Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 626

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

SARS-CoV-2 infection of the liver directly contributes to hepatic impairment in patients with COVID-19

Open access
Wang, Yijin, Liu, Shuhong, Liu, Hongyang, Li, Wei, Lin, Fang, Jiang, Lina, Li, Xi, Xu, Pengfei, Zhang, Lixin, Zhao, Lihua, Cao, Yun, Kang, Jiarui, Yang, Jianfa, Li, Ling, Liu, Xiaoyan, Li, Yan, Nie, Ruifang, Mu, Jinsong, Lu, Fengmin, Zhao, Shousong, Lu, Jiangyang, Zhao, Jingmin·2020·Journal of Hepatology

Abstract

Background & Aims Liver enzyme abnormalities are common in patients with coronavirus disease 2019 (COVID-19). Whether or not severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can lead to liver damage per se remains unknown. Herein, we reported the clinical characteristics and liver pathological manifestations of COVID-19 patients with liver enzyme abnormalities. Methods We analyzed 156 patients diagnosed with COVID-19 from 2 designated centers in China and compared clinical features between patients with or without elevated aminotransferases. Postmortem liver biopsies were obtained from 2 cases who had elevated aminotransferases. We investigated the patterns of liver impairment by electron microscopy, immunohistochemistry, TUNEL assay and pathological studies. Results Sixty-four out of 156 (41.0%) patients with COVID-19 had elevated aminotransferases. The median levels of alanine aminotransferase were 50 U/L vs. 19 U/L, respectively, aspartate aminotransferase were 45.5 U/L vs. 24 U/L, respectively in abnormal and normal aminotransferase groups. Liver enzyme abnormalities were associated with disease severity, as well as a series of laboratory tests including higher alveolar-arterial oxygen partial pressure difference, higher gamma-glutamyltransferase, lower albumin, decreased CD4+ T cells and B lymphocytes. Ultrastructural examination identified typical coronavirus particles, characterized by spike structures, in the cytoplasm of hepatocytes in 2 COVID-19 cases. SARS-CoV-2-infected hepatocytes displayed conspicuous mitochondrial swelling, endoplasmic reticulum dilatation and glycogen granule decrease. Histologically, massive hepatic apoptosis and some binuclear hepatocytes were observed. Taken together, both ultrastructural and histological evidence indicated a typical lesion of viral infection. Immunohistochemical results showed scarce CD4+ and CD8+ lymphocytes. No obvious eosinophil infiltration, cholestasis, fibrin deposition, granuloma, massive central necrosis, or interface hepatitis were observed. Conclusions SARS-CoV-2 infection in the liver directly contributes to hepatic impairment in patients with COVID-19. Hence, a surveillance of viral clearance in liver and long-term outcome of COVID-19 is required. Lay summary Liver enzyme abnormalities are common in patients with coronavirus disease 2019 (COVID-19). We reported the clinical characteristics and liver pathological manifestations of COVID-19 patients with elevated liver enzymes. Our findings suggested that SARS-CoV-2 infection of the liver is a crucial factor contributing to hepatic impairment in patients with COVID-19.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jhep.2020.05.002

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 626

Metadata

Authors
Wang, Y., Liu, S., Liu, H., Li, W., Lin, F., Jiang, L., Li, X., Xu, P., Zhang, L., Zhao, L., Cao, Y., Kang, J., Yang, J., Li, L., Liu, X., Li, Y., Nie, R., Mu, J., Lu, F., Zhao, S., Lu, J., & Zhao, J.
Venue
Journal of Hepatology
Publisher
Elsevier BV
Published
2020-10
Volume
73
Issue
4
Pages
807-816
ISSN
0168-8278 (ISSN-L)
OpenAlex
W3023986730
Cited by
626
References
4
FWCI
16.02
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: SARS-CoV-2 infection of the liver directly contributes to hepatic impairment in patients with COVID-19. https://app.cochat.ai/papers/10.1016/j.jhep.2020.05.002
The paper
Wang, Y., Liu, S., Liu, H., Li, W., Lin, F., Jiang, L., Li, X., Xu, P., Zhang, L., Zhao, L., Cao, Y., Kang, J., Yang, J., Li, L., Liu, X., Li, Y., Nie, R., Mu, J., Lu, F., . . . Zhao, J. (2020). SARS-CoV-2 infection of the liver directly contributes to hepatic impairment in patients with COVID-19. Journal of Hepatology. https://doi.org/10.1016/j.jhep.2020.05.002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.