Zhang JW. Genetic intersection of human leukocyte antigen-DP/DQ and hepatitis B virus-related liver disease: Insights from a multi-clustering study. World J Gastroenterol 2025; 31(16): 102511 [DOI: 10.3748/wjg.v31.i16.102511]
Corresponding Author of This Article
Jin-Wei Zhang, State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, No. 345 Lingling Road, Shanghai 200032, China. jinweizhang@sioc.ac.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Apr 28, 2025; 31(16): 102511 Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.102511
Genetic intersection of human leukocyte antigen-DP/DQ and hepatitis B virus-related liver disease: Insights from a multi-clustering study
Jin-Wei Zhang
Jin-Wei Zhang, State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
Jin-Wei Zhang, Institute of Biomedical and Clinical Sciences, Medical School, Faculty of Health and Life Sciences, University of Exeter, Hatherly Laboratories, Streatham Campus, Exeter EX4 4PS, United Kingdom
Author contributions: Zhang JW designed the overall concept and outline of the manuscript, contributed to the discussion and design of the manuscript, the writing and editing of the manuscript, illustrations, and review of the literature.
Supported by National Natural Science Foundation of China, No. 82170406 and No. 81970238.
Conflict-of-interest statement: The author reports no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jin-Wei Zhang, State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, No. 345 Lingling Road, Shanghai 200032, China. jinweizhang@sioc.ac.cn
Received: October 21, 2024 Revised: February 22, 2025 Accepted: March 21, 2025 Published online: April 28, 2025 Processing time: 188 Days and 22.8 Hours
Abstract
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.
Core Tip: This article provides a comprehensive analysis of Nguyen et al’s innovative study on human leukocyte antigen-DP/DQ polymorphisms and hepatitis B virus-related liver diseases in Vietnam. The study employs sophisticated multi-clustering methodologies to uncover critical genetic markers associated with disease progression. The identification of protective and risk-associated haplotypes, combined with machine learning applications, presents new opportunities for personalized therapeutic interventions and risk stratification in hepatitis B virus-related complications.
