Abstract

Background

Descriptions of the pathological features of coronavirus disease-2019 (COVID-19) caused by the novel zoonotic pathogen severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) emanate from tissue biopsies, case reports, and small postmortem studies restricted to the lung and specific organs. Whole-body autopsy studies of COVID-19 patients have been sparse.

Methods

To further define the pathology caused by SARS-CoV-2 across all body organs, we performed autopsies on 22 patients with COVID-19 (18 with comorbidities and 4 without comorbidities) who died at the National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS Hospital, Rome, Italy. Tissues from the lung, heart, liver, kidney, spleen, and bone marrow (but not the brain) were examined. Only lung tissues were subject to transmission electron microscopy.

Results

COVID-19 caused multisystem pathology. Pulmonary and cardiovascular involvement were dominant pathological features. Extrapulmonary manifestations included hepatic, kidney, splenic, and bone marrow involvement, and microvascular injury and thrombosis were also detected. These findings were similar in patients with or without preexisting medical comorbidities.

Conclusions

SARS-CoV-2 infection causes multisystem disease and significant pathology in most organs in patients with and without comorbidities.

The first human cases of coronavirus disease-2019 (COVID-19), caused by the novel zoonotic pathogen severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), were reported at the end of December 2019 in Wuhan, China. On 12 March 2020, the World Health Organization (WHO) declared COVID-19 a global pandemic as it rapidly spread worldwide [1]. In Italy, the first confirmed cases of COVID-19, reported on 31 January 2020, were 2 tourists from Wuhan, China. As of 19 August 2020, globally there have been 21 300 000 COVID-19 cases with 760 000 deaths reported to the WHO, of which Italy has reported 250 000 COVID-19 cases with 35 000 deaths [1].

Clinical and epidemiological studies have established that COVID-19 presents as a spectrum of clinical manifestations from asymptomatic, to mild illness (up to 80% of patients), moderate (15% of patients), to severe illness (5% of patients). Increased mortality rates have been observed in older people (>70 years of age) and those with comorbidities [2, 3]. Reports from individual or small autopsy case studies [4–6] or limited postmortem studies [7–9] show that SARS-CoV-2, like SARS-CoV-1 in 2003, is a multisystem disease that predominantly affects the respiratory and cardiovascular system. SARS-CoV-2 has been detected in a range of clinical samples, such as bronchoalveolar lavage fluid, sputum, feces, and blood, indicating widespread dissemination [10]. Performing whole-body autopsies in patients who die of COVID-19 remains challenging due to infection control regulations and other logistical reasons [11, 12]. There is a need for more detailed and larger autopsy case series to further define the pathological manifestations of COVID-19 [13] and determine the full extent of organ involvement. Here, we reported the whole-body postmortem examinations of 22 Italian patients who died of COVID-19, 4 of whom had no comorbidities.

METHODS

Study Site and Ethical Approval

Autopsies were performed at the National Institute for Infectious Diseases Lazzaro Spallanzani-IRCCS Hospital, Rome, Italy. The study was approved by the local ethics committee (approval number 9/2020).

Study Cohort and Clinical Information

Patient demographic and clinical information was extracted from case records of 22 consecutive patients with COVID-19 who died and were autopsied.

Autopsy Procedures

Autopsies were performed using the specific guidance for post mortem, and collection according to submission of specimens and biosafety practices [11] to reduce the risk of transmission of infectious pathogens during and after postmortem examination. Because SARS-CoV-2 is classified as a biosafety level 3 (BSL3) organism, specific operating procedures for BSL3 pathogens were also followed. Autopsies were performed in a specific COVID-19 designated autopsy room with airflow control and airborne infection control procedures, including use of appropriated personal protective equipment (ie, National Institute for Occupational Safety and Health-certified disposable N-95 respirator).

SARS-CoV-2 RT-PCR

SARS-CoV-2 qualitative reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 infection was performed on the following samples: ocular, nasopharyngeal, oropharyngeal, lung, and rectal swabs.

Tissues Sampled and Histological Stains

Tissues from the lung, heart, liver, kidney, spleen, and bone marrow were placed in formalin at room temperature for 72 hours before macroscopic analysis and processing for histological examination. The brain was not examined. Tissue samples were processed using hematoxylin and eosin staining (H&E), Masson trichrome stain, Perls stain, reticulin stain, periodic acid-Schiff reaction (PAS) and diastase-PAS. Giemsa and/or Grocott methenamine silver stains were performed where necessary.

Immunohistochemistry

Deparaffinized and rehydrated sections were used for immunohistochemistry. Organ sections were immersed in 10 mM sodium citrate, pH 6.0, and microwaved for antigen retrieval and stained on a BenchMark ULTRA system fully automated instrument (Roche) with an antibody directed against CD3 (2GV6; Ventana), CD4 (SP35; Ventana), CD8 (SP57; Ventana), CD15 (MMA; Ventana) CD26 (ab28340; Abcam), CD183 (1C6/CXCR3; BD Pharmigen), CD61 (ZfZ; Leica), CD20 (LZ6; Ventana), and CD68 (KP-1; Ventana).

Transmission Electron Microscopy

We only looked for evidence of SARS-CoV-2 in lung samples. Nonlung samples were not subject to transmission electron microscopy. Lung tissues were fixed with 2.5% glutaraldehyde in 0.1 M cacodylate buffer for 4 hours at 4°C. Fixation was performed with 1% OsO4. Samples were then dehydrated in graded ethanol and embedded in Epon resin, as previously described [14, 15]. Ultrathin sections were stained with 2% uranyl acetate and examined under a transmission electron microscope (JEOL JEM 2100 Plus; Japan Electron Optics Laboratory). Images were captured with a digital camera (Tietz Video and Image Processing Systems).

