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Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection

BACKGROUND AND AIM: Chronic hepatitis B (CHB) can be divided into immune tolerance (IT), immune clearance (IC), hepatitis B e antigen (HBeAg)-negative inactive/quiescent carrier (ENQ), and HBeAg-negative hepatitis (ENH) phases. The conventional biomarkers used to distinguish these phases have limita...

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Autores principales: Wu, Weikang, Yuan, Xiaojie, Zhang, Weilu, Zhou, Haowei, Kong, Xiangyu, He, Zhen, Fu, Ting, Zhang, Wenhua, Jia, Wenling, Liang, Chunhui, Tang, Haitao, Wang, Fengmei, Ye, Yancheng, Shao, Zhongjun, Ji, Zhaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650535/
https://www.ncbi.nlm.nih.gov/pubmed/36388269
http://dx.doi.org/10.3389/fpubh.2022.1037508
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author Wu, Weikang
Yuan, Xiaojie
Zhang, Weilu
Zhou, Haowei
Kong, Xiangyu
He, Zhen
Fu, Ting
Zhang, Wenhua
Jia, Wenling
Liang, Chunhui
Tang, Haitao
Wang, Fengmei
Ye, Yancheng
Shao, Zhongjun
Ji, Zhaohua
author_facet Wu, Weikang
Yuan, Xiaojie
Zhang, Weilu
Zhou, Haowei
Kong, Xiangyu
He, Zhen
Fu, Ting
Zhang, Wenhua
Jia, Wenling
Liang, Chunhui
Tang, Haitao
Wang, Fengmei
Ye, Yancheng
Shao, Zhongjun
Ji, Zhaohua
author_sort Wu, Weikang
collection PubMed
description BACKGROUND AND AIM: Chronic hepatitis B (CHB) can be divided into immune tolerance (IT), immune clearance (IC), hepatitis B e antigen (HBeAg)-negative inactive/quiescent carrier (ENQ), and HBeAg-negative hepatitis (ENH) phases. The conventional biomarkers used to distinguish these phases have limitations. We examined the clinical significance of hepatitis B virus (HBV) RNA and hepatitis B core-related antigen (HBcrAg) as novel biomarkers. METHODS: One hundred eighty-nine patients without treatment currently were categorized by CHB phase (IT = 46, IC = 45, ENQ = 49, ENH = 49). The associations of HBV RNA and HBcrAg with HBV DNA and alanine transaminase (ALT) were analyzed. The decision tree model was used to distinguish the four phases in the natural course of CHB. RESULTS: The concentrations of HBV RNA and HBcrAg were highest in the IT and IC phases (P < 0.01). Serum HBV RNA was similar to HBcrAg in treatment-naïve patients. HBV RNA and HBcrAg correlated with HBV DNA in the HBeAg(+) and HBeAg(−) status (HBV RNA: e(+) r = 0.51, e(−) r = 0.62; HBcrAg: e(+) r = 0.51, e(−) r = 0.71), but their association with HBV DNA differed among phases. The accuracy, sensitivity, and specificity of HBcrAg with ALT in distinguishing the CHB phases were 95.65%, 95.83%, and 95.55%, respectively. CONCLUSION: Serum HBV RNA and HBcrAg may be useful to monitor CHB progression.
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spelling pubmed-96505352022-11-15 Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection Wu, Weikang Yuan, Xiaojie Zhang, Weilu Zhou, Haowei Kong, Xiangyu He, Zhen Fu, Ting Zhang, Wenhua Jia, Wenling Liang, Chunhui Tang, Haitao Wang, Fengmei Ye, Yancheng Shao, Zhongjun Ji, Zhaohua Front Public Health Public Health BACKGROUND AND AIM: Chronic hepatitis B (CHB) can be divided into immune tolerance (IT), immune clearance (IC), hepatitis B e antigen (HBeAg)-negative inactive/quiescent carrier (ENQ), and HBeAg-negative hepatitis (ENH) phases. The conventional biomarkers used to distinguish these phases have limitations. We examined the clinical significance of hepatitis B virus (HBV) RNA and hepatitis B core-related antigen (HBcrAg) as novel biomarkers. METHODS: One hundred eighty-nine patients without treatment currently were categorized by CHB phase (IT = 46, IC = 45, ENQ = 49, ENH = 49). The associations of HBV RNA and HBcrAg with HBV DNA and alanine transaminase (ALT) were analyzed. The decision tree model was used to distinguish the four phases in the natural course of CHB. RESULTS: The concentrations of HBV RNA and HBcrAg were highest in the IT and IC phases (P < 0.01). Serum HBV RNA was similar to HBcrAg in treatment-naïve patients. HBV RNA and HBcrAg correlated with HBV DNA in the HBeAg(+) and HBeAg(−) status (HBV RNA: e(+) r = 0.51, e(−) r = 0.62; HBcrAg: e(+) r = 0.51, e(−) r = 0.71), but their association with HBV DNA differed among phases. The accuracy, sensitivity, and specificity of HBcrAg with ALT in distinguishing the CHB phases were 95.65%, 95.83%, and 95.55%, respectively. CONCLUSION: Serum HBV RNA and HBcrAg may be useful to monitor CHB progression. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9650535/ /pubmed/36388269 http://dx.doi.org/10.3389/fpubh.2022.1037508 Text en Copyright © 2022 Wu, Yuan, Zhang, Zhou, Kong, He, Fu, Zhang, Jia, Liang, Tang, Wang, Ye, Shao and Ji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wu, Weikang
Yuan, Xiaojie
Zhang, Weilu
Zhou, Haowei
Kong, Xiangyu
He, Zhen
Fu, Ting
Zhang, Wenhua
Jia, Wenling
Liang, Chunhui
Tang, Haitao
Wang, Fengmei
Ye, Yancheng
Shao, Zhongjun
Ji, Zhaohua
Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title_full Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title_fullStr Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title_full_unstemmed Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title_short Clinical significance of novel biomarkers to predict the natural course of hepatitis B infection
title_sort clinical significance of novel biomarkers to predict the natural course of hepatitis b infection
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650535/
https://www.ncbi.nlm.nih.gov/pubmed/36388269
http://dx.doi.org/10.3389/fpubh.2022.1037508
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