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Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood

OBJECTIVES: To relate socio-demographic and virological information to phylogenetic clustering in HIV infected patients in a limited geographical area and to evaluate the role of recently infected individuals in the spread of HIV. METHODS: HIV-1 pol sequences from newly diagnosed and treatment-naive...

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Autores principales: Robineau, Olivier, Frange, Pierre, Barin, Francis, Cazein, Françoise, Girard, Pierre-Marie, Chaix, Marie-Laure, Kreplak, Georges, Boelle, Pierre-Yves, Morand-Joubert, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534393/
https://www.ncbi.nlm.nih.gov/pubmed/26267615
http://dx.doi.org/10.1371/journal.pone.0135367
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author Robineau, Olivier
Frange, Pierre
Barin, Francis
Cazein, Françoise
Girard, Pierre-Marie
Chaix, Marie-Laure
Kreplak, Georges
Boelle, Pierre-Yves
Morand-Joubert, Laurence
author_facet Robineau, Olivier
Frange, Pierre
Barin, Francis
Cazein, Françoise
Girard, Pierre-Marie
Chaix, Marie-Laure
Kreplak, Georges
Boelle, Pierre-Yves
Morand-Joubert, Laurence
author_sort Robineau, Olivier
collection PubMed
description OBJECTIVES: To relate socio-demographic and virological information to phylogenetic clustering in HIV infected patients in a limited geographical area and to evaluate the role of recently infected individuals in the spread of HIV. METHODS: HIV-1 pol sequences from newly diagnosed and treatment-naive patients receiving follow-up between 2008 and 2011 by physicians belonging to a health network in Paris were used to build a phylogenetic tree using neighbour-joining analysis. Time since infection was estimated by immunoassay to define recently infected patients (very early infected presenters, VEP). Data on socio-demographic, clinical and biological features in clustered and non-clustered patients were compared. Chains of infection structure was also analysed. RESULTS: 547 patients were included, 49 chains of infection containing 108 (20%) patients were identified by phylogenetic analysis. analysis. Eighty individuals formed pairs and 28 individuals were belonging to larger clusters. The median time between two successive HIV diagnoses in the same chain of infection was 248 days [CI = 176–320]. 34.7% of individuals were considered as VEP, and 27% of them were included in chains of infection. Multivariable analysis showed that belonging to a cluster was more frequent in VEP and those under 30 years old (OR: 3.65, 95 CI 1.49–8.95, p = 0.005 and OR: 2.42, 95% CI 1.05–5.85, p = 0.04 respectively). The prevalence of drug resistance was not associated with belonging to a pair or a cluster. Within chains, VEP were not grouped together more than chance predicted (p = 0.97). CONCLUSIONS: Most newly diagnosed patients did not belong to a chain of infection, confirming the importance of undiagnosed or untreated HIV infected individuals in transmission. Furthermore, clusters involving both recently infected individuals and longstanding infected individuals support a substantial role in transmission of the latter before diagnosis.
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spelling pubmed-45343932015-08-24 Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood Robineau, Olivier Frange, Pierre Barin, Francis Cazein, Françoise Girard, Pierre-Marie Chaix, Marie-Laure Kreplak, Georges Boelle, Pierre-Yves Morand-Joubert, Laurence PLoS One Research Article OBJECTIVES: To relate socio-demographic and virological information to phylogenetic clustering in HIV infected patients in a limited geographical area and to evaluate the role of recently infected individuals in the spread of HIV. METHODS: HIV-1 pol sequences from newly diagnosed and treatment-naive patients receiving follow-up between 2008 and 2011 by physicians belonging to a health network in Paris were used to build a phylogenetic tree using neighbour-joining analysis. Time since infection was estimated by immunoassay to define recently infected patients (very early infected presenters, VEP). Data on socio-demographic, clinical and biological features in clustered and non-clustered patients were compared. Chains of infection structure was also analysed. RESULTS: 547 patients were included, 49 chains of infection containing 108 (20%) patients were identified by phylogenetic analysis. analysis. Eighty individuals formed pairs and 28 individuals were belonging to larger clusters. The median time between two successive HIV diagnoses in the same chain of infection was 248 days [CI = 176–320]. 34.7% of individuals were considered as VEP, and 27% of them were included in chains of infection. Multivariable analysis showed that belonging to a cluster was more frequent in VEP and those under 30 years old (OR: 3.65, 95 CI 1.49–8.95, p = 0.005 and OR: 2.42, 95% CI 1.05–5.85, p = 0.04 respectively). The prevalence of drug resistance was not associated with belonging to a pair or a cluster. Within chains, VEP were not grouped together more than chance predicted (p = 0.97). CONCLUSIONS: Most newly diagnosed patients did not belong to a chain of infection, confirming the importance of undiagnosed or untreated HIV infected individuals in transmission. Furthermore, clusters involving both recently infected individuals and longstanding infected individuals support a substantial role in transmission of the latter before diagnosis. Public Library of Science 2015-08-12 /pmc/articles/PMC4534393/ /pubmed/26267615 http://dx.doi.org/10.1371/journal.pone.0135367 Text en © 2015 Robineau et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Robineau, Olivier
Frange, Pierre
Barin, Francis
Cazein, Françoise
Girard, Pierre-Marie
Chaix, Marie-Laure
Kreplak, Georges
Boelle, Pierre-Yves
Morand-Joubert, Laurence
Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title_full Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title_fullStr Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title_full_unstemmed Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title_short Combining the Estimated Date of HIV Infection with a Phylogenetic Cluster Study to Better Understand HIV Spread: Application in a Paris Neighbourhood
title_sort combining the estimated date of hiv infection with a phylogenetic cluster study to better understand hiv spread: application in a paris neighbourhood
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534393/
https://www.ncbi.nlm.nih.gov/pubmed/26267615
http://dx.doi.org/10.1371/journal.pone.0135367
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