization, indicating that the connection between CH and adverse HF outcomes is not necessarily driven by coronary-artery disease.

To address associations between rarer driver gene mutations that are present at low VAF values and outcome, Kiefer et al.25 excluded individuals if they exhibited mutations TET2 or DNMT3A, or other CH mutations with a VAF > 2% in a cohort of ischaemic HF patients. This analysis found that somatic mutations with low VAF in a set of genes including CBL, CEBPA, EZH2, GNB1, PHF6, SMC1A, and SRSF2 are associated with mortality independently of large VAF mutations and the prevalent mutations in DNMT3A and TET2. Along these lines, Cremer et al.26 showed that ischaemic HF patients with multiple CH mutations in driver genes with relatively low VAFs also had a significantly higher risk of mortality compared to patients harbouring a single CH-mutation or non-carriers, providing evidence for a correlation between cumulative clone size and increased mortality within patient.

Beyond chronic HF and atherosclerotic CVD, the prognostic impact of CH on outcome in patients with valvular heart disease has also been investigated. Mas-Peiro et al.27 conducted targeted DNA sequencing on a cohort of 279 patients undergoing transcatheter aortic valve implantation (TAVI) for severe calcified aortic valve stenosis. This study also focused on mutations in DNMT3A and TET2. As with chronic HF, the prevalence of CH in this cohort was considerably higher than that reported in other studies for healthy individuals, suggesting that this condition is enriched in the patient population. Although cause-specific death was not provided, CH carriers were found to have a profoundly increased risk of all-cause mortality during medium-term follow-up after the TAVI procedure (HR 4.81, P = 0.009). This study excluded patients that died during the first 30 days post-TAVI to avoid potential confounding effects by the procedure itself.

The relationship between CH and thrombosis has also been examined. In a study by Wolach et al.,28 11 527 individuals (healthy control and patients with schizophrenia) were analysed, and it was found that JAK2V617F-mediated CH is strongly associated with major thrombotic events such as deep venous thrombosis or pulmonary thrombosis. Strikingly, this study reported 25% of JAK2V617F carriers experienced a thrombotic event, which was considerably higher than individuals with other CH-driver mutations (5%). Further, it was reported that JAK2V617F clones as small as 2% of VAF are associated with an increased incidence of venous thrombosis.

In addition to CH that is frequently associated with age, there is a less-studied entity of CH, referred to as therapy-associated CH (t-CH), that is prevalent in cancer survivors.29,30 t-CH is typically associated with mutations in genes that encode for DNA damage-response (DDR) proteins, such as tumour-suppressor protein 53 (TP53) and PPM1D. This form of CH occurs due to the selective pressure that the stress of radiation and/or chemotherapy exert on the HSPC, as mutations in DDR genes allow cells to survive the genotoxic stress. Although an association between PPM1D-mediated CH and ischaemic chronic HF has been reported,26 the contribution of t-CH to the long-term adverse effects of various cancer therapies on the cardiovascular system has yet to be examined in clinical studies. However, a recent study in mice suggests that t-CH could causally contribute to anthracycline-induced cardiomyopathy (AIC).31

It is worth noting that clinical studies have also found associations between CH and non-CVD conditions. Associations have been observed between CH and chronic obstructive pulmonary disease;10,32 however, this association could be the consequence of smoking on CH in this population. Natural premature menopause is also associated with CH,21 and associations have also been found between CH and ulcerative colitis and Down syndrome.33,34 Finally, Potus et al.35 reported that individuals with germ-line TET2 mutations have a 6.15-fold increased risk of pulmonary artery hypertension (PAH) compared to control subjects. Although experimental studies demonstrated a relationship between haematopoietic Tet2 depletion and a PAH phenotype, validation of this relationship in a CH cohort with TET2 somatic mutations may be warranted.

Collectively, these clinical studies reveal possible connections between somatic mutations in haematopoietic cells and the incidence and prognosis of various chronic disease processes (Table 1). However, the descriptive nature of these epidemiological studies makes it difficult to determine causality and directionality. Thus, experimental studies employing mouse models are of importance in determining causal relationships and uncovering potential mechanisms of disease progression. Here, we focus on experimental studies of CVD, with a specific focus on the practical approaches to establish murine models of CH. We also discuss the strengths and weaknesses of various models with the goal of guiding researchers to the best approaches for the experimental study of CH.

Table 1

Summary of clinical studies reporting an association between CH and CVD

Study‘Driver’ genesPopulation cohortSamplesSequence methodAssociation with CVDAdjusted variables
Jaiswal et al. (2014)5DNMT3A, TET2, ASXL1 etc.3353 healthy individuals without prior CVD eventsWhole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • Increased risk for CHD (HR 2.0)

  • and ischaemic stroke (HR 2.6)

Age, sex, type 2 diabetes status, systolic blood pressure, BMI
Jaiswal et al. (2017)18DNMT3A, TET2, ASXL1, JAK2 etc.4726 CHD patients
  • 3529 controls

    • aBioImage/MDC (prospective): CHD

    • bATVB/PROMIS (retrospective): MI

Whole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • a1.9 times of risk for CHD

  • b4.0 times of risk for MI

  • aAge, sex, type 2 diabetes status, TC, HDL-c, smoking status, hypertension

  • bAge, sex, type 2 diabetes status, smoking status

Wolach et al. (2019)28JAK2

4946 schizophrenia

 

5947 controls

Whole bloodWhole-exome sequencingJAK2-positive CH increased incidence to venous thrombosisN.A.
Dorsheimer et al. (2019)22DNMT3A, TET2200 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are independently associated with the adverse outcome of chronic HFBaseline serum NT-proBNP levels, SHFM score tertiles
Mas-Peiro et al. (2020)27DNMT3A, TET2279 severe AV stenosis patients undergoing TAVIBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A increase the mortality after successful TAVIAge, sex, baseline serum NT-proBNP levels
Cremer et al. (2020)26DNMT3A, TET2 +7 new mutations419 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingCHIP is an independent predictor of mortality in CHF patientsN.A.
Bick et al. (2020)19DNMT3A, TET21079 CHIP carriersWhole bloodWhole-exome sequencingCHIP is associated with increased incident CVD event riskAge, genetic ancestry, sex, HDL-c, LDL-c, smoking, BMI, type 2 diabetes status, hypertension
Pascual-Figal et al. (2021)24DNMT3A, TET262 HF patients (52% non-ischaemic)Buffy coat of bloodError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are associated with accelerated HF progression regardless of aetiologyAge, sex, ischaemic aetiology, LVEF, serum NT-proBNP levels
Kiefer et al. (2021)25CBL, CEBPA, EZH2, GNB1, PHF6, SMC1A, SRSF2399 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations with low VAF in these seven genes are associated with mortality in chronic HFN.A.
Study‘Driver’ genesPopulation cohortSamplesSequence methodAssociation with CVDAdjusted variables
Jaiswal et al. (2014)5DNMT3A, TET2, ASXL1 etc.3353 healthy individuals without prior CVD eventsWhole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • Increased risk for CHD (HR 2.0)

  • and ischaemic stroke (HR 2.6)

Age, sex, type 2 diabetes status, systolic blood pressure, BMI
Jaiswal et al. (2017)18DNMT3A, TET2, ASXL1, JAK2 etc.4726 CHD patients
  • 3529 controls

    • aBioImage/MDC (prospective): CHD

    • bATVB/PROMIS (retrospective): MI

Whole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • a1.9 times of risk for CHD

  • b4.0 times of risk for MI

  • aAge, sex, type 2 diabetes status, TC, HDL-c, smoking status, hypertension

  • bAge, sex, type 2 diabetes status, smoking status

Wolach et al. (2019)28JAK2

4946 schizophrenia

 

5947 controls

Whole bloodWhole-exome sequencingJAK2-positive CH increased incidence to venous thrombosisN.A.
Dorsheimer et al. (2019)22DNMT3A, TET2200 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are independently associated with the adverse outcome of chronic HFBaseline serum NT-proBNP levels, SHFM score tertiles
Mas-Peiro et al. (2020)27DNMT3A, TET2279 severe AV stenosis patients undergoing TAVIBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A increase the mortality after successful TAVIAge, sex, baseline serum NT-proBNP levels
Cremer et al. (2020)26DNMT3A, TET2 +7 new mutations419 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingCHIP is an independent predictor of mortality in CHF patientsN.A.
Bick et al. (2020)19DNMT3A, TET21079 CHIP carriersWhole bloodWhole-exome sequencingCHIP is associated with increased incident CVD event riskAge, genetic ancestry, sex, HDL-c, LDL-c, smoking, BMI, type 2 diabetes status, hypertension
Pascual-Figal et al. (2021)24DNMT3A, TET262 HF patients (52% non-ischaemic)Buffy coat of bloodError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are associated with accelerated HF progression regardless of aetiologyAge, sex, ischaemic aetiology, LVEF, serum NT-proBNP levels
Kiefer et al. (2021)25CBL, CEBPA, EZH2, GNB1, PHF6, SMC1A, SRSF2399 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations with low VAF in these seven genes are associated with mortality in chronic HFN.A.

MI, myocardial infarction; CHD, coronary heart disease; CHF, chronic heart failure; PB, peripheral blood; BM, bone marrow; TAVI, transcatheter aortic valve implantation; CVD, cardiovascular disease; CHD, coronary heart disease; MDC, Malmo Diet and Cancer cohort; ATVB/PROMIS, Atherosclerosis, Thrombosis, and Vascular Biology/the Pakistan Risk of Myocardial Infarction Study, MI, myocardial infarction; HF, heart failure; AV, aortic valve; CHIP, clonal haematopoiesis with indeterminate potential; HR, hazard ratio; CH, clonal haematopoiesis; BMI, body mass index; TC, total cholesterol; HDL-c, high-density lipoprotein cholesterol; N.A., not applied; NT-proBNP, N-terminal pro-B-type natriuretic peptide; LDL-c, low-density lipoprotein cholesterol.

a and b designate two different study types within Jaiswal et al. 2017.

Table 1

Summary of clinical studies reporting an association between CH and CVD

Study‘Driver’ genesPopulation cohortSamplesSequence methodAssociation with CVDAdjusted variables
Jaiswal et al. (2014)5DNMT3A, TET2, ASXL1 etc.3353 healthy individuals without prior CVD eventsWhole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • Increased risk for CHD (HR 2.0)

  • and ischaemic stroke (HR 2.6)

Age, sex, type 2 diabetes status, systolic blood pressure, BMI
Jaiswal et al. (2017)18DNMT3A, TET2, ASXL1, JAK2 etc.4726 CHD patients
  • 3529 controls

    • aBioImage/MDC (prospective): CHD

    • bATVB/PROMIS (retrospective): MI

Whole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • a1.9 times of risk for CHD

  • b4.0 times of risk for MI

  • aAge, sex, type 2 diabetes status, TC, HDL-c, smoking status, hypertension

  • bAge, sex, type 2 diabetes status, smoking status

Wolach et al. (2019)28JAK2

4946 schizophrenia

 

5947 controls

Whole bloodWhole-exome sequencingJAK2-positive CH increased incidence to venous thrombosisN.A.
Dorsheimer et al. (2019)22DNMT3A, TET2200 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are independently associated with the adverse outcome of chronic HFBaseline serum NT-proBNP levels, SHFM score tertiles
Mas-Peiro et al. (2020)27DNMT3A, TET2279 severe AV stenosis patients undergoing TAVIBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A increase the mortality after successful TAVIAge, sex, baseline serum NT-proBNP levels
Cremer et al. (2020)26DNMT3A, TET2 +7 new mutations419 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingCHIP is an independent predictor of mortality in CHF patientsN.A.
Bick et al. (2020)19DNMT3A, TET21079 CHIP carriersWhole bloodWhole-exome sequencingCHIP is associated with increased incident CVD event riskAge, genetic ancestry, sex, HDL-c, LDL-c, smoking, BMI, type 2 diabetes status, hypertension
Pascual-Figal et al. (2021)24DNMT3A, TET262 HF patients (52% non-ischaemic)Buffy coat of bloodError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are associated with accelerated HF progression regardless of aetiologyAge, sex, ischaemic aetiology, LVEF, serum NT-proBNP levels
Kiefer et al. (2021)25CBL, CEBPA, EZH2, GNB1, PHF6, SMC1A, SRSF2399 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations with low VAF in these seven genes are associated with mortality in chronic HFN.A.
Study‘Driver’ genesPopulation cohortSamplesSequence methodAssociation with CVDAdjusted variables
Jaiswal et al. (2014)5DNMT3A, TET2, ASXL1 etc.3353 healthy individuals without prior CVD eventsWhole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • Increased risk for CHD (HR 2.0)

  • and ischaemic stroke (HR 2.6)

Age, sex, type 2 diabetes status, systolic blood pressure, BMI
Jaiswal et al. (2017)18DNMT3A, TET2, ASXL1, JAK2 etc.4726 CHD patients
  • 3529 controls

    • aBioImage/MDC (prospective): CHD

    • bATVB/PROMIS (retrospective): MI

Whole bloodWhole-exome sequencingCHIP carriers vs. non-carriers:
  • a1.9 times of risk for CHD

  • b4.0 times of risk for MI

  • aAge, sex, type 2 diabetes status, TC, HDL-c, smoking status, hypertension

  • bAge, sex, type 2 diabetes status, smoking status

Wolach et al. (2019)28JAK2

4946 schizophrenia

 

5947 controls

Whole bloodWhole-exome sequencingJAK2-positive CH increased incidence to venous thrombosisN.A.
Dorsheimer et al. (2019)22DNMT3A, TET2200 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are independently associated with the adverse outcome of chronic HFBaseline serum NT-proBNP levels, SHFM score tertiles
Mas-Peiro et al. (2020)27DNMT3A, TET2279 severe AV stenosis patients undergoing TAVIBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A increase the mortality after successful TAVIAge, sex, baseline serum NT-proBNP levels
Cremer et al. (2020)26DNMT3A, TET2 +7 new mutations419 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingCHIP is an independent predictor of mortality in CHF patientsN.A.
Bick et al. (2020)19DNMT3A, TET21079 CHIP carriersWhole bloodWhole-exome sequencingCHIP is associated with increased incident CVD event riskAge, genetic ancestry, sex, HDL-c, LDL-c, smoking, BMI, type 2 diabetes status, hypertension
Pascual-Figal et al. (2021)24DNMT3A, TET262 HF patients (52% non-ischaemic)Buffy coat of bloodError-corrected, targeted-exome sequencingSomatic mutations in TET2/DNMT3A are associated with accelerated HF progression regardless of aetiologyAge, sex, ischaemic aetiology, LVEF, serum NT-proBNP levels
Kiefer et al. (2021)25CBL, CEBPA, EZH2, GNB1, PHF6, SMC1A, SRSF2399 ischaemic HF patientsBM & PB mononuclear cellsError-corrected, targeted-exome sequencingSomatic mutations with low VAF in these seven genes are associated with mortality in chronic HFN.A.

MI, myocardial infarction; CHD, coronary heart disease; CHF, chronic heart failure; PB, peripheral blood; BM, bone marrow; TAVI, transcatheter aortic valve implantation; CVD, cardiovascular disease; CHD, coronary heart disease; MDC, Malmo Diet and Cancer cohort; ATVB/PROMIS, Atherosclerosis, Thrombosis, and Vascular Biology/the Pakistan Risk of Myocardial Infarction Study, MI, myocardial infarction; HF, heart failure; AV, aortic valve; CHIP, clonal haematopoiesis with indeterminate potential; HR, hazard ratio; CH, clonal haematopoiesis; BMI, body mass index; TC, total cholesterol; HDL-c, high-density lipoprotein cholesterol; N.A., not applied; NT-proBNP, N-terminal pro-B-type natriuretic peptide; LDL-c, low-density lipoprotein cholesterol.

a and b designate two different study types within Jaiswal et al. 2017.

2. Animal models of CH

In the currently established murine models of CH, investigators have employed several methods to establish haematopoietic cell mutations in HSPC depending on the focus of their study (Figure 1).

Mouse models of CH. (A) A representation of human CH. Clonal expansions of haematopoietic stem cells arise when spontaneous somatic mutations within these cells provide a selective growth, survival or self-renewal advantage. (B–E) Commonly used methods to recapitulate CH in mice include BMT with or without pre-conditioning (irradiation). (B) The experimental condition of non-competitive BMT following myeloablation. Recipient mice typically undergo lethal irradiation to remove host haematopoietic stem cells. This is followed by bone marrow reconstitution with 100% mutant cells or wild-type cells, and the recipient haematopoietic stem cells are completely replaced by donor cells. (C) The experimental condition of competitive BMT following myeloablation. Recipient mice typically undergo lethal irradiation, and haematopoietic stem cells are reconstituted with a mixture of mutant and wild-type cells. The proportion of mutant haematopoietic stem cells will increase over time if the mutation provides a selection advantage. (D) The experimental condition of driver gene editing by CRISPR/Cas9. Recipient mice typically undergo lethal irradiation, following transplantation with lineage-negative cells that have been transduced with a lentivirus expressing GFP/RFP with targeting guide RNA or non-targeting guide RNA. The targeting efficiency of candidate driver genes in haematopoietic stem cells can approach 90% in this system. (E) The experimental condition of non-myeloablative BMT. Non-conditioned recipient mice are typically transplanted with non-fractionated donor bone marrow cells on three consecutive days. If the mutated haematopoietic stem cells confer selective advantage over wild-type recipient cells, they will slowly expand over time. In panel (A–E), bone with yellow colour = non-irradiated, bone with grey colour = lethally irradiated; cells with dark blue colour = wild-type cells and cells with red colour = mutated cells. In panel (D), green colour = cells that have been transduced with genome edited cells, cells with light blue colour = cells that have not been transduced with genome edited cells.
Figure 1

Mouse models of CH. (A) A representation of human CH. Clonal expansions of haematopoietic stem cells arise when spontaneous somatic mutations within these cells provide a selective growth, survival or self-renewal advantage. (BE) Commonly used methods to recapitulate CH in mice include BMT with or without pre-conditioning (irradiation). (B) The experimental condition of non-competitive BMT following myeloablation. Recipient mice typically undergo lethal irradiation to remove host haematopoietic stem cells. This is followed by bone marrow reconstitution with 100% mutant cells or wild-type cells, and the recipient haematopoietic stem cells are completely replaced by donor cells. (C) The experimental condition of competitive BMT following myeloablation. Recipient mice typically undergo lethal irradiation, and haematopoietic stem cells are reconstituted with a mixture of mutant and wild-type cells. The proportion of mutant haematopoietic stem cells will increase over time if the mutation provides a selection advantage. (D) The experimental condition of driver gene editing by CRISPR/Cas9. Recipient mice typically undergo lethal irradiation, following transplantation with lineage-negative cells that have been transduced with a lentivirus expressing GFP/RFP with targeting guide RNA or non-targeting guide RNA. The targeting efficiency of candidate driver genes in haematopoietic stem cells can approach 90% in this system. (E) The experimental condition of non-myeloablative BMT. Non-conditioned recipient mice are typically transplanted with non-fractionated donor bone marrow cells on three consecutive days. If the mutated haematopoietic stem cells confer selective advantage over wild-type recipient cells, they will slowly expand over time. In panel (AE), bone with yellow colour = non-irradiated, bone with grey colour = lethally irradiated; cells with dark blue colour = wild-type cells and cells with red colour = mutated cells. In panel (D), green colour = cells that have been transduced with genome edited cells, cells with light blue colour = cells that have not been transduced with genome edited cells.

