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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6950120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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