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Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland

Reconstruction of HIV transmission links allows to trace the spread and dynamics of infection and guide epidemiological interventions. The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. Maximum likelihood phylogenenetic trees were inferred...

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Published in:PloS one 2017-02, Vol.12 (2), p.e0172473
Main Authors: Parczewski, Miłosz, Leszczyszyn-Pynka, Magdalena, Witak-Jędra, Magdalena, Szetela, Bartosz, Gąsiorowski, Jacek, Knysz, Brygida, Bociąga-Jasik, Monika, Skwara, Paweł, Grzeszczuk, Anna, Jankowska, Maria, Barałkiewicz, Grażyna, Mozer-Lisewska, Iwona, Łojewski, Władysław, Kozieł, Katarzyna, Grąbczewska, Edyta, Jabłonowska, Elżbieta, Urbańska, Anna
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cited_by cdi_FETCH-LOGICAL-c725t-cb7f830b1050ecabe9947a1b767b25ce8e11f03b877854ac03395050831d5b033
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creator Parczewski, Miłosz
Leszczyszyn-Pynka, Magdalena
Witak-Jędra, Magdalena
Szetela, Bartosz
Gąsiorowski, Jacek
Knysz, Brygida
Bociąga-Jasik, Monika
Skwara, Paweł
Grzeszczuk, Anna
Jankowska, Maria
Barałkiewicz, Grażyna
Mozer-Lisewska, Iwona
Łojewski, Władysław
Kozieł, Katarzyna
Grąbczewska, Edyta
Jabłonowska, Elżbieta
Urbańska, Anna
description Reconstruction of HIV transmission links allows to trace the spread and dynamics of infection and guide epidemiological interventions. The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. Maximum likelihood phylogenenetic trees were inferred from 966 HIV-1 subtype B protease/reverse transcriptase sequences from patients followed up in nine Polish HIV centers. Monophyletic clusters were identified using 3% within-cluster distance and 0.9 bootstrap values. Interregional links for the clusters were investigated and time from infection to onward transmission estimated using Bayesian dated MCMC phylogeny. Three hundred twenty one (33.2%) sequences formed 109 clusters, including ten clusters of ≥5 sequences (n = 81, 8.4%). Transmission networks were more common among MSM (234 sequences, 68.6%) compared to other infection routes (injection drug use: 28 (8.2%) and heterosexual transmissions: 59 (17.3%) cases, respectively [OR:3.5 (95%CI:2.6-4.6),p
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The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. Maximum likelihood phylogenenetic trees were inferred from 966 HIV-1 subtype B protease/reverse transcriptase sequences from patients followed up in nine Polish HIV centers. Monophyletic clusters were identified using 3% within-cluster distance and 0.9 bootstrap values. Interregional links for the clusters were investigated and time from infection to onward transmission estimated using Bayesian dated MCMC phylogeny. Three hundred twenty one (33.2%) sequences formed 109 clusters, including ten clusters of ≥5 sequences (n = 81, 8.4%). Transmission networks were more common among MSM (234 sequences, 68.6%) compared to other infection routes (injection drug use: 28 (8.2%) and heterosexual transmissions: 59 (17.3%) cases, respectively [OR:3.5 (95%CI:2.6-4.6),p&lt;0.001]. Frequency of clustering increased from 26.92% in 2009 to 50.6% in 2014 [OR:1.18 (95%CI:1.06-1.31),p = 0.0026; slope +2.8%/year] with median time to onward transmission within clusters of 1.38 (IQR:0.59-2.52) years. In multivariate models clustering was associated with both MSM transmission route [OR:2.24 (95%CI:1.38-3.65),p&lt;0.001] and asymptomatic stage of HIV infection [OR:1.93 (95%CI:1.4-2.64),p&lt;0.0001]. Additionally, interregional networks were linked to MSM transmissions [OR:4.7 (95%CI:2.55-8.96),p&lt;0.001]. Reconstruction of the HIV-1 subtype B transmission patterns reveals increasing degree of clustering and existence of interregional networks among Polish MSM. Dated phylogeny confirms the association between onward transmission and recent infections. High transmission dynamics among Polish MSM emphasizes the necessity for active testing and early treatment in this group.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0172473</identifier><identifier>PMID: 28234955</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Adult ; AIDS ; Analysis ; Antiretroviral drugs ; Bayes Theorem ; Bayesian analysis ; Biology and Life Sciences ; Cluster Analysis ; Clustering ; Clusters ; Computer networks ; Contact Tracing - statistics &amp; numerical data ; Disease prevention ; Disease transmission ; Drug resistance ; Epidemics ; Epidemiology ; Female ; Gays &amp; lesbians ; Genotype ; Health aspects ; Heterosexuality ; HIV ; HIV infections ; HIV Infections - epidemiology ; HIV Infections - transmission ; HIV Infections - virology ; HIV Protease - genetics ; HIV-1 - classification ; HIV-1 - genetics ; HIV-1 - isolation &amp; purification ; Homosexuality, Male ; Human