2.1 Currently available mouse lines to study CH

Of the known CH-driver genes, DNMT3A and TET2 are most frequently mutated in elderly individuals. Multiple genetically engineered mouse lines are available to investigate these genes, and studies using these animals have offered important insights into the mechanisms by which CH impacts CVD. DNMT3A is a de novo methyltransferase that adds a methyl group to the 5′ cytosine residue at CpG dinucleotides. To date, two transgenic mouse strains have been developed to study the role of Dnmt3a. Specifically, Challen et al.36 established a mouse line whereby Dnmt3a is conditionally ablated in the haematopoietic system by crossing Mx1-Cre mice with Dnmt3afl/fl mice. To create the Dnmt3afl/fl animals, the region containing part of the catalytic domain was floxed, and deletion of this region renders the enzyme inactive. Using these mice, it was found that haematopoietic Dnmt3a deficiency results in augmented expansion of the long-term haematopoietic stem cell (HSC) (LT-HSC) pool while progressively impairing HSPC differentiation. Paradoxically, both hyper- and hypo-methylation were detected at different loci in Dnmt3a-deficient HPSC, including substantial increase in methylation at CpG islands, indicating that Dnmt3a plays a complex role in the DNA methylation process.36 Mice transplanted with Dnmt3a-deficient HSPC appeared to display a relatively benign phenotype. Another strain, namely Dnmt3afl-R878H+ mice (JAX #032289),37 was designed to express the R878H variant under the endogenous Dnmt3a promoter in Cre-dependent manner. This mouse simulates the DNMT3AR882H mutation, which is one of the most frequent somatic mutation variants observed in the human haematopoietic system.5 This variant has been shown to function in a dominant-negative manner in vitro in mouse and human cells.38,39 Further, it has been reported that the R882H mutation not only leads to CpG DNA hypo-methylation, but also impairs the CpG methylation efficiency, which differs from what is observed in the Dnmt3a-deficient mice described above.40,41 The discrepancies between the two strains may ultimately yield different phenotypes in the context of experimental CH particularly when studying its impact on CVD and other disease processes.

TET2 belongs to a family of proteins (TET1–3) that catalyse the conversion of 5-methylcytosine to 5-hydroxylcytosine, leading to DNA demethylation.42 Considering that the multitude of TET2 mutations that occur in human myeloid malignancies result in decreased enzyme catalytic activity,43 two mouse strains are available to study the impact of TET2 loss-of-function in haematopoietic cells. Ko et al.44 generated Tet2 knockout mice (JAX # 023359) that carry a mutant allele between exons 8 through 11, which leads to the deletion of the catalytic domain. Deletion of Tet2 in this manner causes a disruption to haematopoietic differentiation leading to expansion of lineage-negative Sca1+c-Kit+ (LSK) populations including HSC and multipotent progenitor cells. In addition to this strain, Moran-Crusio et al.45 created haematopoietic Tet2-deficient mice whereby Vav1-Cre mice were crossed with Tet2-floxed mice (JAX # 017573). In this mouse line, the Tet2 gene is floxed at exon 3, which is the first coding exon of Tet2, and mutations in this exon account for 41.5% of TET2 mutations observed in humans with myeloid malignancies.45 Using this particular strain of mouse, it was found that haematopoietic Tet2 deficiency results in increased HSPC self-renewal and a myeloid-skewed pattern of differentiation. Given that both Tet2-deficient strains of mice appear to recapitulate the phenotype of haematopoietic TET2 mutations in humans, studies have employed either of these strains to model CH.

In addition to DNMT3A and TET2, a mutation in JAK2 is frequently detected in individuals with CH. JAK2 is a non-receptor tyrosine kinase, which transmit signals from a variety of cytokine and growth factor receptors. JAK2V617F is the most common mutation in myeloproliferative neoplasms (MPN), which leads to constitutive activation of JAK2 signalling pathway.46 The JAK2V617F driver gene has been reported in patients with CH.5,6,18,28 To study the role of JAK2V617F in the haematopoietic system, Mullally et al.47 constructed transgenic mice that express Jak2V617F under the control of the endogenous Jak2 promoter, following Cre-mediated recombination (JAX #031658). Germ-line, heterozygous expression of Jak2V617F results in premature lethality due to MPN (median survival is 146 days). The bone marrow cells from these mice are transplantable and show similar MPN phenotypes (i.e. increased haematocrit, white blood cell, and platelet counts) in the recipient mice. This strain is advantageous for studies of MPN as it expresses a physiological level of Jak2V617F from the endogenous promoter. However, it should be noted that changes in blood cell count are generally not observed in individuals with CH, and thus this strain is generally not suitable for CH studies.

As noted previously, t-CH is associated with haematopoietic cell mutations in various genes that encode for DDR proteins including TP53 and PPM1D.29,30 Among different types of TP53 mutations, missense mutation accounts for >70% of all alterations, and >80% of these missense mutations appear to be clustered in the central DNA-binding domain of TP53.48,49 Thus, TP53 mutation variants have traditionally been considered to be loss-of-function. Considering this, two mice strains are available for studying the Trp53 loss-of-function in haematopoietic system. Jacks et al.50 generated Tp53 knockout mice (JAX # 002103) by inserting the neo locus into the murine Tp53 gene. More recently, it has been demonstrated that missense mutations in DNA-binding domain may confer the dominant-negative effect over the wild-type p53 protein in haematopoietic cells.51 Correspondingly, a Tp53 mutant strain with a R270H missense mutation is available (JAX # 008182).52

2.2 Cre-recombinase reagents used in CH research

To date, many ‘hematopoietic cell-specific’ Cre-driver strains have been developed in which the activity of Cre is either inducible or controlled by a haematopoietic cell-specific promoter. The text below describes the advantages and limitations of Cre-driver strains, and how they have been used to study CH.

2.2.1 Mx1-Cre

Mx1 is an interferon-regulated gene that is activated by type I or type III interferons. Kuhn et al.53 generated transgenic mice harbouring the Cre-recombinase transgene under the control of the Mx1-promoter as the first inducible transgenic mouse line. In these mice, Cre-expression is induced by intraperitoneal injection of polyinosinic-polycytidylic acid [poly(I: C)], a synthetic analogue of double-stranded RNA,53 which elicits a viral response and induces interferon expression. After multiple doses of poly(I: C), nearly complete recombination can be achieved in liver, spleen, and bone marrow cells.53,54  Mx1-Cre expressing mice have been commonly used in the field of haematology as a strategy to delete genes in haematopoietic cells and overcome embryonic lethality, a situation that is commonly observed in global knockout strains. However, several potential pitfalls have been identified during the use of Mx1-Cre expressing mice. First, the system is ‘leaky’, and background levels of Cre-expression can occur at levels of up to 5% the induced expression level, in almost every tissue.53,55 Furthermore, undesired recombination prior to the induction can occur in this strain, and this can cause technical issues, particularly when the recombined allele confers a growth or fitness advantage on the cell. A recent study reported that the frequency of spontaneous recombination reaches ∼20% in cultured bone marrow cells, and increases to ∼70% after bone marrow transplantation (BMT).56 The mechanism of spontaneous recombination is thought to be due to endogenous activation of the interferon signalling pathway. In addition, when performing BMT using the cells from mice, which express Mx1-Cre, careful consideration is required to select an approach to induce gene recombination. There are two commonly used approaches to induce recombination: (i) administration of the inducer [poly(I: C), etc.] to donor mice followed by BMT and (ii) administration of the inducer to recipient mice after BMT. It is generally believed that the latter approach is more preferable for studies of CH as it minimizes the effect of the gene mutation in non-haematopoietic cells and avoids accumulation of additional acquired mutations in haematopoietic cells, such as mutations in Tet2.56

2.2.2 Vav1-Cre

Vav1 is a gene that is primarily expressed in haematopoietic cells, and at least three transgenic mouse strains that express Cre-recombinase under the control of the Vav1 promoter have been generated.57–59 Of these transgenic strains, a strain carrying ‘codon-improved’ Cre (iCre) has also been developed whereby the Cre gene is modified to prevent epigenetic silencing.58 In Vav-iCre expressing mice, Cre-mediated recombination has been observed in all haematopoietic cells, which makes this strain particularly useful. However, off-target Cre-expression has also been documented in reproductive tissues and vascular endothelial cells.58,60 Due to the undesired Cre activity in endothelial cells, use of this strain could generate confounding effects, especially when studying the impact of CH on CVD. Moreover, in mice carrying both the Vav-iCre transgene and the floxed allele, the expression of Vav-iCre in reproductive tissues can possibly cause gene recombination in germ-line cells, thereby leading to systemic expression of the recombined allele in offspring mice. This situation can be particularly problematic when examining the consequences of hotspot mutations in driver genes, including DNMT3AR882C/H, SRSF2P95R/L/H, and JAK2V617F,17 as it will be technically difficult to distinguish recombined allele from WT allele in these mutant mice by standard genotyping methodology due to sequence similarities.

2.2.3 LysM-Cre

Lysozyme M (LysM) is encoded by the Lyz2 gene in mice and is widely expressed in myeloid cells, such as macrophages, monocytes, and neutrophils. Accordingly, the Lyz2Cre strain of mice has been generated for expressing Cre-recombinase in the myeloid lineage under the control of the endogenous Lyz2 promoter/enhancer element.61 Multiple groups have crossed Lyz2Cre mice to reporter mouse lines, such as TdTomato, EYFP, EGFP, etc., to verify the efficiency and specificity of this Lyz2Cre/loxP gene recombination system. While Lyz2Cre gene efficiently recombines in myeloid cells, there is also evidence to suggest that recombination occurs in a portion of non-myeloid cells. In fact, Lyz2-Cre-mediated recombination has been observed in 5–10% of HSPC populations as well as in smaller fractions of lymphoid and erythroid cells. These data suggest that the Lyz2-promoter is active in a small subset of HSPC, and that the recombined allele is transmitted to progeny cells.62–64 Undesired recombination has also been reported in some non-haematopoietic cells. In a study by Stadtfeld et al.,65 it was demonstrated that Lyz2-Cre-mediated recombination occurred in a portion of cardiomyocytes located within the intraventricular septum and the left ventricular free wall. These cells are unlikely to be of haematopoietic origin given the low prevalence of recombination-positive cardiomyocytes in Vav1-Cre mice. In addition, another study reported that almost 25% of the lung epithelial cells show some evidence of Lyz2-Cre-mediated recombination,66 and studies have documented that some types of neurons exhibit recombination by Lyz2-Cre.67,68 As a consequence, the non-specific activity of Lyz2 promoter can lead to the misinterpretation of phenotypes in animal models of CH.

2.3 BMT considerations

Mutations that result in CH occur in HSPC, and progeny leucocytes derived from the mutant clones will carry the mutation. While CH-driver gene mutations can be seen in a variety of blood cells, different driver mutations may lead to different proportions of leucocyte subsets that carry a particular mutation. For instance, some HSPC mutations confer a myeloid skewing advantage during differentiation, and the mutations will be primarily observed in progeny cells of myeloid origin in the periphery. Thus, to investigate the molecular links between CH and clinically relevant diseases, it is desirable to develop animal models that recapitulate various human scenarios. While researchers have developed Cre/loxP systems to achieve location- and time-specific gene manipulation, as indicated above, use of these animals alone may be insufficient or confounded by a lack of specificity. To overcome these caveats, BMT methods allow investigators to engraft HSPC into recipients to investigate the function of these donor cells in models of CH and CVD.

2.4 BMT with pre-conditioning

In mouse models of CH, donor cells are most commonly harvested from bone marrow of genetically manipulated mice or wild-type mice as controls. High-level engraftment can be achieved by eliminating host bone marrow cells either by cytotoxic reagents or irradiation, or a combination of both. In the absence of pre-conditioning, donor chimaerism is very low, as the bone marrow niche is limiting for donor cell engraftment. Whole-body irradiation is the most commonly used pre-conditioning method to ablate the host’s bone marrow cells (Figure 2A). The extent to which the recipient cells are destroyed will depend on the dose of the radiation. In our experience, successful reconstitution can be achieved when recipient mice are exposed to two doses of 5.5 Gy that are separated by 4 h.69 We find that a dose of 5 million bone marrow cells is the optimal number of cells to transplant during this procedure. Disease models are performed on recipient animals at ∼6–8 weeks following the BMT; a time point when haematological counts become similar to that of naive animals.70 In this procedure, the reconstituted animals carry the mutated gene only in haematopoietic cells, avoiding potential confounding factors that may occur when the mutation may be carried in cells of non-haematopoietic origin.

Whole-body irradiation and chest-shielded irradiation mediated BMT. (A) Recipient mice (CD45.1+) are typically subjected to bone marrow reconstitution with donor cells CD45.2+ cells after lethal, whole-body irradiation. (B) Flow cytometry analyses of the donor chimaerism of leucocyte subsets (CD45.2+; blue) in peripheral blood (PB) and heart 1 month after BMT as described in (A). Nearly all PB leucocyte subsets and large fraction of cardiac immune cells were replaced with donor BM-derived cells. (B) Recipient CD45.1+ are subjected to chest-shielded irradiation, followed by reconstitution with CD45.2+ bone marrow cells from donor mice. (D) Flow cytometry analyses of the donor chimaerism of leucocyte subsets (CD45.1+; orange) in PB and heart 1 month after BMT as described as (C). While a large fraction of PB leucocyte subsets are replaced with donor-derived cells, the replacement of cardiac-resident macrophage by donor-derived cells is considerably less (except for CCR2+ population, data not shown). PB, peripheral blood; WBC, white blood cell; Ly6Chi Mono, Ly6Chigh monocyte; Mac, macrophage; Neut, Neutrophil. Data in this figure are from Wang et al.,81 and it is republished with permission.
Figure 2

Whole-body irradiation and chest-shielded irradiation mediated BMT. (A) Recipient mice (CD45.1+) are typically subjected to bone marrow reconstitution with donor cells CD45.2+ cells after lethal, whole-body irradiation. (B) Flow cytometry analyses of the donor chimaerism of leucocyte subsets (CD45.2+; blue) in peripheral blood (PB) and heart 1 month after BMT as described in (A). Nearly all PB leucocyte subsets and large fraction of cardiac immune cells were replaced with donor BM-derived cells. (B) Recipient CD45.1+ are subjected to chest-shielded irradiation, followed by reconstitution with CD45.2+ bone marrow cells from donor mice. (D) Flow cytometry analyses of the donor chimaerism of leucocyte subsets (CD45.1+; orange) in PB and heart 1 month after BMT as described as (C). While a large fraction of PB leucocyte subsets are replaced with donor-derived cells, the replacement of cardiac-resident macrophage by donor-derived cells is considerably less (except for CCR2+ population, data not shown). PB, peripheral blood; WBC, white blood cell; Ly6Chi Mono, Ly6Chigh monocyte; Mac, macrophage; Neut, Neutrophil. Data in this figure are from Wang et al.,81 and it is republished with permission.

To model CH, it can be helpful to employ a competitive BMT approach whereby a small proportion of mutant cells are mixed with wild-type cells prior to transplantation into lethally irradiated mice. This experimental setting can mimic the human scenario of individuals carrying CH mutations, since the mutation is only carried in a proportion of blood cells that undergo expansion. For these experiments, the use of congenic mouse strains or fluorescent reporter mice can be helpful in distinguishing donor cells from competitor wild-type and/or recipient cells. This experimental technique can be particularly useful when studying mutationsthat confer a competitive advantage over wild-type cells under homeostatic conditions. For example, studies investigating the impact of Tet2-mediated CH on CVD, have demonstrated that Tet2-mutant cells have a competitive advantage over wild-type cells.71,72 In these studies, lethally irradiated recipient mice were transplanted with a mixture of cells containing 10% Tet2-deficient (Tet2/) or Tet2-sufficient (Tet2+/+) bone marrow cells and 90% competitor wild-type bone marrow cells. To distinguish Tet2-deficient/-sufficient cells from competitor cells, congenic strains were used whereby Tet2-deficient/-sufficient cells were from mice with a CD45.2 allele and the competitor cells were from mice with a CD45.1 allele. Over the experimental time course, Tet2-deficient cells expanded in bone marrow, spleen, and peripheral blood (PB), and exhibited a slight myeloid bias with preferential expansion into the Ly6Chi monocyte population, which is consistent to what is observed in humans with haematopoietic TET2 mutations.73 Further, to more closely model the human scenario whereby most individuals bear a mutation in only one allele, equivalent experiments were performed using cells that were heterozygous for the Tet2 mutation.72 In these experiments, the kinetics of clonal expansion were slower for heterozygous mutant cells, indicative of a gene dose–dependent effect. Finally, in some instances, the mutant HSPC may not show a competitive advantage over wild-type cells, perhaps due to the lack of external factors that are required to drive expansion of the mutant cells in individuals with CH. In these situations, mutant cells can be mixed with wild-type cells at higher proportions to produce a more evident phenotype.

2.5 Potential pitfalls of pre-conditioning BMT experiments

While BMT techniques are commonly employed as a research tool, it is important to realize that the pre-conditioning processes that typically accompany the BMT will elicit unwanted systemic effects to the host. Beyond its primary purpose to eliminate host bone marrow cells, conditioning regimes, such as total-body irradiation or myeloablative chemotherapy, can damage multiple organs and influence the outcome of the study. For example, irradiation has been shown to induce vascular endothelial cell damage, resulting in the up-regulation of adhesion molecules and monocyte recruitment and infiltration into the intima.74 In the setting of CVD, such changes could markedly influence the pathophysiology of the disease process. Indeed, it has been reported that irradiated atherosclerosis-prone Ldlr-deficient mice develop macrophage-richer plaques at the aortic root compared to non-irradiated mice.75 Similarly, irradiation has been documented to reduce the frequency of aortic aneurysm rupture after angiotensin II (AngII) infusion to Apoe-deficient mice.76 Overall, well-controlled experiments should be designed to limit these inadvertent systemic effects in studies of CH and its impact on CVD.

The systemic conditioning of mice prior to BMT will also lead to the profound changes in the immunological cell populations of tissues. The majority of immune cells in healthy organs are tissue-resident macrophages, and in many tissues, these cells are derived from embryonic precursors.77 It is thought that these macrophages colonize the tissue prior to birth and maintain themselves mainly by local proliferation. However, in some tissue-resident macrophage populations, there may be some degree of renewal by bone marrow-derived macrophages. For example, the main resident macrophages in brain, microglia, are maintained exclusively by self-renewal while only some non-microglia resident macrophages are slowly and partially replaced by circulating cells.78 Similarly, in the normal lung, there is negligible contribution of bone marrow-derived macrophages to the resident alveolar macrophage population during adult life.79 In the heart, the extent of replacement of macrophages differs depending on the subpopulation of macrophages. Specifically, chemokine C-C motif receptor 2 (CCR2) major histocompatibility class II (MHCII) and CCR2MHCII+ cardiac macrophages are maintained locally and exhibit a slow turnover by cells from the circulation.80 In contrast, the CCR2+MHCII+ population is readily replaced by blood-borne cells. Irradiation depletes native tissue-resident macrophages and allows circulating monocyte-derived macrophages to infiltrate and reside in the tissue. In the heart following lethal irradiation and BMT, almost all of cardiac-resident macrophages are replaced by donor-derived cells, which is very different to what is observed under homeostatic conditions (Figure 2B). In the case of CH models, where lethal irradiation is used to create the chimaera, this could conceivably alter the outcome of the disease process under study. For instance, following lethal irradiation and BMT, immune cells with mutant driver genes likely replace the recipient’s cardiac-resident macrophages.81 This situation would generally be unlikely to occur in humans with CH, and the mutation would not be present in some populations of cardiac-resident macrophages (i.e. CCR2MHCII and CCR2MHCII+ cardiac macrophages). This may substantially alter the disease sequelae and thus should be taken into consideration when using this approach to create models to study the impact of CH on CVD.