RESULTS

Patient Demographics and Clinical Characteristics

Table 1 and Table 2 depict the demographic and clinical characteristics of 22 COVID-19 patients on whom postmortem examinations were performed. Of these, 18 had other medical comorbidities (designated group 1). Four patients were healthy prior to hospital admission and had no known medical comorbidities or any cause of immunosuppression (designated group 2).

Table 1.

Summary of Patient Demographics at Baseline

CharacteristicGroup 1 With ComorbiditiesGroup 2 Without Comorbidities
Number of patients 184
Demography
 Age, y, median ± SD (range) 76 ± 15.7 (27–92)48.5 ± 13.07 (35–65)
 Men12 (66.7)3 (75)
 Women6 (33.3)1 (25)
Comorbidity
 Chronic obstructive pulmonary disease6 (33.3)
 Cardiac disease8 (44.5)
 Malignancy5 (27.8)
 Hypertension4 (22.3)
 Diabetes4 (22.3)
 Schizophrenia1 (5.6)
 Kidney disease2 (11.2)
CharacteristicGroup 1 With ComorbiditiesGroup 2 Without Comorbidities
Number of patients 184
Demography
 Age, y, median ± SD (range) 76 ± 15.7 (27–92)48.5 ± 13.07 (35–65)
 Men12 (66.7)3 (75)
 Women6 (33.3)1 (25)
Comorbidity
 Chronic obstructive pulmonary disease6 (33.3)
 Cardiac disease8 (44.5)
 Malignancy5 (27.8)
 Hypertension4 (22.3)
 Diabetes4 (22.3)
 Schizophrenia1 (5.6)
 Kidney disease2 (11.2)

Data are No. (%) except where indicated.

Table 1.

Summary of Patient Demographics at Baseline

CharacteristicGroup 1 With ComorbiditiesGroup 2 Without Comorbidities
Number of patients 184
Demography
 Age, y, median ± SD (range) 76 ± 15.7 (27–92)48.5 ± 13.07 (35–65)
 Men12 (66.7)3 (75)
 Women6 (33.3)1 (25)
Comorbidity
 Chronic obstructive pulmonary disease6 (33.3)
 Cardiac disease8 (44.5)
 Malignancy5 (27.8)
 Hypertension4 (22.3)
 Diabetes4 (22.3)
 Schizophrenia1 (5.6)
 Kidney disease2 (11.2)
CharacteristicGroup 1 With ComorbiditiesGroup 2 Without Comorbidities
Number of patients 184
Demography
 Age, y, median ± SD (range) 76 ± 15.7 (27–92)48.5 ± 13.07 (35–65)
 Men12 (66.7)3 (75)
 Women6 (33.3)1 (25)
Comorbidity
 Chronic obstructive pulmonary disease6 (33.3)
 Cardiac disease8 (44.5)
 Malignancy5 (27.8)
 Hypertension4 (22.3)
 Diabetes4 (22.3)
 Schizophrenia1 (5.6)
 Kidney disease2 (11.2)

Data are No. (%) except where indicated.

Table 2.

Demographics, Comorbidities, Duration of Hospital Stay, and Autopsy Cause of Death

Patient Number Sex, M/FAge, yOnset of Symptoms, dComorbiditiesDays in Hospital Before DeathPostmortem Cause of Death
1M81Not knownHypertension
Aortomyocardial sclerosis
Ischemic heart disease Cardiomyopathy
Aortic aneurysm
4Cardiorespiratory failure
2F82Not knownDiabetes
Atrioventricular valve prothesis
Atrial fibrillation
COPD
Malignancy
Kidney disease
3Cardiorespiratory failure
3M927COPD 1Cardiorespiratory failure
4F69Not knownSchizophrenia28Cardiorespiratory failure
5F80Not knownCardiovascular disease
Senile dementia
38Cardiorespiratory failure
6M92Not knownCardiovascular disease
COPD
3Cardiorespiratory failure
7F644Malignancy2Cardiorespiratory failure
8M58Not knownPulmonary artery
thrombosis
4Cardiorespiratory failure
9M64Not knownMyelodysplasia4Cardiorespiratory failure
10M823Aortic aneurysm
COPD
5Cardiorespiratory failure
11M76Not knownMalignancy30Cardiorespiratory failure
12M606Malignancy
Hypertension
Kidney disease
Diabetes
COPD
Obesity
29Cardiorespiratory failure
13F70Not knownCardiovascular disease
Diabetes
Psychiatric disorder
43Cardiorespiratory failure
14M76Not knownMalignancy
COPD
Hypertension
Cardiovascular disease
33Cardiorespiratory failure
15F27Not knownHIV infection6Cardiorespiratory failure
16M82Not knownParkinson disease
Hypertension
Transient ischemic attack
Prostate hypertrophy
14Cardiorespiratory failure
17M57Not knownDiabetes1Cardiorespiratory failure
18M86Not knownEndocarditis caused by Staphylococcus aureus
Prostate hypertrophy
Aortic aneurysm
Atrial fibrillation
1Cardiorespiratory failure
19M544NONE16Cardiorespiratory failure
20M355NONE7Cardiorespiratory failure
21M657NONE12Cardiorespiratory failure
22F43Not knownNONE25Cardiorespiratory failure
Patient Number Sex, M/FAge, yOnset of Symptoms, dComorbiditiesDays in Hospital Before DeathPostmortem Cause of Death
1M81Not knownHypertension
Aortomyocardial sclerosis
Ischemic heart disease Cardiomyopathy
Aortic aneurysm
4Cardiorespiratory failure
2F82Not knownDiabetes
Atrioventricular valve prothesis
Atrial fibrillation
COPD
Malignancy
Kidney disease
3Cardiorespiratory failure
3M927COPD 1Cardiorespiratory failure
4F69Not knownSchizophrenia28Cardiorespiratory failure
5F80Not knownCardiovascular disease
Senile dementia
38Cardiorespiratory failure
6M92Not knownCardiovascular disease
COPD
3Cardiorespiratory failure
7F644Malignancy2Cardiorespiratory failure
8M58Not knownPulmonary artery
thrombosis
4Cardiorespiratory failure
9M64Not knownMyelodysplasia4Cardiorespiratory failure
10M823Aortic aneurysm
COPD
5Cardiorespiratory failure
11M76Not knownMalignancy30Cardiorespiratory failure
12M606Malignancy
Hypertension
Kidney disease
Diabetes
COPD
Obesity
29Cardiorespiratory failure
13F70Not knownCardiovascular disease
Diabetes
Psychiatric disorder
43Cardiorespiratory failure
14M76Not knownMalignancy
COPD
Hypertension
Cardiovascular disease
33Cardiorespiratory failure
15F27Not knownHIV infection6Cardiorespiratory failure
16M82Not knownParkinson disease
Hypertension
Transient ischemic attack
Prostate hypertrophy
14Cardiorespiratory failure
17M57Not knownDiabetes1Cardiorespiratory failure
18M86Not knownEndocarditis caused by Staphylococcus aureus
Prostate hypertrophy
Aortic aneurysm
Atrial fibrillation
1Cardiorespiratory failure
19M544NONE16Cardiorespiratory failure
20M355NONE7Cardiorespiratory failure
21M657NONE12Cardiorespiratory failure
22F43Not knownNONE25Cardiorespiratory failure

