Abstract

Hippocampal sclerosis is a relatively common neuropathological finding (∼10% of individuals over the age of 85 years) characterized by cell loss and gliosis in the hippocampus that is not explained by Alzheimer’s disease. Hippocampal sclerosis pathology can be associated with different underlying causes, and we refer to hippocampal sclerosis in the aged brain as hippocampal sclerosis associated with ageing. Much remains unknown about hippocampal sclerosis associated with ageing. We combined three different large autopsy cohorts: University of Kentucky Alzheimer’s Disease Centre, the Nun Study and the Georgia Centenarian Study to obtain a pool of 1110 patients, all of whom were evaluated neuropathologically at the University of Kentucky. We focused on the subset of cases with neuropathology-confirmed hippocampal sclerosis (n = 106). For individuals aged ≥95 years at death (n = 179 in our sample), each year of life beyond the age of 95 years correlated with increased prevalence of hippocampal sclerosis pathology and decreased prevalence of ‘definite’ Alzheimer’s disease pathology. Aberrant TAR DNA protein 43 immunohistochemistry was seen in 89.9% of hippocampal sclerosis positive patients compared with 9.7% of hippocampal sclerosis negative patients. TAR DNA protein 43 immunohistochemistry can be used to demonstrate that the disease is usually bilateral even when hippocampal sclerosis pathology is not obvious by haematoxylin and eosin stains. TAR DNA protein 43 immunohistochemistry was negative on brain sections from younger individuals (n = 10) after hippocampectomy due to seizures, who had pathologically confirmed hippocampal sclerosis. There was no association between cases with hippocampal sclerosis associated with ageing and apolipoprotein E genotype. Age of death and clinical features of hippocampal sclerosis associated with ageing (with or without aberrant TAR DNA protein 43) were distinct from previously published cases of frontotemporal lobar degeneration TAR DNA protein 43. To help sharpen our ability to discriminate patients with hippocampal sclerosis associated with ageing clinically, the longitudinal cognitive profile of 43 patients with hippocampal sclerosis associated with ageing was compared with the profiles of 75 controls matched for age, gender, education level and apolipoprotein E genotype. These individuals were followed from intake assessment, with 8.2 (average) longitudinal cognitive assessments. A neuropsychological profile with relatively high-verbal fluency but low word list recall distinguished the hippocampal sclerosis associated with ageing group at intake (P < 0.015) and also 5.5–6.5 years before death (P < 0.005). This may provide a first step in clinical differentiation of hippocampal sclerosis associated with ageing versus pure Alzheimer’s disease in their earliest stages. In summary, in the largest series of autopsy-verified patients with hippocampal sclerosis to date, we characterized the clinical and pathological features associated with hippocampal sclerosis associated with ageing.

Introduction

Hippocampal sclerosis refers to neuronal cell loss and astrocytosis in subiculum and cornu ammonis subfields of the hippocampal formation unrelated to Alzheimer’s disease pathology. In contrast to the disease also referred to as ‘hippocampal sclerosis’ that affects younger adults (Thom, 2009), hippocampal sclerosis in older individuals is associated with significant ante-mortem cognitive dysfunction (Corey-Bloom et al., 1997; Nelson et al., 2008) but not with epilepsy. There is no universally applied specific nosology for these cases and we use the term ‘HS-Ageing’ to refer to the disease with hippocampal sclerosis pathology in ageing individuals.

Despite recent progress from many centres, the specific clinical and pathological features related to HS-Ageing have not been definitively characterized. The disease was described decades ago (Clark et al., 1986; Dickson et al., 1994), yet researchers and clinicians only recently recognized the high prevalence of hippocampal sclerosis pathology in aged populations (Chui et al., 2006; Nelson et al., 2008; Zarow et al., 2008). Many brains from older individuals with hippocampal sclerosis pathology also show aberrant hippocampal TAR-DNA binding protein 43 (TDP-43) immunostaining (Amador-Ortiz et al., 2007; Josephs et al., 2008). However, the relationship between HS-Ageing pathogenesis and TDP-43 proteinopathy is still unclear. HS-Ageing and Alzheimer’s disease have overlapping clinical and radiographical features related to hippocampal atrophy, so improved clinical identification of patients with HS-Ageing would enable more specific management of both patients with HS-Ageing and patients with Alzheimer’s disease.

Autopsy is required for diagnosis of HS-Ageing. We hypothesize that prior studies have under-appreciated the importance of HS-Ageing because of the advanced age of affected patients (see below) and the complex neuropathology in that context. Prevalent non-hippocampal sclerosis brain pathologies include Alzheimer’s disease, cerebrovascular disease, α-synucleinopathies, frontotemporal lobar degeneration (FTLD) and neurofibrillary tangles without amyloid plaques (Jellinger and Attems, 2007; Sonnen et al., 2007; Nelson et al., 2009a, b; Schneider et al., 2009). Because of the age-related clinical and neuropathological ‘noise’, three elements are required for a systematic clinical–pathological study of HS-Ageing, namely excellent ante-mortem documentation, detailed neuropathology and adequate statistical power.

Here, we describe analyses based on 1110 individuals including 106 neuropathologically confirmed hippocampal sclerosis cases from three large autopsy series with extensive ante-mortem longitudinal data: the University of Kentucky Alzheimer’s Disease Centre, the Nun Study and the Georgia Centenarian Study. All neuropathological assessments were performed at the University of Kentucky. The goals were to identify clinical features that help distinguish aged individuals with autopsy-proven hippocampal sclerosis pathology, to refine our understanding of hippocampal sclerosis pathogenesis, and to help define HS-Ageing as a distinct disease entity.

Materials and methods

Clinical cohorts and neuropathological assessments

All protocols were performed with institutional review board approval from the respective institutions. Patients who came to autopsy from the UK-Alzheimer’s Disease Centre, Nun Study (Wolf et al., 1999) and Georgia Centenarian Study (Poon et al., 2007) cohorts were the basis for the study. Samples from 10 additional surgical pathological hippocampus resections were also assessed. These latter cases all had radiographical and pathologically confirmed features of mesial temporal/hippocampal sclerosis and clinical histories of intractable epilepsy (Supplementary Table 1).

Details of UK-Alzheimer’s Disease Centre, Nun Study and Georgia Centenarian Study recruitment have been described elsewhere (Poon et al., 1992; Schmitt et al., 2001; Gosche et al., 2002; Riley et al., 2002; Nelson et al., 2007; Hensley et al., 2010). Mental status testing of UK-Alzheimer’s Disease Centre subjects (Schmitt et al., 2000) employed cognitive instruments that included the mini-mental state examination (MMSE; Folstein et al., 1975) and the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropsychological battery (Morris et al., 1989; Welsh et al., 1992). These measures included 1-min verbal category fluency for animal names and the CERAD word list delayed recall task. Similar measures were used in the cognitive assessments in the Nun Study. Evaluating clinicians and study staff had no knowledge regarding the pathology, thus minimizing case selection bias that would have affected main outcome measures in the current study.

Pathological assessments were performed at the University of Kentucky on all the cases, and the methodology has been described in detail (Davis et al., 1999; Wolf et al., 1999; Riley et al., 2002; Nelson et al., 2007, 2009). The neuropathological criterion for hippocampal sclerosis was selective neuronal loss and gliosis of CA1 and the subiculum of the hippocampus (Amador-Ortiz et al., 2007), not readily ascribable to another pathology such as neurofibrillary tangles or localizable infarction. Alzheimer’s disease-positive pathology referred to cases with Braak stage V or VI and with moderate or severely dense neuritic amyloid plaques according to CERAD criteria (Mirra et al., 1991). Patients with an early-onset (younger than 70 years of age) frontotemporal disease syndrome, known FTLD-type tauopathy, or other rare dementia syndrome (prions, trinucleotide repeat diseases) were excluded up-front from both cases and controls; this involved 31 cases including two relatively early-onset cases with hippocampal sclerosis and progressive supranuclear palsy pathologies.

