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A8 Epidemiological study of transmission clusters in a local HIV-1 cohort

Integration of molecular, clinical, and demographic data represents a powerful tool to understand the dynamics of local HIV-1 transmission chains (TCs). The aim of our study was the phylogenetic analysis of the TCs within a HIV-1 cohort and the description of the relevant patient data within a TC. W...

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Autores principales: González Domenech, Carmen M, Viciana-Ramos, Isabel, Sena-Corrales, Gabriel, Mora Navas, Laura, Ojeda, Guillermo, Nuño, Enrique, Clavijo, Encarnación, Palacios, Rosario, Santos, Jesus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6735940/
http://dx.doi.org/10.1093/ve/vez002.007
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author González Domenech, Carmen M
Viciana-Ramos, Isabel
Sena-Corrales, Gabriel
Mora Navas, Laura
Ojeda, Guillermo
Nuño, Enrique
Clavijo, Encarnación
Palacios, Rosario
Santos, Jesus
author_facet González Domenech, Carmen M
Viciana-Ramos, Isabel
Sena-Corrales, Gabriel
Mora Navas, Laura
Ojeda, Guillermo
Nuño, Enrique
Clavijo, Encarnación
Palacios, Rosario
Santos, Jesus
author_sort González Domenech, Carmen M
collection PubMed
description Integration of molecular, clinical, and demographic data represents a powerful tool to understand the dynamics of local HIV-1 transmission chains (TCs). The aim of our study was the phylogenetic analysis of the TCs within a HIV-1 cohort and the description of the relevant patient data within a TC. We performed a phylogenetic analysis of 757 sequences from newly HIV-1 diagnosed patients in Málaga (Southern Spain) during the period 2004–15. We used partial pol gene sequences in a preliminary phylogenetic reconstruction using the Neighbour Joining method (MEGA v6.06 program). After eliminating branches with bootstrap values <80 per cent, we constructed a new phylogeny by Maximum likelihood method (FastTree program). We considered as TC any cluster with bootstrap values ≥ 90 per cent. Patient sequences within and outside TCs were compared. Resistance mutations in the protease (PR) and reverse transcriptase (RT) sequences were analyzed using the Stanford algorithm. Four hundred and fifty-one out of 757 patients (59.6%) were grouped into fifty-three TCs, seventeen of them with five or more subjects. The largest number of patients associated within a TC was ninety. Patients younger than 40 years [odds ratio (OR) 1.75, 95% confidence interval (95% CI) 1.2–2.4, P = 0.002], men who have sex with men (MSM) (OR 2.14, 95% CI 1.3–3.2, P < 0.0001), non-Spanish (OR 1.48, 95% CI 1.0–2.1, P = 0.038), with a non-B subtype HIV-1 (OR 3.12, 95% CI 2.0–4.8, P < 0.0001), and presenting primary resistance mutations (OR 14.1, 95% CI 3.1–62.6, P = 0.001) were more likely to be associated within a cluster. Ninety-four out of 118 patients (79.6%) with transmission resistance mutations were included in some TC. The most frequent mutations associated with clusters were T69D/N, L210W, and K219E/Q, for NRTIs, K103N, and G190A/S for NNRTIs, and the I54L/M and L90M mutations for PIs. The prevalence for resistance to NNRTIs in TCs was 13.7 per cent. There were two TCs of rarer non-B subtypes: CRF19_cpx, with twenty-one individuals, sixteen of them (76.2%) with mutation G190A; and CRF51_01B with thirty-nine patients, twenty of them with the K103N mutation. Approximately 60 per cent of newly HIV-1 diagnosed patients were included in a TC. Younger patients, MSM, non-Spanish, with non-B subtype HIV-1 and primary resistance mutations were more likely to belong to a cluster. NNRTI mutations were the most frequent ones among patients in TCs. We observed two TCs represented by infrequent non-B subtypes in our area—CRF19_cpx and CRF51_01B—both of which were associated to the transmission of primary resistance.
