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Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections

BACKGROUND: The number of HIV-1 infected individuals in the Western world continues to rise. More in-depth understanding of regional HIV-1 epidemics is necessary for the optimal design and adequate use of future prevention strategies. The use of a combination of phylogenetic analysis of HIV sequence...

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Autores principales: Chalmet, Kristen, Staelens, Delfien, Blot, Stijn, Dinakis, Sylvie, Pelgrom, Jolanda, Plum, Jean, Vogelaers, Dirk, Vandekerckhove, Linos, Verhofstede, Chris
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940905/
https://www.ncbi.nlm.nih.gov/pubmed/20822507
http://dx.doi.org/10.1186/1471-2334-10-262
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author Chalmet, Kristen
Staelens, Delfien
Blot, Stijn
Dinakis, Sylvie
Pelgrom, Jolanda
Plum, Jean
Vogelaers, Dirk
Vandekerckhove, Linos
Verhofstede, Chris
author_facet Chalmet, Kristen
Staelens, Delfien
Blot, Stijn
Dinakis, Sylvie
Pelgrom, Jolanda
Plum, Jean
Vogelaers, Dirk
Vandekerckhove, Linos
Verhofstede, Chris
author_sort Chalmet, Kristen
collection PubMed
description BACKGROUND: The number of HIV-1 infected individuals in the Western world continues to rise. More in-depth understanding of regional HIV-1 epidemics is necessary for the optimal design and adequate use of future prevention strategies. The use of a combination of phylogenetic analysis of HIV sequences, with data on patients' demographics, infection route, clinical information and laboratory results, will allow a better characterization of individuals responsible for local transmission. METHODS: Baseline HIV-1 pol sequences, obtained through routine drug-resistance testing, from 506 patients, newly diagnosed between 2001 and 2009, were used to construct phylogenetic trees and identify transmission-clusters. Patients' demographics, laboratory and clinical data, were retrieved anonymously. Statistical analysis was performed to identify subtype-specific and transmission-cluster-specific characteristics. RESULTS: Multivariate analysis showed significant differences between the 59.7% of individuals with subtype B infection and the 40.3% non-B infected individuals, with regard to route of transmission, origin, infection with Chlamydia (p = 0.01) and infection with Hepatitis C virus (p = 0.017). More and larger transmission-clusters were identified among the subtype B infections (p < 0.001). Overall, in multivariate analysis, clustering was significantly associated with Caucasian origin, infection through homosexual contact and younger age (all p < 0.001). Bivariate analysis additionally showed a correlation between clustering and syphilis (p < 0.001), higher CD4 counts (p = 0.002), Chlamydia infection (p = 0.013) and primary HIV (p = 0.017). CONCLUSIONS: Combination of phylogenetics with demographic information, laboratory and clinical data, revealed that HIV-1 subtype B infected Caucasian men-who-have-sex-with-men with high prevalence of sexually transmitted diseases, account for the majority of local HIV-transmissions. This finding elucidates observed epidemiological trends through molecular analysis, and justifies sustained focus in prevention on this high risk group.
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spelling pubmed-29409052010-09-17 Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections Chalmet, Kristen Staelens, Delfien Blot, Stijn Dinakis, Sylvie Pelgrom, Jolanda Plum, Jean Vogelaers, Dirk Vandekerckhove, Linos Verhofstede, Chris BMC Infect Dis Research Article BACKGROUND: The number of HIV-1 infected individuals in the Western world continues to rise. More in-depth understanding of regional HIV-1 epidemics is necessary for the optimal design and adequate use of future prevention strategies. The use of a combination of phylogenetic analysis of HIV sequences, with data on patients' demographics, infection route, clinical information and laboratory results, will allow a better characterization of individuals responsible for local transmission. METHODS: Baseline HIV-1 pol sequences, obtained through routine drug-resistance testing, from 506 patients, newly diagnosed between 2001 and 2009, were used to construct phylogenetic trees and identify transmission-clusters. Patients' demographics, laboratory and clinical data, were retrieved anonymously. Statistical analysis was performed to identify subtype-specific and transmission-cluster-specific characteristics. RESULTS: Multivariate analysis showed significant differences between the 59.7% of individuals with subtype B infection and the 40.3% non-B infected individuals, with regard to route of transmission, origin, infection with Chlamydia (p = 0.01) and infection with Hepatitis C virus (p = 0.017). More and larger transmission-clusters were identified among the subtype B infections (p < 0.001). Overall, in multivariate analysis, clustering was significantly associated with Caucasian origin, infection through homosexual contact and younger age (all p < 0.001). Bivariate analysis additionally showed a correlation between clustering and syphilis (p < 0.001), higher CD4 counts (p = 0.002), Chlamydia infection (p = 0.013) and primary HIV (p = 0.017). CONCLUSIONS: Combination of phylogenetics with demographic information, laboratory and clinical data, revealed that HIV-1 subtype B infected Caucasian men-who-have-sex-with-men with high prevalence of sexually transmitted diseases, account for the majority of local HIV-transmissions. This finding elucidates observed epidemiological trends through molecular analysis, and justifies sustained focus in prevention on this high risk group. BioMed Central 2010-09-07 /pmc/articles/PMC2940905/ /pubmed/20822507 http://dx.doi.org/10.1186/1471-2334-10-262 Text en Copyright ©2010 Chalmet et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chalmet, Kristen
Staelens, Delfien
Blot, Stijn
Dinakis, Sylvie
Pelgrom, Jolanda
Plum, Jean
Vogelaers, Dirk
Vandekerckhove, Linos
Verhofstede, Chris
Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title_full Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title_fullStr Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title_full_unstemmed Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title_short Epidemiological study of phylogenetic transmission clusters in a local HIV-1 epidemic reveals distinct differences between subtype B and non-B infections
title_sort epidemiological study of phylogenetic transmission clusters in a local hiv-1 epidemic reveals distinct differences between subtype b and non-b infections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940905/
https://www.ncbi.nlm.nih.gov/pubmed/20822507
http://dx.doi.org/10.1186/1471-2334-10-262
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