Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs

Abstract Most individuals chronically infected with hepatitis C virus (HCV) are asymptomatic during the initial stages of infection and therefore the precise timing of infection is often unknown. Retrospective estimation of infection duration would improve existing surveillance data and help guide t...

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Autores principales:	Vincent Montoya, Anita Y. M. Howe, Weiyan Y. Dong, Winnie Dong, Chanson J. Brumme, Andrea D. Olmstead, Kanna Hayashi, P. Richard Harrigan, Jeffrey B. Joy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9897a6ee8ee742759ddb6f3d56a742fb
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spelling	oai:doaj.org-article:9897a6ee8ee742759ddb6f3d56a742fb2021-12-02T17:01:57ZIntra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs10.1038/s41598-021-88132-82045-2322https://doaj.org/article/9897a6ee8ee742759ddb6f3d56a742fb2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88132-8https://doaj.org/toc/2045-2322Abstract Most individuals chronically infected with hepatitis C virus (HCV) are asymptomatic during the initial stages of infection and therefore the precise timing of infection is often unknown. Retrospective estimation of infection duration would improve existing surveillance data and help guide treatment. While intra-host viral diversity quantifications such as Shannon entropy have previously been utilized for estimating duration of infection, these studies characterize the viral population from only a relatively short segment of the HCV genome. In this study intra-host diversities were examined across the HCV genome in order to identify the region most reflective of time and the degree to which these estimates are influenced by high-risk activities including those associated with HCV acquisition. Shannon diversities were calculated for all regions of HCV from 78 longitudinally sampled individuals with known seroconversion timeframes. While the region of the HCV genome most accurately reflecting time resided within the NS3 gene, the gene region with the highest capacity to differentiate acute from chronic infections was identified within the NS5b region. Multivariate models predicting duration of infection from viral diversity significantly improved upon incorporation of variables associated with recent public, unsupervised drug use. These results could assist the development of strategic population treatment guidelines for high-risk individuals infected with HCV and offer insights into variables associated with a likelihood of transmission.Vincent MontoyaAnita Y. M. HoweWeiyan Y. DongWinnie DongChanson J. BrummeAndrea D. OlmsteadKanna HayashiP. Richard HarriganJeffrey B. JoyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vincent Montoya Anita Y. M. Howe Weiyan Y. Dong Winnie Dong Chanson J. Brumme Andrea D. Olmstead Kanna Hayashi P. Richard Harrigan Jeffrey B. Joy Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
description	Abstract Most individuals chronically infected with hepatitis C virus (HCV) are asymptomatic during the initial stages of infection and therefore the precise timing of infection is often unknown. Retrospective estimation of infection duration would improve existing surveillance data and help guide treatment. While intra-host viral diversity quantifications such as Shannon entropy have previously been utilized for estimating duration of infection, these studies characterize the viral population from only a relatively short segment of the HCV genome. In this study intra-host diversities were examined across the HCV genome in order to identify the region most reflective of time and the degree to which these estimates are influenced by high-risk activities including those associated with HCV acquisition. Shannon diversities were calculated for all regions of HCV from 78 longitudinally sampled individuals with known seroconversion timeframes. While the region of the HCV genome most accurately reflecting time resided within the NS3 gene, the gene region with the highest capacity to differentiate acute from chronic infections was identified within the NS5b region. Multivariate models predicting duration of infection from viral diversity significantly improved upon incorporation of variables associated with recent public, unsupervised drug use. These results could assist the development of strategic population treatment guidelines for high-risk individuals infected with HCV and offer insights into variables associated with a likelihood of transmission.
format	article
author	Vincent Montoya Anita Y. M. Howe Weiyan Y. Dong Winnie Dong Chanson J. Brumme Andrea D. Olmstead Kanna Hayashi P. Richard Harrigan Jeffrey B. Joy
author_facet	Vincent Montoya Anita Y. M. Howe Weiyan Y. Dong Winnie Dong Chanson J. Brumme Andrea D. Olmstead Kanna Hayashi P. Richard Harrigan Jeffrey B. Joy
author_sort	Vincent Montoya
title	Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
title_short	Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
title_full	Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
title_fullStr	Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
title_full_unstemmed	Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs
title_sort	intra-host evolutionary dynamics of the hepatitis c virus among people who inject drugs
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9897a6ee8ee742759ddb6f3d56a742fb
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Intra-host evolutionary dynamics of the hepatitis C virus among people who inject drugs

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