Cargando…

Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data

The CRF02_AG and sub-subtype A6 are currently the predominant HIV-1 variants in the Republic of Uzbekistan, but little is known about their time-spatial clustering patterns in high-risk populations. We have applied molecular evolution methods and network analyses to better understand the transmissio...

Descripción completa

Detalles Bibliográficos
Autores principales: Lebedev, Aleksey, Kuznetsova, Anna, Kim, Kristina, Ozhmegova, Ekaterina, Antonova, Anastasiia, Kazennova, Elena, Tumanov, Aleksandr, Mamatkulov, Adkhamjon, Kazakova, Evgeniya, Ibadullaeva, Nargiz, Brigida, Krestina, Musabaev, Erkin, Mustafaeva, Dildora, Rakhimova, Visola, Bobkova, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413238/
https://www.ncbi.nlm.nih.gov/pubmed/36016298
http://dx.doi.org/10.3390/v14081675
_version_ 1784775693363576832
author Lebedev, Aleksey
Kuznetsova, Anna
Kim, Kristina
Ozhmegova, Ekaterina
Antonova, Anastasiia
Kazennova, Elena
Tumanov, Aleksandr
Mamatkulov, Adkhamjon
Kazakova, Evgeniya
Ibadullaeva, Nargiz
Brigida, Krestina
Musabaev, Erkin
Mustafaeva, Dildora
Rakhimova, Visola
Bobkova, Marina
author_facet Lebedev, Aleksey
Kuznetsova, Anna
Kim, Kristina
Ozhmegova, Ekaterina
Antonova, Anastasiia
Kazennova, Elena
Tumanov, Aleksandr
Mamatkulov, Adkhamjon
Kazakova, Evgeniya
Ibadullaeva, Nargiz
Brigida, Krestina
Musabaev, Erkin
Mustafaeva, Dildora
Rakhimova, Visola
Bobkova, Marina
author_sort Lebedev, Aleksey
collection PubMed
description The CRF02_AG and sub-subtype A6 are currently the predominant HIV-1 variants in the Republic of Uzbekistan, but little is known about their time-spatial clustering patterns in high-risk populations. We have applied molecular evolution methods and network analyses to better understand the transmission patterns of these subtypes by analyzing 316 pol sequences obtained during the surveillance study of HIV drug resistance. Network analysis showed that about one third of the HIV infected persons were organized into clusters, including large clusters with more than 35 members. These clusters were composed mostly of injecting drug users and/or heterosexuals, with women having mainly high centrality within networks identified in both subtypes. Phylogenetic analyses of the ‘Uzbek’ sequences, including those publicly available, show that Russia and Ukraine played a role as the main sources of the current subtype A6 epidemic in the Republic. At the same time, Uzbekistan has been a local center of the CRF02_AG epidemic spread in the former USSR since the early 2000s. Both of these HIV-1 variants continue to spread in Uzbekistan, highlighting the importance of identifying transmission networks and transmission clusters to prevent further HIV spread, and the need for HIV prevention and education campaigns in high-risk groups.
format Online
Article
Text
id pubmed-9413238
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94132382022-08-27 Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data Lebedev, Aleksey Kuznetsova, Anna Kim, Kristina Ozhmegova, Ekaterina Antonova, Anastasiia Kazennova, Elena Tumanov, Aleksandr Mamatkulov, Adkhamjon Kazakova, Evgeniya Ibadullaeva, Nargiz Brigida, Krestina Musabaev, Erkin Mustafaeva, Dildora Rakhimova, Visola Bobkova, Marina Viruses Article The CRF02_AG and sub-subtype A6 are currently the predominant HIV-1 variants in the Republic of Uzbekistan, but little is known about their time-spatial clustering patterns in high-risk populations. We have applied molecular evolution methods and network analyses to better understand the transmission patterns of these subtypes by analyzing 316 pol sequences obtained during the surveillance study of HIV drug resistance. Network analysis showed that about one third of the HIV infected persons were organized into clusters, including large clusters with more than 35 members. These clusters were composed mostly of injecting drug users and/or heterosexuals, with women having mainly high centrality within networks identified in both subtypes. Phylogenetic analyses of the ‘Uzbek’ sequences, including those publicly available, show that Russia and Ukraine played a role as the main sources of the current subtype A6 epidemic in the Republic. At the same time, Uzbekistan has been a local center of the CRF02_AG epidemic spread in the former USSR since the early 2000s. Both of these HIV-1 variants continue to spread in Uzbekistan, highlighting the importance of identifying transmission networks and transmission clusters to prevent further HIV spread, and the need for HIV prevention and education campaigns in high-risk groups. MDPI 2022-07-29 /pmc/articles/PMC9413238/ /pubmed/36016298 http://dx.doi.org/10.3390/v14081675 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lebedev, Aleksey
Kuznetsova, Anna
Kim, Kristina
Ozhmegova, Ekaterina
Antonova, Anastasiia
Kazennova, Elena
Tumanov, Aleksandr
Mamatkulov, Adkhamjon
Kazakova, Evgeniya
Ibadullaeva, Nargiz
Brigida, Krestina
Musabaev, Erkin
Mustafaeva, Dildora
Rakhimova, Visola
Bobkova, Marina
Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title_full Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title_fullStr Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title_full_unstemmed Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title_short Identifying HIV-1 Transmission Clusters in Uzbekistan through Analysis of Molecular Surveillance Data
title_sort identifying hiv-1 transmission clusters in uzbekistan through analysis of molecular surveillance data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413238/
https://www.ncbi.nlm.nih.gov/pubmed/36016298
http://dx.doi.org/10.3390/v14081675
work_keys_str_mv AT lebedevaleksey identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT kuznetsovaanna identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT kimkristina identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT ozhmegovaekaterina identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT antonovaanastasiia identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT kazennovaelena identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT tumanovaleksandr identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT mamatkulovadkhamjon identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT kazakovaevgeniya identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT ibadullaevanargiz identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT brigidakrestina identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT musabaeverkin identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT mustafaevadildora identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT rakhimovavisola identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata
AT bobkovamarina identifyinghiv1transmissionclustersinuzbekistanthroughanalysisofmolecularsurveillancedata