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作 者:Jin-Wei Zhang
机构地区:[1]State Key Laboratory of Chemical Biology,Shanghai Institute of Organic Chemistry,Chinese Academy of Sciences,Shanghai 200032,China [2]Institute of Biomedical and Clinical Sciences,Medical School,Faculty of Health and Life Sciences,University of Exeter,Hatherly Laboratories,Streatham Campus,Exeter EX44PS,United Kingdom
出 处:《World Journal of Gastroenterology》2025年第16期101-103,共3页世界胃肠病学杂志(英文)
基 金:Supported by National Natural Science Foundation of China,No.82170406 and No.81970238.
摘 要:Hepatitis B virus infection remains a significant global health challenge,particularly in endemic regions like Vietnam.This article examines the groundbreaking study by Nguyen et al,which investigates the relationship between human leukocyte antigen-DP/DQ polymorphisms and hepatitis B virus-related liver disease progression.Through advanced multi-clustering analysis,the study reveals that the A-A-A haplotype(rs2856718-rs3077-rs9277535)provides protection against disease progression,while the G-G-G haplotype correlates with increased hepatocellular carcinoma susceptibility.The integration of machine learning approaches with genetic data offers promising avenues for refined disease prediction and personalized therapeutic strategies.This article discusses the implications for expanding study populations,implementing longitudinal cohort studies,and leveraging artificial intelligence for improved patient outcomes.
关 键 词:Human leukocyte antigen Hepatitis B virus Hepatocellular carcinoma CIRRHOSIS Single nucleotide polymorphism Multi-clustering analysis VIETNAM
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