Aberrant TDP-43 immunohistochemistry refers to staining that is cytoplasmic, neuritic or tangle like; TDP-43 is normally localized to the nucleus. Severity of hippocampal TDP-43 pathology was graded on a 0–3 semiquantitative scale that is described in detail in Supplementary Fig. 1. TDP-43 immunostaining was performed as follows: 5-µm-thick sections of paraffin-embedded tissue were placed on Plus-slides. Slides were dried overnight at 40°C. Subsequently, sections were unmasked in citrate buffer (pH 6) and heated in a pressure cooker (3 min). Sections were placed in formic acid for 3 min and then 3% hydrogen–methanol solution (30 min) with rinses in distilled water. Sections were then blocked with 5% goat serum in Tris-buffered saline for 1 h at room temperature and then incubated overnight in a 1:500 dilution of anti-TDP-43 (Proteintech) in Tris-buffered saline at 4°C in a humidity chamber. After thorough rinsing in Tris-buffered saline, sections were incubated in secondary antibody (biotinylated anti-goat IgG) for 1 h. Following additional rinsing in Tris-buffered saline, sections were incubated in ABC reagent from the Vector kit (Vector Labs) for 1 h at room temperature. After rinses in Tris-buffered saline, sections were developed in freshly prepared Vector Nova Red chromagen from the Vector kit and counterstained with Mayer’s haematoxylin.

Statistical methods

Data analyses related to age at death were based on combining data on all subjects who came to autopsy in the three research cohorts. Logistic regression models were used to determine the probability of Alzheimer’s disease (CERAD possible or probable, Braak stage V or VI at autopsy) and the probability of hippocampal sclerosis pathology (regardless of laterality or severity) as a function of age at death.

Detailed longitudinal cognitive assessments were analysed for members of the UK-Alzheimer’s Disease Centre and the Nun Study. A subset of these patients (n = 43 HS-Ageing, n = 75 controls) had been followed longitudinally, beginning with an ‘intake’ examination where they were not severely demented based on MMSE scores (>20). Five cases were impaired at intake with word list delayed recall scores of zero despite higher MMSE scores at intake that subsequently declined; these were included due to our a priori criteria. For all the included cases, we selected up to two controls without hippocampal sclerosis pathology, by matching the cases on age at entry, gender, apolipoprotein E (APOE) ε4 allele status, (non-)dementia status and the number of cognitive assessments. These 118 participants had a total of 966 assessments for an average of 8.2 assessments per participant (ranges 1–17) for MMSE, a total of 945 assessments for an average of 8.0 assessments per participant (ranges 1–16) for word list delayed recall and a total of 961 assessments for an average of 8.1 assessments per participant (ranges 1–17) for verbal fluency.

In modelling the change in scores, the following two characteristics had to be accounted for: (i) between and within subject variability; and (ii) floor and ceiling effects for the scores. The floor score was zero while the ceiling score related to the maximum attainable for each test. To account for (i) and (ii), the non-linear mixed effects regression model of Martins et al. (2005) and Nelson et al. (2009) was fitted to the assessment data. This is the three parameter logistic regression model:  

formula
where Yit represents the score for the ith participant at year t of study. Parameter a is the asymptote, the highest score for an individual subject; parameter b is a scaling effect representing 75% of the asymptote; and parameter c is the midpoint of the curve or 50% of the asymptote. We assume that parameters b and c depend only on the fixed effects, while parameter a depends on both fixed and random effects.

The fixed effects or covariates of interest are APOE allele status (presence/absence of at least one APOE ε4 allele), age at entry (centred at mean of 82.5 years) and their interactions. The random effects (within as well as between) are assumed to follow an independent normal distribution with mean zero and unknown variance. The purpose of the modelling was to determine how each parameter depended on these covariates after accounting for the two sources of variability. Statistical significance for a covariate was determined at the 0.05 level and only significant covariates were retained in the final model. The three parameter logistic models were fitted using PROC NLMIXED. Eventual HS-Ageing pathology and Alzheimer’s disease (‘high likelihood’ with Braak stage V or VI) pathology were the two main factors investigated and the fitted curves were plotted by these two factors. Test scores were modelled starting with the final evaluation and working back for 10 years. This approach was used because starting at ‘baseline’ evaluations and moving forward in time was confounded by variance in the number of years before the advent of cognitive decline.

To assess the ability of verbal fluency and word list delayed recall results to discriminate HS-Ageing, cognitive test results at baseline and 5.6–6.5 years prior to the terminal assessment were compared using a 2 × 2 factorial design analysis of covariance (ANCOVA). The two between-groups factors were HS-Ageing (yes/no) and clinical diagnosis of dementia (yes/no), and covariates included education, presence of at least one APOE ε4 allele, gender, baseline age and an indicator for cohort (Nun Study versus UK-Alzheimer’s disease centre cohort). All statistical analyses were performed using SAS/STAT® 9.2 software.

Results

A total of 106 cases with autopsy-verified HS-Ageing and 1004 controls were included (Table 1). All cases were evaluated bilaterally for hippocampal sclerosis pathology at the UK-Alzheimer’s Disease Centre. Laterality of hippocampal sclerosis in the 106 cases by haematoxylin and eosin stain was 26/106 (24.5%) unilateral left, 16/106 (15.1%) unilateral right and 64/106 (60.4%) bilateral.

Table 1

Cases with hippocampal sclerosis (n = 106) and controls (n = 1004) by Alzheimer’s disease (Braak V/VI) status; mean age and final MMSE scores (±SD)

 Hippocampal sclerosis positive
 
Hippocampal sclerosis negative
 
 Alzheimer’s disease positive n Alzheimer’s disease negative n Alzheimer’s disease positive n Alzheimer’s disease negative n 
UK-Alzheimer’s Disease Centre 
    Age at death 87.2 ± 6.1 24 88.2 ± 8.2 20 81.1 ± 8.4 262 83.0 ± 9.9 259 
    Final MMSE 9.4 ± 8.1 23 19.6 ± 8.6 16 11.7 ± 9.0 225 24.6 ± 7.5 245 
Nun Study 
    Age at death 93.1 ± 4.6 22 93.7 ± 5.8 31 91.5 ± 4.3 90 89.5 ± 5.4 351 
    Final MMSE 6.1 ± 6.8 22 11.9 ± 9.2 31 10.1 ± 10.3 90 21.0 ± 8.9 351 
Georgia Centenarians 
    Age at death 102.7 ± 2.7 101.4 ± 2.7 102.0 ± 2.7 13 102.3 ± 2.4 29 
    Final MMSE 0.0 ± 0.0 14.2 ± 7.8 8.2 ± 7.6 12 18.3 ± 7.7 29 
All groups 
    Age at death 91.1 ± 6.9 50 92.4 ± 7.5 56 84.4 ± 9.3 365 87.4 ± 8.8 639 
    Final MMSE 7.2 ± 7.6 49 14.5 ± 9.4 52 11.1 ± 9.4 325 22.3 ± 8.6 625 
    Total (n106    1004    
 Hippocampal sclerosis positive
 
