Evidence map›Paper›PMID 42702106›Full record

ArticleClinics (Sao Paulo, Brazil)2026

A serum Golgi Protein 73 (GP73)-based model for evaluating inflammation associated with drug-induced liver injury.

Yamei Wei, Mingjie Yao, Mei Zhang, Shuhong Liu, Danli Yang, Ziyuan Ma, Hao Wu, Jingmin Zhao, Fengmin Lu

Abstract read
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Article in Clinics (Sao Paulo, Brazil), 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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5 · Who and what money

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9 authors.

Yamei WeiTianshui Center for Disease Control and Prevention, Qinzhou District, Tianshui, Gansu, China; Department of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Mingjie YaoDepartment of Anatomy and Embryology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China; Hunan Provincial University Key Laboratory of the Fundamental and Clinical Research on Functional Nucleic Acid, Changsha, Hunan, China.
Mei ZhangDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Shuhong LiuDepartment of Pathology and Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Danli YangDepartment of Microbiology & Infectious Disease Center, School of Basic Medicine, Peking University Health Science Center, Beijing, PR China.
Ziyuan MaSchool of Medical Sciences, University of Sydney, Sydney, Australia.
Hao WuDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Jingmin ZhaoDepartment of Pathology and Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China. Electronic address: jmzhao302@163.com.
Fengmin LuDepartment of Microbiology & Infectious Disease Center, School of Basic Medicine, Peking University Health Science Center, Beijing, PR China. Electronic address: lu.fengmin@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic utility of serum Golgi Protein-73 (GP73) in staging hepatic inflammatory activity and evaluating fibrosis in patients with Drug-Induced Liver Injury (DILI).

methodsA retrospective analysis was conducted on 130 patients with DILI who underwent liver biopsy. Patients were categorized according to inflammation grade (G0∼G1: n = 49, G2∼G3: n = 62, G4: n = 19) and fibrosis stages (S0∼S1: n = 24, S2∼S3: n = 45, S4: n = 14). Correlations between GP73 levels and markers of liver inflammation, fibrosis, and biochemical indicators were examined. Logistic regression and ROC curves evaluated diagnostic precision.

resultsSerum GP73 levels exhibited a positive correlation with liver injury markers such as ALT, AST, TBIL, ALP, HA, PC-III, and APRI (p < 0.05), while demonstrating a negative correlation with ALB, CHE, PA, and FIB (p < 0.05). GP73 and ALB were recognized as independent risk factors for hepatic inflammation (p < 0.05). The integrated diagnostic efficacy of GP73 and ALB for moderate (G ≥ 2) and severe inflammation (G ≥ 3) produced AUCs of 0.860 and 0.945, respectively, surpassing those of ALT and AST (AUCs: 0.679, 0.716 and 0.762, 0.805, respectively). When ALT levels were normal, the combined AUCs of GP73 and ALB for diagnosing moderate (G ≥ 2) and severe inflammation (G ≥ 3) were 0.853 and 0.987, respectively. Furthermore, GP73 was identified as an independent predictor of fibrosis (p < 0.05), exhibiting AUCs of 0.707 and 0.856 for moderate and severe fibrosis, respectively, indicating enhanced diagnostic efficacy relative to FIB-4 and APRI.

conclusionGP73 is significantly increased in the serum of patients experiencing drug-induced liver injury. GP73, whether utilized independently or alongside other diagnostic methods, exhibits significant potential for evaluating liver inflammation and fibrosis. Its efficacy in diagnosing liver inflammation exceeds its utility for fibrosis, potentially reducing the necessity for liver biopsy procedures.

Indexed as

Drug-induced liver injuryGP73Liver fibrosisLiver inflammationNon-invasive diagnosis

Identifiers

PMID42702106
PMCPMC13572763

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