HIV-1 CRF07_BC transmission dynamics in China: two decades of national molecular surveillance
By analyzing an unprecedentedly large, longitudinal HIV-1 CRF07_BC sequence dataset collected from China in the past two decades, we sought to build CRF07_BC lengthwise transmission networks, and understand its transmission dynamics. We divided CRF07_BC into two clusters based on phylogenetic analys...
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creator | Ge, Zhangwen Feng, Yi Zhang, Hua Rashid, Abdur Zaongo, Silvere D. Li, Kang Yu, Yueyang Lv, Bowen Sun, Jia Liang, Yanling Xing, Hui Sönnerborg, Anders Ma, Ping Shao, Yiming |
description | By analyzing an unprecedentedly large, longitudinal HIV-1 CRF07_BC sequence dataset collected from China in the past two decades, we sought to build CRF07_BC lengthwise transmission networks, and understand its transmission dynamics. We divided CRF07_BC into two clusters based on phylogenetic analysis and an estimation of the pairwise genetic distance at 0.7%. Of 6213 sequences, 3607 (58.1%) linked to ≥1 other sequence. CRF07_BC was divided into two clusters: 07BC_O and 07BC_N. The 07BC_O is the original CRF07_BC, circulating in people who inject drugs (PWID) and heterosexuals, predominantly in southwestern and northwestern provinces of China. The 07BC_N is a new cluster, identified mostly in men having sex with men (MSM) in the northern provinces of China. Bayesian analysis indicates that CRF07_BC has experienced two phases of exponential growth, which was first driven by 07BC_O then 07BC_N. Compared to 07BC_O, the proportion of the parameter of population transmission risk (TR) of 07BC_N has risen constantly. The power-law function analyses reveal that 07BC_N has increased over years with higher degree. In 07BC_N, only 13.16% of MSM were linked to other risk groups, but these links represent 41.45%, 54.25%, and 55.07% of links among heterosexual females, heterosexual males, and male PWID respectively. This study indicates that CRF07_BC has evolved into two clusters in China, and their distributions are distinct across risk groups and geographical regions. 07BC_N shows a greater risk of transmission, and has gradually replaced 07BC_O. Furthermore, the results show that strengthening the MSM interventions could lower the rapidity of 07BC_N transmission in all risk groups. |
doi_str_mv | 10.1080/22221751.2021.1978822 |
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We divided CRF07_BC into two clusters based on phylogenetic analysis and an estimation of the pairwise genetic distance at 0.7%. Of 6213 sequences, 3607 (58.1%) linked to ≥1 other sequence. CRF07_BC was divided into two clusters: 07BC_O and 07BC_N. The 07BC_O is the original CRF07_BC, circulating in people who inject drugs (PWID) and heterosexuals, predominantly in southwestern and northwestern provinces of China. The 07BC_N is a new cluster, identified mostly in men having sex with men (MSM) in the northern provinces of China. Bayesian analysis indicates that CRF07_BC has experienced two phases of exponential growth, which was first driven by 07BC_O then 07BC_N. Compared to 07BC_O, the proportion of the parameter of population transmission risk (TR) of 07BC_N has risen constantly. The power-law function analyses reveal that 07BC_N has increased over years with higher degree. In 07BC_N, only 13.16% of MSM were linked to other risk groups, but these links represent 41.45%, 54.25%, and 55.07% of links among heterosexual females, heterosexual males, and male PWID respectively. This study indicates that CRF07_BC has evolved into two clusters in China, and their distributions are distinct across risk groups and geographical regions. 07BC_N shows a greater risk of transmission, and has gradually replaced 07BC_O. Furthermore, the results show that strengthening the MSM interventions could lower the rapidity of 07BC_N transmission in all risk groups.