Hippocampal sclerosis negative
 
 Alzheimer’s disease positive n Alzheimer’s disease negative n Alzheimer’s disease positive n Alzheimer’s disease negative n 
UK-Alzheimer’s Disease Centre 
    Age at death 87.2 ± 6.1 24 88.2 ± 8.2 20 81.1 ± 8.4 262 83.0 ± 9.9 259 
    Final MMSE 9.4 ± 8.1 23 19.6 ± 8.6 16 11.7 ± 9.0 225 24.6 ± 7.5 245 
Nun Study 
    Age at death 93.1 ± 4.6 22 93.7 ± 5.8 31 91.5 ± 4.3 90 89.5 ± 5.4 351 
    Final MMSE 6.1 ± 6.8 22 11.9 ± 9.2 31 10.1 ± 10.3 90 21.0 ± 8.9 351 
Georgia Centenarians 
    Age at death 102.7 ± 2.7 101.4 ± 2.7 102.0 ± 2.7 13 102.3 ± 2.4 29 
    Final MMSE 0.0 ± 0.0 14.2 ± 7.8 8.2 ± 7.6 12 18.3 ± 7.7 29 
All groups 
    Age at death 91.1 ± 6.9 50 92.4 ± 7.5 56 84.4 ± 9.3 365 87.4 ± 8.8 639 
    Final MMSE 7.2 ± 7.6 49 14.5 ± 9.4 52 11.1 ± 9.4 325 22.3 ± 8.6 625 
    Total (n106    1004    

Individuals with hippocampal sclerosis pathology tended to be older than those without hippocampal sclerosis pathology. Whereas the percentage of individuals with hippocampal sclerosis pathology increased progressively with age of death, the percentage of individuals with Braak stage V or VI neurofibrillary pathology and Alzheimer’s disease-type neuritic plaques tapered off after the age of 95 years (Fig. 1). APOE status was independent of risk for hippocampal sclerosis pathology (Supplementary Table 2). In contrast, APOE ε4 carriers among patients with Alzheimer’s disease were over-represented and APOE ε2 carriers were under-represented, as expected (Supplementary Table 2).

Figure 1

Estimated probability of a pathologically confirmed ‘definite’ Alzheimer’s disease (black curve) and the probability of a hippocampal sclerosis pathology (red curve; n = 106) as a function of age at death. ‘Definite’ Alzheimer’s disease cases (n = 286) had moderate or high densities of neuritic amyloid plaques and Braak stage V or VI. Note that after the age of 95 years, the probability for Alzheimer’s disease-type pathological diagnosis begins to decline but the probability for pathologically confirmed hippocampal sclerosis increases dramatically.

Figure 1

Estimated probability of a pathologically confirmed ‘definite’ Alzheimer’s disease (black curve) and the probability of a hippocampal sclerosis pathology (red curve; n = 106) as a function of age at death. ‘Definite’ Alzheimer’s disease cases (n = 286) had moderate or high densities of neuritic amyloid plaques and Braak stage V or VI. Note that after the age of 95 years, the probability for Alzheimer’s disease-type pathological diagnosis begins to decline but the probability for pathologically confirmed hippocampal sclerosis increases dramatically.

Correlations with TAR DNA binding protein 43 immunohistochemistry

At least two disease processes have been linked with hippocampal sclerosis pathology in later life: aberrant TDP-43 inclusions and vascular insufficiency (Lippa and Dickson, 2004; Attems and Jellinger, 2006; Amador-Ortiz et al., 2007; Probst et al., 2007; Zarow et al., 2008; Thom, 2009). We queried how these factors were associated with hippocampal sclerosis pathology. A convenience sample of 306 cases was evaluated using TDP-43 immunohistochemistry, 79 with hippocampal sclerosis and 227 without hippocampal sclerosis (Table 2). Immunostained slides were read blindly with regard to the histopathological diagnoses (Fig. 2). In all three cohorts sampled, the presence of aberrant TDP-43 was considerably more frequent in hippocampal sclerosis positives than hippocampal sclerosis negatives [estimated odds ratio (OR) 83.5, 95% confidence interval (95% CI) 35.6–195.9]. The distribution of the scored severity of TDP-43 pathology indicated that a range of aberrant TDP-43 changes can be seen in HS-Ageing (Supplementary Fig. 2). In contrast, in surgical pathology cases where sclerotic hippocampi were resected to treat chronic seizures (n = 10; average age 36.8 years), every case without exception was negative for aberrant TDP-43 (Fig. 2E and Supplementary Table 1).

Figure 2

Features of HS-Ageing and TDP-43 immunohistochemistry. A 97-year-old female (Case 1) had hippocampal features that, with haematoxylin and eosin staining, met criteria for hippocampal sclerosis on the right (A) but not the left (B) side. Green arrows show CA1, blue arrows show subiculum. Immunohistochemistry for TDP-43 showed clear evidence of aberrant TDP-43 on the left side (C), confirming that the process was bilateral. Case 2 (D) is an 88-year-old male with bilateral hippocampal sclerosis pathology but not Alzheimer’s disease or cerebrovascular disease, without aberrant TDP-43 staining. Shown here is the normal pattern of TDP-43 staining in neurons in the CA1 field of the hippocampus. Case 3 (E) is from a 34-year-old female with history of seizures and right mesial temporal sclerosis. Shown is a portion of the dentate granule cells, which like the rest of the hippocampectomy specimen (and all the other hippocampal sclerosis–seizures cases) showed no evidence of aberrant TDP-43 in cytoplasm or neurites. Case 4 (F) is from a 97-year-old APOE 3/3 male with Alzheimer’s disease and bilateral hippocampal sclerosis. Shown is a representative high-power field from frontal lobe (Brodmann area 9), with sparse aberrant TDP-43 immunohistochemistry including an intraneuronal inclusion (arrow) and a few scattered neurites (smaller arrows). Four of 14 stained frontal cortices from cases with HS-Ageing–TDP also showed scattered immunopositivity in frontal cortex. Scale bars = 1 mm (A, B and F), 50 microns (C–E). HS = hippocampal sclerosis.

Figure 2

Features of HS-Ageing and TDP-43 immunohistochemistry. A 97-year-old female (Case 1) had hippocampal features that, with haematoxylin and eosin staining, met criteria for hippocampal sclerosis on the right (A) but not the left (B) side. Green arrows show CA1, blue arrows show subiculum. Immunohistochemistry for TDP-43 showed clear evidence of aberrant TDP-43 on the left side (C), confirming that the process was bilateral. Case 2 (D) is an 88-year-old male with bilateral hippocampal sclerosis pathology but not Alzheimer’s disease or cerebrovascular disease, without aberrant TDP-43 staining. Shown here is the normal pattern of TDP-43 staining in neurons in the CA1 field of the hippocampus. Case 3 (E) is from a 34-year-old female with history of seizures and right mesial temporal sclerosis. Shown is a portion of the dentate granule cells, which like the rest of the hippocampectomy specimen (and all the other hippocampal sclerosis–seizures cases) showed no evidence of aberrant TDP-43 in cytoplasm or neurites. Case 4 (F) is from a 97-year-old APOE 3/3 male with Alzheimer’s disease and bilateral hippocampal sclerosis. Shown is a representative high-power field from frontal lobe (Brodmann area 9), with sparse aberrant TDP-43 immunohistochemistry including an intraneuronal inclusion (arrow) and a few scattered neurites (smaller arrows). Four of 14 stained frontal cortices from cases with HS-Ageing–TDP also showed scattered immunopositivity in frontal cortex. Scale bars = 1 mm (A, B and F), 50 microns (C–E). HS = hippocampal sclerosis.