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spelling pubmed-67359402019-09-16 A8 Epidemiological study of transmission clusters in a local HIV-1 cohort González Domenech, Carmen M Viciana-Ramos, Isabel Sena-Corrales, Gabriel Mora Navas, Laura Ojeda, Guillermo Nuño, Enrique Clavijo, Encarnación Palacios, Rosario Santos, Jesus Virus Evol Abstract Overview Integration of molecular, clinical, and demographic data represents a powerful tool to understand the dynamics of local HIV-1 transmission chains (TCs). The aim of our study was the phylogenetic analysis of the TCs within a HIV-1 cohort and the description of the relevant patient data within a TC. We performed a phylogenetic analysis of 757 sequences from newly HIV-1 diagnosed patients in Málaga (Southern Spain) during the period 2004–15. We used partial pol gene sequences in a preliminary phylogenetic reconstruction using the Neighbour Joining method (MEGA v6.06 program). After eliminating branches with bootstrap values <80 per cent, we constructed a new phylogeny by Maximum likelihood method (FastTree program). We considered as TC any cluster with bootstrap values ≥ 90 per cent. Patient sequences within and outside TCs were compared. Resistance mutations in the protease (PR) and reverse transcriptase (RT) sequences were analyzed using the Stanford algorithm. Four hundred and fifty-one out of 757 patients (59.6%) were grouped into fifty-three TCs, seventeen of them with five or more subjects. The largest number of patients associated within a TC was ninety. Patients younger than 40 years [odds ratio (OR) 1.75, 95% confidence interval (95% CI) 1.2–2.4, P = 0.002], men who have sex with men (MSM) (OR 2.14, 95% CI 1.3–3.2, P < 0.0001), non-Spanish (OR 1.48, 95% CI 1.0–2.1, P = 0.038), with a non-B subtype HIV-1 (OR 3.12, 95% CI 2.0–4.8, P < 0.0001), and presenting primary resistance mutations (OR 14.1, 95% CI 3.1–62.6, P = 0.001) were more likely to be associated within a cluster. Ninety-four out of 118 patients (79.6%) with transmission resistance mutations were included in some TC. The most frequent mutations associated with clusters were T69D/N, L210W, and K219E/Q, for NRTIs, K103N, and G190A/S for NNRTIs, and the I54L/M and L90M mutations for PIs. The prevalence for resistance to NNRTIs in TCs was 13.7 per cent. There were two TCs of rarer non-B subtypes: CRF19_cpx, with twenty-one individuals, sixteen of them (76.2%) with mutation G190A; and CRF51_01B with thirty-nine patients, twenty of them with the K103N mutation. Approximately 60 per cent of newly HIV-1 diagnosed patients were included in a TC. Younger patients, MSM, non-Spanish, with non-B subtype HIV-1 and primary resistance mutations were more likely to belong to a cluster. NNRTI mutations were the most frequent ones among patients in TCs. We observed two TCs represented by infrequent non-B subtypes in our area—CRF19_cpx and CRF51_01B—both of which were associated to the transmission of primary resistance. Oxford University Press 2019-08-22 /pmc/articles/PMC6735940/ http://dx.doi.org/10.1093/ve/vez002.007 Text en © Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access publication distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstract Overview
González Domenech, Carmen M
Viciana-Ramos, Isabel
Sena-Corrales, Gabriel
Mora Navas, Laura
Ojeda, Guillermo
Nuño, Enrique
Clavijo, Encarnación
Palacios, Rosario
Santos, Jesus
A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title_full A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title_fullStr A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title_full_unstemmed A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title_short A8 Epidemiological study of transmission clusters in a local HIV-1 cohort
title_sort a8 epidemiological study of transmission clusters in a local hiv-1 cohort
topic Abstract Overview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6735940/
http://dx.doi.org/10.1093/ve/vez002.007
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