Abbreviation: COPD, chronic obstructive pulmonary disease.

Table 2.

Demographics, Comorbidities, Duration of Hospital Stay, and Autopsy Cause of Death

Patient Number Sex, M/FAge, yOnset of Symptoms, dComorbiditiesDays in Hospital Before DeathPostmortem Cause of Death
1M81Not knownHypertension
Aortomyocardial sclerosis
Ischemic heart disease Cardiomyopathy
Aortic aneurysm
4Cardiorespiratory failure
2F82Not knownDiabetes
Atrioventricular valve prothesis
Atrial fibrillation
COPD
Malignancy
Kidney disease
3Cardiorespiratory failure
3M927COPD 1Cardiorespiratory failure
4F69Not knownSchizophrenia28Cardiorespiratory failure
5F80Not knownCardiovascular disease
Senile dementia
38Cardiorespiratory failure
6M92Not knownCardiovascular disease
COPD
3Cardiorespiratory failure
7F644Malignancy2Cardiorespiratory failure
8M58Not knownPulmonary artery
thrombosis
4Cardiorespiratory failure
9M64Not knownMyelodysplasia4Cardiorespiratory failure
10M823Aortic aneurysm
COPD
5Cardiorespiratory failure
11M76Not knownMalignancy30Cardiorespiratory failure
12M606Malignancy
Hypertension
Kidney disease
Diabetes
COPD
Obesity
29Cardiorespiratory failure
13F70Not knownCardiovascular disease
Diabetes
Psychiatric disorder
43Cardiorespiratory failure
14M76Not knownMalignancy
COPD
Hypertension
Cardiovascular disease
33Cardiorespiratory failure
15F27Not knownHIV infection6Cardiorespiratory failure
16M82Not knownParkinson disease
Hypertension
Transient ischemic attack
Prostate hypertrophy
14Cardiorespiratory failure
17M57Not knownDiabetes1Cardiorespiratory failure
18M86Not knownEndocarditis caused by Staphylococcus aureus
Prostate hypertrophy
Aortic aneurysm
Atrial fibrillation
1Cardiorespiratory failure
19M544NONE16Cardiorespiratory failure
20M355NONE7Cardiorespiratory failure
21M657NONE12Cardiorespiratory failure
22F43Not knownNONE25Cardiorespiratory failure
Patient Number Sex, M/FAge, yOnset of Symptoms, dComorbiditiesDays in Hospital Before DeathPostmortem Cause of Death
1M81Not knownHypertension
Aortomyocardial sclerosis
Ischemic heart disease Cardiomyopathy
Aortic aneurysm
4Cardiorespiratory failure
2F82Not knownDiabetes
Atrioventricular valve prothesis
Atrial fibrillation
COPD
Malignancy
Kidney disease
3Cardiorespiratory failure
3M927COPD 1Cardiorespiratory failure
4F69Not knownSchizophrenia28Cardiorespiratory failure
5F80Not knownCardiovascular disease
Senile dementia
38Cardiorespiratory failure
6M92Not knownCardiovascular disease
COPD
3Cardiorespiratory failure
7F644Malignancy2Cardiorespiratory failure
8M58Not knownPulmonary artery
thrombosis
4Cardiorespiratory failure
9M64Not knownMyelodysplasia4Cardiorespiratory failure
10M823Aortic aneurysm
COPD
5Cardiorespiratory failure
11M76Not knownMalignancy30Cardiorespiratory failure
12M606Malignancy
Hypertension
Kidney disease
Diabetes
COPD
Obesity
29Cardiorespiratory failure
13F70Not knownCardiovascular disease
Diabetes
Psychiatric disorder
43Cardiorespiratory failure
14M76Not knownMalignancy
COPD
Hypertension
Cardiovascular disease
33Cardiorespiratory failure
15F27Not knownHIV infection6Cardiorespiratory failure
16M82Not knownParkinson disease
Hypertension
Transient ischemic attack
Prostate hypertrophy
14Cardiorespiratory failure
17M57Not knownDiabetes1Cardiorespiratory failure
18M86Not knownEndocarditis caused by Staphylococcus aureus
Prostate hypertrophy
Aortic aneurysm
Atrial fibrillation
1Cardiorespiratory failure
19M544NONE16Cardiorespiratory failure
20M355NONE7Cardiorespiratory failure
21M657NONE12Cardiorespiratory failure
22F43Not knownNONE25Cardiorespiratory failure

Abbreviation: COPD, chronic obstructive pulmonary disease.

