Evidence map›Paper›PMID 41814177›Full record

ArticleBMC gastroenterology2026

Autoantibody profiles and fibrosis indices across HBV-related disease stages: a retrospective laboratory-based study in a tertiary hospital in China.

Hui Chen, Zhou Zhang, Shuo Jiang, Guojun Zheng, Zhen Zhu

Abstract read
In one paragraph

Article in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hui Chen *Center of Medical Laboratory, Changzhou Third People's Hospital, Changzhou, Jiangsu, China.
Zhou Zhang *Department of Clinical Laboratory, Xishan People's Hospital of Wuxi City, Xishan Clinical Medical School, Kangda College of Nanjing Medical University, Wuxi, Jiangsu, China.
Shuo JiangCenter of Medical Laboratory, Changzhou Third People's Hospital, Changzhou, Jiangsu, China.
Guojun ZhengCenter of Medical Laboratory, Changzhou Third People's Hospital, Changzhou, Jiangsu, China. immu_zheng@126.com.
Zhen ZhuCenter of Medical Laboratory, Changzhou Third People's Hospital, Changzhou, Jiangsu, China. jsczzz_hi@126.com.

Funding

Changzhou Sci&Tech Program No. CJ20220226the Science and Technology Project of Changzhou Municipal Health Commission No. QN202238the Science Foundation of Kangda College of Nanjing Medical University No. KD2025KYJJ209
6 · The paper itself

Abstract

backgroundChronic hepatitis B (HBV) is frequently accompanied by immune dysregulation, and autoantibodies are intermittently detected in clinical practice. However, the clinical significance of autoantibody positivity across different HBV-related disease stages and its relationship with non-invasive fibrosis indices remains unclear.

methodsWe retrospectively analyzed 151 patients with HBV-related liver disease, including chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC). Antinuclear antibodies (ANA) and extended autoantibody profiles were evaluated together with the aspartate aminotransferase–to–platelet ratio index (APRI) and fibrosis-4 index (FIB-4). Clinical and laboratory parameters were compared across disease groups, and receiver operating characteristic (ROC) curves were constructed to assess the diagnostic performance of APRI and FIB-4 for identifying advanced liver disease.

resultsANA positivity increased progressively from CHB to LC and HCC, whereas extended autoimmune liver–specific autoantibodies remained rare across all stages. APRI and FIB-4 showed stepwise elevation with advancing disease severity, with FIB-4 demonstrating better diagnostic performance for advanced liver disease. ANA positivity showed no significant association with fibrosis indices, suggesting that these features may reflect distinct aspects of disease-related immune dysregulation.

conclusionANA positivity in chronic HBV infection appears to primarily reflect nonspecific immune activation rather than true autoimmune liver disease. FIB-4 provides practical and readily available information for identifying advanced liver disease, particularly in settings where liver biopsy or elastography is unavailable. Consideration of autoantibody patterns in conjunction with fibrosis indices may aid laboratory interpretation and support more informed clinical assessment in HBV-related liver disease.

Indexed as

Antibodies, AntinuclearAutoantibodiesCarcinoma, HepatocellularHepatitis B, ChronicLiver CirrhosisLiver NeoplasmsAdultAgedAspartate AminotransferasesBiomarkersChinaFemaleHumansMaleMiddle AgedPlatelet CountAntibodies, AntinuclearAspartate AminotransferasesAutoantibodiesBiomarkersAntinuclear antibodyAPRIAutoantibodiesChronic hepatitis BFIB-4Hepatocellular carcinoma.Liver fibrosis

Identifiers

PMID41814177
PMCPMC13088563

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.