eprintid: 10187003
rev_number: 6
eprint_status: archive
userid: 699
dir: disk0/10/18/70/03
datestamp: 2024-02-12 16:34:04
lastmod: 2024-02-12 16:34:04
status_changed: 2024-02-12 16:34:04
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Chen, Qin-Yan
creators_name: Jia, Hui-Hua
creators_name: Wang, Xue-Yan
creators_name: Shi, Yun-Liang
creators_name: Zhang, Lu-Juan
creators_name: Hu, Li-Ping
creators_name: Wang, Chao
creators_name: He, Xiang
creators_name: Harrison, Tim J
creators_name: Jackson, J Brooks
creators_name: Wu, Li
creators_name: Fang, Zhong-Liao
title: Analysis of entire hepatitis B virus genomes reveals reversion of mutations to wild type in natural infection, a 15 year follow-up study
ispublished: pub
divisions: UCL
divisions: B02
divisions: C10
divisions: D17
keywords: Hepatitis B virus, Evolution, Mutation, Reversion, Next-generation sequencing
note: © 2021 The Authors. Published by Elsevier B.V. under a Creative Commons license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
abstract: It has been reported that some mutations in the genome of hepatitis B virus (HBV) may predict the outcome of the virus infection. However, evolutionary data derived from long-term longitudinal analysis of entire HBV genomes using next generation sequencing (NGS) remain rare. In this study, serum samples were collected from asymptomatic hepatitis B surface antigen (HBsAg) carriers from a long-term prospective cohort. The entire HBV genome was amplified by polymerase chain reaction (PCR) and sequenced using NGS. Twenty-eight time series serum samples from nine subjects were successfully analysed. The Shannon entropy (Sn) ranged from 0 to 0.89, with a median value of 0.76, and the genetic diversity (D) ranged from 0 to 0.013, with a median value of 0.004. Intrahost HBV viral evolutionary rates ranged from 2.39E-04 to 3.11E-03. Double mutations at nt1762(A → T) and 1764(G → A) and a stop mutation at nt1896(G → A) were seen in all sequences from subject BO129 in 2007. However, in 2019, most sequences were wild type at these positions. Deletions between nt 2920–3040 were seen in all sequences from subject TS115 in 2007 and 2013 but these were not present in 2004 or 2019. Some sequences from subject CC246 had predicted escape substitutions (T123N, G145R) in the surface protein in 2004, 2013 and 2019 but none of the sequences from 2007 had these changes. In conclusion, HBV mutations may revert to wild type in natural infection. Clinicians should be wary of predicting long-term prognoses on the basis of the presence of mutations.
date: 2022-01-24
date_type: published
publisher: ELSEVIER
official_url: http://dx.doi.org/10.1016/j.meegid.2021.105184
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1913622
doi: 10.1016/j.meegid.2021.105184
medium: Print-Electronic
pii: S1567-1348(21)00484-6
lyricists_name: Harrison, Tim
lyricists_id: THARR65
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
funding_acknowledgements: [Global Health Research Seed Grant from the Carver College of Medicine at the University of Iowa]; 81860595 [National Natural Science Foundation of China]; 81703283 [National Natural Science Foundation of China]; 2018AB59002 [Guangxi Key Research and Development Project]; 2017GXNSFBA198086 [Guangxi Natural Science Foundation]
full_text_status: public
publication: Infection, Genetics and Evolution
volume: 97
article_number: 105184
pages: 12
event_location: Netherlands
citation:        Chen, Qin-Yan;    Jia, Hui-Hua;    Wang, Xue-Yan;    Shi, Yun-Liang;    Zhang, Lu-Juan;    Hu, Li-Ping;    Wang, Chao;                     ... Fang, Zhong-Liao; + view all <#>        Chen, Qin-Yan;  Jia, Hui-Hua;  Wang, Xue-Yan;  Shi, Yun-Liang;  Zhang, Lu-Juan;  Hu, Li-Ping;  Wang, Chao;  He, Xiang;  Harrison, Tim J;  Jackson, J Brooks;  Wu, Li;  Fang, Zhong-Liao;   - view fewer <#>    (2022)    Analysis of entire hepatitis B virus genomes reveals reversion of mutations to wild type in natural infection, a 15 year follow-up study.                   Infection, Genetics and Evolution , 97     , Article 105184.  10.1016/j.meegid.2021.105184 <https://doi.org/10.1016/j.meegid.2021.105184>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10187003/1/1-s2.0-S1567134821004846-main.pdf