Autopsy and Microscopic Examination

Lung Findings

Macroscopic Findings.

Lungs from all patients were increased in volume, firm, edematous, and congested with diffuse pleural thickening and pleural effusion. Cut surface showed consolidation of lobes and red congested areas, with thickening of the interstitial septa and pulmonary edema (Figure 1A1). Subsegmental pulmonary embolism was seen in 5 cases.

Pathological findings in lung. A1, Lungs showed an increase in volume and were firmer and heavier than normal. A2 and A3, Light microscopic analysis shows parenchymal multifocal damage with intraalveolar inflammation, fibrin, and hyaline membranes consistent with a diagnosis of diffuse alveolar damage. Both acute exudative inflammatory process and fibrous proliferative phase were found. A3 and A4, Hyperplasia of type II pneumocyte, characterized by amphophilic cytoplasm, large nuclei, and prominent nucleoli, are shown (arrows). B1, Alveolar duct fibrosis. B2, Fibrin thrombi in capillaries. B3, Vascular injury including vessel vasculitis and vascular edema. B4, Pleural fibrosis. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A2, 14 µm; A3–B3, 7 µm; B4, 21 µm.
Figure 1.

Pathological findings in lung. A1, Lungs showed an increase in volume and were firmer and heavier than normal. A2 and A3, Light microscopic analysis shows parenchymal multifocal damage with intraalveolar inflammation, fibrin, and hyaline membranes consistent with a diagnosis of diffuse alveolar damage. Both acute exudative inflammatory process and fibrous proliferative phase were found. A3 and A4, Hyperplasia of type II pneumocyte, characterized by amphophilic cytoplasm, large nuclei, and prominent nucleoli, are shown (arrows). B1, Alveolar duct fibrosis. B2, Fibrin thrombi in capillaries. B3, Vascular injury including vessel vasculitis and vascular edema. B4, Pleural fibrosis. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A2, 14 µm; A3B3, 7 µm; B4, 21 µm.

Microscopic Findings.

A range of common lung findings were seen on light microscopy. Parenchymal multifocal damage with intraalveolar exudative and proliferative inflammation (Figure 1A2), with fibrin, hyaline membranes (Figure 1A3) consistent with a diagnosis of diffuse alveolar damage (Table 3). Organizing pneumonia with fibrosis and type II pneumocyte hyperplasia, amphophilic cytoplasm, large nuclei, and prominent nucleoli, were indicative of cytopathic virus-induced changes (Figure 1A3 and 1A4). Fibroblastic foci consisting of loose organizing connective tissue reflective of alveolar duct fibrosis were seen (fibrotic phase) (Figure 1B1). Other findings included: pleural fibrosis (Figure 1B4), vascular injury with thrombi (Figure 1B2), and vasculitis (Figure 1B3). A main feature was the presence of numerous inflammatory cells consisting of granulocytes (CD15+) (Supplementary Figure 1A1 and 1A2), macrophages (CD68+) (Supplementary Figure 1A3 and 1A4), and T lymphocytes (CD3+) infiltrating into alveolar septa and clustering around capillary vessels (Supplementary 1B1). Immunohistochemistry showed the presence of both CD4+ and CD8+ T lymphocytes (Supplementary Figure 1B2 and 1B3). Of note, lymphocytes were CD20 indicating an absence of infiltrating B lymphocytes. Thrombi were present and immunohistochemistry showed the presence of platelet aggregates and megakaryocytes within thrombi (Supplementary Figure 1B4).

Table 3.

Histopathology Findings

FindingsGroup 1, No. (%) (n = 18)Group 2, No. (%) (n = 4)
Lung
 Hyaline membranes8 (44.4)2 (50.0)
 Hyperplasia of type II pneumocyte11 (61.2)4 (100)
 Alveolar plug8 (44.4)4 (100)
 Alveolar fibrin deposit 9 (50.0)3 (75.0)
 Hemorrhage10 (55.6)2 (50.0)
 Inflammatory cells13 (72.3)4 (100)
 Diffuse alveolar damage, fibrotic phase 12 (66.7)1 (25.0)
 Microthrombi14 (77.8)2 (50.0)
 Vasculitis8 (44.4)4 (100)
 Multinucleated giant cells 4 (22.3)2 (50.0)
Cardiac
 Myocarditis 9 (50.0)3 (75.0)
 Vasculitis 5 (27.8)3 (75.0)
 Inflammatory infiltrate13 (72.3)3 (75.0)
 Focal necrosis6 (33.4)2 (50.0)
 Pericarditis9 (50.0)4 (100)
 Vascular fibrosis4 (22.3)2 (50.0)
Hepatic
 Inflammatory infiltrate8 (44.4)3 (75.0)
 Congestion8 (44.4)2 (50.0)
 Steatosis9 (50.0)3 (75.0)
Renal
 Inflammatory infiltrate9 (50.0)3 (75.0)
 Glomerulosclerosis 9 (50.0)3 (75.0)
 Interstitial fibrosis9 (50.0)4 (100)
Splenic
 Congested red pulp 15 (83.4)4 (100)
 Lymphoid hypoplasia11 (61.2)4 (100)
Bone marrow
 Megakaryocytes hyperplasia02 (50.0)
 Adipocytes7 (38.9)1 (25.0)
FindingsGroup 1, No. (%) (n = 18)Group 2, No. (%) (n = 4)
Lung
 Hyaline membranes8 (44.4)2 (50.0)
 Hyperplasia of type II pneumocyte11 (61.2)4 (100)
 Alveolar plug8 (44.4)4 (100)
 Alveolar fibrin deposit 9 (50.0)3 (75.0)
 Hemorrhage10 (55.6)2 (50.0)
 Inflammatory cells13 (72.3)4 (100)
 Diffuse alveolar damage, fibrotic phase 12 (66.7)1 (25.0)
 Microthrombi14 (77.8)2 (50.0)
 Vasculitis8 (44.4)4 (100)
 Multinucleated giant cells 4 (22.3)2 (50.0)
Cardiac
 Myocarditis 9 (50.0)3 (75.0)
 Vasculitis 5 (27.8)3 (75.0)
 Inflammatory infiltrate13 (72.3)3 (75.0)
 Focal necrosis6 (33.4)2 (50.0)
 Pericarditis9 (50.0)4 (100)
 Vascular fibrosis4 (22.3)2 (50.0)
Hepatic
 Inflammatory infiltrate8 (44.4)3 (75.0)
 Congestion8 (44.4)2 (50.0)
 Steatosis9 (50.0)3 (75.0)
Renal
 Inflammatory infiltrate9 (50.0)3 (75.0)
 Glomerulosclerosis 9 (50.0)3 (75.0)
 Interstitial fibrosis9 (50.0)4 (100)
Splenic
 Congested red pulp 15 (83.4)4 (100)
 Lymphoid hypoplasia11 (61.2)4 (100)
Bone marrow
 Megakaryocytes hyperplasia02 (50.0)
 Adipocytes7 (38.9)1 (25.0)
Table 3.

