評論文章：預測慢性乙型肝炎患者停藥後的核苷（酸）類似

StephenW

評論文章：預測慢性乙型肝炎患者停藥後的核苷（酸）類似物停藥和 HBV 復發的生物標誌物
羅夢琪 1 , 周斌 1 , 金林侯 1 , 姜德克 1
隸屬關係
聯繫

    1
    器官衰竭研究國家重點實驗室，廣東省病毒性肝炎研究重點實驗室，廣東省肝病研究所，南方醫科大學傳染病與肝病學部，南方醫院，廣州，中國。

    PMID：35089634 DOI：10.1111/hepr.13749

抽象的

目的：總結預測慢性乙型肝炎（CHB）患者停藥和停藥後HBV復發的HBV相關生物標誌物，為臨床用藥提供參考，從而更科學地管理CHB患者。

方法：在PubMed中檢索相關文獻，對結果進行整理。然後我們對這些文章進行了分析和總結。

結果：我們發現HBV相關的生物標誌物可能可以安全地預測NAs撤藥和治療停止後復發的可能性，包括乙型肝炎e抗原（HBeAg）、乙型肝炎表面抗原（HBsAg）、HBV DNA、HBV RNA、前基因組RNA（ pgRNA)、乙型肝炎核心相關抗原 (HBcrAg)、乙型肝炎核心抗體 (anti-HBc) 以及包含用於預測治療效果的多個指標的模型。

結論：HBV DNA、HBV RNA、pgRNA、HBcrAg、anti-HBc以及幾種生物標誌物形成的預測模型可以預測在HBsAg消失和復發之前NAs的安全停藥。本文受版權保護。版權所有。

關鍵詞：慢性；乙型肝炎；預測;退出。

本文受版權保護。版權所有。

StephenW

Review article: biomarkers for predicting nucleos(t)ide analogues discontinuation and HBV recurrence after drug withdrawal in chronic hepatitis B patients
Mengqi Luo  1 , Bin Zhou  1 , Jinlin Hou  1 , Deke Jiang  1
Affiliations
Affiliation

    1
    State Key Laboratory of Organ Failure Research, Guangdong Key Laboratory of Viral Hepatitis Research, Institutes of Liver Diseases Research of Guangdong Province, Department of Infectious Diseases and Hepatology Unit, Southern Medical University, Nanfang Hospital, Guangzhou, China.

    PMID: 35089634 DOI: 10.1111/hepr.13749

Abstract

Aim: To summarize HBV-related biomarkers predicting Nucleos(t)ide analogues (NAs) discontinuation and HBV recurrence after drug withdrawal in chronic hepatitis B (CHB) patients, providing references for clinical medication, so as to manage CHB patients more scientifically.

Methods: Related pieces of literature were retrieved in PubMed and the results were sorted out. We then analyzed and summarised these articles.

Results: We found that HBV related biomarkers maybe could predict NAs withdrawal safely and the possibility of relapse after treatment cessation, including hepatitis B e antigen (HBeAg), hepatitis B surface antigen (HBsAg), HBV DNA, HBV RNA, pregenomic-RNA (pgRNA), hepatitis B core-related antigen (HBcrAg), hepatitis B core antibody (anti-HBc), and models containing several indicators for predicting the effectiveness of treatment.

Conclusions: HBV DNA, HBV RNA, pgRNA, HBcrAg, anti-HBc, as well as the prediction models formed by several biomarkers could predict the safe discontinuation of NAs before HBsAg loss and recurrence. This article is protected by copyright. All rights reserved.

Keywords: Chronic; Hepatitis B; predict; withdrawal.

This article is protected by copyright. All rights reserved.