Table 2

Cases from the UK-Alzheimer’s Disease Centre, Nun Study and Georgia Centenarians: comparison in TDP-43 immunostaining including 79 cases (convenience sample) with hippocampal sclerosis (HS-Ageing) and 227 patients without hippocampal sclerosis (HS-NEG)

Cohort Total stained for TDP-43 (nAverage age at death (years) HS-Ageing evaluated for TDP-43 (n) HS-Ageing with TDP+n (%) HS-NEG evaluated for TDP-43 (N) HS-NEG with TDP+n (%) 
UK-Alzheimer’s Disease Centre 208 84.3 23 15 (65) 185 15 (5) 
Nun Study 48 92.8 48 43 (90)   
Georgia centenarians 50 102.2 8 (100) 42 7 (17) 
Total 306 88.6 79 66 (89.9) 227 22 (9.7) 
Cohort Total stained for TDP-43 (nAverage age at death (years) HS-Ageing evaluated for TDP-43 (n) HS-Ageing with TDP+n (%) HS-NEG evaluated for TDP-43 (N) HS-NEG with TDP+n (%) 
UK-Alzheimer’s Disease Centre 208 84.3 23 15 (65) 185 15 (5) 
Nun Study 48 92.8 48 43 (90)   
Georgia centenarians 50 102.2 8 (100) 42 7 (17) 
Total 306 88.6 79 66 (89.9) 227 22 (9.7) 

We tested a sample of convenience to address whether aberrant TDP-43 was present in the contralateral side in cases that had unilateral hippocampal sclerosis pathology by haematoxylin and eosin stain (eight cases with unilateral hippocampal sclerosis by haematoxylin and eosin of which two were TDP-43 negative). The contralateral sides that were deemed on haematoxylin and eosin to be ‘negative’ for hippocampal sclerosis were immunopositive for aberrant TDP-43 in five of the six TDP-43 positive cases (Fig. 2C and Supplementary Table 3). The two cases that were TDP-43 negative on the ‘affected’ side were also negative for TDP-43 on the contralateral side. In a separate subsample, we tested the frontal cortex (Brodmann area 9, the superior frontal gyrus) to assess whether cases with HS-Ageing-TDP also had aberrant TDP-43 in the frontal cortex. Of 14 cases evaluated with bilateral HS-Ageing and TDP-43, four (29%) had aberrant frontal cortical staining, albeit usually less severe than that seen in the hippocampal portions (Fig. 2F and Supplementary Table 4).

Aberrant TDP-43 immunoreactivity in hippocampus and some frontal cortical sections of cases raises the question of relevance to FTLD-TDP (Armstrong et al., 2010; Baborie et al., 2010). Table 3 compares cases with HS-Ageing (present study) with published studies of FTLD-TDP cohorts (Mackenzie et al., 2006; Sampathu et al., 2006; Davidson et al., 2007; Josephs et al., 2009; Armstrong et al., 2010; Rohrer et al., 2010). Note that a handful of cases with frontotemporal dementia syndromes were excluded from the current study up-front (see above). However, cases with HS-Ageing are distinctly older and lack clinical frontotemporal dementia, primary progressive aphasia, or semantic dementia symptoms, unlike FTLD-TDP cases from our cohorts or elsewhere in the published literature (Table 3).

Table 3

Comparison of mean age at death and percentage hippocampal sclerosis positive, frontotemporal dementia positive, progressive non-fluent aphasia positive, and semantic dementia positive, between the current case series (bold) and prior case series with frontotemporal lobar dementia with aberrant TDP-43 (FTLD-TDP)

 n Mean death age in years (SD) Hippocampal sclerosis pathology (%) FTD or PNFA clinically (%) Semantic dementia clinically (%) 
Current study      
    HS-Ageing (all) 106 92 (7) 100b 0 0 
    HS-Ageing–TDPa 71 94 (7) 100b 0 0 
Rohrer et al. (2010
    FTLD–TDP type 1c 59 (8) 100 
    FTLD–TDP type 2c 59 (11) 20 100 
    FTLD–TDP type 3c 10 57 (8) 10 80 
Josephs et al. (2009
    FTLD–TDP type 1d 24 76 (10) 75 100 
    FTLD–TDP type 2d 74 (10) 56 29 71 
    FTLD–TDP type 3d 70 (8) 67 100 
Mackenzie et al. (2006)e 
    FTLD–TDP type 1d 15 69 (5) 93 93 
    FTLD–TDP type 2d 70 (4) 67 22 77 
    FTLD–TDP type 3d 13 59 (11) 100 100 
Armstrong et al. (2009)f 
    FTLD–TDP sporadic 52 71 (11)   
    FTLD–TDP not sporadic 42 70 (9)   
 n Mean death age in years (SD) Hippocampal sclerosis pathology (%) FTD or PNFA clinically (%) Semantic dementia clinically (%) 
Current study      
    HS-Ageing (all) 106 92 (7) 100b 0 0 
    HS-Ageing–TDPa 71 94 (7) 100b 0 0 
Rohrer et al. (2010
    FTLD–TDP type 1c 59 (8) 100 
    FTLD–TDP type 2c 59 (11) 20 100 
    FTLD–TDP type 3c 10 57 (8) 10 80 
Josephs et al. (2009
    FTLD–TDP type 1d 24 76 (10) 75 100 
    FTLD–TDP type 2d 74 (10) 56 29 71 
    FTLD–TDP type 3d 70 (8) 67 100 
Mackenzie et al. (2006)e 
    FTLD–TDP type 1d 15 69 (5) 93 93 
    FTLD–TDP type 2d 70 (4) 67 22 77 
    FTLD–TDP type 3d 13 59 (11) 100 100 
Armstrong et al. (2009)f 
    FTLD–TDP sporadic 52 71 (11)   
    FTLD–TDP not sporadic 42 70 (9)   

a 71/79 cases with hippocampal sclerosis evaluated for TDP-43 immunohistochemistry were positive.

b 100% is due entirely to inclusion criteria.

c According to the Sampathu scheme for FTLD-TDP typing (Sampathu et al, 2006).

d According to the Mackenzie scheme for FTLD-TDP typing (Mackenzie et al, 2006).

e Displayed also are data from the same patients in Davidson et al. (2007).

f Patients in this study all met clinical criteria for frontotemporal dementia syndrome.

FTD = frontotemporal dementia including behavioural and motor neurone disease variants; PNFA = progressive non-fluent aphasia.

Correlations with brain infarcts and other comorbidities

Another disease mechanism linked to hippocampal sclerosis relates to cerebral perfusion (Ng et al., 1989). We sought to determine if cerebral infarctions occurred independently of hippocampal sclerosis, with or without aberrant TDP-43. Results are shown in Table 4. In the UK-Alzheimer’s Disease Centre cohort, the presence of large infarcts was associated with an increased risk for hippocampal sclerosis pathology (P < 0.04). However, when comparing clinical and pathological parameters between cases with hippocampal sclerosis and controls, we found it critical to control appropriately for patients’ ages because cases with hippocampal sclerosis pathology and cases with pathologically confirmed strokes both tended to be older. Neither vascular risk factors nor pathologically verified brain infarction risk were significantly different in cases with hippocampal sclerosis pathology compared with control individuals who died aged ≥90 years. We also assessed whether hippocampal sclerosis pathology corresponded to increased likelihood of large infarcts or lacunar infarcts in the Nun Study data set. Again, there was no increased risk for hippocampal sclerosis pathology in cases with infarcts after controlling for patients’ ages. There was also no difference in the prevalence of diffuse/neocortical Lewy body pathology in hippocampal sclerosis cases versus controls in either dataset (Supplementary Table 4). There was no added risk for infarcts, Lewy bodies or other clinical or pathological features in those cases with hippocampal sclerosis pathology but not aberrant TDP-43 immunohistochemistry (data not shown). Finally, hippocampal sclerosis pathology was slightly over-represented in cases with Alzheimer’s disease and vice versa; however, there was not good evidence that the interaction effect was powerful or specific despite the overlapping target cell populations for the diseases.