Shielded irradiation is a method that is being increasingly used in CH models to protect organs from radiation exposure.69 This procedure allows bone marrow to be reconstituted with donor-derived cells while protecting the tissue of interest with little or no perturbation of the tissue-resident macrophage populations. To shield the chest, and thereby protect cardiac-resident immune cells from radiation, our laboratory has found that using a curved lead plate over the chest of mice is useful (Figure 2C). Using the chest-shielded BMT procedure, the donor chimaerism of over 70% can be achieved in blood while the cardiac-resident macrophage population is largely kept intact (Figure 2D). It should be noted that the thickness of the lead shield will be dictated by the type of irradiation used to induce the conditioning. Therefore, a greater thickness of lead shield is required when using caesium source-based irradiators in comparison with using X-ray-based irradiators.

2.6 BMT without pre-conditioning

As discussed above, lethal irradiation is an effective method of depleting most of the bone marrow haematopoietic cells, but this procedure also causes permanent damage to the bone marrow niche, including the supporting stromal cells.82 The bone marrow-stromal niche has critical roles in HSPC maintenance and lineage commitment. Thus, pre-conditioning will lead to substantial changes in HSPC output with larger proportions of mutant cells being generated (Figure 3A). Non-myeloablative BMT represents a method by which HSPC is engrafted without pre-conditioning of the recipient. Studies have reported that transplantation of bone marrow cells is possible without eliminating host cells, although the total level of engraftment is considerably low.83–86 However, this limitation does not diminish its value as a tool for studying CH, particularly when studying mutations that confer a competitive advantage to HSPC under homeostatic conditions.

BMT with or without pre-conditioning. Donor chimaerism of HSPC populations in bone marrow was evaluated at 1 month after BMT by flow cytometry analyses. (A) Lethally irradiated recipient mice (CD45.2+) were subjected to bone marrow reconstitution with CD45.1+ bone marrow cells (blue) after lethal whole-body irradiation. A large fraction of the different HSPC population in bone marrow were replaced with donor cells. (B) Recipient mice (CD45.2+) were subjected to BM reconstitution with CD45.1+ bone marrow cells (red) without pre-conditioning. A total of 5×106 unfractionated donor cells were injected over 3 consecutive days (total =1.5 × 107 cells). A small fraction (∼5%) of the different HSPC populations in bone marrow was replaced with donor cells. In panel (A and B), bone with yellow colour = non-irradiated, bone with grey colour = lethally irradiated; cells with dark blue colour = wild-type cells, cells with red colour = mutated cells. (C) Absolute number of donor BM-derived cells in bone marrow, PB, and heart evaluated by flow cytometry analyses. The number of Linage−Sca1+c-Kit+ (LSK) cells and cardiac macrophages are shown as representative populations of bone marrow and heart, respectively. In this experiment, Pep Boy mice (CD45.1+) were subjected to BM reconstitution with CD45.2+ bone marrow cells (red) without pre-conditioning. A total of 5×106 unfractionated CD45.2+ donor cells (Tet2+/+, Tet2+/− or Tet2−/−) were injected over 3 consecutive days (totally 1.5×107 cells). Absolute number of Tet2-deficient donor cells increased, depending on the gene dosage, in bone marrow, blood and heart, and also increased in a time-dependent manner in blood. LT-HSC, long-term haematopoietic stem cell; ST-HSC, short-term haematopoietic stem cell; MPP, multipotent progenitor cell; BM, bone marrow; LSK, lineage-negative Sca1+C-kit+ cell; PB, peripheral blood; WBC, white blood cell; BMT, bone marrow transplantation.+/+ = wild-type, +/− = heterozygous, −/− = homozygous. The data from this figure are from Wang et al.,81 and it is republished with permission.
Figure 3

BMT with or without pre-conditioning. Donor chimaerism of HSPC populations in bone marrow was evaluated at 1 month after BMT by flow cytometry analyses. (A) Lethally irradiated recipient mice (CD45.2+) were subjected to bone marrow reconstitution with CD45.1+ bone marrow cells (blue) after lethal whole-body irradiation. A large fraction of the different HSPC population in bone marrow were replaced with donor cells. (B) Recipient mice (CD45.2+) were subjected to BM reconstitution with CD45.1+ bone marrow cells (red) without pre-conditioning. A total of 5×106 unfractionated donor cells were injected over 3 consecutive days (total =1.5 × 107 cells). A small fraction (∼5%) of the different HSPC populations in bone marrow was replaced with donor cells. In panel (A and B), bone with yellow colour = non-irradiated, bone with grey colour = lethally irradiated; cells with dark blue colour = wild-type cells, cells with red colour = mutated cells. (C) Absolute number of donor BM-derived cells in bone marrow, PB, and heart evaluated by flow cytometry analyses. The number of LinageSca1+c-Kit+ (LSK) cells and cardiac macrophages are shown as representative populations of bone marrow and heart, respectively. In this experiment, Pep Boy mice (CD45.1+) were subjected to BM reconstitution with CD45.2+ bone marrow cells (red) without pre-conditioning. A total of 5×106 unfractionated CD45.2+ donor cells (Tet2+/+, Tet2+/− or Tet2−/−) were injected over 3 consecutive days (totally 1.5×107 cells). Absolute number of Tet2-deficient donor cells increased, depending on the gene dosage, in bone marrow, blood and heart, and also increased in a time-dependent manner in blood. LT-HSC, long-term haematopoietic stem cell; ST-HSC, short-term haematopoietic stem cell; MPP, multipotent progenitor cell; BM, bone marrow; LSK, lineage-negative Sca1+C-kit+ cell; PB, peripheral blood; WBC, white blood cell; BMT, bone marrow transplantation.+/+ = wild-type, +/− = heterozygous, −/− = homozygous. The data from this figure are from Wang et al.,81 and it is republished with permission.

Recently, Wang et al.81 and Fuster et al.87 used non-conditioning BMT approaches to study the effect of Tet2-mediated CH on the cardiovascular and metabolic systems, respectively, under homeostatic conditions. In these studies, 5 ×106 unfractionated CD45.2+ bone marrow cells from either Tet2-deficient or wild-type mice were transplanted into recipient mice (CD45.1+) without pre-conditioning over 3 consecutive days (a total of 1.5 ×107 cells per mouse). Congenic markers were used for tracking the donor-derived cells in the PB as well as in tissues. The successful transplantation of wild-type bone marrow cells into recipient mice can be observed at 6 weeks post-BMT (Figure 3B), revealing a relatively low but stable engraftment of donor-derived cells into LSK and other HSPC fractions at 8 months post-BMT. In line with these findings, there is minimal contribution of the wild-type donor cells to circulating leucocyte subsets and monocyte-derived cardiac macrophages. In contrast, the adoptive transfer of Tet2-deficient bone marrow cells leads to a much higher chimaerism of LSK cells and robust expansion into other haematopoietic cell populations. A higher degree of chimaerism was observed following transplantation of homozygous Tet2-deficient cells compared to heterozygous Tet2-deficient cells, indicating a dose–dependent relationship (Figure 3C). Notably, there is negligible replacement of the embryonic-derived populations of cardiac-resident macrophages (MHCII+CCR2 and MHCIICCR2) by donor-derived cells using the non-conditioning method. This finding differs from what is observed in irradiated animals whereby donor cells replace a substantial population of resident macrophages in the heart. Collectively, these data show that BMT without pre-conditioning is a suitable method to engraft HSPC, without damage to the bone marrow niche or organs, and this represents a useful model to study CH and its contribution to tissue pathologies under homeostatic conditions.

2.7 Potential pitfalls of congenic markers in CH-CVD research

As indicated in the sections above, mouse strains, such as the CD45.1 and CD45.2 variants, are commonly used to distinguish mutant cells from wild-type cells in competition assays. The congenic strain with the Ptprca allele (CD45.1; B6.SJL-Ptprca Pepcb/BoyJ), commonly referred to as ‘Pep Boy’ mice, was created by extensively back-crossing the SJL/J strain (Ptprca) with the C57BL/6 strain (Ptprcb; CD45.2). These animals are therefore on a C57BL/6 background and have been extensively used in studies involving competitive BMT experiments. The CD45.1 and CD45.2 variants differ by five amino acids within the extracellular domain, which enables these variants to be distinguished by flow cytometric analysis using monoclonal antibodies directed against these epitopes. A competitive BMT is typically performed by transplanting a fraction of CD45.2+ test cells mixed with CD45.1+ competitor cells into recipient mice. While useful for studies of CH, there are several potential issues associated with the use of these strains. Investigators have found that HSPC from Pep Boy mice (CD45.1+) have an inherent disadvantage over HSPC from C57BL/6 mice (CD45.2+), due to a decrease in homing efficiency, reduced numbers of LT-HSC, and an intrinsic cell-engraftment defect.88,89 Further, a study by Jang et al.90 reported that C57BL/6 and Pep Boy respond differently to viral challenge, whereby Pep Boy mice are more resistant to cytomegalovirus and more susceptive to influenza virus than C57BL/6 mice. Emerging evidence also suggests that C57BL/6 and Pep Boy mice exhibit genetic differences in the region of the Ptprc allele.89 These studies suggest that genetic differences between C57BL/6 and Pep Boy mice could confound studies of experimental CH and therefore should be taken into account when designing well-controlled experiments.

2.8 Ex vivo genome editing of HSPC

Experimental studies employing transgenic mice have provided detailed information about the pathogenesis of a small number of driver gene mutations in HSPC.91,92 However, dozens of other candidate driver genes have yet to be studied. Analyses of the mechanistic relationships between the large number of driver gene mutations and disease are hampered by the cost and time required to maintain the relevant transgenic mouse strains. In contrast to standard transgenesis approaches, the clustered regularly interspaced short palindromic repeats (CRISPR)-based gene editing system enables greater flexibility and more rapid gene manipulation in studies of CH. Briefly, CRISPR-based genome editing system requires two major components: single-guide RNA (sgRNA) that targets a putative driver gene and a Cas nuclease (e.g. Cas9).93 The sgRNA directs Cas9 to generate a double-stranded break in the target sequence of the genomic DNA. This DNA damage triggers DNA repair systems to fix the break, creating a series of random mutations at the targeted sequence.

Heckl et al.94 utilized CRISPR to introduce mutations in mouse primary HSPC to study myeloid malignancies. In this study, lentivirus vectors were used to deliver both a sgRNA and Cas9 to HSPC, and a variety of driver genes were evaluated for their ability to promote haematologic malignancies following HSPC transplantation to lethally irradiated mice. Sano et al.95 repurposed this method to study the impact of CH on CVD, and demonstrated that either Tet2 or Dnmt3a loss-of-function mutations in haematopoietic cells could accelerate AngII-induced HF. In these studies, wild-type, lineage-negative bone marrow cells from mice were transduced ex vivo with a lentivirus that used different promoters to encode Cas9, the cell marker protein eGFP and sgRNAs that target the driver gene (e.g. Tet2 or Dnmt3a). These cells were then transplanted into lethally irradiated mice to establish the mouse model of CH. In subsequent studies, it was shown that the efficiency of target gene editing could be dramatically improved by separating the sgRNA and Cas9 components.96 In this refinement, donor HSPCs are derived from Cas9-transgenic mice and the lentivirus vector is solely used to deliver the sgRNA.

The introduction of CRISPR technology enables the rapid and relatively affordable manipulation of many candidate driver genes. However, there are concerns that should be considered. For example, many CH-driver genes exhibit ‘hotspot’ sites of mutations. An example is the missense mutations at R882 residue in DNMT3A gene, most commonly resulting in arginine to histidine change (i.e. DNMT3AR882H), that is suggested to differentially impact protein function relative to other mutations in DNMT3A.17,97 This highlights the need to recreate somatic mutations at a single-base resolution. Whereas the widely used CRISPR systems typically result in the stochastic introduction of mutations that result in an array of different mutations in neighbouring cells, technological advancements in CRISPR-Cas toolkits, such as homology-directed repair, should allow for highly specific gene editing in the near future.98

Other limitations associated with the CRISPR/Cas system should be noted. In addition to off-target effects, which introduces double strand break in unintended target sites, it has been reported that CRISPR/Cas system activates the DDR pathway resulting in growth disadvantage or cell cycle arrest.99,100 Moreover, Cas9 expression itself is reported to activate p53 and increase the transcription of p53 target genes, although this effect has yet to be examined in HSPC.100 Therefore, employing CRISPR/Cas-mediated genome editing in the haematopoietic system requires appropriate experimental controls. For example, controls should include the use of gRNAs that produce double strand breaks in non-essential regions of the genome to evaluate possible confounding effects. These precautions are particularly important when applying CRISPR/Cas technology to studies of mutations in DDR genes, such as TP53 and PPM1D, which are enriched in individuals with t-CH.29,30

3. Experimental finding in disease models

Numerous studies have reported an association between CH and various cardiovascular disorders. However, epidemiological studies are inherently descriptive and generally lack information about causality, directionality, and mechanism. Thus, a series of studies in model systems have been employed to elaborate the details of the relationships between CH and CVD (Figure 4). The following sections and Table 2 describe the mouse models used to assess these relationships and summarize the current findings.

Currently reported animal models of CH and CVD. Using various BMT models of CH, mice were subjected to various models of CVD. To generate the atherosclerosis model, Ldlr-deficient hypercholesterolemic mice were used as recipients and fed a western diet. HF models were performed with operations, such as TAC, LAD artery ligation or AngII infusion pump implantation. To establish metabolic disease models, such as insulin resistance and obesity, recipient mice were fed on a high-fat/high-sucrose diet (HFHS). Venous thrombosis model was performed by ligation of the IVC. For ageing studies, non-conditioned mice underwent adoptive BMT and were maintained on a normal chow diet as they aged (>1 year). AIC model was performed by the intraperitoneal injection of an anthracycline (such as Dox) delivered in cycles. Donor cell chimaerism of PB is typically assessed by flow cytometry analysis, and CVD phenotypes were evaluated at various time points depending on the disease model.
Figure 4

Currently reported animal models of CH and CVD. Using various BMT models of CH, mice were subjected to various models of CVD. To generate the atherosclerosis model, Ldlr-deficient hypercholesterolemic mice were used as recipients and fed a western diet. HF models were performed with operations, such as TAC, LAD artery ligation or AngII infusion pump implantation. To establish metabolic disease models, such as insulin resistance and obesity, recipient mice were fed on a high-fat/high-sucrose diet (HFHS). Venous thrombosis model was performed by ligation of the IVC. For ageing studies, non-conditioned mice underwent adoptive BMT and were maintained on a normal chow diet as they aged (>1 year). AIC model was performed by the intraperitoneal injection of an anthracycline (such as Dox) delivered in cycles. Donor cell chimaerism of PB is typically assessed by flow cytometry analysis, and CVD phenotypes were evaluated at various time points depending on the disease model.

Table 2

Summary of experimental studies reporting a causal connection between CH and CVD

Driver geneClonal haematopoiesis modelCVD modelDisease phenotypeSuggested mechanismsReference
Tet2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Pro-inflammatory transcripts18,72
KO donorNlrp3, Il1b, Il6 in macrophages
Tet2Myeloablative BMTMI (LAD ligation)↑Cardiac remodellingNlrp3, Il1b, Il6 in macrophages71
KO donorPO (TAC)
Tet2Myeloablative BMTPO (AngII)↑Cardiac remodellingIl1b, Il6 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Tet2Non-myeloablative BMTAgeing↑Cardiac remodelling↑Pro-inflammatory transcripts in cardiac macrophages81
KO donor
Dnmt3aMyeloablative BMTPO (AngII)↑Cardiac remodellingIl6, Cxcl1/2, Ccl5 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Jak2Myeloablative BMTVenous thrombosis↑Thrombosis↑NET formation28
Jak2V617F donor↑MPN
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↓Erythrophagocytosis106
Jak2V617F donor↑MPNNlrp3, Il1b, Il6 in macrophages
JAK2Myeloablative BMTMI (LAD ligation)↑Cardiac remodelling↑IFNGR1 mediated AIM2, IL1B, IL6, TNF in THP-1 cells104
ex vivo myeloid-promoterPO (TAC)
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Proliferation and glycolytic metabolism108
Jak2V617F donor↑MPNAim2, Il1b in macrophages
Tp53Non-myeloablative BMTAIC↑Cardiac remodelling↑Prolonged neutrophil infiltration31
Myeloablative BMT↑ROS in neutrophils
Het donor
Driver geneClonal haematopoiesis modelCVD modelDisease phenotypeSuggested mechanismsReference
Tet2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Pro-inflammatory transcripts18,72
KO donorNlrp3, Il1b, Il6 in macrophages
Tet2Myeloablative BMTMI (LAD ligation)↑Cardiac remodellingNlrp3, Il1b, Il6 in macrophages71
KO donorPO (TAC)
Tet2Myeloablative BMTPO (AngII)↑Cardiac remodellingIl1b, Il6 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Tet2Non-myeloablative BMTAgeing↑Cardiac remodelling↑Pro-inflammatory transcripts in cardiac macrophages81
KO donor
Dnmt3aMyeloablative BMTPO (AngII)↑Cardiac remodellingIl6, Cxcl1/2, Ccl5 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Jak2Myeloablative BMTVenous thrombosis↑Thrombosis↑NET formation28
Jak2V617F donor↑MPN
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↓Erythrophagocytosis106
Jak2V617F donor↑MPNNlrp3, Il1b, Il6 in macrophages
JAK2Myeloablative BMTMI (LAD ligation)↑Cardiac remodelling↑IFNGR1 mediated AIM2, IL1B, IL6, TNF in THP-1 cells104
ex vivo myeloid-promoterPO (TAC)
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Proliferation and glycolytic metabolism108
Jak2V617F donor↑MPNAim2, Il1b in macrophages
Tp53Non-myeloablative BMTAIC↑Cardiac remodelling↑Prolonged neutrophil infiltration31
Myeloablative BMT↑ROS in neutrophils
Het donor

CVD, cardiovascular disease; KO, knock out; Het, heterozygous; MI, myocardial infarction; LAD, left anterior descending; PO, pressure-overload; AngII, angiotensin II; MPN, myeloproliferative neoplasms; AIC, anthracycline-induced cardiomyopathy.