Histopathology Findings

FindingsGroup 1, No. (%) (n = 18)Group 2, No. (%) (n = 4)
Lung
 Hyaline membranes8 (44.4)2 (50.0)
 Hyperplasia of type II pneumocyte11 (61.2)4 (100)
 Alveolar plug8 (44.4)4 (100)
 Alveolar fibrin deposit 9 (50.0)3 (75.0)
 Hemorrhage10 (55.6)2 (50.0)
 Inflammatory cells13 (72.3)4 (100)
 Diffuse alveolar damage, fibrotic phase 12 (66.7)1 (25.0)
 Microthrombi14 (77.8)2 (50.0)
 Vasculitis8 (44.4)4 (100)
 Multinucleated giant cells 4 (22.3)2 (50.0)
Cardiac
 Myocarditis 9 (50.0)3 (75.0)
 Vasculitis 5 (27.8)3 (75.0)
 Inflammatory infiltrate13 (72.3)3 (75.0)
 Focal necrosis6 (33.4)2 (50.0)
 Pericarditis9 (50.0)4 (100)
 Vascular fibrosis4 (22.3)2 (50.0)
Hepatic
 Inflammatory infiltrate8 (44.4)3 (75.0)
 Congestion8 (44.4)2 (50.0)
 Steatosis9 (50.0)3 (75.0)
Renal
 Inflammatory infiltrate9 (50.0)3 (75.0)
 Glomerulosclerosis 9 (50.0)3 (75.0)
 Interstitial fibrosis9 (50.0)4 (100)
Splenic
 Congested red pulp 15 (83.4)4 (100)
 Lymphoid hypoplasia11 (61.2)4 (100)
Bone marrow
 Megakaryocytes hyperplasia02 (50.0)
 Adipocytes7 (38.9)1 (25.0)
FindingsGroup 1, No. (%) (n = 18)Group 2, No. (%) (n = 4)
Lung
 Hyaline membranes8 (44.4)2 (50.0)
 Hyperplasia of type II pneumocyte11 (61.2)4 (100)
 Alveolar plug8 (44.4)4 (100)
 Alveolar fibrin deposit 9 (50.0)3 (75.0)
 Hemorrhage10 (55.6)2 (50.0)
 Inflammatory cells13 (72.3)4 (100)
 Diffuse alveolar damage, fibrotic phase 12 (66.7)1 (25.0)
 Microthrombi14 (77.8)2 (50.0)
 Vasculitis8 (44.4)4 (100)
 Multinucleated giant cells 4 (22.3)2 (50.0)
Cardiac
 Myocarditis 9 (50.0)3 (75.0)
 Vasculitis 5 (27.8)3 (75.0)
 Inflammatory infiltrate13 (72.3)3 (75.0)
 Focal necrosis6 (33.4)2 (50.0)
 Pericarditis9 (50.0)4 (100)
 Vascular fibrosis4 (22.3)2 (50.0)
Hepatic
 Inflammatory infiltrate8 (44.4)3 (75.0)
 Congestion8 (44.4)2 (50.0)
 Steatosis9 (50.0)3 (75.0)
Renal
 Inflammatory infiltrate9 (50.0)3 (75.0)
 Glomerulosclerosis 9 (50.0)3 (75.0)
 Interstitial fibrosis9 (50.0)4 (100)
Splenic
 Congested red pulp 15 (83.4)4 (100)
 Lymphoid hypoplasia11 (61.2)4 (100)
Bone marrow
 Megakaryocytes hyperplasia02 (50.0)
 Adipocytes7 (38.9)1 (25.0)
Immunohistochemistry Findings.

T-cell activation is modulated by dipeptidyl peptidase-4 (DPP4) [16] and thus the expression of CD26/DPP4 and CXCR3/CD183 was analyzed on lung tissues from group 2 patients (Figure 2). Numerous CD26+ cells were found in the alveolar septa (Figure 2A1–2A3) with intense staining seen in the type II pneumocytes (Figure 2A3). Positive cells entrapped with fibrin clots in the vascular lumen were also observed (Figure 2A4). CXCR3 immunostaining showed lymphocytes localized in inflammatory perivascular aggregates (Figure 2B1, 2B2, and 2B4) which spread into alveolar septa and alveolar spaces (Figure 2B2 and 2B3).