Table 4

Comparison of clinical features and pathological comorbidities between cases with HS-Ageing and hippocampal sclerosis negative cases in two cohorts: UK-Alzheimer’s Disease Centre and Nun Study

 HS-Ageing n No HS-Ageing n P-valuea No hippocampal sclerosis aged >89 years n P-value a 
UK-Alzheimer’s disease centre         
    Age at death (mean years) 87.7 44 82.0 521  93.4 107  
    History of hypertension (%) 48.4 31 55.3 309 0.571 59.5 111 0.308 
    History of transient ischaemic attacks (%) 10.7 28 10.1 277 1.000 14.9 94 0.760 
    History of smoking (%) 44.4 27 46.5 230 1.000 28.0 75 0.151 
    History of brain trauma (%) 16.7 30 14.0 272 0.782 10.8 93 0.521 
    History of seizures (%) 9.7 31 7.1 268 0.487 2.2 91 0.103 
    Braak stage V or VI (%) 54.6 44 51.1 521 0.754 36.5 107 0.047 
    Lewy body disease (%) 22.7 44 15.4 521 0.200 12.2 107 0.134 
    Amyloid angiopathy (%) 61.0 41 64.9 502 0.614 65.1 106 0.703 
    Pale infarcts (%) 6.8 44 7.1 521 1.000 9.5 107 0.757 
    Haemorrhagic infarcts (%) 4.6 44 5.8 521 1.000 7.5 107 0.724 
    Lacunar infarcts (%) 6.8 44 5.8 521 0.736 8.4 107 1.000 
    Micro-infarcts (%) 43.2 44 36.5 521 0.417 44.9 107 1.000 
    Large infarcts (%) 36.4 44 21.9 521 0.039 31.8 107 0.704 
Nun Study 
    Age at death (mean years) 92.8 56 89.5 470  93.6 241  
    Lewy body disease (%) 16.1 56 8.7 470 0.077 10.4 241 0.228 
    Lacunar infarcts (%) 46.8 47 31.1 437 0.034 37.3 212 0.249 
    Large infarcts (%) 17.0 47 17.8 437 1.000 17.5 212 1.000 
 HS-Ageing n No HS-Ageing n P-valuea No hippocampal sclerosis aged >89 years n P-value a 
UK-Alzheimer’s disease centre         
    Age at death (mean years) 87.7 44 82.0 521  93.4 107  
    History of hypertension (%) 48.4 31 55.3 309 0.571 59.5 111 0.308 
    History of transient ischaemic attacks (%) 10.7 28 10.1 277 1.000 14.9 94 0.760 
    History of smoking (%) 44.4 27 46.5 230 1.000 28.0 75 0.151 
    History of brain trauma (%) 16.7 30 14.0 272 0.782 10.8 93 0.521 
    History of seizures (%) 9.7 31 7.1 268 0.487 2.2 91 0.103 
    Braak stage V or VI (%) 54.6 44 51.1 521 0.754 36.5 107 0.047 
    Lewy body disease (%) 22.7 44 15.4 521 0.200 12.2 107 0.134 
    Amyloid angiopathy (%) 61.0 41 64.9 502 0.614 65.1 106 0.703 
    Pale infarcts (%) 6.8 44 7.1 521 1.000 9.5 107 0.757 
    Haemorrhagic infarcts (%) 4.6 44 5.8 521 1.000 7.5 107 0.724 
    Lacunar infarcts (%) 6.8 44 5.8 521 0.736 8.4 107 1.000 
    Micro-infarcts (%) 43.2 44 36.5 521 0.417 44.9 107 1.000 
    Large infarcts (%) 36.4 44 21.9 521 0.039 31.8 107 0.704 
Nun Study 
    Age at death (mean years) 92.8 56 89.5 470  93.6 241  
    Lewy body disease (%) 16.1 56 8.7 470 0.077 10.4 241 0.228 
    Lacunar infarcts (%) 46.8 47 31.1 437 0.034 37.3 212 0.249 
    Large infarcts (%) 17.0 47 17.8 437 1.000 17.5 212 1.000 

a P versus hippocampal sclerosis (Fisher’s exact test).

No significant associations were found between the presence of hippocampal sclerosis pathology and the large majority of other clinical or pathological parameters. For example, there was no increased or decreased risk for HS-Ageing in persons with a history of coronary artery surgery or angioplasty, low- or high-education levels, or in diabetics (data not shown). Unlike other subtypes of neurodegenerative diseases, we also found no gender effect in terms of HS-Ageing risk, with the caveat that most individuals in the over 95-year-old cohort (who have the greatest risk for HS-Ageing) were female.

Correlations with longitudinal cognitive assessments

To determine whether particular cognitive tests are able to discriminate patients who will eventually demonstrate HS-Ageing pathologically, retrospective analyses were used from individuals who had serial cognitive assessments in the Nun Study and UK-Alzheimer’s Disease Centre. Cases stratified into groups according to the eventual neuropathological diagnoses: with or without ‘high likelihood’ Alzheimer’s disease pathology [Braak stage V or VI and moderate or severe densities of neuritic amyloid plaques according to the CERAD criteria (1997)], and with or without HS-Ageing pathology. Each hippocampal sclerosis positive case was matched to 1–2 hippocampal sclerosis negative cases on age, gender, education and APOE 4 carrier status. Non-linear mixed effects regression modelling was used to assess the trajectory of different cognitive test scores according to the four groups determined by eventual pathology (Fig. 3). Results show the changes in test scores moving backward in time from the final evaluation (median 9 months prior to death) through the prior 10 years, with an average of 8.2 longitudinal assessments. Verbal fluency test scores were higher, but word list delayed recall scores were lower, in patients with HS-Ageing relative to patients with Alzheimer’s disease pathology only. Word list delayed recall shows effect by hippocampal sclerosis but not Alzheimer’s disease pathology on asymptote, scale and midpoint (P < 0.0001) whereas verbal fluency shows effect by Alzheimer’s disease but not hippocampal sclerosis pathology on asymptote and midpoint (P < 0.0001). MMSE scores provide weaker discriminatory power than the other two tests.

Figure 3

Linear mixed modelling of world list delay (A), verbal fluency (B) and MMSE (C) scores over time (n = 118 patients) with the goal of developing a biomarker for HS-Ageing. Cognitive assessment scores were modelled starting with the final evaluation and working back for 10 years using the non-linear mixed effects regression model (Martins et al., 2005; Nelson et al., 2009). This approach was used because starting at ‘baseline’ and moving forward required potential insertion of bias to cope with variance in the number of years before the advent of cognitive decline. Eventual HS-Ageing pathology and Alzheimer’s disease (with Braak stage V or VI) pathology, are the two main factors investigated and the fitted curves were plotted accordingly. The data from this three-parameter logistic model suggested an approach that could use cognitive testing as a biomarker for HS-Ageing because verbal fluency scores were higher, but word list delay lower in patients with HS-Ageing pathology (red line) than those with pure Alzheimer’s disease pathology (blue line). Note that MMSE scores provide weaker discriminatory power than the other two tests although, as in the other tests, the impact of HS-Ageing and Alzheimer’s disease are additive in individuals with both pathologies (green line). AD = Alzheimer's disease; HS = hippocampal sclerosis.