</description><identifier>ISSN: 2222-1751</identifier><identifier>EISSN: 2222-1751</identifier><identifier>DOI: 10.1080/22221751.2021.1978822</identifier><identifier>PMID: 34498547</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Adult ; China ; China - epidemiology ; CRF07_BC ; Cross-Sectional Studies ; Female ; Geography ; HIV Infections - epidemiology ; HIV Infections - prevention & control ; HIV Infections - transmission ; HIV-1 ; HIV-1 - genetics ; Homosexuality, Female - statistics & numerical data ; Homosexuality, Male - statistics & numerical data ; Humans ; Male ; Molecular Epidemiology ; Primary Prevention - methods ; risk factors ; Sexual and Gender Minorities - statistics & numerical data ; Substance-Related Disorders ; surveillance ; transmission cluster ; Young Adult</subject><ispartof>EMERGING MICROBES & INFECTIONS, 2021-01, Vol.10 (1), p.1919-1930</ispartof><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2021</rights><rights>2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2021 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c572t-1865d495e8b20fb1a735173db285f91fb603ff9488e2757d9bd16ebdbd567113</citedby><cites>FETCH-LOGICAL-c572t-1865d495e8b20fb1a735173db285f91fb603ff9488e2757d9bd16ebdbd567113</cites><orcidid>0000-0002-3067-0908</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477959/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477959/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,2096,27479,27901,27902,53766,53768,59116,59117</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34498547$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:147800290$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Zhangwen</creatorcontrib><creatorcontrib>Feng, Yi</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><creatorcontrib>Rashid, Abdur</creatorcontrib><creatorcontrib>Zaongo, Silvere D.</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><creatorcontrib>Yu, Yueyang</creatorcontrib><creatorcontrib>Lv, Bowen</creatorcontrib><creatorcontrib>Sun, Jia</creatorcontrib><creatorcontrib>Liang, Yanling</creatorcontrib><creatorcontrib>Xing, Hui</creatorcontrib><creatorcontrib>Sönnerborg, Anders</creatorcontrib><creatorcontrib>Ma, Ping</creatorcontrib><creatorcontrib>Shao, Yiming</creatorcontrib><title>HIV-1 CRF07_BC transmission dynamics in China: two decades of national molecular surveillance</title><title>EMERGING MICROBES & INFECTIONS</title><addtitle>Emerg Microbes Infect</addtitle><description>By analyzing an unprecedentedly large, longitudinal HIV-1 CRF07_BC sequence dataset collected from China in the past two decades, we sought to build CRF07_BC lengthwise transmission networks, and understand its transmission dynamics. We divided CRF07_BC into two clusters based on phylogenetic analysis and an estimation of the pairwise genetic distance at 0.7%. Of 6213 sequences, 3607 (58.1%) linked to ≥1 other sequence. CRF07_BC was divided into two clusters: 07BC_O and 07BC_N. The 07BC_O is the original CRF07_BC, circulating in people who inject drugs (PWID) and heterosexuals, predominantly in southwestern and northwestern provinces of China. The 07BC_N is a new cluster, identified mostly in men having sex with men (MSM) in the northern provinces of China. Bayesian analysis indicates that CRF07_BC has experienced two phases of exponential growth, which was first driven by 07BC_O then 07BC_N. Compared to 07BC_O, the proportion of the parameter of population transmission risk (TR) of 07BC_N has risen constantly. The power-law function analyses reveal that 07BC_N has increased over years with higher degree. In 07BC_N, only 13.16% of MSM were linked to other risk groups, but these links represent 41.45%, 54.25%, and 55.07% of links among heterosexual females, heterosexual males, and male PWID respectively. This study indicates that CRF07_BC has evolved into two clusters in China, and their distributions are distinct across risk groups and geographical regions. 