Table 2

Summary of experimental studies reporting a causal connection between CH and CVD

Driver geneClonal haematopoiesis modelCVD modelDisease phenotypeSuggested mechanismsReference
Tet2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Pro-inflammatory transcripts18,72
KO donorNlrp3, Il1b, Il6 in macrophages
Tet2Myeloablative BMTMI (LAD ligation)↑Cardiac remodellingNlrp3, Il1b, Il6 in macrophages71
KO donorPO (TAC)
Tet2Myeloablative BMTPO (AngII)↑Cardiac remodellingIl1b, Il6 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Tet2Non-myeloablative BMTAgeing↑Cardiac remodelling↑Pro-inflammatory transcripts in cardiac macrophages81
KO donor
Dnmt3aMyeloablative BMTPO (AngII)↑Cardiac remodellingIl6, Cxcl1/2, Ccl5 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Jak2Myeloablative BMTVenous thrombosis↑Thrombosis↑NET formation28
Jak2V617F donor↑MPN
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↓Erythrophagocytosis106
Jak2V617F donor↑MPNNlrp3, Il1b, Il6 in macrophages
JAK2Myeloablative BMTMI (LAD ligation)↑Cardiac remodelling↑IFNGR1 mediated AIM2, IL1B, IL6, TNF in THP-1 cells104
ex vivo myeloid-promoterPO (TAC)
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Proliferation and glycolytic metabolism108
Jak2V617F donor↑MPNAim2, Il1b in macrophages
Tp53Non-myeloablative BMTAIC↑Cardiac remodelling↑Prolonged neutrophil infiltration31
Myeloablative BMT↑ROS in neutrophils
Het donor
Driver geneClonal haematopoiesis modelCVD modelDisease phenotypeSuggested mechanismsReference
Tet2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Pro-inflammatory transcripts18,72
KO donorNlrp3, Il1b, Il6 in macrophages
Tet2Myeloablative BMTMI (LAD ligation)↑Cardiac remodellingNlrp3, Il1b, Il6 in macrophages71
KO donorPO (TAC)
Tet2Myeloablative BMTPO (AngII)↑Cardiac remodellingIl1b, Il6 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Tet2Non-myeloablative BMTAgeing↑Cardiac remodelling↑Pro-inflammatory transcripts in cardiac macrophages81
KO donor
Dnmt3aMyeloablative BMTPO (AngII)↑Cardiac remodellingIl6, Cxcl1/2, Ccl5 in J774.1 cells95
ex vivo CRISPR↑Renal fibrosis
Jak2Myeloablative BMTVenous thrombosis↑Thrombosis↑NET formation28
Jak2V617F donor↑MPN
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↓Erythrophagocytosis106
Jak2V617F donor↑MPNNlrp3, Il1b, Il6 in macrophages
JAK2Myeloablative BMTMI (LAD ligation)↑Cardiac remodelling↑IFNGR1 mediated AIM2, IL1B, IL6, TNF in THP-1 cells104
ex vivo myeloid-promoterPO (TAC)
Jak2Myeloablative BMTAtherosclerosis↑Atherosclerosis↑Proliferation and glycolytic metabolism108
Jak2V617F donor↑MPNAim2, Il1b in macrophages
Tp53Non-myeloablative BMTAIC↑Cardiac remodelling↑Prolonged neutrophil infiltration31
Myeloablative BMT↑ROS in neutrophils
Het donor

CVD, cardiovascular disease; KO, knock out; Het, heterozygous; MI, myocardial infarction; LAD, left anterior descending; PO, pressure-overload; AngII, angiotensin II; MPN, myeloproliferative neoplasms; AIC, anthracycline-induced cardiomyopathy.

3.1 Atherosclerosis

Genetically modified hypercholesterolemic mice (Ldlr-deficient mice or Apoe-deficient mice) are typically used to study atherosclerosis, and plaque buildup is accelerated in these models by feeding these animals a high-fat high-cholesterol (HFHC) diet.101 For studies involving BMT procedures, the HFHC diet is typically started ∼4 weeks after BMT in conditioned mice, providing sufficient time for the donor haematopoietic cells to reconstitute in the bone marrow. Depending on the experiment, the atherosclerotic lesion can be evaluated at ∼2–3 months after HFHC diet feeding. Studies have detailed sex differences in the pathogenesis of atherosclerosis in this model, highlighting the importance of including animals of both sexes in experimental studies.102 Nevertheless, studies predominantly use female mice as they develop atherosclerotic lesions faster than male mice.

To determine whether a causal connection exists between CH and CVD, our laboratory assessed the impact of Tet2-mediated CH on the development of atherosclerosis.72 To create a mouse model of CH, the congenic competitive BMT approach was used, as described in the sections above. Briefly, lethally irradiated female Ldlr/ mice were transplanted with a mixture of bone marrow cells containing 10% CD45.2 (Tet-deficient or wild-type) and 90% CD45.1 competitor cells. Recipient mice were then fed a normal diet or a HFHC diet for 9 weeks to induce atherosclerosis. Following BMT, Tet2-deficient cells expanded progressively in the bone marrow, spleen and blood exhibited a slight myeloid bias with preferential expansion into the Ly6Chi monocyte population. Importantly, there was no effect of haematopoietic Tet2 deficiency on the total numbers of white blood cells, which is similar to what is observed in cancer-free humans that exhibit CH. The expansion of Tet2-deficient cells in this fashion accelerated atherosclerosis, leading to a 60% increase in plaque size at 12 weeks post-BMT. Notably, there were no differences observed in plasma cholesterol, blood glucose, and body or spleen weight between mice that received Tet2-deficient cells and those that received wild-type cells. To more closely model the human condition, whereby most individuals have a mutation at a single TET2 allele, the impact of Tet2 haploinsufficiency was also examined using the similar congenic competitive BMT strategy. In these experiments, heterozygosity of Tet2 also accelerated the development of atherosclerosis, although the phenotype was milder than what was observed following transplantation of homozygous cells. It was also noticed that the kinetics of clonal expansion was slower for heterozygous cells indicating a gene dose–dependent effect. As it was observed that haematopoietic Tet2 deficiency led to myeloid skewing and a greater proportion of CD45.2 macrophages within the vessel wall, the contribution of myeloid cells to the atherosclerotic phenotype was also investigated. Thus, BMT and Lyz2-Cre/LoxP strategies were used to generate atherosclerosis-prone mice exhibiting Tet2 deficiency restricted to myeloid cells. More precisely, Ldlr-deficient mice were transplanted with Tet2flox/floxLyz2Cre/+ (myeloid-specific Tet2-deficient) cells or Tet2flox/floxLyz2Cre/ (wild-type) and fed an HFHC diet for 9 weeks. Mice that received Tet2-deficient myeloid cells exhibited larger atherosclerotic plaques, demonstrating myeloid cells are likely responsible for the pro-atherosclerotic phenotype.

Jaiswal et al.18 reported similar findings in a mouse model of atherosclerosis. In this study, female Ldlr-deficient mice on Pep Boy (CD45.1) background were lethally irradiated and transplanted with CD45.2-expressing Tet2flox/floxVav1Cre/+ (Tet2-deficient) or Tet2flox/floxVav1Cre/ (wild-type) cells. Mice were then placed on an HFHC diet at 4 weeks post-BMT for either 5, 9, or 17 weeks. Recipients that received the Tet2flox/floxVav1Cre/+ donor cells exhibited enhanced atherosclerotic lesions in the aortic root after 5 or 9 weeks on the HFHC diet. It was also noted that the atherosclerotic lesion was larger in the descending portion of the aorta at 17 weeks after HFHC diet feeding. In this study, a conventional BMT approach was employed, whereby all transplanted haematopoietic cells were deficient in Tet2. In contrast to what was observed in the study by Fuster et al.,72 the authors of this study noted a large infiltration of macrophages-2 positive cells in the spleen, kidney, lung and liver, and widespread xanthomas of recipients who received Tet2flox/floxVav1Cre/+ donor cells; observations that are not consistent with what is observed in individuals with CH without an overt haematological condition. This study also found that myeloid-specific deletion of Tet2 led to an augmented atherosclerotic lesion, providing additional evidence that the effects of haematopoietic Tet2 loss-of-function are mediated through myeloid cells. Collectively, these studies consistently show that experimental Tet2-loss-of-function in HSPC accelerates atherosclerosis, suggesting that the relationship between CH and CVD is causal.

A recent study by Heyde et al.103 proposed the possibility that CH might be a symptom rather than a cause of atherosclerosis. Specifically, these investigators found that HSPC proliferation was markedly increased in both atherosclerotic mice and patients with atherosclerosis compared to controls. This atherosclerosis-induced HSPC proliferation was predicted to promote the somatic evolution and expansion of mutant clones in a mathematical model. Evidence for this hypothesis was provided by mouse models of atherosclerosis and sleep fragmentation in which the expansion Tet2-deficient bone marrow cells were accelerated, suggesting a reverse causality between CH and disease progression. However, these findings are generally inconsistent with previous experimental studies showing that neither hypercholesterolemia-induced atherosclerosis nor ischaemic heart diseases accelerated the clonal expansion of Tet2 mutant cells.71,72 On the other hand, ischaemic heart disease has been shown to promote the expansion of haematopoietic cells harbouring the JAK2V617F mutation in a murine model.104 Taken together, these discrepancies highlight the need for additional well-designed experimental studies in mice and longitudinal studies in human cohorts.105

As noted above, mechanistic studies suggest that pro-inflammatory macrophages function as key players in mediating the accelerated atherosclerosis phenotype caused by Tet2 loss-of-function in haematopoietic cells.18,72 In support to this hypothesis, enhanced expression of pro-inflammatory cytokines and chemokines, particularly the over-production of IL-1β, were detected both in plaques of atherosclerotic mice transplanted with Tet2-deficient cells and in the isolated Tet2-deficient macrophages with lipopolysaccharide stimulation, suggesting the pivotal role of IL-1β. Further, elevated IL-1β expression was found to promote endothelial cell activation and SELP expression, which further promotes monocyte recruitment to the lesion site and perpetuates vascular inflammation and atherosclerosis.72 This study also found that wild-type Tet2 inhibits Il1b transcription via modulating the recruitment of histone deacetylase to the Il1b promoter and that TET2 regulates components of NLR family pyrin domain-containing 3 (NLRP3) inflammasome, which is responsible for cleavage of pro-IL-1β and secretion of active IL-1β. Treating mice with MCC950, a selective NLRP3 inflammasome inhibitor, reduced atherosclerotic plaque burden in Tet2-deficient mice and eliminated the differences in plaque size between genotypes. Collectively, these data highlight the crucial role of IL-1β/NLRP3 signalling in mediating the effect of CH on the pathogenesis of atherosclerosis.

In addition to TET2, investigations on the impact of JAK2V617F-mediated CH on CVD has been of interest since an association between individuals that harbour this type of mutation and CVD has been reported.18 Initially, Wang et al.106 investigated the role of the haematopoietic Jak2V617F mutation on the development of atherosclerosis, albeit in a mouse model that also displays haematologic malignancy phenotypes. The authors utilized mice expressing the physiological level of mouse form of the mutation, Jak2V617F, following Mx1-driven, Cre-mediated recombination.47 To create the atherosclerosis model, Ldlr-deficient mice were lethally irradiated and transplanted with Jak2V617F/+Mx1Cre/+ or control bone marrow cells, and subsequently placed on an HFHC diet. At 7 weeks of HFHC diet feeding, recipient mice transplanted with Jak2V617F-positive haematopoietic cells displayed an increased plaque burden compared with control mice despite lower serum cholesterol and triglyceride levels. The lower indices of plasma cholesterol seen in mice transplanted with Jak2V617F mutant cells are consistent with what is observed in humans with the analogous mutation.107 At 12 weeks of HFHC diet feeding, the recipient mice transplanted with Jak2V617F mutant cells exhibited a tendency for an increased lesion size and necrotic core area, together with the NLRP3 and Caspase11 dependent macrophage inflammasomes activation observed in Jak2V617F macrophage and thereby exacerbated pro-inflammatory signalling, likely contribute to the plaque instability.106 Furthermore, analysis of plaque composition revealed that there was increased erythrophagocytosis and decreased efferocytosis in the plaque. Although these studies provided evidence that JAK2V617F-mediated CH could increase the risk of atherosclerotic CVD, it should be noted that the pan-haematopoietic Jak2V617F mouse model also displayed abnormalities associated with MPN including increased haematocrit that are not observed in individuals with CH.

In a more recent study, Fidler et al.108 utilized two models to investigate the potential mechanisms of how Jak2V617F CH promotes atherosclerosis. Specifically, they transplanted bone marrow from tamoxifen inducible, macrophage-specific Jak2V617F expression (Cx3cr1-cre Jak2V617F) mice to irradiated Ldlr-deficient mice. After 15 weeks of HFHC diet, mice with macrophage expression of Jak2V617F exhibited significantly more atherosclerotic lesion size, macrophage proliferation, and necrotic core formation compared to WT controls. This finding was further corroborated in a second Ldlr-deficient model using competitive BMT to mimic CH, where donor bone marrow was comprised of 20% wild-type or Mx1-cre Jak2V617F mice. Consistent with the previous report,106 the Jak2V617F mutation increased IL-1β expression and activated both NLRP3 and Caspase-1/11 dependent inflammasomes in macrophages. The Jak2V617F-expressing macrophage was also shown to have metabolic alterations, which lead to mitochondrial reactive oxygen species over-production, double-stranded DNA breaks, and activation of the AIM2 inflammasome. Up-regulation of AIM2 inflammasome expression was also observed in JAK2V617F macrophages in a previous report,104 and activation was shown to be dependent upon the interferon receptor gamma 1 upstream of STAT signalling. Notably, Fidler et al.108 showed AIM2 inflammasome depletion largely reversed the prominent atherosclerosis phenotype driven by Jak2V617F in haematopoietic cells. Taken together, the involvement of the NLRP3 and AIM2 inflammasomes by mutant forms of JAK2/Jak2 further supports the concept that inflammation is a critical component of CH-mediated cardiovascular pathogenesis.

3.2 Heart failure

Myocardial damage can eventually lead to defects in ventricular pumping and/or filling. This common condition, referred to as HF, can be modelled in mice by various procedures. To model HF of ischaemic origin, temporary or permanent surgical ligation of the left anterior descending (LAD) artery is commonly performed to recapitulate a myocardial infarction. To investigate non-ischaemic HF, a pressure-overload model involving transverse aortic constriction (TAC) has been employed. Alternatively, since the renin-angiotensin system is a key determinant of arterial blood pressure, the implantation of an osmotic pump to continuously deliver AngII can be employed to produce cardiac hypertrophy and non-ischaemic HF. All of these models induce injury to the heart and lead to the progressive decline of cardiac function over time.

Sano et al.71 examined whether the comorbidity of Tet2-mediated CH promotes HF phenotypes in experimental models. In this study, the LAD ligation and TAC models of HF were employed at ∼8 weeks following a competitive BMT procedure with mutant and wild-type cells. In both models, mice with haematopoietic Tet2 deficiency displayed significantly worse features of HF outcome as demonstrated by poorer cardiac contractility and greater tissue fibrosis, inflammation, and cardiac hypertrophy compared to mice transplanted with wild-type bone marrow cells. Further, it was shown that myeloid-specific Tet2 ablation was sufficient to promote the HF phenotypes in both models, highlighting the key roles that these immune cells exert in the pathogenesis of various forms of HF. Evidence was provided that the over-production of IL-1β by Tet2-deficient macrophages and subsequent hyper-inflammation contributes to the exacerbated HF phenotypes. Specifically, the detrimental effects of haematopoietic Tet2 deficiency could be alleviated by treatment with a NLRP3 inflammasome inhibitor, supporting the central role of macrophage IL-1β signalling in the pathologies attributed to haematopoietic Tet2 deficiency. A subsequent study by Sano et al.95 employed lentivirus-mediated delivery of CRISPR/Cas9 components to edit driver genes in a model of HF. In this study, Tet2 editing in HSPC by CRISPR/Cas9 methodology replicated the effects of a competitive BMT with Tet2-deficient cells in an HF model that employed the continuous infusion of AngII. Sano et al.95 further employed the lentiviral/CRISPR-Cas9 approach to investigate the effects of haematopoietic loss-of-function of Dnmt3a gene on HF in mice. Under these experimental conditions, Dnmt3a-deficient HSPC did not display clonal expansion properties, whereas similar editing of Tet2 in HSPC led to expansion. Notably, a recent study reported that Interferon-γ signalling induced by chronic mycobacterial infection could drive the clonal expansion of Dnmt3a-deficient HSPC, highlighting a potential environmental driver of Dnmt3a-mediated CH.109 Regardless, haematopoietic cell Dnmt3a deficiency generated by lentiviral/CRISPR-Cas9 approach only achieved a mutation VAF of 5–10%, yet this was sufficient to promote greater cardiac dysfunction, hypertrophy, and fibrosis.95 These experiments also observed increased myocardial inflammation by assessing markers of monocytes (Cd68) and T cell (Cd3e, Cd4, and Cd8) infiltration in the AngII infusion model. A similar pro-inflammatory signature was subsequently observed in chronic ischaemic HF patients with DNMT3A-mediated CH.110 In this study, single-cell RNA sequencing of PB revealed a pro-inflammatory monocyte profile and evidence of monocyte-T cell interactions in HF patients. Collectively, these studies provided initial evidence that TET2 and DNMT3A-mediated CH could contribute to the pathogenesis of HF through the overactivation of inflammatory pathways. Subsequent studies of CH in patients with chronic ischaemic HF revealed that TET2 and DNMT3A-mediated CH was indeed associated with worse prognosis.22

As noted previously, the creation of a mouse model of JAK2V617F-mediated CH is challenging because mice engrafted with these mutant HSPC display MPN phenotypes that can confound the cardiovascular phenotype under investigation. Notably, this confounding phenotype can be apparent even when using cell type-specific promoters. For example, Lyz2Cre/Jak2V617F mice are reported to exhibit an MPN phenotype, perhaps due to Cre-expression in small populations of HSPC,62 further highlighting the issue of specificity with this traditional ‘myeloid-specific’ Cre driver. To overcome these challenges, Sano et al.104 employed the ex vivo lentivirus-mediated, HSPC transduction method to create myeloid-specific JAK2V617F mice using a synthetic enhancer SP146 and myeloid-specific gp91-promoter combination to express this mutant driver gene. Notably, this experimental study focused on the effect of JAK2V617F in myeloid-lineage cells because JAK2V617F expressed from the Vav1 promoter was observed to result in a strong myeloid cell expansion bias in a competitive BMT assay.104 Under control of this synthetic promoter/enhancer the transgene is silent in the transduced HSPC, but expressed following differentiation to neutrophils, monocytes, and macrophages. This strategy avoids the MPN phenotype, and mice display normal counts of red blood cells, platelets, and white blood cells. Accordingly, these myeloid-specific, JAK2V617F-expressing mice showed accelerated cardiac dysfunction following experimental myocardial infarction or pressure overload-mediated hypertrophy, which is associated with cytokine activation in the myocardium.

3.3 Anthracycline-induced cardiomyopathy

Anthracyclines, such as doxorubicin (Dox), are conventional components of chemotherapeutic regimens for both solid and haematological cancers. However, both short and long-term AIC is a prominent adverse event that is associated with the use of these drugs.111 As noted previously, t-CH is often observed in cancer survivors where genotoxic stress of cancer therapy can accelerate the clonal expansion of pre-existing Tp53 or Ppm1d mutations in HSPC.29,112–114 In light of findings, it is tempting to speculate if the clonal expansion of HSPC with mutations in genes encoding DDR pathway regulators may contribute to the long-term risk of AIC.31

To model AIC in a clinically relevant manner, intraperitoneal injections of Dox are typically administered in cycles to mice.113 Using this model, Sano et al.31 recently investigated the potential role of t-CH in Dox-induced cardiomyopathy using Tp53 as a test case. Notably, in distinct adoptive BMT models using either heterozygous Tp53 deficiency or Tp53R270H as donor cells, Dox administration promoted the expansion of pre-existing Tp53 mutant cells, and these models of clonal HSPC expansion were associated with significantly worse cardiac outcome as demonstrated by greater functional impairments and myocardial wall thinning, greater fibrosis and a reduced capillary density in the myocardium compared to mice transplanted with wild-type bone marrow cells. Mechanistically, Dox administration led to the prolonged infiltration of neutrophils as a source of oxidative/nitrosative stress damage in the myocardium. These adverse effects were augmented by Tp53-deficiency, and Tp53-mutant neutrophils displayed substantial transcriptional changes associated with neutrophil recruitment and activation. Notably, the depletion or pharmacological inhibition of neutrophils led to an amelioration of the Dox-induced cardiomyopathy in both control mice and in mouse models of TP53-mediated t-CH. Collectively, these data suggest that t-CH could contribute to the risk of HF that develops in cancer survivors. Indeed, the clinical application of these experimental findings awaits future validation in studies of cancer survivors.

