The pilot study of the features of HIV-1 resistant variants spread using molecular clusters

Introduction. As a result of routine testing of HIV-1 drug resistance (DR), a significant amount of viral nucleotide sequences and epidemiological data of HIV-infected individuals have been collected. Combined with the increasing use of bioinformatics methods in practice, it has become possible to s...

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Main Authors: Alina A. Kirichenko, Dmitry E. Kireev, Yulia N. Sidorina, Natalia D. Abashina, Elena E. Brusentseva, Vasily G. Akimkin
Format: Article
Language:Russian
Published: Central Research Institute for Epidemiology 2024-11-01
Series:Журнал микробиологии, эпидемиологии и иммунобиологии
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Online Access:https://microbiol.crie.ru/jour/article/viewFile/18680/1515
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author Alina A. Kirichenko
Dmitry E. Kireev
Yulia N. Sidorina
Natalia D. Abashina
Elena E. Brusentseva
Vasily G. Akimkin
author_facet Alina A. Kirichenko
Dmitry E. Kireev
Yulia N. Sidorina
Natalia D. Abashina
Elena E. Brusentseva
Vasily G. Akimkin
author_sort Alina A. Kirichenko
collection DOAJ
description Introduction. As a result of routine testing of HIV-1 drug resistance (DR), a significant amount of viral nucleotide sequences and epidemiological data of HIV-infected individuals have been collected. Combined with the increasing use of bioinformatics methods in practice, it has become possible to study the features of HIV-1 resistant variants spread using molecular clustering analysis. The aim of the study was to validate the molecular clustering analysis in a pilot region of Russia using a significant number of nucleotide sequences to study the features of the spread of HIV-1 resistant variants. Materials and methods. HIV-1 nucleotide sequences were obtained from 899 HIV-infected patients who were registered at the Oryol AIDS Center in 2016–2021. HIV-1 genetic variants were determined using the Stanford University database, REGA and HIV BLAST. Resistance mutations and prognostic HIV-1 DR were determined using the Stanford University database. Phylogenetic analysis was carried out using the MEGA program. HIV-1 molecular clusters were identified using Cluster Picker software. Results. In the pilot region, sub-subtype A6 dominated (85.7%); an increase in the share of CRF63_02A6 was noted. HIV-1 resistance was found in 13.6% of patients without antiretroviral therapy (ART) experience and in 52.0% with ART experience. Molecular clusters were more often formed by HIV-1 nucleotide sequences from ART-naïve patients. HIV-1 DR variants were less likely to fall into molecular clusters. The sources of transmitted mutations were more often patients with ART experience. The most actively and efficiently transmitted mutations were K103N, V179E/T, Y181C and G190S, associated with virus resistance to efavirenz and nevirapine.
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institution Kabale University
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publishDate 2024-11-01
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series Журнал микробиологии, эпидемиологии и иммунобиологии
spelling doaj-art-73b2573588ec4e4d8eb038c84008a04e2025-01-09T20:09:08ZrusCentral Research Institute for EpidemiologyЖурнал микробиологии, эпидемиологии и иммунобиологии0372-93112686-76132024-11-01101558159310.36233/0372-9311-5652780The pilot study of the features of HIV-1 resistant variants spread using molecular clustersAlina A. Kirichenko0https://orcid.org/0000-0002-7116-0138Dmitry E. Kireev1https://orcid.org/0000-0002-7896-2379Yulia N. Sidorina2https://orcid.org/0009-0003-0888-113XNatalia D. Abashina3https://orcid.org/0009-0007-5078-8026Elena E. Brusentseva4https://orcid.org/0009-0008-8358-6145Vasily G. Akimkin5https://orcid.org/0000-0003-4228-9044Central Research Institute for EpidemiologyCentral Research Institute for EpidemiologyOryol AIDS CenterOryol AIDS CenterOryol AIDS CenterCentral Research Institute for EpidemiologyIntroduction. As a result of routine testing of HIV-1 drug resistance (DR), a significant amount of viral nucleotide sequences and epidemiological data of HIV-infected individuals have been collected. Combined with the increasing use of bioinformatics methods in practice, it has become possible to study the features of HIV-1 resistant variants spread using molecular clustering analysis. The aim of the study was to validate the molecular clustering analysis in a pilot region of Russia using a significant number of nucleotide sequences to study the features of the spread of HIV-1 resistant variants. Materials and methods. HIV-1 nucleotide sequences were obtained from 899 HIV-infected patients who were registered at the Oryol AIDS Center in 2016–2021. HIV-1 genetic variants were determined using the Stanford University database, REGA and HIV BLAST. Resistance mutations and prognostic HIV-1 DR were determined using the Stanford University database. Phylogenetic analysis was carried out using the MEGA program. HIV-1 molecular clusters were identified using Cluster Picker software. Results. In the pilot region, sub-subtype A6 dominated (85.7%); an increase in the share of CRF63_02A6 was noted. HIV-1 resistance was found in 13.6% of patients without antiretroviral therapy (ART) experience and in 52.0% with ART experience. Molecular clusters were more often formed by HIV-1 nucleotide sequences from ART-naïve patients. HIV-1 DR variants were less likely to fall into molecular clusters. The sources of transmitted mutations were more often patients with ART experience. The most actively and efficiently transmitted mutations were K103N, V179E/T, Y181C and G190S, associated with virus resistance to efavirenz and nevirapine.https://microbiol.crie.ru/jour/article/viewFile/18680/1515hiv-1drug resistanceresistance mutationsantiretroviral therapymolecular clusterstransmission clusterssurveillancegenomic surveillance
spellingShingle Alina A. Kirichenko
Dmitry E. Kireev
Yulia N. Sidorina
Natalia D. Abashina
Elena E. Brusentseva
Vasily G. Akimkin
The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
Журнал микробиологии, эпидемиологии и иммунобиологии
hiv-1
drug resistance
resistance mutations
antiretroviral therapy
molecular clusters
transmission clusters
surveillance
genomic surveillance
title The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
title_full The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
title_fullStr The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
title_full_unstemmed The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
title_short The pilot study of the features of HIV-1 resistant variants spread using molecular clusters
title_sort pilot study of the features of hiv 1 resistant variants spread using molecular clusters
topic hiv-1
drug resistance
resistance mutations
antiretroviral therapy
molecular clusters
transmission clusters
surveillance
genomic surveillance
url https://microbiol.crie.ru/jour/article/viewFile/18680/1515
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