Publication:
Identification and validation of plasma AGRN as a novel diagnostic biomarker of hepatitis B Virus-related chronic hepatitis and liver fibrosis/cirrhosisy

dc.contributor.authorAi, Rong
dc.contributor.authorLi, Lu
dc.contributor.authorYuan, Xiwei
dc.contributor.authorZhao, Dandan
dc.contributor.authorMiao, Tongguo
dc.contributor.authorGuan, Weiwei
dc.contributor.authorDong, Shiming
dc.contributor.authorDong, Chen
dc.contributor.authorDou, Yao
dc.contributor.authorHou, Mengmeng
dc.contributor.authorNan, Yuemin
dc.date.accessioned2024-07-17T10:13:27Z
dc.date.available2024-07-17T10:13:27Z
dc.date.issued2024
dc.description.abstractObjective. The aim of this study was to find novel biomarkers and develop a non-invasive, effective diagnostic model for hepatitis B Virus-related chronic hepatitis and liver fibrosis/cirrhosis. Method. Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to assess the expression of differentially expressed genes (AGRN, JAG1, CCL5, ID3, CCND1, and CAPN2) in peripheral blood mononuclear cells (PBMCs) from healthy subjects, chronic hepatitis B (CHB), and liver fibrosis/cirrhosis (LF/LC) patients. The molecular mechanisms underlying AGRN-regulated CHB were further explored and verified in LX2 cells, in which small interfering RNA (siRNA) was used to block AGRN gene expression. Finally, enzyme-linked Immunosorbent Assay (ELISA) was used to measure AGRN protein expression in 100 healthy volunteers, 100 CHB patients, and 100 LF/LC patients, and the efficacy of the diagnostic model was assessed by the Area Under the Curve (AUC). Results. AGRN mRNA displayed a steady rise in the PBMCs of normal, CHB, and LF/LC patients. Besides, AGRN expression was markedly elevated in activated LX2 cells, whereas the expression of COL1 and α-SMA decreased when AGRN was inhibited using siRNA. In addition, downregulation of AGRN can reduce the gene expression of β-catenin and c-MYC while upregulating the expression of GSK-3β. Furthermore, PLT and AGRN were used to develop a non-invasive diagnostic model (PA). To identify CHB patients from healthy subjects, the AUC of the PA model was 0.951, with a sensitivity of 87.0% and a specificity of 91.0%. The AUC of the PA model was 0.922 with a sensitivity of 82.0% and a specificity of 90.0% when differentiating between LF/LC and CHB patients. Conclusion. The current study indicated that AGRN could be a potential plasma biomarker and the established PA model could improve the diagnostic accuracy for HBV-related liver diseases.es
dc.formatapplication/pdfes
dc.format.extent8es
dc.identifier.citationHistology and Histopathology, Vol.39, nº8, (2024)
dc.identifier.doihttps://doi.org/10.14670/HH-18-695
dc.identifier.issn1699-5848
dc.identifier.issn0213-3911
dc.identifier.urihttp://hdl.handle.net/10201/143163
dc.languageenges
dc.publisherUniversidad de Murcia. Departamento de Biología Celular e Histologíaes
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBiomarkeres
dc.subjectHBV-associated liver diseaseses
dc.subjectChronic hepatitis Bes
dc.subjectLiver fibrosis/cirrhosises
dc.subjectAGRNes
dc.subject.otherCDU::6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncologíaes
dc.titleIdentification and validation of plasma AGRN as a novel diagnostic biomarker of hepatitis B Virus-related chronic hepatitis and liver fibrosis/cirrhosisyes
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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