07BC_N shows a greater risk of transmission, and has gradually replaced 07BC_O. Furthermore, the results show that strengthening the MSM interventions could lower the rapidity of 07BC_N transmission in all risk groups.</description><subject>Adult</subject><subject>China</subject><subject>China - epidemiology</subject><subject>CRF07_BC</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Geography</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - prevention & control</subject><subject>HIV Infections - transmission</subject><subject>HIV-1</subject><subject>HIV-1 - genetics</subject><subject>Homosexuality, Female - statistics & numerical data</subject><subject>Homosexuality, Male - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Molecular Epidemiology</subject><subject>Primary Prevention - methods</subject><subject>risk factors</subject><subject>Sexual and Gender Minorities - statistics & numerical data</subject><subject>Substance-Related Disorders</subject><subject>surveillance</subject><subject>transmission cluster</subject><subject>Young Adult</subject><issn>2222-1751</issn><issn>2222-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>D8T</sourceid><sourceid>DOA</sourceid><recordid>eNp9Uk1vEzEQXSEQrUJ_AshHLhv8GdscEDSiNFIlJFRxQ5bXHrcuu-tibxrl3-OQtGouzMWjN2_eWE-vad4SPCdY4Q-0FpGCzCmmZE60VIrSF83pDm93g5fP-pPmrJQ7XEviBSf8dXPCONdKcHna_Lpc_WwJWv64wNKcL9GU7ViGWEpMI_Lb0Q7RFRRHtLyNo_2Ipk1CHpz1UFAKaLRTJdoeDakHt-5tRmWdHyD2vR0dvGleBdsXODu8s-b64uv18rK9-v5ttfxy1Toh6dQStRCeawGqozh0xEomiGS-o0oETUK3wCwEzZUCKoX0uvNkAZ3vvFhIQtisWe1lfbJ35j7HweatSTaaf0DKN8bmKboejNe2A9CdZgx4cE6DFVRSxYLWlDJetdq9VtnA_bo7UjtAv2sHhgtNlKz8T3t-nQzgHYzVwv5o7Xgyxltzkx6M4lJqoavA-4NATn_WUCZT7XewMxDSuhgqJMFCsOrBrBF7qsuplAzh6QzBZhcM8xgMswuGOQSj7r17_senrccYVMLnPSGOIeXBblLuvZnstk851ES4WAz7_42_6B3Hwg</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Ge, Zhangwen</creator><creator>Feng, Yi</creator><creator>Zhang, Hua</creator><creator>Rashid, Abdur</creator><creator>Zaongo, Silvere D.</creator><creator>Li, Kang</creator><creator>Yu, Yueyang</creator><creator>Lv, Bowen</creator><creator>Sun, Jia</creator><creator>Liang, Yanling</creator><creator>Xing, Hui</creator><creator>Sönnerborg, Anders</creator><creator>Ma, Ping</creator><creator>Shao, Yiming</creator><general>Taylor & Francis</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3067-0908</orcidid></search><sort><creationdate>20210101</creationdate><title>HIV-1 CRF07_BC transmission dynamics in China: two decades of national molecular surveillance</title><author>Ge, Zhangwen ; Feng, Yi ; Zhang, Hua ; Rashid, Abdur ; Zaongo, Silvere D. ; Li, Kang ; Yu, Yueyang ; Lv, Bowen ; Sun, Jia ; Liang, Yanling ; Xing, Hui ; Sönnerborg, Anders ; Ma, Ping ; Shao, Yiming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-1865d495e8b20fb1a735173db285f91fb603ff9488e2757d9bd16ebdbd567113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>China</topic><topic>China - epidemiology</topic><topic>CRF07_BC</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Geography</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - prevention & control</topic><topic>HIV Infections - transmission</topic><topic>HIV-1</topic><topic>HIV-1 - genetics</topic><topic>Homosexuality, Female - statistics & numerical data</topic><topic>Homosexuality, Male - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Molecular Epidemiology</topic><topic>Primary Prevention - methods</topic><topic>risk factors</topic><topic>Sexual and Gender Minorities - statistics & numerical data</topic><topic>Substance-Related Disorders</topic><topic>surveillance</topic><topic>transmission cluster</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Zhangwen</creatorcontrib><creatorcontrib>Feng, Yi</creatorcontrib><creatorcontrib>Zhang, Hua</creatorcontrib><creatorcontrib>Rashid, Abdur</creatorcontrib><creatorcontrib>Zaongo, Silvere D.