immunodeficiency virus ; Humans ; Infections ; Male ; Mathematical models ; Medical diagnosis ; Medicine and health sciences ; Mens health ; MSM (Men who have sex with men) ; Networks ; Patients ; People and Places ; Phylogenetics ; Phylogeny ; Poland - epidemiology ; Public Health Surveillance ; Reconstruction ; Research and Analysis Methods ; Risk factors ; RNA-directed DNA polymerase ; Sexually transmitted diseases ; STD ; Substance Abuse, Intravenous - epidemiology ; Substance Abuse, Intravenous - virology</subject><ispartof>PloS one, 2017-02, Vol.12 (2), p.e0172473</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Parczewski et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. Maximum likelihood phylogenenetic trees were inferred from 966 HIV-1 subtype B protease/reverse transcriptase sequences from patients followed up in nine Polish HIV centers. Monophyletic clusters were identified using 3% within-cluster distance and 0.9 bootstrap values. Interregional links for the clusters were investigated and time from infection to onward transmission estimated using Bayesian dated MCMC phylogeny. Three hundred twenty one (33.2%) sequences formed 109 clusters, including ten clusters of ≥5 sequences (n = 81, 8.4%). Transmission networks were more common among MSM (234 sequences, 68.6%) compared to other infection routes (injection drug use: 28 (8.2%) and heterosexual transmissions: 59 (17.3%) cases, respectively [OR:3.5 (95%CI:2.6-4.6),p&lt;0.001]. Frequency of clustering increased from 26.92% in 2009 to 50.6% in 2014 [OR:1.18 (95%CI:1.06-1.31),p = 0.0026; slope +2.8%/year] with median time to onward transmission within clusters of 1.38 (IQR:0.59-2.52) years. In multivariate models clustering was associated with both MSM transmission route [OR:2.24 (95%CI:1.38-3.65),p&lt;0.001] and asymptomatic stage of HIV infection [OR:1.93 (95%CI:1.4-2.64),p&lt;0.0001]. Additionally, interregional networks were linked to MSM transmissions [OR:4.7 (95%CI:2.55-8.96),p&lt;0.001]. Reconstruction of the HIV-1 subtype B transmission patterns reveals increasing degree of clustering and existence of interregional networks among Polish MSM. Dated phylogeny confirms the association between onward transmission and recent infections. High transmission dynamics among Polish MSM emphasizes the necessity for active testing and early treatment in this group.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adult</subject><subject>AIDS</subject><subject>Analysis</subject><subject>Antiretroviral drugs</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Biology and Life Sciences</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>Clusters</subject><subject>Computer networks</subject><subject>Contact Tracing - statistics &amp; numerical data</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>Drug resistance</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gays &amp; lesbians</subject><subject>Genotype</subject><subject>Health aspects</subject><subject>Heterosexuality</subject><subject>HIV</subject><subject>HIV infections</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - transmission</subject><subject>HIV Infections - virology</subject><subject>HIV Protease - genetics</subject><subject>HIV-1 - classification</subject><subject>HIV-1 - genetics</subject><subject>HIV-1 - isolation &amp; purification</subject><subject>Homosexuality, Male</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infections</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical diagnosis</subject><subject>Medicine and health sciences</subject><subject>Mens health</subject><subject>MSM (Men who have sex with men)</subject><subject>Networks</subject><subject>Patients</subject><subject>People and Places</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Poland - epidemiology</subject><subject>Public Health Surveillance</subject><subject>Reconstruction</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>RNA-directed DNA polymerase</subject><subject>Sexually transmitted diseases</subject><subject>STD</subject><subject>Substance Abuse, Intravenous - epidemiology</subject><subject>Substance Abuse, Intravenous - virology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0eKPOHZukMY0WKVJQ3xM4sqyE6dxSewSO2v373HabGrQLlAukhw_57XP63OS5CWCc0QY-rByfWdlM187q-cQMZwy8ig5RjnBswxD8vjg-yh55v0KQkp4lj1NjjDHJM0pPU5-nW_X0pbGLsHF4nqGgO9VuF1r8AmETlrfGu-Ns8DqsHHdbw9k6yLbags2tQO1vNHA6y3YmFDvosaCr66Jks-TJ5VsvH4xvk-Sn5_Pf5xdzC6vvizOTi9nBcM0zArFKk6gQpBCXUil8zxlEimWMYVpoblGqIJEccY4TWUBCclpZDlBJVXx7yR5vdddN86L0RUvEGeIQwIJi8RiT5ROrsS6M63sboWTRuwCrlsK2QVTNFpImqtUlYwxmacZxopQxDnSeSYRklUetT6Ou_Wq1WWhbbSpmYhOV6ypxdLdCEowxTmMAu9Ggc796bUPIlpc6CZapl2_O3csFCI4nPvNP-jD1Y3UUsYCjK1c3LcYRMVpyjFNIc0Gl-YPUPEpdWuK2EKVifFJwvtJQmSC3oal7L0Xi-_f_p-9up6ybw_YWssm1N41fYhd5qdgugeLznnf6ereZATFMAF3bohhAsQ4ATHt1eEF3SfdtTz5Cxns_kw</recordid><startdate>20170224</startdate><enddate>20170224</enddate><creator>Parczewski, Miłosz</creator><creator>Leszczyszyn-Pynka, Magdalena</creator><creator>Witak-Jędra, Magdalena</creator><creator>Szetela, Bartosz</creator><creator>Gąsiorowski, Jacek</creator><creator>Knysz, Brygida</creator><creator>Bociąga-Jasik, Monika</creator><creator>Skwara, Paweł</creator><creator>Grzeszczuk, Anna</creator><creator>Jankowska, Maria</creator><creator>Barałkiewicz, Grażyna</creator><creator>Mozer-Lisewska, Iwona</creator><creator>Łojewski, Władysław</creator><creator>Kozieł, Katarzyna</creator><creator>Grąbczewska, Edyta</creator><creator>Jabłonowska, Elżbieta</creator><creator>Urbańska, Anna</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170224</creationdate><title>Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland</title><author>Parczewski, Miłosz ; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Parczewski, Miłosz</au><au>Leszczyszyn-Pynka, Magdalena</au><au>Witak-Jędra, Magdalena</au><au>Szetela, Bartosz</au><au>Gąsiorowski, Jacek</au><au>Knysz, Brygida</au><au>Bociąga-Jasik, Monika</au><au>Skwara, Paweł</au><au>Grzeszczuk, Anna</au><au>Jankowska, Maria</au><au>Barałkiewicz, Grażyna</au><au>Mozer-Lisewska, Iwona</au><au>Łojewski, Władysław</au><au>Kozieł, Katarzyna</au><au>Grąbczewska, Edyta</au><au>Jabłonowska, Elżbieta</au><au>Urbańska, Anna</au><au>Meng, Zhefeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-02-24</date><risdate>2017</risdate><volume>12</volume><issue>2</issue><spage>e0172473</spage><pages>e0172473-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Reconstruction of HIV transmission links allows to trace the spread and dynamics of infection and guide epidemiological interventions. The aim of this study was to characterize transmission networks among subtype B infected patients from Poland. Maximum likelihood phylogenenetic trees were inferred from 966 HIV-1 subtype B protease/reverse transcriptase sequences from patients followed up in nine Polish HIV centers. Monophyletic clusters were identified using 3% within-cluster distance and 0.9 bootstrap values. Interregional links for the clusters were investigated and time from infection to onward transmission estimated using Bayesian dated MCMC phylogeny. Three hundred twenty one (33.2%) sequences formed 109 clusters, including ten clusters of ≥5 sequences (n = 81, 8.4%). Transmission networks were more common among MSM (234 sequences, 68.6%) compared to other infection routes (injection drug use: 28 (8.2%) and heterosexual transmissions: 59 (17.3%) cases, respectively [OR:3.5 (95%CI:2.6-4.6),p&lt;0.001]. Frequency of clustering increased from 26.92% in 2009 to 50.6% in 2014 [OR:1.18 (95%CI:1.06-1.31),p = 0.0026; slope +2.8%/year] with median time to onward transmission within clusters of 1.38 (IQR:0.59-2.52) years. In multivariate models clustering was associated with both MSM transmission route [OR:2.24 (95%CI:1.38-3.65),p&lt;0.001] and asymptomatic stage of HIV infection [OR:1.93 (95%CI:1.4-2.64),p&lt;0.0001]. Additionally, interregional networks were linked to MSM transmissions [OR:4.7 (95%CI:2.55-8.96),p&lt;0.001]. Reconstruction of the HIV-1 subtype B transmission patterns reveals increasing degree of clustering and existence of interregional networks among Polish MSM. Dated phylogeny confirms the association between onward transmission and recent infections. High transmission dynamics among Polish MSM emphasizes the necessity for active testing and early treatment in this group.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28234955</pmid><doi>10.1371/journal.pone.0172473</doi><tpages>e0172473</tpages><oa>free_for_read</oa></addata></record>
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source PMC (PubMed Central); Publicly Available Content (ProQuest)
subjects Acquired immune deficiency syndrome
Adult
AIDS
Analysis
Antiretroviral drugs
Bayes Theorem
Bayesian analysis
Biology and Life Sciences
Cluster Analysis
Clustering
Clusters
Computer networks
Contact Tracing - statistics & numerical data
Disease prevention
Disease transmission
Drug resistance
Epidemics
Epidemiology
Female
Gays & lesbians
Genotype
Health aspects
Heterosexuality
HIV
HIV infections
HIV Infections - epidemiology
HIV Infections - transmission
HIV Infections - virology
HIV Protease - genetics
HIV-1 - classification
HIV-1 - genetics
HIV-1 - isolation & purification
Homosexuality, Male
Human immunodeficiency virus
Humans
Infections
Male
Mathematical models
Medical diagnosis
Medicine and health sciences
Mens health
MSM (Men who have sex with men)
Networks
Patients
People and Places
Phylogenetics
Phylogeny
Poland - epidemiology
Public Health Surveillance
Reconstruction
Research and Analysis Methods
Risk factors
RNA-directed DNA polymerase
Sexually transmitted diseases
STD
Substance Abuse, Intravenous - epidemiology
Substance Abuse, Intravenous - virology
title Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland
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