3.4 Venous thrombosis

Venous thrombosis is an age-dependent disorder that is associated with mortality. While the incidence is <0.005% per year among individuals under the age of 15 years, it increases sharply after age 60 and reaches 0.5% per year among those over the age of 80 years.115 To model venous thrombosis, ligation of the inferior vena cava (IVC) is widely employed.116 Full or partial ligation of IVC just caudal to the left renal vein creates a stasis or stenosis venous thrombosis model, respectively. These models resemble features of human thrombus,117 and they rely on different components of the coagulation system. The stenosis model involves neutrophil extracellular traps (NET) formation, whereas the stasis model is NET-independent.118

JAK2V617F-mediated CH is associated with a pro-thrombotic phenotype and this could put individuals with this condition at a greater risk of thrombotic cardiovascular events.28 To elucidate potential causal connections between JAK2V617F-mediated CH and venous thrombosis, Wolach et al.28 performed both full ligation and partial ligation of the IVC in recipient mice following a non-competitive, myeloablative BMT with donor bone marrow c-Kit+ cells from Jak2V617F/+ × Vav1Cre mice and Jak2WT mice. In the stenosis model, but not stasis model, mice transplanted with cells from Jak2V617F/+ × Vav1Cre mice displayed increased venous thrombosis compared to mice transplanted with wild-type cells. This venous thrombosis phenotype was associated with greater NET formation, and inhibition of JAK-STAT signalling with ruxolitinib reversed NET formation and diminished the incidence of venous thrombosis attributed to the haematopoietic Jak2V617F mutation. The mouse model employed in these experiments displays MPN phenotypes, and this is a limitation of these studies as these phenotypes are not observed in human CH carriers. However, these data provide potential clues to the mechanisms by which JAK2V617F-mediated CH may increase the incidence of CVD. Additionally, Edelmann et al.119 found that granulocytes expressing the activating JAK2 (or Jak2) mutation are more adhesive to vascular endothelial cells due to the enhanced activation of β1 and β2 integrins, thereby promoting pathological thrombus formation in the stenosis model. In aggregate, experimental studies in different venous thrombosis models indicate that JAK2V617F-mediated CH could contribute to an increased risk of venous thrombosis through multiple mechanisms. It should also be noted that CH involving other driver genes is also associated with an increased risk of venous thrombosis,28 and mechanistic details await further studies.

3.5 Metabolic disease

Insulin resistance is a risk factor for CVD.120 Some studies have reported associations between CH and the prevalence of diabetes,5,19 and a higher incidence of vascular complications was observed in diabetes patients with clonal expansions of chromosomal structural variants in blood cells.121 Therefore, the question of whether CH is causally associated with metabolic disease is of particular interest. To understand the metabolic consequences of CH at a molecular level, Fuster et al.87 evaluated the impact of Tet2-mutation-driven CH on insulin resistance employing two murine model systems. Because the myeloablative pre-conditioning BMT approach has limitations due to the confounding long-term side effects of γ-radiation, particularly in metabolic studies where mice do not develop robust diet-induced obesity,122–124 the adoptive transfer strategy in non-irradiated mice was employed.81 These mice were then monitored for the effects of the mutation on haematopoietic cell expansion and metabolic parameters in the context of ageing. Following BMT, mice were monitored until approximately 1.6 years with periodic evaluation of basic haematologic and metabolic parameters. Adoptive transfer led to stable engraftment of donor haematopoietic cells, and Tet2/ cells expanded progressively, whereas wild-type cells displayed little or no selective expansion.87 Consistent with the clinical paradigm of CH, the expansion of Tet2-deficient cells did not affect absolute numbers of WBCs or specific blood cell populations. There was a trend towards increased mortality in mice that received the Tet2-deficient bone marrow cells, and the expansion of Tet2-deficient haematopoietic cells had no effect on body weight or composition in mice that survived to the end of the experiment. However, these mice developed a progressive aggravation of systemic insulin resistance with ageing that was accompanied by increased fasting blood glucose levels and a significant reduction of insulin-stimulated Akt Ser473-phosphorylation in epididymal white adipose tissue, which is indicative of reduced insulin signalling.

In a second model, Fuster et al.87 evaluated the metabolic effects of TET2-mediated CH by employing competitive BMT to mice that received relatively low doses of radiation (two doses of 400 rad, 3 h apart). Following recovery from irradiation and BMT, mice were fed a high-fat/high-sucrose obesogenic diet for 14 weeks. As expected from prior studies,71,72  Tet2-deficient bone marrow cells expanded progressively into all blood cell lineages but did not affect body weight or composition. However, the obesity-induced systemic insulin resistance was enhanced, and this was paralleled by increased fasting blood glucose levels and reduced insulin-induced Akt phosphorylation in adipose tissue. Collectively these data indicate that TET2 loss-of-function-driven CH aggravates insulin resistance induced by ageing or diet-induced obesity. At a mechanistic level, changes in Il1b transcript levels were observed in the adipose tissues of obese mice, whereas no significant change was detected in the transcript expression of a selected group of other pro-inflammatory cytokines and chemokines known to play a role in adipose tissue inflammation. Based on these findings, the effects of Tet2 inactivation-mediated CH on diet-induced obesity were evaluated in mice treated with the NLRP3 inflammasome inhibitor MCC950. Treatment with this drug suppressed IL-1β protein expression, but had no effects on body weight. However, MCC950-treatment suppressed the increased hyperglycaemia and insulin resistance associated with the expansion of Tet2-deficient cells. These data demonstrate that the NLRP3 inflammasome has a key role in the metabolic derangement associated with Tet2-mediated CH. Combined with findings in the models of CVD,71,72 these studies provide further evidence for an association between TET2 deficiency in the haematopoietic cells and the overactivation of the NLRP3 inflammasome in disease processes.

3.6 Age-associated cardiomyopathy

Ageing is associated with multiple pathological changes in the cardiovascular system.125 Mouse hearts undergo progressive age-dependent cardiac dysfunction that is associated with elevated levels of myocardial inflammation. In C57BL/6J mice, cardiac myopathy is typically observed by 18 months, and it is characterized by systolic dysfunction, left ventricle hypertrophy, and fibrosis.126 Using the adoptive transfer model, Wang et al.81 provided evidence that Tet2-mediated CH can accelerate age-related cardiomyopathy. In mice receiving Tet2-deficient HSPC, contractile dysfunction could be observed as early as 8 months after BMT through non-invasive echocardiography. At the 18-month termination of the experiment, systolic dysfunction, left ventricular hypertrophy, and fibrosis were observed to a significantly greater extent in the mice receiving Tet2-deficient vs. wild-type bone marrow.

Using the non-conditioned BMT model, that mimics the immune cell composition and dynamics in the heart, the study of Wang et al.81 also evaluated how Tet2 deficiency in HSPC affects the immune cell composition of the ageing heart. In this study, the expanding population of bone marrow-derived, Tet2-deficient cells display differential expansion kinetics into various cardiac immune cell populations.81 For example, the degree of Tet2-deficient cell chimaerism in the short-lived neutrophils was essentially the same in blood and cardiac tissue. In contrast, the expansion of Tet2-deficient cells into the cardiac macrophage population was relatively attenuated due in large part to the very slow turnover of the embryo-derived, cardiac macrophage population. In contrast, this adoptive transfer study found higher levels of chimaerism in the macrophage compartments of the kidney and liver, presumably because these tissues display higher levels of turnover by monocyte-derived macrophages.81 Collectively, the adoptive transfer approach represents a relatively benign bone marrow approach that can enable studies of how mutant HSPC expand in the bone marrow and how their progeny leucocytes interact with tissue-resident immune cells in disease processes and during the ageing process. Overall, it appears that the adoptive BMT to non-conditioned mice represents a superior means to model the consequences of CH on the organism.

Finally, while age is a major contributor to the development of CH, the studies of Wang et al.81 and Fuster et al.87 indicate that CH can also impact processes that contribute to biological ageing per se. In both of these adoptive transfer studies, Tet2-mediated HSPC expansion is sufficient to promote age-related cardiac dysfunction and insulin resistance in the absence of external injurious stimuli. In relation to these findings, CH has been associated with age acceleration in humans as assessed by the examination of CpG methylation patterns that represent the ‘epigenetic clock’.127 In this longitudinal study, individuals with any form of driver gene-associated CH displayed ∼4 years of advanced epigenetic age, and individuals with TET2-mediated CH displayed ∼6 years of epigenetic age acceleration. In toto, these data raise the possibility that CH may promote biological ageing and diminishing health span, perhaps by promoting the condition of ‘inflammaging’.128

4. Conclusions and future directions

The past few years have led to an explosion in interest of how CH impacts CVD. Accumulating studies show that individuals with CH exhibit a higher risk of mortality due largely to an increased prevalence of CVD. With the development of novel mouse model systems, investigators have been able to elaborate the mechanistic links between this relatively common haematological condition and disease processes. Collectively, these epidemiological and experimental studies suggest that CH is a new causal risk factor for CVD that may be as consequential as the traditional risk factors that have been known for decades.

Despite substantial advances in our understanding of how CH promotes CVD, many questions remain unanswered. Numerous driver genes are recurrently mutated in individuals with CH, yet relatively few have been evaluated in experimental studies. In this regard, the known CH-driver genes encode proteins with diverse functions that are likely to exert divergent effects in disease processes. Most experimental studies have focused on the TET2, DNMT3A, and JAK2V617F driver genes. However, we know very little about how the haematopoietic and cardiovascular systems are impacted by mutations in the dozens of other, less-studied CH-driver genes. Furthermore, it appears that the known driver genes (that are recurrently mutated in haematologic malignancies) can only account for a relatively small portion of the CH observed in the population,10 and we have little understanding of the mechanistic details associated with these other clonal expansion events. Thus, broader investigative approaches, enabled by advances in experimental models, will be likely required to develop a comprehensive view of the impact of CH on disease processes.

Conflict ofinterest: none declared.

Funding

This work was supported by National Institutes of Health grants HL138014, HL139819, HL141256 and AG072095 to K.W., HL152174 to S.S. and K.W., American Heart Association grant 20POST35210098 to M.A.E., Japan Heart Foundation grant to H.O., and the Chongqing Innovation Support Program for Returned Overseas Scholars cx2020010 to Y.W.

Data availability

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

References

1

Yokoyama
A
,
Kakiuchi
N
,
Yoshizato
T
,
Nannya
Y
,
Suzuki
H
,
Takeuchi
Y
,
Shiozawa
Y
,
Sato
Y
,
Aoki
K
,
Kim
SK
,
Fujii
Y
,
Yoshida
K
,
Kataoka
K
,
Nakagawa
MM
,
Inoue
Y
,
Hirano
T
,
Shiraishi
Y
,
Chiba
K
,
Tanaka
H
,
Sanada
M
,
Nishikawa
Y
,
Amanuma
Y
,
Ohashi
S
,
Aoyama
I
,
Horimatsu
T
,
Miyamoto
S
,
Tsunoda
S
,
Sakai
Y
,
Narahara
M
,
Brown
JB
,
Sato
Y
,
Sawada
G
,
Mimori
K
,
Minamiguchi
S
,
Haga
H
,
Seno
H
,
Miyano
S
,
Makishima
H
,
Muto
M
,
Ogawa
S.
 
Age-related remodelling of oesophageal epithelia by mutated cancer drivers
.
Nature
 
2019
;
565
:
312
317
.

2

Sano
S
,
Wang
Y
,
Walsh
K.
 
Somatic mosaicism: implications for the cardiovascular system
.
Eur Heart J
 
2020
;
41
:
2904
2907
.

3

Martincorena
I
,
Roshan
A
,
Gerstung
M
,
Ellis
P
,
Van Loo
P
,
McLaren
S
,
Wedge
DC
,
Fullam
A
,
Alexandrov
LB
,
Tubio
JM
,
Stebbings
L
,
Menzies
A
,
Widaa
S
,
Stratton
MR
,
Jones
PH
,
Campbell
PJ.
 
Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin
.
Science
 
2015
;
348
:
880
886
.

4

Welch
JS
,
Ley
TJ
,
Link
DC
,
Miller
CA
,
Larson
DE
,
Koboldt
DC
,
Wartman
LD
,
Lamprecht
TL
,
Liu
F
,
Xia
J
,
Kandoth
C
,
Fulton
RS
,
McLellan
MD
,
Dooling
DJ
,
Wallis
JW
,
Chen
K
,
Harris
CC
,
Schmidt
HK
,
Kalicki-Veizer
JM
,
Lu
C
,
Zhang
Q
,
Lin
L
,
O'Laughlin
MD
,
McMichael
JF
,
Delehaunty
KD
,
Fulton
LA
,
Magrini
VJ
,
McGrath
SD
,
Demeter
RT
,
Vickery
TL
,
Hundal
J
,
Cook
LL
,
Swift
GW
,
Reed
JP
,
Alldredge
PA
,
Wylie
TN
,
Walker
JR
,
Watson
MA
,
Heath
SE
,
Shannon
WD
,
Varghese
N
,
Nagarajan
R
,
Payton
JE
,
Baty
JD
,
Kulkarni
S
,
Klco
JM
,
Tomasson
MH
,
Westervelt
P
,
Walter
MJ
,
Graubert
TA
,
DiPersio
JF
,
Ding
L
,
Mardis
ER
,
Wilson
RK.
 
The origin and evolution of mutations in acute myeloid leukemia
.
Cell
 
2012
;
150
:
264
278
.

5

Jaiswal
S
,
Fontanillas
P
,
Flannick
J
,
Manning
A
,
Grauman
PV
,
Mar
BG
,
Lindsley
RC
,
Mermel
CH
,
Burtt
N
,
Chavez
A
,
Higgins
JM
,
Moltchanov
V
,
Kuo
FC
,
Kluk
MJ
,
Henderson
B
,
Kinnunen
L
,
Koistinen
HA
,
Ladenvall
C
,
Getz
G
,
Correa
A
,
Banahan
BF
,
Gabriel
S
,
Kathiresan
S
,
Stringham
HM
,
McCarthy
MI
,
Boehnke
M
,
Tuomilehto
J
,
Haiman
C
,
Groop
L
,
Atzmon
G
,
Wilson
JG
,
Neuberg
D
,
Altshuler
D
,
Ebert
BL.
 
Age-related clonal hematopoiesis associated with adverse outcomes
.
N Engl J Med
 
2014
;
371
:
2488
2498
.

6

Genovese
G
,
Kahler
AK
,
Handsaker
RE
,
Lindberg
J
,
Rose
SA
,
Bakhoum
SF
,
Chambert
K
,
Mick
E
,
Neale
BM
,
Fromer
M
,
Purcell
SM
,
Svantesson
O
,
Landen
M
,
Hoglund
M
,
Lehmann
S
,
Gabriel
SB
,
Moran
JL
,
Lander
ES
,
Sullivan
PF
,
Sklar
P
,
Gronberg
H
,
Hultman
CM
,
McCarroll
SA.
 
Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
.
N Engl J Med
 
2014
;
371
:
2477
2487
.

7

Gale
RE
,
Fielding
AK
,
Harrison
CN
,
Linch
DC.
 
Acquired skewing of X-chromosome inactivation patterns in myeloid cells of the elderly suggests stochastic clonal loss with age
.
Br J Haematol
 
1997
;
98
:
512
519
.

8

Busque
L
,
Mio
R
,
Mattioli
J
,
Brais
E
,
Blais
N
,
Lalonde
Y
,
Maragh
M
,
Gilliland
DG.
 
Nonrandom X-inactivation patterns in normal females: lyonization ratios vary with age
.
Blood
 
1996
;
88
:
59
65
.

9

Busque
L
,
Patel
JP
,
Figueroa
ME
,
Vasanthakumar
A
,
Provost
S
,
Hamilou
Z
,
Mollica
L
,
Li
J
,
Viale
A
,
Heguy
A
,
Hassimi
M
,
Socci
N
,
Bhatt
PK
,
Gonen
M
,
Mason
CE
,
Melnick
A
,
Godley
LA
,
Brennan
CW
,
Abdel-Wahab
O
,
Levine
RL.
 
Recurrent somatic TET2 mutations in normal elderly individuals with clonal hematopoiesis
.
Nat Genet
 
2012
;
44
:
1179
1181
.

10

Zink
F
,
Stacey
SN
,
Norddahl
GL
,
Frigge
ML
,
Magnusson
OT
,
Jonsdottir
I
,
Thorgeirsson
TE
,
Sigurdsson
A
,
Gudjonsson
SA
,
Gudmundsson
J
,
Jonasson
JG
,
Tryggvadottir
L
,
Jonsson
T
,
Helgason
A
,
Gylfason
A
,
Sulem
P
,
Rafnar
T
,
Thorsteinsdottir
U
,
Gudbjartsson
DF
,
Masson
G
,
Kong
A
,
Stefansson
K.
 
Clonal hematopoiesis, with and without candidate driver mutations, is common in the elderly
.
Blood
 
2017
;
130
:
742
752
.

11

Jacobs
KB
,
Yeager
M
,
Zhou
W
,
Wacholder
S
,
Wang
Z
,
Rodriguez-Santiago
B
,
Hutchinson
A
,
Deng
X
,
Liu
C
,
Horner
M-J
,
Cullen
M
,
Epstein
CG
,
Burdett
L
,
Dean
MC
,
Chatterjee
N
,
Sampson
J
,
Chung
CC
,
Kovaks
J
,
Gapstur
SM
,
Stevens
VL
,
Teras
LT
,
Gaudet
MM
,
Albanes
D
,
Weinstein
SJ
,
Virtamo
J
,
Taylor
PR
,
Freedman
ND
,
Abnet
CC
,
Goldstein
AM
,
Hu
N
,
Yu
K
,
Yuan
J-M
,
Liao
L
,
Ding
T
,
Qiao
Y-L
,
Gao
Y-T
,
Koh
W-P
,
Xiang
Y-B
,
Tang
Z-Z
,
Fan
J-H
,
Aldrich
MC
,
Amos
C
,
Blot
WJ
,
Bock
CH
,
Gillanders
EM
,
Harris
CC
,
Haiman
CA
,
Henderson
BE
,
Kolonel
LN
,
Le Marchand
L
,
McNeill
LH
,
Rybicki
BA
,
Schwartz
AG
,
Signorello
LB
,
Spitz
MR
,
Wiencke
JK
,
Wrensch
M
,
Wu
X
,
Zanetti
KA
,
Ziegler
RG
,
Figueroa
JD
,
Garcia-Closas
M
,
Malats
N
,
Marenne
G
,
Prokunina-Olsson
L
,
Baris
D
,
Schwenn
M
,
Johnson
A
,
Landi
MT
,
Goldin
L
,
Consonni
D
,
Bertazzi
PA
,
Rotunno
M
,
Rajaraman
P
,
Andersson
U
,
Beane Freeman
LE
,
Berg
CD
,
Buring
JE
,
Butler
MA
,
Carreon
T
,
Feychting
M
,
Ahlbom
A
,
Gaziano
JM
,
Giles
GG
,
Hallmans
G
,
Hankinson
SE
,
Hartge
P
,
Henriksson
R
,
Inskip
PD
,
Johansen
C
,
Landgren
A
,
McKean-Cowdin
R
,
Michaud
DS
,
Melin
BS
,
Peters
U
,
Ruder
AM
,
Sesso
HD
,
Severi
G
,
Shu
X-O
,
Visvanathan
K
,
White
E
,
Wolk
A
,
Zeleniuch-Jacquotte
A
,
Zheng
W
,
Silverman
DT
,
Kogevinas
M
,
Gonzalez
JR
,
Villa
O
,
Li
D
,
Duell
EJ
,
Risch
HA
,
Olson
SH
,
Kooperberg
C
,
Wolpin
BM
,
Jiao
L
,
Hassan
M
,
Wheeler
W
,
Arslan
AA
,
Bueno-de-Mesquita
HB
,
Fuchs
CS
,
Gallinger
S
,
Gross
MD
,
Holly
EA
,
Klein
AP
,
LaCroix
A
,
Mandelson
MT
,
Petersen
G
,
Boutron-Ruault
M-C
,
Bracci
PM
,
Canzian
F
,
Chang
K
,
Cotterchio
M
,
Giovannucci
EL
,
Goggins
M
,
Hoffman Bolton
JA
,
Jenab
M
,
Khaw
K-T
,
Krogh
V
,
Kurtz
RC
,
McWilliams
RR
,
Mendelsohn
JB
,
Rabe
KG
,
Riboli
E
,
Tjønneland
A
,
Tobias
GS
,
Trichopoulos
D
,
Elena
JW
,
Yu
H
,
Amundadottir
L
,
Stolzenberg-Solomon
RZ
,
Kraft
P
,
Schumacher
F
,
Stram
D
,
Savage
SA
,
Mirabello
L
,
Andrulis
IL
,
Wunder
JS
,
Patiño García
A
,
Sierrasesúmaga
L
,
Barkauskas
DA
,
Gorlick
RG
,
Purdue
M
,
Chow
W-H
,
Moore
LE
,
Schwartz
KL
,
Davis
FG
,
Hsing
AW
,
Berndt
SI
,
Black
A
,
Wentzensen
N
,
Brinton
LA
,
Lissowska
J
,
Peplonska
B
,
McGlynn
KA
,
Cook
MB
,
Graubard
BI
,
Kratz
CP
,
Greene
MH
,
Erickson
RL
,
Hunter
DJ
,
Thomas
G
,
Hoover
RN
,
Real
FX
,
Fraumeni
JF
,
Caporaso
NE
,
Tucker
M
,
Rothman
N
,
Pérez-Jurado
LA
,
Chanock
SJ.
 
