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Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing

HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Ov...

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Autores principales: Verhofstede, Chris, Mortier, Virginie, Dauwe, Kenny, Callens, Steven, Deblonde, Jessika, Dessilly, Géraldine, Delforge, Marie-Luce, Fransen, Katrien, Sasse, André, Stoffels, Karolien, Van Beckhoven, Dominique, Vanroye, Fien, Vaira, Dolores, Vancutsem, Ellen, Van Laethem, Kristel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950120/
https://www.ncbi.nlm.nih.gov/pubmed/31779195
http://dx.doi.org/10.3390/v11121096
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author Verhofstede, Chris
Mortier, Virginie
Dauwe, Kenny
Callens, Steven
Deblonde, Jessika
Dessilly, Géraldine
Delforge, Marie-Luce
Fransen, Katrien
Sasse, André
Stoffels, Karolien
Van Beckhoven, Dominique
Vanroye, Fien
Vaira, Dolores
Vancutsem, Ellen
Van Laethem, Kristel
author_facet Verhofstede, Chris
Mortier, Virginie
Dauwe, Kenny
Callens, Steven
Deblonde, Jessika
Dessilly, Géraldine
Delforge, Marie-Luce
Fransen, Katrien
Sasse, André
Stoffels, Karolien
Van Beckhoven, Dominique
Vanroye, Fien
Vaira, Dolores
Vancutsem, Ellen
Van Laethem, Kristel
author_sort Verhofstede, Chris
collection PubMed
description HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of ≥3 members. The percentage of early diagnosed (≤4 months after infection) was 28.6%. Patients of Belgian origin were more frequently involved in transmission clusters (49.7% compared to 15.3%) and diagnosed earlier (37.4% compared to 12.2%) than patients of Sub-Saharan African origin. Of the infections reported to be locally acquired, 69.5% were linked (14.1% paired and 55.4% in a cluster). Equal parts of early and late diagnosed individuals (59.9% and 52.4%, respectively) were involved in clusters. The identification of a genetically linked individual for the majority of locally infected patients suggests a high rate of diagnosis in this population. Diagnosis however is often delayed for >4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.
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spelling pubmed-69501202020-01-13 Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing Verhofstede, Chris Mortier, Virginie Dauwe, Kenny Callens, Steven Deblonde, Jessika Dessilly, Géraldine Delforge, Marie-Luce Fransen, Katrien Sasse, André Stoffels, Karolien Van Beckhoven, Dominique Vanroye, Fien Vaira, Dolores Vancutsem, Ellen Van Laethem, Kristel Viruses Article HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of ≥3 members. The percentage of early diagnosed (≤4 months after infection) was 28.6%. Patients of Belgian origin were more frequently involved in transmission clusters (49.7% compared to 15.3%) and diagnosed earlier (37.4% compared to 12.2%) than patients of Sub-Saharan African origin. Of the infections reported to be locally acquired, 69.5% were linked (14.1% paired and 55.4% in a cluster). Equal parts of early and late diagnosed individuals (59.9% and 52.4%, respectively) were involved in clusters. The identification of a genetically linked individual for the majority of locally infected patients suggests a high rate of diagnosis in this population. Diagnosis however is often delayed for >4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members. MDPI 2019-11-26 /pmc/articles/PMC6950120/ /pubmed/31779195 http://dx.doi.org/10.3390/v11121096 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Verhofstede, Chris
Mortier, Virginie
Dauwe, Kenny
Callens, Steven
Deblonde, Jessika
Dessilly, Géraldine
Delforge, Marie-Luce
Fransen, Katrien
Sasse, André
Stoffels, Karolien
Van Beckhoven, Dominique
Vanroye, Fien
Vaira, Dolores
Vancutsem, Ellen
Van Laethem, Kristel
Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title_full Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title_fullStr Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title_full_unstemmed Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title_short Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing
title_sort exploring hiv-1 transmission dynamics by combining phylogenetic analysis and infection timing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950120/
https://www.ncbi.nlm.nih.gov/pubmed/31779195
http://dx.doi.org/10.3390/v11121096
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