</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><creatorcontrib>Yu, Yueyang</creatorcontrib><creatorcontrib>Lv, Bowen</creatorcontrib><creatorcontrib>Sun, Jia</creatorcontrib><creatorcontrib>Liang, Yanling</creatorcontrib><creatorcontrib>Xing, Hui</creatorcontrib><creatorcontrib>Sönnerborg, Anders</creatorcontrib><creatorcontrib>Ma, Ping</creatorcontrib><creatorcontrib>Shao, Yiming</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>EMERGING MICROBES & INFECTIONS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Zhangwen</au><au>Feng, Yi</au><au>Zhang, Hua</au><au>Rashid, Abdur</au><au>Zaongo, Silvere D.</au><au>Li, Kang</au><au>Yu, Yueyang</au><au>Lv, Bowen</au><au>Sun, Jia</au><au>Liang, Yanling</au><au>Xing, Hui</au><au>Sönnerborg, Anders</au><au>Ma, Ping</au><au>Shao, Yiming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>HIV-1 CRF07_BC transmission dynamics in China: two decades of national molecular surveillance</atitle><jtitle>EMERGING MICROBES & INFECTIONS</jtitle><addtitle>Emerg Microbes Infect</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>10</volume><issue>1</issue><spage>1919</spage><epage>1930</epage><pages>1919-1930</pages><issn>2222-1751</issn><eissn>2222-1751</eissn><abstract>By analyzing an unprecedentedly large, longitudinal HIV-1 CRF07_BC sequence dataset collected from China in the past two decades, we sought to build CRF07_BC lengthwise transmission networks, and understand its transmission dynamics. We divided CRF07_BC into two clusters based on phylogenetic analysis and an estimation of the pairwise genetic distance at 0.7%. Of 6213 sequences, 3607 (58.1%) linked to ≥1 other sequence. CRF07_BC was divided into two clusters: 07BC_O and 07BC_N. The 07BC_O is the original CRF07_BC, circulating in people who inject drugs (PWID) and heterosexuals, predominantly in southwestern and northwestern provinces of China. The 07BC_N is a new cluster, identified mostly in men having sex with men (MSM) in the northern provinces of China. Bayesian analysis indicates that CRF07_BC has experienced two phases of exponential growth, which was first driven by 07BC_O then 07BC_N. Compared to 07BC_O, the proportion of the parameter of population transmission risk (TR) of 07BC_N has risen constantly. The power-law function analyses reveal that 07BC_N has increased over years with higher degree. In 07BC_N, only 13.16% of MSM were linked to other risk groups, but these links represent 41.45%, 54.25%, and 55.07% of links among heterosexual females, heterosexual males, and male PWID respectively. This study indicates that CRF07_BC has evolved into two clusters in China, and their distributions are distinct across risk groups and geographical regions. 07BC_N shows a greater risk of transmission, and has gradually replaced 07BC_O. Furthermore, the results show that strengthening the MSM interventions could lower the rapidity of 07BC_N transmission in all risk groups.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>34498547</pmid><doi>10.1080/22221751.2021.1978822</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-3067-0908</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult China China - epidemiology CRF07_BC Cross-Sectional Studies Female Geography HIV Infections - epidemiology HIV Infections - prevention & control HIV Infections - transmission HIV-1 HIV-1 - genetics Homosexuality, Female - statistics & numerical data Homosexuality, Male - statistics & numerical data Humans Male Molecular Epidemiology Primary Prevention - methods risk factors Sexual and Gender Minorities - statistics & numerical data Substance-Related Disorders surveillance transmission cluster Young Adult |
title | HIV-1 CRF07_BC transmission dynamics in China: two decades of national molecular surveillance |
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