Figure 3

Linear mixed modelling of world list delay (A), verbal fluency (B) and MMSE (C) scores over time (n = 118 patients) with the goal of developing a biomarker for HS-Ageing. Cognitive assessment scores were modelled starting with the final evaluation and working back for 10 years using the non-linear mixed effects regression model (Martins et al., 2005; Nelson et al., 2009). This approach was used because starting at ‘baseline’ and moving forward required potential insertion of bias to cope with variance in the number of years before the advent of cognitive decline. Eventual HS-Ageing pathology and Alzheimer’s disease (with Braak stage V or VI) pathology, are the two main factors investigated and the fitted curves were plotted accordingly. The data from this three-parameter logistic model suggested an approach that could use cognitive testing as a biomarker for HS-Ageing because verbal fluency scores were higher, but word list delay lower in patients with HS-Ageing pathology (red line) than those with pure Alzheimer’s disease pathology (blue line). Note that MMSE scores provide weaker discriminatory power than the other two tests although, as in the other tests, the impact of HS-Ageing and Alzheimer’s disease are additive in individuals with both pathologies (green line). AD = Alzheimer's disease; HS = hippocampal sclerosis.

Because the results from the statistical modelling showed the verbal fluency and word list delayed recall could help discriminate cases with eventual HS-Ageing pathology from those with Alzheimer’s disease, we evaluated these tests at the baseline examination and in a time window 5.5–6.5 years prior to death (Supplementary Fig. 3). The latter time-point was selected because—for most patients—it was after the advent of symptoms but before ‘end-stage’ cognitive manifestations. The results of these additional analyses are shown in Table 5. Even at the baseline examination, the individuals with eventual HS-Ageing pathology tended to have higher verbal fluency test scores and lower word list delayed recall test scores relative to patients who eventually developed Alzheimer’s disease pathology (Supplementary Fig. 3). The baseline ANCOVA (adjusted for study group) results show a significant effect related to neuropathological diagnosis for HS-Ageing for word list delayed recall (P = 0.009) and the ratio of word list delayed recall:verbal fluency (P = 0.012). At a later time-point, 5.5–6.5 years prior to death, the ANCOVA (adjusted for study group) results show a significant effect due to neuropathological diagnosis for HS-Ageing for the MMSE (P ≤ 0.015), word list delayed recall (P < 0.0004) and word list delayed recall/verbal fluency (P < 0.005). The results of comparing the subsample of hippocampal sclerosis positive/Alzheimer’s disease negative and hippocampal sclerosis negative/Alzheimer’s disease positive cases only was also P < 0.05 at both time-points (data not shown). The ratio of word list delayed recall/verbal fluency was significantly different both at baseline and at 5.5–6.5 years before death when comparing groups with and without HS-Ageing (Supplementary Fig. 3). However, there was overlap in the values such that this ratio cannot be used to definitively identify individuals who would eventually manifest the pathology.

Table 5

Cases from the UK-Alzheimer’s Disease Centre and Nun Study matched for age, gender, APOE allele frequencies and education level: comparison on neuropsychological test scores by pathological diagnosis

 HS-Ageing negative HS-Ageing positive 
 Alzheimer’s disease negative n Alzheimer’s disease positive n Alzheimer’s disease negative n Alzheimer’s disease positive n 
At intake 
    Test scores (average ± SEM) 
        MMSE 27.8 ± 0.3 52 27.5 ± 0.4 23 27.6 ± 0.4 30 26.2 ± 0.6 13 
        Verbal fluency 16.7 ± 0.6 52 15.1 ± 0.9 23 16.3 ± 0.8 30 14.5 ± 1.2 13 
        Word list delay 5.9 ± 0.4 52 5.7 ± 0.5 23 5.1 ± 0.5 30 3.7 ± 0.7 13 
        Word list delay/verbal   fluency 0.36 ± 0.02 52 0.39 ± 0.04 23 0.32 ± 0.03 30 0.26 ± 0.05 13 
5.5–6.5 years prior to death 
    Test scores (average ± SEM) 
        MMSE 27.6 ± 0.9 37 25.0 ± 1.6 12 25.4 ± 1.1 25 18.7 ± 2.7 
        Verbal fluency 16.5 ± 0.9 37 12.9 ± 1.6 12 13.9 ± 1.1 25 12.0 ± 2.7 
        Word list delay 6.8 ± 0.4 37 5.7 ± 0.8 11 4.2 ± 0.5 25 2.1 ± 1.3 
        Word list delay/verbal   fluency 0.42 ± 0.03 37 0.43 ± 0.05 10 0.30 ± 0.04 24 0.20 ± 0.10 
 HS-Ageing negative HS-Ageing positive 
 Alzheimer’s disease negative n Alzheimer’s disease positive n Alzheimer’s disease negative n Alzheimer’s disease positive n 
At intake 
    Test scores (average ± SEM) 
        MMSE 27.8 ± 0.3 52 27.5 ± 0.4 23 27.6 ± 0.4 30 26.2 ± 0.6 13 
        Verbal fluency 16.7 ± 0.6 52 15.1 ± 0.9 23 16.3 ± 0.8 30 14.5 ± 1.2 13 
        Word list delay 5.9 ± 0.4 52 5.7 ± 0.5 23 5.1 ± 0.5 30 3.7 ± 0.7 13 
        Word list delay/verbal   fluency 0.36 ± 0.02 52 0.39 ± 0.04 23 0.32 ± 0.03 30 0.26 ± 0.05 13 
5.5–6.5 years prior to death 
    Test scores (average ± SEM) 
        MMSE 27.6 ± 0.9 37 25.0 ± 1.6 12 25.4 ± 1.1 25 18.7 ± 2.7 
        Verbal fluency 16.5 ± 0.9 37 12.9 ± 1.6 12 13.9 ± 1.1 25 12.0 ± 2.7 
        Word list delay 6.8 ± 0.4 37 5.7 ± 0.8 11 4.2 ± 0.5 25 2.1 ± 1.3 
        Word list delay/verbal   fluency 0.42 ± 0.03 37 0.43 ± 0.05 10 0.30 ± 0.04 24 0.20 ± 0.10 

Table 6 shows the results of the MMSE, verbal fluency, word list delayed recall, and word list delayed recall/verbal fluency tests for cases with HS-Ageing stratified by whether or not aberrant TDP-43 staining was detected. Note that the cases without aberrant TDP-43 are relatively few (n = 4 and 6 at the two time-points) so this comparison is poorly powered for statistical purposes. These results do not provide a definitive answer to whether the cases with HS-Ageing TDP can be confidently differentiated from cases without aberrant TDP-43 immunostaining.

