Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1782186866474221568 |
---|---|
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. |
format | Text |
id | pubmed-2940905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chalmetkristen epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT staelensdelfien epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT blotstijn epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT dinakissylvie epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT pelgromjolanda epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT plumjean epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT vogelaersdirk epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT vandekerckhovelinos epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections AT verhofstedechris epidemiologicalstudyofphylogenetictransmissionclustersinalocalhiv1epidemicrevealsdistinctdifferencesbetweensubtypebandnonbinfections |