Detectable clonal mosaicism and its relationship to aging and cancer
.
Nat Genet
 
2012
;
44
:
651
658
.

12

Laurie
CC
,
Laurie
CA
,
Rice
K
,
Doheny
KF
,
Zelnick
LR
,
McHugh
CP
,
Ling
H
,
Hetrick
KN
,
Pugh
EW
,
Amos
C
,
Wei
Q
,
Wang
LE
,
Lee
JE
,
Barnes
KC
,
Hansel
NN
,
Mathias
R
,
Daley
D
,
Beaty
TH
,
Scott
AF
,
Ruczinski
I
,
Scharpf
RB
,
Bierut
LJ
,
Hartz
SM
,
Landi
MT
,
Freedman
ND
,
Goldin
LR
,
Ginsburg
D
,
Li
J
,
Desch
KC
,
Strom
SS
,
Blot
WJ
,
Signorello
LB
,
Ingles
SA
,
Chanock
SJ
,
Berndt
SI
,
Le Marchand
L
,
Henderson
BE
,
Monroe
KR
,
Heit
JA
,
de Andrade
M
,
Armasu
SM
,
Regnier
C
,
Lowe
WL
,
Hayes
MG
,
Marazita
ML
,
Feingold
E
,
Murray
JC
,
Melbye
M
,
Feenstra
B
,
Kang
JH
,
Wiggs
JL
,
Jarvik
GP
,
McDavid
AN
,
Seshan
VE
,
Mirel
DB
,
Crenshaw
A
,
Sharopova
N
,
Wise
A
,
Shen
J
,
Crosslin
DR
,
Levine
DM
,
Zheng
X
,
Udren
JI
,
Bennett
S
,
Nelson
SC
,
Gogarten
SM
,
Conomos
MP
,
Heagerty
P
,
Manolio
T
,
Pasquale
LR
,
Haiman
CA
,
Caporaso
N
,
Weir
BS.
 
Detectable clonal mosaicism from birth to old age and its relationship to cancer
.
Nat Genet
 
2012
;
44
:
642
650
.

13

Terao
C
,
Suzuki
A
,
Momozawa
Y
,
Akiyama
M
,
Ishigaki
K
,
Yamamoto
K
,
Matsuda
K
,
Murakami
Y
,
McCarroll
SA
,
Kubo
M
,
Loh
PR
,
Kamatani
Y.
 
Chromosomal alterations among age-related haematopoietic clones in Japan
.
Nature
 
2020
;
584
:
130
135
.

14

Loh
PR
,
Genovese
G
,
McCarroll
SA.
 
Monogenic and polygenic inheritance become instruments for clonal selection
.
Nature
 
2020
;
584
:
136
141
.

15

Loh
PR
,
Genovese
G
,
Handsaker
RE
,
Finucane
HK
,
Reshef
YA
,
Palamara
PF
,
Birmann
BM
,
Talkowski
ME
,
Bakhoum
SF
,
McCarroll
SA
,
Price
AL.
 
Insights into clonal haematopoiesis from 8,342 mosaic chromosomal alterations
.
Nature
 
2018
;
559
:
350
355
.

16

Young
AL
,
Challen
GA
,
Birmann
BM
,
Druley
TE.
 
Clonal haematopoiesis harbouring AML-associated mutations is ubiquitous in healthy adults
.
Nat Commun
 
2016
;
7
:
12484
.

17

Watson
CJ
,
Papula
AL
,
Poon
GYP
,
Wong
WH
,
Young
AL
,
Druley
TE
,
Fisher
DS
,
Blundell
JR.
 
The evolutionary dynamics and fitness landscape of clonal hematopoiesis
.
Science
 
2020
;
367
:
1449
1454
.

18

Jaiswal
S
,
Natarajan
P
,
Silver
AJ
,
Gibson
CJ
,
Bick
AG
,
Shvartz
E
,
McConkey
M
,
Gupta
N
,
Gabriel
S
,
Ardissino
D
,
Baber
U
,
Mehran
R
,
Fuster
V
,
Danesh
J
,
Frossard
P
,
Saleheen
D
,
Melander
O
,
Sukhova
GK
,
Neuberg
D
,
Libby
P
,
Kathiresan
S
,
Ebert
BL.
 
Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease
.
N Engl J Med
 
2017
;
377
:
111
121
.

19

Bick
AG
,
Pirruccello
JP
,
Griffin
GK
,
Gupta
N
,
Gabriel
S
,
Saleheen
D
,
Libby
P
,
Kathiresan
S
,
Natarajan
P.
 
Genetic interleukin 6 signaling deficiency attenuates cardiovascular risk in clonal hematopoiesis
.
Circulation
 
2020
;
141
:
124
131
.

20

Svensson
EC
,
Madar
A
,
Campbell
CD
,
He
Y
,
Sultan
M
,
Healey
ML
,
D’Aco
K
,
Fernandez
A
,
Wache-Mainier
C
,
Ridker
PM
,
Beste
MT
,
Basson
CT.
 
Abstract 15111: TET2-driven clonal hematopoiesis predicts enhanced response to canakinumab in the CANTOS trial: an exploratory analysis
.
Circulation
 
2018
;
138
:
A15111
.

21

Honigberg
MC
,
Zekavat
SM
,
Niroula
A
,
Griffin
GK
,
Bick
AG
,
Pirruccello
JP
,
Nakao
T
,
Whitsel
EA
,
Farland
LV
,
Laurie
C
,
Kooperberg
C
,
Manson
JE
,
Gabriel
S
,
Libby
P
,
Reiner
AP
,
Ebert
BL
,
Program
N-O
,
Natarajan
P
; NHLBI Trans-Omics for Precision Medicine Program.
Premature menopause, clonal hematopoiesis, and coronary artery disease in postmenopausal women
.
Circulation
 
2021
;
143
:
410
423
.

22

Dorsheimer
L
,
Assmus
B
,
Rasper
T
,
Ortmann
CA
,
Ecke
A
,
Abou-El-Ardat
K
,
Schmid
T
,
Brune
B
,
Wagner
S
,
Serve
H
,
Hoffmann
J
,
Seeger
F
,
Dimmeler
S
,
Zeiher
AM
,
Rieger
MA.
 
Association of mutations contributing to clonal hematopoiesis with prognosis in chronic ischemic heart failure
.
JAMA Cardiol
 
2019
;
4
:
25
33
.

23

Assmus
B
,
Cremer
S
,
Kirschbaum
K
,
Culmann
D
,
Kiefer
K
,
Dorsheimer
L
,
Rasper
T
,
Abou-El-Ardat
K
,
Herrmann
E
,
Berkowitsch
A
,
Hoffmann
J
,
Seeger
F
,
Mas-Peiro
S
,
Rieger
MA
,
Dimmeler
S
,
Zeiher
AM.
 
Clonal haematopoiesis in chronic ischaemic heart failure: prognostic role of clone size for DNMT3A- and TET2-driver gene mutations
.
Eur Heart J
 
2021
;
42
:
257
265
.

24

Pascual-Figal
DA
,
Bayes-Genis
A
,
Díez-Díez
M
,
Hernández-Vicente
Á
,
Vázquez-Andrés
D
,
de la Barrera
J
,
Vazquez
E
,
Quintas
A
,
Zuriaga
MA
,
Asensio-López
MC
,
Dopazo
A
,
Sánchez-Cabo
F
,
Fuster
JJ.
 
Clonal hematopoiesis and risk of progression of heart failure with reduced left ventricular ejection fraction
.
J Am Coll Cardiol
 
2021
;
77
:
1747
1759
.

25

Kiefer
KC
,
Cremer
S
,
Pardali
E
,
Assmus
B
,
Abou-El-Ardat
K
,
Kirschbaum
K
,
Dorsheimer
L
,
Rasper
T
,
Berkowitsch
A
,
Serve
H
,
Dimmeler
S
,
Zeiher
AM
,
Rieger
MA.
 
Full spectrum of clonal haematopoiesis-driver mutations in chronic heart failure and their associations with mortality
.
ESC Heart Fail
 
2021
;
8
:
1873
1884
.

26

Cremer
S
,
Kirschbaum
K
,
Berkowitsch
A
,
John
D
,
Kiefer
K
,
Dorsheimer
L
,
Wagner
J
,
Rasper
T
,
Abou-El-Ardat
K
,
Assmus
B
,
Serve
H
,
Rieger
M
,
Dimmeler
S
,
Zeiher
AM.
 
Multiple somatic mutations for clonal hematopoiesis are associated with increased mortality in patients with chronic heart failure
.
Circ Genom Precis Med
 
2020
;
13
:
e003003
.

27

Mas-Peiro
S
,
Hoffmann
J
,
Fichtlscherer
S
,
Dorsheimer
L
,
Rieger
MA
,
Dimmeler
S
,
Vasa-Nicotera
M
,
Zeiher
AM.
 
Clonal haematopoiesis in patients with degenerative aortic valve stenosis undergoing transcatheter aortic valve implantation
.
Eur Heart J
 
2020
;
41
:
933
939
.

28

Wolach
O
,
Sellar
RS
,
Martinod
K
,
Cherpokova
D
,
McConkey
M
,
Chappell
RJ
,
Silver
AJ
,
Adams
D
,
Castellano
CA
,
Schneider
RK
,
Padera
RF
,
DeAngelo
DJ
,
Wadleigh
M
,
Steensma
DP
,
Galinsky
I
,
Stone
RM
,
Genovese
G
,
McCarroll
SA
,
Iliadou
B
,
Hultman
C
,
Neuberg
D
,
Mullally
A
,
Wagner
DD
,
Ebert
BL.
 
Increased neutrophil extracellular trap formation promotes thrombosis in myeloproliferative neoplasms
.
Sci Transl Med
 
2018
;
10
:
eaan8292
.

29

Bolton
KL
,
Ptashkin
RN
,
Gao
T
,
Braunstein
L
,
Devlin
SM
,
Kelly
D
,
Patel
M
,
Berthon
A
,
Syed
A
,
Yabe
M
,
Coombs
CC
,
Caltabellotta
NM
,
Walsh
M
,
Offit
K
,
Stadler
Z
,
Mandelker
D
,
Schulman
J
,
Patel
A
,
Philip
J
,
Bernard
E
,
Gundem
G
,
Ossa
JEA
,
Levine
M
,
Martinez
JSM
,
Farnoud
N
,
Glodzik
D
,
Li
S
,
Robson
ME
,
Lee
C
,
Pharoah
PDP
,
Stopsack
KH
,
Spitzer
B
,
Mantha
S
,
Fagin
J
,
Boucai
L
,
Gibson
CJ
,
Ebert
BL
,
Young
AL
,
Druley
T
,
Takahashi
K
,
Gillis
N
,
Ball
M
,
Padron
E
,
Hyman
DM
,
Baselga
J
,
Norton
L
,
Gardos
S
,
Klimek
VM
,
Scher
H
,
Bajorin
D
,
Paraiso
E
,
Benayed
R
,
Arcila
ME
,
Ladanyi
M
,
Solit
DB
,
Berger
MF
,
Tallman
M
,
Garcia-Closas
M
,
Chatterjee
N
,
Diaz
LA
Jr
,
Levine
RL
,
Morton
LM
,
Zehir
A
,
Papaemmanuil
E.
 
Cancer therapy shapes the fitness landscape of clonal hematopoiesis
.
Nat Genet
 
2020
;
52
:
1219
1226
.

30

Coombs
CC
,
Zehir
A
,
Devlin
SM
,
Kishtagari
A
,
Syed
A
,
Jonsson
P
,
Hyman
DM
,
Solit
DB
,
Robson
ME
,
Baselga
J
,
Arcila
ME
,
Ladanyi
M
,
Tallman
MS
,
Levine
RL
,
Berger
MF.
 
Therapy-related clonal hematopoiesis in patients with non-hematologic cancers is common and associated with adverse clinical outcomes
.
Cell Stem Cell
 
2017
;
21
:
374
382
.

31

Sano
S
,
Wang
Y
,
Ogawa
H
,
Horitani
K
,
Sano
M
,
Polizio Ah Kour
A
,
Yura
Y
,
Doviak
H
,
Walsh
K.
 
TP53-mediated therapy-related clonal hematopoiesis contributes to doxorubicin-induced cardiomyopathy by augmenting a neutrophil-mediated cytotoxic response
.
JCI Insight
 
2021
;6:146076.

32

Buscarlet
M
,
Provost
S
,
Zada
YF
,
Barhdadi
A
,
Bourgoin
V
,
Lepine
G
,
Mollica
L
,
Szuber
N
,
Dube
MP
,
Busque
L.
 
DNMT3A and TET2 dominate clonal hematopoiesis and demonstrate benign phenotypes and different genetic predispositions
.
Blood
 
2017
;
130
:
753
762
.

33

Zhang
CRC
,
Nix
D
,
Gregory
M
,
Ciorba
MA
,
Ostrander
EL
,
Newberry
RD
,
Spencer
DH
,
Challen
GA.
 
Inflammatory cytokines promote clonal hematopoiesis with specific mutations in ulcerative colitis patients
.
Exp Hematol
 
2019
;
80
:
36
41
.

34

Liggett
LA
,
Galbraith
MD
,
Smith
KP
,
Sullivan
KD
,
Granrath
RE
,
Enriquez-Estrada
B
,
Kinning
KT
,
Shaw
JR
,
Rachubinski
AL
,
Espinosa
JM
,
DeGregori
J.
 
Precocious clonal hematopoiesis in Down syndrome is accompanied by immune dysregulation
.
Blood Adv
 
2021
;
5
:
1791
1796
.

35

Potus
F
,
Pauciulo
MW
,
Cook
EK
,
Zhu
N
,
Hsieh
A
,
Welch
CL
,
Shen
Y
,
Tian
L
,
Lima
P
,
Mewburn
J
,
D’Arsigny
CL
,
Lutz
KA
,
Coleman
AW
,
Damico
R
,
Snetsinger
B
,
Martin
AY
,
Hassoun
PM
,
Nichols
WC
,
Chung
WK
,
Rauh
MJ
,
Archer
SL.
 
Novel mutations and decreased expression of the epigenetic regulator TET2 in pulmonary arterial hypertension
.
Circulation
 
2020
;
141
:
1986
2000
.

36

Challen
GA
,
Sun
D
,
Jeong
M
,
Luo
M
,
Jelinek
J
,
Berg
JS
,
Bock
C
,
Vasanthakumar
A
,
Gu
H
,
Xi
Y
,
Liang
S
,
Lu
Y
,
Darlington
GJ
,
Meissner
A
,
Issa
JP
,
Godley
LA
,
Li
W
,
Goodell
MA.
 
Dnmt3a is essential for hematopoietic stem cell differentiation
.
Nat Genet
 
2011
;
44
:
23
31
.

37

Loberg
MA
,
Bell
RK
,
Goodwin
LO
,
Eudy
E
,
Miles
LA
,
SanMiguel
JM
,
Young
K
,
Bergstrom
DE
,
Levine
RL
,
Schneider
RK
,
Trowbridge
JJ.
 
Sequentially inducible mouse models reveal that Npm1 mutation causes malignant transformation of Dnmt3a-mutant clonal hematopoiesis
.
Leukemia
 
2019
;
33
:
1635
1649
.

38

Kim
SJ
,
Zhao
H
,
Hardikar
S
,
Singh
AK
,
Goodell
MA
,
Chen
T.
 
A DNMT3A mutation common in AML exhibits dominant-negative effects in murine ES cells
.
Blood
 
2013
;
122
:
4086
4089
.

39

Russler-Germain
DA
,
Spencer
DH
,
Young
MA
,
Lamprecht
TL
,
Miller
CA
,
Fulton
R
,
Meyer
MR
,
Erdmann-Gilmore
P
,
Townsend
RR
,
Wilson
RK
,
Ley
TJ.
 
The R882H DNMT3A mutation associated with AML dominantly inhibits wild-type DNMT3A by blocking its ability to form active tetramers
.
Cancer Cell
 
2014
;
25
:
442
454
.

40

Anteneh
H
,
Fang
J
,
Song
J.
 
Structural basis for impairment of DNA methylation by the DNMT3A R882H mutation
.
Nat Commun
 
2020
;
11
:
2294
.

41

Zhang
ZM
,
Lu
R
,
Wang
P
,
Yu
Y
,
Chen
D
,
Gao
L
,
Liu
S
,
Ji
D
,
Rothbart
SB
,
Wang
Y
,
Wang
GG
,
Song
J.
 
Structural basis for DNMT3A-mediated de novo DNA methylation
.
Nature
 
2018
;
554
:
387
391
.

42

Kohli
RM
,
Zhang
Y.
 
TET enzymes, TDG and the dynamics of DNA demethylation
.
Nature
 
2013
;
502
:
472
479
.

43

Ko
M
,
Huang
Y
,
Jankowska
AM
,
Pape
UJ
,
Tahiliani
M
,
Bandukwala
HS
,
An
J
,
Lamperti
ED
,
Koh
KP
,
Ganetzky
R
,
Liu
XS
,
Aravind
L
,
Agarwal
S
,
Maciejewski
JP
,
Rao
A.
 
Impaired hydroxylation of 5-methylcytosine in myeloid cancers with mutant TET2
.
Nature
 
2010
;
468
:
839
843
.

44

Ko
M
,
Bandukwala
HS
,
An
J
,
Lamperti
ED
,
Thompson
EC
,
Hastie
R
,
Tsangaratou
A
,
Rajewsky
K
,
Koralov
SB
,
Rao
A.
 
Ten-Eleven-Translocation 2 (TET2) negatively regulates homeostasis and differentiation of hematopoietic stem cells in mice
.
Proc Natl Acad Sci USA
 
2011
;
108
:
14566
14571
.