Table 6

Cases from the UK-Alzheimer’s Disease Centre and Nun Study: comparison of cases with HS-Ageing only on neuropsychological test scores stratified by whether or not aberrant TDP-43 was found by pathology

 HS-Ageing TDP positive HS-Ageing TDP negative P-value 
At intake (among cases stained for TDP-43) (n = 28) (n = 6)  
    Test scores (average ± SEM) 
        MMSE 26.9 ± 0.5 27.5 ± 0.8 0.574 
        Verbal fluency 14.2 ± 0.7 15.8 ± 1.4 0.324 
        Word list delay 3.8 ± 0.5 5.8 ± 0.7 0.060 
        Word list delay/verbal fluency 0.3 ± 0.03 0.4 ± 0.1 0.167 
5.5–6.5 years prior to death (among cases stained for TDP-43) (n = 19) (n = 4)  
    Test scores (average ± SEM) 
        MMSE 24.7 ± 1.6 25.0 ± 1.9 0.932 
        Verbal fluency 12.2 ± 1.2 16.8 ± 1.9 0.107 
        Word list delay 3.1 ± 0.5 6.5 ± 1.3 0.010 
        Word list delay/verbal fluency 0.3 ± 0.04 0.4 ± 0.1 0.179 
 HS-Ageing TDP positive HS-Ageing TDP negative P-value 
At intake (among cases stained for TDP-43) (n = 28) (n = 6)  
    Test scores (average ± SEM) 
        MMSE 26.9 ± 0.5 27.5 ± 0.8 0.574 
        Verbal fluency 14.2 ± 0.7 15.8 ± 1.4 0.324 
        Word list delay 3.8 ± 0.5 5.8 ± 0.7 0.060 
        Word list delay/verbal fluency 0.3 ± 0.03 0.4 ± 0.1 0.167 
5.5–6.5 years prior to death (among cases stained for TDP-43) (n = 19) (n = 4)  
    Test scores (average ± SEM) 
        MMSE 24.7 ± 1.6 25.0 ± 1.9 0.932 
        Verbal fluency 12.2 ± 1.2 16.8 ± 1.9 0.107 
        Word list delay 3.1 ± 0.5 6.5 ± 1.3 0.010 
        Word list delay/verbal fluency 0.3 ± 0.04 0.4 ± 0.1 0.179 

Discussion

Autopsy-verified hippocampal sclerosis cases (n = 106, with 10 extra surgical pathology cases) and controls (n = 1004) from three large autopsy series were evaluated with the intention of better understanding the clinical and pathological parameters associated with hippocampal sclerosis in ageing. Our data support prior work linking HS-Ageing with aberrant TDP-43 immunohistochemical staining. Each additional year beyond the age of 95 years was associated with the increased risk for HS-Ageing pathology but not with increased Alzheimer’s disease pathology. Our data did not provide support for the pathogenetic connection between vascular factors and HS-Ageing. We found that we could determine a cognitive test profile with group-level differences between persons that manifest HS-Ageing pathology versus those that would develop Alzheimer’s disease. We conclude that the clinical and pathological features of HS-Ageing indicate a discrete brain disease with high prevalence in the studied autopsy cohorts.

Prior studies have found that hippocampal sclerosis pathology is detected in the brains of between 0.4% and 26% of elderly individuals (Dickson et al., 1994; Ala et al., 2000; Crystal et al., 2000; Jellinger, 2000; Barker et al., 2002; Leverenz et al., 2002; Petrovitch et al., 2005; Chui et al., 2006; Josephs et al., 2007; Nelson et al., 2007; Saito and Murayama, 2007; Sonnen et al., 2007; Zarow et al., 2008; Schneider et al., 2009). The variability in apparent hippocampal sclerosis prevalence may relate to differing cohort and study characteristics: patients’ ages and ante-mortem dementia severity, the thoroughness of the tissue sampling (not all studies noted that bilateral hippocampi were evaluated) and different diagnostic practices of individual neuropathologists involved in the studies. Although the true epidemiological prevalence of HS-Ageing is not known, the range of ∼8–18% prevalence in some large cohorts of aged individuals provides an approximation (Barker et al., 2002; Leverenz et al., 2002; Petrovitch et al., 2005; Chui et al., 2006). In the current study, 9.5% of cases had hippocampal sclerosis pathology (106/1110). This proportion may be lower than other autopsy series because more than half of the individuals in our sample had neither Alzheimer’s disease nor HS-Ageing pathology (625/1110, 57%); many were non-demented before death (overall mean final MMSE = 22.3, n = 296 with final MMSE = 26 or higher).

There was a lack of definite association between the presence of HS-Ageing on pathology and cerebrovascular disease or risk factors. This agrees with some prior autopsy series (Jellinger, 1994; Leverenz et al., 2002; Hatanpaa et al., 2004) but not all (Dickson et al., 1994; Corey-Bloom et al., 1997; Kril et al., 2002). As a practical point, both brain infarcts and HS-Ageing pathologies increase in advanced age and failing to incorporate this expectation by using sufficiently aged comparison groups will lead to a spurious correlation (as occurs in both the UK-Alzheimer’s Disease Centre and Nun Study data sets). In summary, we find that few if any individuals in our data sets harboured hippocampal sclerosis pathology due to vascular factors.

Two of the findings in the present study also agree with prior published literature: hippocampal sclerosis pathology increases in extreme advanced age and is associated with aberrant TDP-43 immunohistochemistry. A prior study evaluated 13 patients with hippocampal sclerosis and observed that these patients died at advanced ages (Dickson et al., 1994). However, the impact of ageing in hippocampal sclerosis prevalence was less obvious in other reports (Leverenz et al., 2002; Hatanpaa et al., 2004).

The positive correlation between dementia prevalence and ageing is widely accepted. However, specific neurodegenerative diseases tend to be most prevalent within particular ranges of the human ageing spectrum. Most brains in advanced age harbour at least incipient vascular disease, Alzheimer’s disease pathology, or synucleinopathies, paralleling the trend for impaired normative outcomes of cognitive tests (Petrovitch et al., 2005; Nelson et al., 2007, 2009; Schneider et al., 2007, 2009). Some cerebrovascular pathology is the norm (>75% prevalence) in individuals over the age of 90 years (van Dijk et al., 2002; Petrovitch et al., 2005; Nelson et al., 2007). This explanation may account for the finding that ‘pure’ hippocampal sclerosis pathology—with mean age of death 91.7 years in the current study—is not common (Ala et al., 2000; Jellinger, 2000; Barker et al., 2002; Attems and Jellinger, 2006). Individuals with Alzheimer’s disease pathology, but lacking HS-Ageing, tend to die younger (mean age at death 84.4 years in the current study) and thus have less concomitant pathology (Barker et al., 2002; Nelson et al., 2007). The prevalence of HS-Ageing pathology increases dramatically, while the prevalence of Alzheimer’s disease-type pathology declines, among individuals in our research cohort who died beyond the age of 95 years (Fig. 1). This pattern suggests a new insight into this expanding demographic cohort. Advanced age may indeed be the strongest risk factor for dementia, and Alzheimer’s disease the most common disease underlying dementia. However, the increased risk for dementia in extreme old age may be conferred largely by vascular disease and HS-Ageing, not by Alzheimer’s disease.

In addition to being linked to advanced age, hippocampal sclerosis pathology is also associated strongly with aberrant TDP-43 immunohistochemistry (Neumann et al., 2006; Amador-Ortiz et al., 2007; Josephs et al., 2008). In the current study, we confirm that ∼90% of patients with hippocampal sclerosis had aberrant TDP-43 immunohistochemical staining, in comparison to ∼10% in older controls irrespective of the presence of other pathologies. The interface between HS-Ageing and TDP-43-positive FTLD has not been well defined (Hatanpaa et al., 2004; Amador-Ortiz et al., 2007; Probst et al., 2007); clearly, cases with HS-Ageing do not fit neatly into existing FTLD classification (Cairns et al., 2007). A prior study reported that individuals with hippocampal sclerosis pathology frequently met clinical diagnostic criteria for frontotemporal dementia (Blass et al., 2004) but this was not the case in our research groups. The enormous age difference in subjects studied [Blass et al. (2004) had a mean age of 68.1 years versus 91.7 years in the present study] probably explains the difference in the underlying disease (Table 3). It remains to be seen whether the TDP-43 abnormalities are causally linked with HS-Ageing pathology. A speculative hypothesis, dovetailing on the recently described association between TDP-43 pathology and chronic trauma-induced encephalopathy (King et al., 2010; McKee et al., 2010), and the fact that hippocampal sclerosis-like pathology is observed in some blunt trauma cases (Kotapka et al., 1992), is that aberrant TDP-43 with hippocampal sclerosis pathology in advanced age may reflect physical wear and tear.

Whereas the pathological data may be biologically informative, there is a practical need for improved clinical detection of HS-Ageing to enable better management of both patients with HS-Ageing and Alzheimer’s disease. We found that the neuropsychological profiles of individuals with incipient HS-Ageing differed systematically, even in the earliest stages of cognitive decline, relative to individuals who would eventually die with advanced Alzheimer’s disease pathology. Individuals with presumed incipient HS-Ageing had higher verbal fluency scores and lower word list delayed recall scores, which is informative because the former relies more on neocortical function and the latter on brain function referent more directly to the hippocampal formation. Although Alzheimer’s disease often presents with memory complaints, the disease does not reach its more severe clinical stages until there is appreciable involvement of the neocortex (Arriagada et al., 1992; Nelson et al., 2009; Dolan et al., 2010). Although the verbal fluency and word list delayed recall tests could be used to differentiate between groups with and without HS-Ageing, this ratio could not discriminate between individuals because there was too much overlap between groups. Further, Alzheimer’s disease and HS-Ageing clinical trajectories over time are probably different from each other, which is an important caveat and potential confounder in our analyses. Our data serve only as an initial indicator that may be honed for more specificity in the future.

The present study is anchored in the analyses of autopsy-verified cases. The requirement for autopsy diagnosis introduces potential biases because autopsy series never achieve ideal parameters for an epidemiological cohort. In the present study, all the neuropathology was performed at the same research centre, which is a key study design element. There has not been a consensus report by a panel of experts about how to diagnose hippocampal sclerosis. Consensus guidelines are important; in cases with Alzheimer’s disease-like pathology that fall outside well-demarcated consensus guidelines, diagnoses are far more varied among neuropathologists than where clear consensus guidelines exist (Nelson et al., 2010). Hippocampal sclerosis may be more explicitly defined to incorporate different subtypes (Table 7). Hippocampal sclerosis–tau (Beach et al., 2003; Miki et al., 2009), hippocampal sclerosis–cerebrovascular disease (Ng et al., 1989; Horn and Schlote, 1992; Kotapka et al., 1992; Kril et al., 2002), and hippocampal sclerosis–FTLD (Barker et al., 2002; Blass et al., 2004; Hatanpaa et al., 2004) are conditions where hippocampal cell death and astrocytosis occur apparently through different mechanisms. Our findings are inconclusive as to whether there is synergy between Alzheimer’s disease and hippocampal sclerosis pathologies, but indicate that if there is synergy it is a relatively weak effect and independent of APOE status, so it is too early to designate a ‘hippocampal sclerosis–Alzheimer’s disease’ subtype. It also may be helpful to underscore the contrast between HS-Ageing and the pathology associated with seizures (Thom, 2009), which may be designated hippocampal sclerosis–seizures, and is not accompanied by aberrant TDP-43 (Lee et al., 2008). Better methods, e.g. biomarkers, are required to diagnose HS-Ageing clinically. In the meantime, we are increasingly impressed by the prevalence and impact of this TDP-43-linked neurodegenerative disease in the aged population.

Table 7

Hippocampal sclerosis is associated with diverse underlying and accompanying brain diseases with at least five distinct hippocampal sclerosis subtypes

Subtype Characteristics 
Associated with advanced age (HS-Ageing and HS-Ageing–TPD) Highest prevalence in ‘oldest-old’a 
Aberrant TDP-43 in ∼90% of casesa 
    TDP-43 bilateral even if routine haematoxylin and eosin histology not 
    Still not known whether TPD-43 is causative 
No proven relation to strokea 
Dementia, not usually seizuresa 
Association with Alzheimer’s disease is weak or non-existenta 
APOE alleles do not alter riska 
Cognitive tests: word list delay/verbal fluency ratio 
With seizures (HS–Sz) Younger persons 
Seizures, not usually dementia 
Often unilateral 
No aberrant TDP-43a 
With tauopathy (HS–tau) Non-Alzheimer’s disease tauopathy 
May include argyrophilic grain disease or progressive supranuclear palsy 
With non-tauopathy frontotemporal dementia (HS–FTD) Multiple possible aetiologies 
Accompanied by frontotemporal dementia clinical syndrome 
With cerebrovascular disease (HS–CVD) May coexist with other cerebrovascular sequelae 
Probably not progressive 
Similar pathology can be seen in hypoglycaemia, trauma 
Subtype Characteristics 
Associated with advanced age (HS-Ageing and HS-Ageing–TPD) Highest prevalence in ‘oldest-old’a 
Aberrant TDP-43 in ∼90% of casesa 
    TDP-43 bilateral even if routine haematoxylin and eosin histology not 
    Still not known whether TPD-43 is causative 
No proven relation to strokea 
Dementia, not usually seizuresa 
Association with Alzheimer’s disease is weak or non-existenta 
APOE alleles do not alter riska 
Cognitive tests: word list delay/verbal fluency ratio 
With seizures (HS–Sz) Younger persons 
Seizures, not usually dementia 
Often unilateral 
No aberrant TDP-43a 
With tauopathy (HS–tau) Non-Alzheimer’s disease tauopathy 
May include argyrophilic grain disease or progressive supranuclear palsy 
With non-tauopathy frontotemporal dementia (HS–FTD) Multiple possible aetiologies 
Accompanied by frontotemporal dementia clinical syndrome 
With cerebrovascular disease (HS–CVD) May coexist with other cerebrovascular sequelae 
Probably not progressive 
Similar pathology can be seen in hypoglycaemia, trauma 

a Focus of current study.

Funding

National Institutes of Health (grants R01 NS061933, R01 AG19241, K08 NS050110, P01 AG17553, P30 AG028383, K24 AG027841 and U01 AG016976).

Supplementary material

Supplementary material is available at Brain online.

Acknowledgements

Dr William R. Markesbery performed the neuropathological evaluations for the great majority of cases and controls before his death in January 2010. The authors are deeply grateful to all of the study volunteers. The authors thank Sonya Anderson, Ann Tudor and Dr Huaichen Liu for technical support; Greg Cooper, MD, Nancy Stiles, MD and Allison Caban-Holt, PhD for the clinical evaluations; and Daron Davis, MD and Stephen W. Scheff, PhD, for pathological evaluations.

Abbreviations

    Abbreviations
  • CERAD

    Consortium to Establish a Registry for Alzheimer’s Disease

  • FTLD

    frontotemporal lobar degeneration

  • HS-Ageing

    hippocampal sclerosis associated with ageing

  • MMSE

    mini-mental state examination

  • TDP-43

    TAR DNA binding protein 43

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