Immunohistological characterization of lung tissue. A1–A4, CD26/dipeptidyl peptidase-4 expression in lung tissue. Numerous strongly positive CD26+ cells are seen in the alveolar septa. A3, Intense staining is seen in the type II pneumocytes (arrows). A4, Positive cells are also seen entrapped with fibrin in the vascular lumen. B1–B4, CXCR3/CD183 immunostaining shows intense staining of lymphocytes localized in the inflammatory perivascular aggregates and spread into alveolar septa and alveolar spaces. Scale bars: A1 and B1, 100 µm; A2, A3, and B4, 7 µm; A4, B2, and B3, 14 µm.
Figure 2.

Immunohistological characterization of lung tissue. A1A4, CD26/dipeptidyl peptidase-4 expression in lung tissue. Numerous strongly positive CD26+ cells are seen in the alveolar septa. A3, Intense staining is seen in the type II pneumocytes (arrows). A4, Positive cells are also seen entrapped with fibrin in the vascular lumen. B1B4, CXCR3/CD183 immunostaining shows intense staining of lymphocytes localized in the inflammatory perivascular aggregates and spread into alveolar septa and alveolar spaces. Scale bars: A1 and B1, 100 µm; A2, A3, and B4, 7 µm; A4, B2, and B3, 14 µm.

Electron Microscopic Findings.

SARS-CoV-2 particles were detected within type II pneumocytes, which showed degenerating features characterized by fine and uniformly dispersed chromatin. These pneumocytes displayed swollen mitochondrial profiles and dilated rough endoplasmic reticulum (Figure 3). Numerous virus-containing compartments (VCC) of different sizes and shapes were detected (Figure 3A, 3B, and 3D). Interestingly, spherules, very small vesicles containing single viral particles (Figure 3B and 3C), were also observed.

SARS-CoV-2 detection in lung tissue by transmission electron microscopy. A, SARS-CoV-2 particles are visible in virus-containing compartments in type II pneumocytes (arrows). B–D, Numerous viral particles are enclosed in single-membrane vacuoles (arrow). Other, very small vesicles contain single viral particles (arrowheads). Scale bars: A, 1 µm; B–D, 200nm.
Figure 3.

SARS-CoV-2 detection in lung tissue by transmission electron microscopy. A, SARS-CoV-2 particles are visible in virus-containing compartments in type II pneumocytes (arrows). BD, Numerous viral particles are enclosed in single-membrane vacuoles (arrow). Other, very small vesicles contain single viral particles (arrowheads). Scale bars: A, 1 µm; BD, 200nm.

Heart Findings

Macroscopic Findings.

The hearts in all group 1 and 2 patients showed increased size and weight, hypertrophy, and dilation of the left and right atria and ventricles. The myocardium appeared pale and flabby, and endocardium showed punctuate petechial hemorrhages (Figure 4A1). Some patients in group 1 had pathological changes that were related to the patient’s age. These included myocardial ischemic or inflammatory changes, hypertensive changes of the left ventricular cavity, and valvular calcification of the mitral annulus and aortic valve (Figure 4A2).

Histological changes in heart. A1, Hearts were increased in size and weight. The myocardium appeared pale and flabby. Endocardium showed punctuate petechial hemorrhages. A2, Age-related disease of the heart was represented by volume changes of the left ventricular cavity and exacerbated by systemic hypertension with valve changes including calcification of the mitral annulus and aortic valve. A3 and A4, Heart tissue shows myocytes hypertrophy, and variable degrees of interstitial and vascular fibrosis with mononuclear cells infiltrating adventitia. B1, Active myocarditis was characterized by mononuclear, predominantly lymphocytic infiltrate, associated with focal myocytes necrosis (B2). B3, Fibrinous, hemorrhagic areas with myofibers disarray were present. B4, Pericarditis with lymphocytic infiltration and increase in fibrous tissue was seen in all patients. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A3 and B4, 21 µm; A4–B2,7 µm; B3, 14 µm.
Figure 4.

Histological changes in heart. A1, Hearts were increased in size and weight. The myocardium appeared pale and flabby. Endocardium showed punctuate petechial hemorrhages. A2, Age-related disease of the heart was represented by volume changes of the left ventricular cavity and exacerbated by systemic hypertension with valve changes including calcification of the mitral annulus and aortic valve. A3 and A4, Heart tissue shows myocytes hypertrophy, and variable degrees of interstitial and vascular fibrosis with mononuclear cells infiltrating adventitia. B1, Active myocarditis was characterized by mononuclear, predominantly lymphocytic infiltrate, associated with focal myocytes necrosis (B2). B3, Fibrinous, hemorrhagic areas with myofibers disarray were present. B4, Pericarditis with lymphocytic infiltration and increase in fibrous tissue was seen in all patients. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A3 and B4, 21 µm; A4B2,7 µm; B3, 14 µm.

Microscopic Findings.

Microscopic changes seen were hypertrophy of myocytes and variable degrees of interstitial and vascular fibrosis (Figure 4A3 and 4A4). Mononuclear cells infiltrating adventitia was found predominantly in group 2 patients (Figure 4A4). Active myocarditis (Figure 4B1) characterized by mononuclear, predominantly lymphocytic, infiltrate, and was associated with focal myocytes necrosis (Figure 4B2), fibrinous, and hemorrhagic areas with myofibers disarray (Figure 4B3). Pericarditis (fibrinous or fibrous) was seen mainly in group 2 patients (Figure 4B4).

Liver, Kidney, Spleen, and Bone Marrow Findings

Liver.