45

Moran-Crusio
K
,
Reavie
L
,
Shih
A
,
Abdel-Wahab
O
,
Ndiaye-Lobry
D
,
Lobry
C
,
Figueroa
ME
,
Vasanthakumar
A
,
Patel
J
,
Zhao
X
,
Perna
F
,
Pandey
S
,
Madzo
J
,
Song
C
,
Dai
Q
,
He
C
,
Ibrahim
S
,
Beran
M
,
Zavadil
J
,
Nimer
SD
,
Melnick
A
,
Godley
LA
,
Aifantis
I
,
Levine
RL.
 
Tet2 loss leads to increased hematopoietic stem cell self-renewal and myeloid transformation
.
Cancer Cell
 
2011
;
20
:
11
24
.

46

Chen
E
,
Mullally
A.
 
How does JAK2V617F contribute to the pathogenesis of myeloproliferative neoplasms?
 
Hematology Am Soc Hematol Educ Program
 
2014
;
2014
:
268
276
.

47

Mullally
A
,
Lane
SW
,
Ball
B
,
Megerdichian
C
,
Okabe
R
,
Al-Shahrour
F
,
Paktinat
M
,
Haydu
JE
,
Housman
E
,
Lord
AM
,
Wernig
G
,
Kharas
MG
,
Mercher
T
,
Kutok
JL
,
Gilliland
DG
,
Ebert
BL.
 
Physiological Jak2V617F expression causes a lethal myeloproliferative neoplasm with differential effects on hematopoietic stem and progenitor cells
.
Cancer Cell
 
2010
;
17
:
584
596
.

48

Petitjean
A
,
Achatz
MI
,
Borresen-Dale
AL
,
Hainaut
P
,
Olivier
M.
 
TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes
.
Oncogene
 
2007
;
26
:
2157
2165
.

49

Sabapathy
K
,
Lane
DP.
 
Therapeutic targeting of p53: all mutants are equal, but some mutants are more equal than others
.
Nat Rev Clin Oncol
 
2018
;
15
:
13
30
.

50

Jacks
T
,
Remington
L
,
Williams
BO
,
Schmitt
EM
,
Halachmi
S
,
Bronson
RT
,
Weinberg
RA.
 
Tumor spectrum analysis in p53-mutant mice
.
Curr Biol
 
1994
;
4
:
1
7
.

51

Boettcher
S
,
Miller
PG
,
Sharma
R
,
McConkey
M
,
Leventhal
M
,
Krivtsov
AV
,
Giacomelli
AO
,
Wong
W
,
Kim
J
,
Chao
S
,
Kurppa
KJ
,
Yang
X
,
Milenkowic
K
,
Piccioni
F
,
Root
DE
,
Rucker
FG
,
Flamand
Y
,
Neuberg
D
,
Lindsley
RC
,
Janne
PA
,
Hahn
WC
,
Jacks
T
,
Dohner
H
,
Armstrong
SA
,
Ebert
BL.
 
A dominant-negative effect drives selection of TP53 missense mutations in myeloid malignancies
.
Science
 
2019
;
365
:
599
604
.

52

Olive
KP
,
Tuveson
DA
,
Ruhe
ZC
,
Yin
B
,
Willis
NA
,
Bronson
RT
,
Crowley
D
,
Jacks
T.
 
Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome
.
Cell
 
2004
;
119
:
847
860
.

53

Kuhn
R
,
Schwenk
F
,
Aguet
M
,
Rajewsky
K.
 
Inducible gene targeting in mice
.
Science
 
1995
;
269
:
1427
1429
.

54

Radtke
F
,
Wilson
A
,
Stark
G
,
Bauer
M
,
van Meerwijk
J
,
MacDonald
HR
,
Aguet
M.
 
Deficient T cell fate specification in mice with an induced inactivation of Notch1
.
Immunity
 
1999
;
10
:
547
558
.

55

Kemp
R
,
Ireland
H
,
Clayton
E
,
Houghton
C
,
Howard
L
,
Winton
DJ.
 
Elimination of background recombination: somatic induction of Cre by combined transcriptional regulation and hormone binding affinity
.
Nucleic Acids Res
 
2004
;
32
:
e92
.

56

Velasco-Hernandez
T
,
Sawen
P
,
Bryder
D
,
Cammenga
J.
 
Potential pitfalls of the Mx1-Cre system: implications for experimental modeling of normal and malignant hematopoiesis
.
Stem Cell Reports
 
2016
;
7
:
11
18
.

57

Croker
BA
,
Metcalf
D
,
Robb
L
,
Wei
W
,
Mifsud
S
,
DiRago
L
,
Cluse
LA
,
Sutherland
KD
,
Hartley
L
,
Williams
E
,
Zhang
JG
,
Hilton
DJ
,
Nicola
NA
,
Alexander
WS
,
Roberts
AW.
 
SOCS3 is a critical physiological negative regulator of G-CSF signaling and emergency granulopoiesis
.
Immunity
 
2004
;
20
:
153
165
.

58

de Boer
J
,
Williams
A
,
Skavdis
G
,
Harker
N
,
Coles
M
,
Tolaini
M
,
Norton
T
,
Williams
K
,
Roderick
K
,
Potocnik
AJ
,
Kioussis
D.
 
Transgenic mice with hematopoietic and lymphoid specific expression of Cre
.
Eur J Immunol
 
2003
;
33
:
314
325
.

59

Georgiades
P
,
Ogilvy
S
,
Duval
H
,
Licence
DR
,
Charnock-Jones
DS
,
Smith
SK
,
Print
CG.
 
VavCre transgenic mice: a tool for mutagenesis in hematopoietic and endothelial lineages
.
Genesis
 
2002
;
34
:
251
256
.

60

Ueda
T
,
Yokota
T
,
Okuzaki
D
,
Uno
Y
,
Mashimo
T
,
Kubota
Y
,
Sudo
T
,
Ishibashi
T
,
Shingai
Y
,
Doi
Y
,
Ozawa
T
,
Nakai
R
,
Tanimura
A
,
Ichii
M
,
Ezoe
S
,
Shibayama
H
,
Oritani
K
,
Kanakura
Y.
 
Endothelial cell-selective adhesion molecule contributes to the development of definitive hematopoiesis in the fetal liver
.
Stem Cell Reports
 
2019
;
13
:
992
1005
.

61

Clausen
BE
,
Burkhardt
C
,
Reith
W
,
Renkawitz
R
,
Forster
I.
 
Conditional gene targeting in macrophages and granulocytes using LysMcre mice
.
Transgenic Res
 
1999
;
8
:
265
277
.

62

Wang
J
,
Hayashi
Y
,
Yokota
A
,
Xu
Z
,
Zhang
Y
,
Huang
R
,
Yan
X
,
Liu
H
,
Ma
L
,
Azam
M
,
Bridges
JP
,
Cancelas
JA
,
Kalfa
TA
,
An
X
,
Xiao
Z
,
Huang
G.
 
Expansion of EPOR-negative macrophages besides erythroblasts by elevated EPOR signaling in erythrocytosis mouse models
.
Haematologica
 
2018
;
103
:
40
50
.

63

Faust
N
,
Varas
F
,
Kelly
LM
,
Heck
S
,
Graf
T.
 
Insertion of enhanced green fluorescent protein into the lysozyme gene creates mice with green fluorescent granulocytes and macrophages
.
Blood
 
2000
;
96
:
719
726
.

64

Ye
M
,
Iwasaki
H
,
Laiosa
CV
,
Stadtfeld
M
,
Xie
H
,
Heck
S
,
Clausen
B
,
Akashi
K
,
Graf
T.
 
Hematopoietic stem cells expressing the myeloid lysozyme gene retain long-term, multilineage repopulation potential
.
Immunity
 
2003
;
19
:
689
699
.

65

Stadtfeld
M
,
Ye
M
,
Graf
T.
 
Identification of interventricular septum precursor cells in the mouse embryo
.
Dev Biol
 
2007
;
302
:
195
207
.

66

McCubbrey
AL
,
Allison
KC
,
Lee-Sherick
AB
,
Jakubzick
CV
,
Janssen
WJ.
 
Promoter specificity and efficacy in conditional and inducible transgenic targeting of lung macrophages
.
Front Immunol
 
2017
;
8
:
1618
.

67

Orthgiess
J
,
Gericke
M
,
Immig
K
,
Schulz
A
,
Hirrlinger
J
,
Bechmann
I
,
Eilers
J.
 
Neurons exhibit Lyz2 promoter activity in vivo: implications for using LysM-Cre mice in myeloid cell research
.
Eur J Immunol
 
2016
;
46
:
1529
1532
.

68

Wang
J
,
Wegener
JE
,
Huang
T-W
,
Sripathy
S
,
De Jesus-Cortes
H
,
Xu
P
,
Tran
S
,
Knobbe
W
,
Leko
V
,
Britt
J
,
Starwalt
R
,
McDaniel
L
,
Ward
CS
,
Parra
D
,
Newcomb
B
,
Lao
U
,
Nourigat
C
,
Flowers
DA
,
Cullen
S
,
Jorstad
NL
,
Yang
Y
,
Glaskova
L
,
Vingeau
S
,
Vigneau
S
,
Kozlitina
J
,
Yetman
MJ
,
Jankowsky
JL
,
Reichardt
SD
,
Reichardt
HM
,
Gärtner
J
,
Bartolomei
MS
,
Fang
M
,
Loeb
K
,
Keene
CD
,
Bernstein
I
,
Goodell
M
,
Brat
DJ
,
Huppke
P
,
Neul
JL
,
Bedalov
A
,
Pieper
AA.
 
Wild-type microglia do not reverse pathology in mouse models of Rett syndrome
.
Nature
 
2015
;
521
:
E1
E4
.

69

Park
E
,
Evans
MA
,
Doviak
H
,
Horitani
K
,
Ogawa
H
,
Yura
Y
,
Wang
Y
,
Sano
S
,
Walsh
K.
 
Bone marrow transplantation procedures in mice to study clonal hematopoiesis
.
J Vis Exp
 
2021
;In press.

70

de Winther
MP
,
Heeringa
P.
 
Bone marrow transplantations to study gene function in hematopoietic cells
.
Methods Mol Biol
 
2011
;
693
:
309
320
.

71

Sano
S
,
Oshima
K
,
Wang
Y
,
MacLauchlan
S
,
Katanasaka
Y
,
Sano
M
,
Zuriaga
MA
,
Yoshiyama
M
,
Goukassian
D
,
Cooper
MA
,
Fuster
JJ
,
Walsh
K.
 
Tet2-mediated clonal hematopoiesis accelerates heart failure through a mechanism involving the IL-1beta/NLRP3 inflammasome
.
J Am Coll Cardiol
 
2018
;
71
:
875
886
.

72

Fuster
JJ
,
MacLauchlan
S
,
Zuriaga
MA
,
Polackal
MN
,
Ostriker
AC
,
Chakraborty
R
,
Wu
CL
,
Sano
S
,
Muralidharan
S
,
Rius
C
,
Vuong
J
,
Jacob
S
,
Muralidhar
V
,
Robertson
AA
,
Cooper
MA
,
Andres
V
,
Hirschi
KK
,
Martin
KA
,
Walsh
K.
 
Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice
.
Science
 
2017
;
355
:
842
847
.

73

Buscarlet
M
,
Provost
S
,
Zada
YF
,
Bourgoin
V
,
Mollica
L
,
Dube
MP
,
Busque
L.
 
Lineage restriction analyses in CHIP indicate myeloid bias for TET2 and multipotent stem cell origin for DNMT3A
.
Blood
 
2018
;
132
:
277
280
.

74

Venkatesulu
BP
,
Mahadevan
LS
,
Aliru
ML
,
Yang
X
,
Bodd
MH
,
Singh
PK
,
Yusuf
SW
,
Abe
JI
,
Krishnan
S.
 
Radiation-induced endothelial vascular injury: a review of possible mechanisms
.
JACC Basic Transl Sci
 
2018
;
3
:
563
572
.

75

Schiller
NK
,
Kubo
N
,
Boisvert
WA
,
Curtiss
LK.
 
Effect of gamma-irradiation and bone marrow transplantation on atherosclerosis in LDL receptor-deficient mice
.
ATVB
 
2001
;
21
:
1674
1680
.

76

Patel
J
,
Douglas
G
,
Kerr
AG
,
Hale
AB
,
Channon
KM.
 
Effect of irradiation and bone marrow transplantation on angiotensin II-induced aortic inflammation in ApoE knockout mice
.
Atherosclerosis
 
2018
;
276
:
74
82
.

77

Ginhoux
F
,
Guilliams
M.
 
Tissue-resident macrophage ontogeny and homeostasis
.
Immunity
 
2016
;
44
:
439
449
.

78

Cronk
JC
,
Filiano
AJ
,
Louveau
A
,
Marin
I
,
Marsh
R
,
Ji
E
,
Goldman
DH
,
Smirnov
I
,
Geraci
N
,
Acton
S
,
Overall
CC
,
Kipnis
J.
 
Peripherally derived macrophages can engraft the brain independent of irradiation and maintain an identity distinct from microglia
.
J Exp Med
 
2018
;
215
:
1627
1647
.

79

Guilliams
M
,
De Kleer
I
,
Henri
S
,
Post
S
,
Vanhoutte
L
,
De Prijck
S
,
Deswarte
K
,
Malissen
B
,
Hammad
H
,
Lambrecht
BN.
 
Alveolar macrophages develop from fetal monocytes that differentiate into long-lived cells in the first week of life via GM-CSF
.
J Exp Med
 
2013
;
210
:
1977
1992
.

80

Epelman
S
,
Lavine
KJ
,
Beaudin
AE
,
Sojka
DK
,
Carrero
JA
,
Calderon
B
,
Brija
T
,
Gautier
EL
,
Ivanov
S
,
Satpathy
AT
,
Schilling
JD
,
Schwendener
R
,
Sergin
I
,
Razani
B
,
Forsberg
EC
,
Yokoyama
WM
,
Unanue
ER
,
Colonna
M
,
Randolph
GJ
,
Mann
DL.
 
Embryonic and adult-derived resident cardiac macrophages are maintained through distinct mechanisms at steady state and during inflammation
.
Immunity
 
2014
;
40
:
91
104
.

81

Wang
Y
,
Sano
S
,
Yura
Y
,
Ke
Z
,
Sano
M
,
Oshima
K
,
Ogawa
H
,
Horitani
K
,
Min
KD
,
Miura-Yura
E
,
Kour
A
,
Evans
MA
,
Zuriaga
MA
,
Hirschi
KK
,
Fuster
JJ
,
Pietras
EM
,
Walsh
K.
 
Tet2-mediated clonal hematopoiesis in nonconditioned mice accelerates age-associated cardiac dysfunction
.
JCI Insight
 
2020
;
5
:
e135204
.

82

Abbuehl
JP
,
Tatarova
Z
,
Held
W
,
Huelsken
J.
 
Long-term engraftment of primary bone marrow stromal cells repairs niche damage and improves hematopoietic stem cell transplantation
.
Cell Stem Cell
 
2017
;
21
:
241
255
.

83

Nilsson
SK
,
Dooner
MS
,
Tiarks
CY
,
Weier
HU
,
Quesenberry
PJ.
 
Potential and distribution of transplanted hematopoietic stem cells in a nonablated mouse model
.
Blood
 
1997
;
89
:
4013
4020
.

84

Bhattacharya
D
,
Czechowicz
A
,
Ooi
AG
,
Rossi
DJ
,
Bryder
D
,
Weissman
IL.
 
Niche recycling through division-independent egress of hematopoietic stem cells
.
J Exp Med
 
2009
;
206
:
2837
2850
.

85

Bhattacharya
D
,
Rossi
DJ
,
Bryder
D
,
Weissman
IL.
 
Purified hematopoietic stem cell engraftment of rare niches corrects severe lymphoid deficiencies without host conditioning
.
J Exp Med
 
2006
;
203
:
73
85
.

86

Czechowicz
A
,
Kraft
D
,
Weissman
IL
,
Bhattacharya
D.
 
Efficient transplantation via antibody-based clearance of hematopoietic stem cell niches
.
Science
 
2007
;
318
:
1296
1299
.

87

Fuster
JJ
,
Zuriaga
MA
,
Zorita
V
,
MacLauchlan
S
,
Polackal
MN
,
Viana-Huete
V
,
Ferrer-Pérez
A
,
Matesanz
N
,
Herrero-Cervera
A
,
Sano
S
,
Cooper
MA
,
González-Navarro
H
,
Walsh
K.
 
TET2-loss-of-function-driven clonal hematopoiesis exacerbates experimental insulin resistance in aging and obesity
.
Cell Rep
 
2020
;
33
:
108326
.

88

Mercier
FE
,
Sykes
DB
,
Scadden
DT.
 
Single targeted exon mutation creates a true congenic mouse for competitive hematopoietic stem cell transplantation: the C57BL/6-CD45.1(STEM) mouse
.
Stem Cell Reports
 
2016
;
6
:
985
992
.

89

Waterstrat
A
,
Liang
Y
,
Swiderski
CF
,
Shelton
BJ
,
Van Zant
G.
 
Congenic interval of CD45/Ly-5 congenic mice contains multiple genes that may influence hematopoietic stem cell engraftment
.
Blood
 
2010
;
115
:
408
417
.

90

Jang
Y
,
Gerbec
ZJ
,
Won
T
,
Choi
B
,
Podsiad
A
,
B Moore
B
,
Malarkannan
S
,
Laouar
Y.
 
Cutting edge: check your mice-a point mutation in the Ncr1 locus identified in CD45.1 congenic mice with consequences in mouse susceptibility to infection
.
J Immunol
 
2018
;
200
:
1982
1987
.

91

Evans
MA
,
Sano
S
,
Walsh
K.
 
Cardiovascular disease, aging, and clonal hematopoiesis
.
Annu Rev Pathol
 
2020
;
15
:
419
438
.

92

Min
KD
,
Kour
A
,
Sano
S
,
Walsh
K.
 
The role of clonal haematopoiesis in cardiovascular diseases: epidemiology and experimental studies
.
J Intern Med
 
2020
;
288
:
507
517
.

93

Jiang
F
,
Doudna
JA.
 
CRISPR-Cas9 structures and mechanisms
.
Annu Rev Biophys
 
2017
;
46
:
505
529
.

94

Heckl
D
,
Kowalczyk
MS
,
Yudovich
D
,
Belizaire
R
,
Puram
RV
,
McConkey
ME
,
Thielke
A
,
Aster
JC
,
Regev
A
,
Ebert
BL.
 
Generation of mouse models of myeloid malignancy with combinatorial genetic lesions using CRISPR-Cas9 genome editing
.
Nat Biotechnol
 
2014
;
32
:
941
946
.

95

Sano
S
,
Oshima
K
,
Wang
Y
,
Katanasaka
Y
,
Sano
M
,
Walsh
K.
 
CRISPR-mediated gene editing to assess the roles of Tet2 and Dnmt3a in clonal hematopoiesis and cardiovascular disease
.
Circ Res
 
2018
;
123
:
335
341
.

96

Sano
S
,
Wang
Y
,
Evans
MA
,
Yura
Y
,
Sano
M
,
Ogawa
H
,
Horitani
K
,
Doviak
H
,
Walsh
K.
 
Lentiviral CRISPR/Cas9-mediated genome editing for the study of hematopoietic cells in disease models
.
J Vis Exp
 
2019
;10.3791/59977.

97

Miles
LA
,
Bowman
RL
,
Merlinsky
TR
,
Csete
IS
,
Ooi
AT
,
Durruthy-Durruthy
R
,
Bowman
M
,
Famulare
C
,
Patel
MA
,
Mendez
P
,
Ainali
C
,
Demaree
B
,
Delley
CL
,
Abate
AR
,
Manivannan
M
,
Sahu
S
,
Goldberg
AD
,
Bolton
KL
,
Zehir
A
,
Rampal
R
,
Carroll
MP
,
Meyer
SE
,
Viny
AD
,
Levine
RL.
 
Single-cell mutation analysis of clonal evolution in myeloid malignancies
.
Nature
 
2020
;
587
:
477
482
.

98

Ogawa
H
,
Sano
S
,
Walsh
K.
 
Employing the CRISPR-Cas system for clonal hematopoiesis research
.
Int J Phys Med Rehabil
 
2020
;
9
:
1
5
.

99

Haapaniemi
E
,
Botla
S
,
Persson
J
,
Schmierer
B
,
Taipale
J.
 
CRISPR-Cas9 genome editing induces a p53-mediated DNA damage response
.
Nat Med
 
2018
;
24
:
927
930
.

100

Enache
OM
,
Rendo
V
,
Abdusamad
M
,
Lam
D
,
Davison
D
,
Pal
S
,
Currimjee
N
,
Hess
J
,
Pantel
S
,
Nag
A
,
Thorner
AR
,
Doench
JG
,
Vazquez
F
,
Beroukhim
R
,
Golub
TR
,
Ben-David
U.
 
Cas9 activates the p53 pathway and selects for p53-inactivating mutations
.
Nat Genet
 
2020
;
52
:
662
668
.

101

Getz
GS
,
Reardon
CA.
 
Diet and murine atherosclerosis
.
Arterioscler Thromb Vasc Biol
 
2006
;
26
:
242
249
.

102

Daugherty
A
,
Tall
AR
,
Daemen
M
,
Falk
E
,
Fisher
EA
,
Garcia-Cardena
G
,
Lusis
AJ
,
Owens
AP
III
,
Rosenfeld
ME
,
Virmani
R
, American Heart Association Council on Arteriosclerosis Thrombosis, Vascular Biology, Council on Basic Cardiovascular Sciences.
Recommendation on design, execution, and reporting of animal atherosclerosis studies: a scientific statement from the American Heart Association
.
Arterioscler Thromb Vasc Biol
 
2017
;
37
:
e131
e157
.

103

Heyde
A
,
Rohde
D
,
McAlpine
CS
,
Zhang
S
,
Hoyer
FF
,
Gerold
JM
,
Cheek
D
,
Iwamoto
Y
,
Schloss
MJ
,
Vandoorne
K
,
Iborra-Egea
O
,
Munoz-Guijosa
C
,
Bayes-Genis
A
,
Reiter
JG
,
Craig
M
,
Swirski
FK
,
Nahrendorf
M
,
Nowak
MA
,
Naxerova
K.
 
Increased stem cell proliferation in atherosclerosis accelerates clonal hematopoiesis
.
Cell
 
2021
;
184
:
1348
1361.e22
.

104

Sano
S
,
Wang
Y
,
Yura
Y
,
Sano
M
,
Oshima
K
,
Yang
Y
,
Katanasaka
Y
,
Min
KD
,
Matsuura
S
,
Ravid
K
,
Mohi
G
,
Walsh
K.
 
JAK2 (V617F) -mediated clonal hematopoiesis accelerates pathological remodeling in murine heart failure
.
JACC Basic Transl Sci
 
2019
;
4
:
684
697
.

105

Sanchez-Cabo
F
,
Fuster
JJ.
 
Clonal haematopoiesis and atherosclerosis: a chicken or egg question?
 
Nat Rev Cardiol
 
2021
;
18
:
463
464
. [Online ahead of print].

106

Wang
W
,
Liu
W
,
Fidler
T
,
Wang
Y
,
Tang
Y
,
Woods
B
,
Welch
C
,
Cai
B
,
Silvestre-Roig
C
,
Ai
D
,
Yang
YG
,
Hidalgo
A
,
Soehnlein
O
,
Tabas
I
,
Levine
RL
,
Tall
AR
,
Wang
N.
 
Macrophage inflammation, erythrophagocytosis, and accelerated atherosclerosis in Jak2 (V617F) mice
.
Circ Res
 
2018
;
123
:
e35
e47
.

107

Liu
DJ
,
Peloso
GM
,
Yu
H
,
Butterworth
AS
,
Wang
X
,
Mahajan
A
,
Saleheen
D
,
Emdin
C
,
Alam
D
,
Alves
AC
,
Amouyel
P
,
Di Angelantonio
E
,
Arveiler
D
,
Assimes
TL
,
Auer
PL
,
Baber
U
,
Ballantyne
CM
,
Bang
LE
,
Benn
M
,
Bis
JC
,
Boehnke
M
,
Boerwinkle
E
,
Bork-Jensen
J
,
Bottinger
EP
,
Brandslund
I
,
Brown
M
,
Busonero
F
,
Caulfield
MJ
,
Chambers
JC
,
Chasman
DI
,
Chen
YE
,
Chen
YI
,
Chowdhury
R
,
Christensen
C
,
Chu
AY
,
Connell
JM
,
Cucca
F
,
Cupples
LA
,
Damrauer
SM
,
Davies
G
,
Deary
IJ
,
Dedoussis
G
,
Denny
JC
,
Dominiczak
A
,
Dube
MP
,
Ebeling
T
,
Eiriksdottir
G
,
Esko
T
,
Farmaki
AE
,
Feitosa
MF
,
Ferrario
M
,
Ferrieres
J
,
Ford
I
,
Fornage
M
,
Franks
PW
,
Frayling
TM
,
Frikke-Schmidt
R
,
Fritsche
LG
,
Frossard
P
,
Fuster
V
,
Ganesh
SK
,
Gao
W
,
Garcia
ME
,
Gieger
C
,
Giulianini
F
,
Goodarzi
MO
,
Grallert
H
,
Grarup
N
,
Groop
L
,
Grove
ML
,
Gudnason
V
,
Hansen
T
,
Harris
TB
,
Hayward
C
,
Hirschhorn
JN
,
Holmen
OL
,
Huffman
J
,
Huo
Y
,
Hveem
K
,
Jabeen
S
,
Jackson
AU
,
Jakobsdottir
J
,
Jarvelin
MR
,
Jensen
GB
,
Jorgensen
ME
,
Jukema
JW
,
Justesen
JM
,
Kamstrup
PR
,
Kanoni
S
,
Karpe
F
,
Kee
F
,
Khera
AV
,
Klarin
D
,
Koistinen
HA
,
Kooner
JS
,
Kooperberg
C
,
Kuulasmaa
K
,
Kuusisto
J
,
Laakso
M
,
Lakka
T
,
Langenberg
C
,
Langsted
A
,
Launer
LJ
,
Lauritzen
T
,
Liewald
DCM
,
Lin
LA
,
Linneberg
A
,
Loos
RJF
,
Lu
Y
,
Lu
X
,
Magi
R
,
Malarstig
A
,
Manichaikul
A
,
Manning
AK
,
Mantyselka
P
,
Marouli
E
,
Masca
NGD
,
Maschio
A
,
Meigs
JB
,
Melander
O
,
Metspalu
A
,
Morris
AP
,
Morrison
AC
,
Mulas
A
,
Muller-Nurasyid
M
,
Munroe
PB
,
Neville
MJ
,
Nielsen
JB
,
Nielsen
SF
,
Nordestgaard
BG
,
Ordovas
JM
,
Mehran
R
,
O'Donnell
CJ
,
Orho-Melander
M
,
Molony
CM
,
Muntendam
P
,
Padmanabhan
S
,
Palmer
CNA
,
Pasko
D
,
Patel
AP
,
Pedersen
O
,
Perola
M
,
Peters
A
,
Pisinger
C
,
Pistis
G
,
Polasek
O
,
Poulter
N
,
Psaty
BM
,
Rader
DJ
,
Rasheed
A
,
Rauramaa
R
,
Reilly
DF
,
Reiner
AP
,
Renstrom
F
,
Rich
SS
,
Ridker
PM
,
Rioux
JD
,
Robertson
NR
,
Roden
DM
,
Rotter
JI
,
Rudan
I
,
Salomaa
V
,
Samani
NJ
,
Sanna
S
,
Sattar
N
,
Schmidt
EM
,
Scott
RA
,
Sever
P
,
Sevilla
RS
,
Shaffer
CM
,
Sim
X
,
Sivapalaratnam
S
,
Small
KS
,
Smith
AV
,
Smith
BH
,
Somayajula
S
,
Southam
L
,
Spector
TD
,
Speliotes
EK
,
Starr
JM
,
Stirrups
KE
,
Stitziel
N
,
Strauch
K
,
Stringham
HM
,
Surendran
P
,
Tada
H
,
Tall
AR
,
Tang
H
,
Tardif
JC
,
Taylor
KD
,
Trompet
S
,
Tsao
PS
,
Tuomilehto
J
,
Tybjaerg-Hansen
A
,
van Zuydam
NR
,
Varbo
A
,
Varga
TV
,
Virtamo
J
,
Waldenberger
M
,
Wang
N
,
Wareham
NJ
,
Warren
HR
,
Weeke
PE
,
Weinstock
J
,
Wessel
J
,
Wilson
JG
,
Wilson
PWF
,
Xu
M
,
Yaghootkar
H
,
Young
R
,
Zeggini
E
,
Zhang
H
,
Zheng
NS
,
Zhang
W
,
Zhang
Y
,
Zhou
W
,
Zhou
Y
,
Zoledziewska
M
,
Charge Diabetes Working
G
,
Consortium
EP-I
,
Consortium
E-C
,
Consortium
G
,
Program
VAMV
,
Howson
JMM
,
Danesh
J
,
McCarthy
MI
,
Cowan
CA
,
Abecasis
G
,
Deloukas
P
,
Musunuru
K
,
Willer
CJ
,
Kathiresan
S
, VA Million Veteran Program.
Exome-wide association study of plasma lipids in >300,000 individuals
.
Nat Genet
 
2017
;
49
:
1758
1766
.

108

Fidler
TP
,
Xue
C
,
Yalcinkaya
M
,
Hardaway
B
,
Abramowicz
S
,
Xiao
T
,
Liu
W
,
Thomas
DG
,
Hajebrahimi
MA
,
Pircher
J
,
Silvestre-Roig
C
,
Kotini
AG
,
Luchsinger
LL
,
Wei
Y
,
Westerterp
M
,
Snoeck
HW
,
Papapetrou
EP
,
Schulz
C
,
Massberg
S
,
Soehnlein
O
,
Ebert
B
,
Levine
RL
,
Reilly
MP
,
Libby
P
,
Wang
N
,
Tall
AR.
 
The AIM2 inflammasome exacerbates atherosclerosis in clonal haematopoiesis
.
Nature
 
2021
;
592
:
296
301
.

109

Hormaechea-Agulla
D
,
Matatall
KA
,
Le
DT
,
Kain
B
,
Long
X
,
Kus
P
,
Jaksik
R
,
Challen
GA
,
Kimmel
M
,
King
KY.
 
Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNgamma signaling
.
Cell Stem Cell
 
2021
;S1934-5909(21)00108-9. [Online ahead of print].

110

Abplanalp
WT
,
Cremer
S
,
John
D
,
Hoffmann
J
,
Schuhmacher
B
,
Merten
M
,
Rieger
MA
,
Vasa-Nicotera
M
,
Zeiher
AM
,
Dimmeler
S.
 
Clonal hematopoiesis-driver DNMT3A mutations alter immune cells in heart failure
.
Circ Res
 
2021
;
128
:
216
228
.

111

Stoltzfus
KC
,
Zhang
Y
,
Sturgeon
K
,
Sinoway
LI
,
Trifiletti
DM
,
Chinchilli
VM
,
Zaorsky
NG.
 
Fatal heart disease among cancer patients
.
Nat Commun
 
2020
;
11
:
2011
.

112

Wong
TN
,
Ramsingh
G
,
Young
AL
,
Miller
CA
,
Touma
W
,
Welch
JS
,
Lamprecht
TL
,
Shen
D
,
Hundal
J
,
Fulton
RS
,
Heath
S
,
Baty
JD
,
Klco
JM
,
Ding
L
,
Mardis
ER
,
Westervelt
P
,
DiPersio
JF
,
Walter
MJ
,
Graubert
TA
,
Ley
TJ
,
Druley
T
,
Link
DC
,
Wilson
RK.
 
Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia
.
Nature
 
2015
;
518
:
552
555
.

113

Hsu
JI
,
Dayaram
T
,
Tovy
A
,
De Braekeleer
E
,
Jeong
M
,
Wang
F
,
Zhang
J
,
Heffernan
TP
,
Gera
S
,
Kovacs
JJ
,
Marszalek
JR
,
Bristow
C
,
Yan
Y
,
Garcia-Manero
G
,
Kantarjian
H
,
Vassiliou
G
,
Futreal
PA
,
Donehower
LA
,
Takahashi
K
,
Goodell
MA.
 
PPM1D mutations drive clonal hematopoiesis in response to cytotoxic chemotherapy
.
Cell Stem Cell
 
2018
;
23
:
700
713.e6
.

114

Kahn
JD
,
Miller
PG
,
Silver
AJ
,
Sellar
RS
,
Bhatt
S
,
Gibson
C
,
McConkey
M
,
Adams
D
,
Mar
B
,
Mertins
P
,
Fereshetian
S
,
Krug
K
,
Zhu
H
,
Letai
A
,
Carr
SA
,
Doench
J
,
Jaiswal
S
,
Ebert
BL.
 
PPM1D-truncating mutations confer resistance to chemotherapy and sensitivity to PPM1D inhibition in hematopoietic cells
.
Blood
 
2018
;
132
:
1095
1105
.

115

Heit
JA.
 
Epidemiology of venous thromboembolism
.
Nat Rev Cardiol
 
2015
;
12
:
464
474
.

116

Diaz
JA
,
Saha
P
,
Cooley
B
,
Palmer
OR
,
Grover
SP
,
Mackman
N
,
Wakefield
TW
,
Henke
PK
,
Smith
A
,
Lal
BK.
 
Choosing a mouse model of venous thrombosis
.
Arterioscler Thromb Vasc Biol
 
2019
;
39
:
311
318
.

117

von Bruhl
ML
,
Stark
K
,
Steinhart
A
,
Chandraratne
S
,
Konrad
I
,
Lorenz
M
,
Khandoga
A
,
Tirniceriu
A
,
Coletti
R
,
Kollnberger
M
,
Byrne
RA
,
Laitinen
I
,
Walch
A
,
Brill
A
,
Pfeiler
S
,
Manukyan
D
,
Braun
S
,
Lange
P
,
Riegger
J
,
Ware
J
,
Eckart
A
,
Haidari
S
,
Rudelius
M
,
Schulz
C
,
Echtler
K
,
Brinkmann
V
,
Schwaiger
M
,
Preissner
KT
,
Wagner
DD
,
Mackman
N
,
Engelmann
B
,
Massberg
S.
 
Monocytes, neutrophils, and platelets cooperate to initiate and propagate venous thrombosis in mice in vivo
.
J Exp Med
 
2012
;
209
:
819
835
.

118

Meng
H
,
Yalavarthi
S
,
Kanthi
Y
,
Mazza
LF
,
Elfline
MA
,
Luke
CE
,
Pinsky
DJ
,
Henke
PK
,
Knight
JS.
 
In vivo role of neutrophil extracellular traps in antiphospholipid antibody-mediated venous thrombosis
.
Arthritis Rheumatol
 
2017
;
69
:
655
667
.

119

Edelmann
B
,
Gupta
N
,
Schnoeder
TM
,
Oelschlegel
AM
,
Shahzad
K
,
Goldschmidt
J
,
Philipsen
L
,
Weinert
S
,
Ghosh
A
,
Saalfeld
FC
,
Nimmagadda
SC
,
Müller
P
,
Braun-Dullaeus
R
,
Mohr
J
,
Wolleschak
D
,
Kliche
S
,
Amthauer
H
,
Heidel
FH
,
Schraven
B
,
Isermann
B
,
Müller
AJ
,
Fischer
T.
 
JAK2-V617F promotes venous thrombosis through beta1/beta2 integrin activation
.
J Clin Invest
 
2018
;
128
:
4359
4371
.

120

Ouchi
N
,
Parker
JL
,
Lugus
JJ
,
Walsh
K.
 
Adipokines in inflammation and metabolic disease
.
Nat Rev Immunol
 
2011
;
11
:
85
97
.

121

Bonnefond
A
,
Skrobek
B
,
Lobbens
S
,
Eury
E
,
Thuillier
D
,
Cauchi
S
,
Lantieri
O
,
Balkau
B
,
Riboli
E
,
Marre
M
,
Charpentier
G
,
Yengo
L
,
Froguel
P.
 
Association between large detectable clonal mosaicism and type 2 diabetes with vascular complications
.
Nat Genet
 
2013
;
45
:
1040
1043
.

122

Ablamunits
V
,
Weisberg
SP
,
Lemieux
JE
,
Combs
TP
,
Klebanov
S.
 
Reduced adiposity in ob/ob mice following total body irradiation and bone marrow transplantation
.
Obesity (Silver Spring)
 
2007
;
15
:
1419
1429
.

123

Katiraei
S
,
Hoving
LR
,
van Beek
L
,
Mohamedhoesein
S
,
Carlotti
F
,
van Diepen
JA
,
Rensen
PCN
,
Netea
MG
,
Willems van Dijk
K
,
Berbée
JFP
,
van Harmelen
V.
 
BMT decreases HFD-induced weight gain associated with decreased preadipocyte number and insulin secretion
.
PLoS One
 
2017
;
12
:
e0175524
.

124

Poglio
S
,
Galvani
S
,
Bour
S
,
Andre
M
,
Prunet-Marcassus
B
,
Penicaud
L
,
Casteilla
L
,
Cousin
B.
 
Adipose tissue sensitivity to radiation exposure
.
Am J Pathol
 
2009
;
174
:
44
53
.

125

Dai
DF
,
Chen
T
,
Johnson
SC
,
Szeto
H
,
Rabinovitch
PS.
 
Cardiac aging: from molecular mechanisms to significance in human health and disease
.
Antioxid Redox Signal
 
2012
;
16
:
1492
1526
.

126

Boyle
AJ
,
Shih
H
,
Hwang
J
,
Ye
J
,
Lee
B
,
Zhang
Y
,
Kwon
D
,
Jun
K
,
Zheng
D
,
Sievers
R
,
Angeli
F
,
Yeghiazarians
Y
,
Lee
R.
 
Cardiomyopathy of aging in the mammalian heart is characterized by myocardial hypertrophy, fibrosis and a predisposition towards cardiomyocyte apoptosis and autophagy
.
Exp Gerontol
 
2011
;
46
:
549
559
.

127

Robertson
NA
,
Hillary
RF
,
McCartney
DL
,
Terradas-Terradas
M
,
Higham
J
,
Sproul
D
,
Deary
IJ
,
Kirschner
K
,
Marioni
RE
,
Chandra
T.
 
Age-related clonal haemopoiesis is associated with increased epigenetic age
.
Curr Biol
 
2019
;
29
:
R786
R787
.

128

Campisi
J
,
Kapahi
P
,
Lithgow
GJ
,
Melov
S
,
Newman
JC
,
Verdin
E.
 
From discoveries in ageing research to therapeutics for healthy ageing
.
Nature
 
2019
;
571
:
183
192
.

Author notes

Ying Wang, Soichi Sano and Hayato Ogawa equally contributed to this work.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)