Macroscopic inspection of the liver of all patients showed parenchyma congestion. The main findings at histological level were sinusoidal congestion and extravasation of red blood cells into the space of Disse (Figure 5A1) and in a few cases this was associated with congestion of small veins and hepatocyte necrosis (Figure 5A2 and 5A3) and infiltration (Figure 5A4). Macrovacuolar and microvacuolar steatosis was seen mostly in group 2 patients (Figure 5A1, 5A2, and 5A4, and Table 3).

Pathological findings in liver and kidney. A1, Liver tissue shows sinusoidal congestion and extravasation of red blood cells into the space of Disse. In some cases, small vein congestion (A2) and hepatic necrosis (A3) were reported. A4, Inflammatory infiltration was observed. A1, A2, and A4, Macrovacuolar and microvacuolar steatosis were observed in the majority of cases. B1, Kidney glomerular endothelial cells were swollen. B2, Fibrin deposit is visible underneath the Bowman capsule. B3, Tubulointerstitial inflammation and (B4) glomerular sclerosis were observed. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A1–A4, and B3, 50 µm; B1, B2, and B4, 14 µm
Figure 5.

Pathological findings in liver and kidney. A1, Liver tissue shows sinusoidal congestion and extravasation of red blood cells into the space of Disse. In some cases, small vein congestion (A2) and hepatic necrosis (A3) were reported. A4, Inflammatory infiltration was observed. A1, A2, and A4, Macrovacuolar and microvacuolar steatosis were observed in the majority of cases. B1, Kidney glomerular endothelial cells were swollen. B2, Fibrin deposit is visible underneath the Bowman capsule. B3, Tubulointerstitial inflammation and (B4) glomerular sclerosis were observed. Abbreviation: H&E, haematoxylin and eosin. Scale bars: A1A4, and B3, 50 µm; B1, B2, and B4, 14 µm

Kidney.

The kidneys of all patients generally had normal shape with reduced volume and size. Outer surfaces showed reddish depressions. Histological examination showed interstitial fibrosis, mainly in group 2 patients (Figure 5B1), with swollen glomerular endothelial cells. Fibrin deposits were visible underneath the Bowman capsule (Figure 5B2). Chronic tubular-interstitial inflammation (Figure 5B3) and glomerular sclerosis were observed (Figure 5B4) even in patients without a history of previous kidney disease (Table 3).

Spleen.

The spleens of all patients had normal shape but reduced volume and size. The splenic white pulps of all 4 of the group 2 cases showed lymphoid hypoplasia with congested red pulp (Figure 6A1 and 6A2), and Table 3).

Histology of spleen and bone marrow. A1 and A2, Lymphoid hypoplasia is visible in the splenic white pulp. B1 and B2, Bone marrows tissue shows replacement of red hematopoietic bone marrow with yellow adipocyte-rich marrow. Megakaryocyte hyperplasia is observed (arrows). Abbreviation: H&E, haematoxylin and eosin. C1, Macrophages (CD68+) are present in bone marrow tissue. C2, CD68+ cells displaying features of hemophagocytosis (arrow). Scale bars: A1, A2, B2–C2, 7 µm; B1, 100 µm.
Figure 6.

Histology of spleen and bone marrow. A1 and A2, Lymphoid hypoplasia is visible in the splenic white pulp. B1 and B2, Bone marrows tissue shows replacement of red hematopoietic bone marrow with yellow adipocyte-rich marrow. Megakaryocyte hyperplasia is observed (arrows). Abbreviation: H&E, haematoxylin and eosin. C1, Macrophages (CD68+) are present in bone marrow tissue. C2, CD68+ cells displaying features of hemophagocytosis (arrow). Scale bars: A1, A2, B2C2, 7 µm; B1, 100 µm.

Bone Marrow.

Microscopic analysis of the bone marrows generally showed replacement of red hematopoietic bone marrow with yellow adipocyte-rich marrow in group 1 patients (Figure 6B1). Megakaryocytes hyperplasia (Figure 6B2) was seen in 2 patients of group 2 (Table 3). Numerous macrophages (CD68+) were seen and they displayed features of hemophagocytosis (Figure 6C1 and 6C2).

Discussion

Whole-body autopsies offer several advantages over limited sampling using biopsies and tissues obtained post mortem [4–7]. Full-body autopsy studies of COVID-19 patients have been few due to several issues of infection control, and logistical and operational reasons. Whole-body autopsy allows examination of most body organs to define the extent of COVID-19 pathology, and also allows adequate tissue to be obtained for further pathological and molecular evaluation and for research purposes. They also allow a more accurate diagnosis to be made and minimize the chances of missing an accurate diagnosis due to sampling error. Supporting the call for action to conduct full autopsies on patients who die of COVID-19 for determining the extent of organ involvement [12, 13], we conducted a comprehensive postmortem full autopsy examination of 22 patients. To our knowledge, our study is the first to report pathological features of 4 cases of COVID-19 who did not have any prior underlying comorbidity or causes of immunosuppression.

Our observations add further information on the pathology examination findings of COVID-19. An initial report from China described histopathological findings in 2 cancer patients with COVID-19, which showed several nonspecific histological changes, edema, fibrinous, proteinaceous exudates, hyperplastic pneumocytes, patchy inflammation, and multinucleated giant cells [4]. A case report, also from China, described findings in a postmortem biopsy specimen which showed diffuse alveolar damage and interstitial mononuclear inflammatory infiltrates [5]. In our autopsy study, we found that COVID-19 predominantly causes acute lung injury and diffuse alveolar damage, which is associated with multisystem involvement and significant pathology across most body organs in patients with and without comorbid disease. All deaths were due to cardiorespiratory failure and all cases had extrapulmonary manifestations. Microvascular injury and thrombosis were also detected. The 4 younger patients without preexisting medical conditions also had similar findings despite absence of comorbidities and displayed all the histopathological hallmarks of widespread vascular injury, including liver, kidney, spleen, and bone marrow involvement.

Our lung pathology findings were similar to those seen in a study of postmortem lung tissues from northern Italy of 33 males and 5 female patients, with an average age of 69 years (range 32–86) [17]. In addition, using electron microscopy we identified viral particles in the cytoplasm of type II pneumocytes—the main target of viral infection [18]. Interestingly, all the histological hallmarks of interstitial pneumonia and capillary damage were prominent in all 22 COVID-19 cases, with T lymphocytes being prominent in vascular infiltrates (vasculitis) and interstitial inflammation.

Clinical studies have indicated that acute respiratory distress syndrome and multiple organ failure are features of severe cases of COVID-19. These are thought to be underpinned by an excessive immune response [19]. In the lung microenvironment, excessive inflammatory cytokine may be caused by immune-pathological changes linked to lymphocytic infiltration. We demonstrated a significant upregulation of the chemokine receptor CXCR3, which is not only responsible for T cells extravasating from blood vessels and migration [20], but it has been also implicated in pulmonary fibrosis [21]. It is thus possible that this is associated with an aberrant type I immune response involving the CXCR3/ligand pathway. In addition, we found intense expression of CD26/DPP4, a protein that plays a key role in T-cell signal transduction processes as a costimulatory molecule, and its expression level is known to correlate with the severity of inflammation [22]. Thus, the CXCR3 cytokine axis could be considered a potential therapeutic target in development of targeted host-directed therapies for COVID-19.

Several publications have shown an association of the severity of the clinical expression of COVID-19 with the number of comorbidities present. Cardiac involvement in severe COVID-19 pathogenesis has been well documented [23], and cardiac risk factors have been identified as risk factors for increased mortality [24]. In our study of the macroscopic and microscopic features of hearts we found several differences between patients with and without comorbidities. The 4 cases without comorbidities showed pronounced pericarditis and inflammatory cells infiltrating adventitia, indicating that the heart can be compromised irrespective of previous cardiovascular disease. Kidney injury has been reported in nearly 30% of COVID-19 patients [25]. We found that histopathological changes in kidney in patients without comorbidities appeared more severe that those with comorbidities. Patients without comorbidities also showed greater hepatic injury. Whether these findings represent liver or kidney damage caused directly by SARS-CoV-2 itself or are a reflection of the consequences of an abnormal and excessive inflammatory response, requires definition [26]. Studies of other viral infections of the respiratory tract have shown that liver injury may be immune mediated or a result of direct cytopathic damage [27].

Our study showed that the spleen and bone marrow were affected in 2 of 4 of our patients without comorbidities. Microscopic analyses of bone marrow showed white pulp lymphoid hypoplasia and megakaryocyte hyperplasia. These hematopoietic organs could be reservoirs of SARS-CoV-2 infection [28] and may directly infect hematopoietic stem/progenitor cells, megakaryocytes, and platelets [29]. Microvascular damage and thrombosis were also a prominent feature in cases with and without comorbidities. This supports the observation that anticoagulant treatment can reduce mortality in COVID-19 [30]. Patients with COVID-19 who do not have comorbidities appear to have similar pathological manifestations as those with comorbidities [31].

There were some limitations of our study. Whilst the COVID-19 cases in our study were from a range of age, sex, and comorbidities, we cannot accurately say our findings are fully representative of COVID-19 pathology in the large numbers who have died in Italy. A range of neurological manifestations of COVID-19 have been reported [32]; however, we were unable to obtain brain tissue in our study. A recent [33] histopathological examination of brain specimens obtained from COVID-19 patients who died up to 32 days after symptom onset found only hypoxic changes and no specific brain changes attributable to SARS-CoV-2. Further pathological examination of brain tissues needs to be performed where cytoplasmic viral staining, immunohistochemical, and electron microscope analysis may shed further light on the neuropathological manifestations of COVID-19. It is important that autopsy studies are given priority. Whole-body complete autopsy studies from across a wide range of geographical background, age, ethnic group, and comorbidities [10, 34, 35] are required to define the pathogenesis and the complete spectrum of pathology in COVID-19.

Supplementary Data

Supplementary materials are available at The Journal of Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Acknowledgments. The authors gratefully acknowledge the excellent support of the National Institute for Infectious Diseases (INMI) pathology team: Alessia Brenna, Marco Canali, Roberta Chiappini, Mario Moauro, Nicolina Rotiroti, and Wilfredo von Lorch, who risked SARS-CoV-2 infection in performing the autopsies and collecting the samples; Professor Sebastian Lucas, emeritus Professor, St Thomas Hospital, London, UK; Roberta Nardacci and Delia Goletti, Professors at Saint Camillus International University of Health and Medical Sciences in Rome; We gratefully acknowledge the assistance of members of the INMI COVID-19 study group (see Supplementary Material).

Financial support. This work was supported in part by Ricerca Corrente (Linea 1 and 3), Finalizzata (grant numbers: COVID-2020-12371675 and COVID-2020-12371675), supported by the Italian Ministry of Health. AIRC (Associazione Italiana per la Ricerca sul Cancro) (grant number IG2018-21880 to M. P. and G. I.); and Regione Lazio Gruppi di Ricerca (grant number E56C18000460002 to M. P.). G. I. and A. Z. receive support from European and Developing Countries Clinical Trials Partnership, Pan-African Network For Rapid Research, Response, Relief and Preparedness for Infectious Disease Epidemics, funded by the European Union Horizon 2020 Framework Programme for Research and Innovation. A. Z. is supported by a National Institutes of Health Research senior investigator award and a Mahathir Foundation Science Award.

Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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Author notes

L. F., R. N., A. Z., G. I., M. P., and F. D. N. contributed equally.

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