Person who inject illicit
substances have an important role in HIV-1 blood and sexual transmission and
together with person who uses heavy non-injecting drugs may have less than
optimal adherence to anti-retroviral treatment and eventually could transmit
resistant HIV variants. Unfortunately, molecular biology data on such key
population remain fragmentary in most low and middle-income countries.
The aim
of the present study was to assess HIV infection rates, evaluate HIV-1 genetic
diversity, drug resistance, and to identify HIV transmission clusters in heavy
drug users (DUs). For this purpose, DUs were recruited in the context of a
Respondent-Driven Sampling (RDS) study in different Brazilian cities during
2009. Overall, 2,812 individuals were tested for HIV, and 168 (6%) of them were
positive, of which 19 (11.3%) were classified as recent seroconverters,
corresponding to an estimated incidence rate of 1.58%/year (95% CI 0.92–2.43%).
Neighbor joining phylogenetic trees from env and polregions and bootscan analyses were employed to
subtype the virus from132 HIV-1-infected individuals. HIV-1 subtype B was
prevalent in most of the cities under analysis, followed by BF recombinants
(9%-35%). HIV-1 subtype C was the most prevalent in Curitiba (46%) and Itajaí
(86%) and was also detected in Brasília (9%) and Campo Grande (20%). Pure
HIV-1F infections were detected in Rio de Janeiro (9%), Recife (6%), Salvador
(6%) and Brasília (9%). Clusters of HIV transmission were assessed by Maximum
likelihood analyses and were cross-compared with the RDS network structure.
Drug resistance mutations were verified in 12.2% of DUs.
Our findings reinforce
the importance of the permanent HIV-1 surveillance in distinct Brazilian cities
due to viral resistance and increasing subtype heterogeneity all over Brazil,
with relevant implications in terms of treatment monitoring, prophylaxis and
vaccine development.
Below: Map of Brazil showing the frequency of HIV-1 genetic
variants across the nine studied cities/State [Recife (PE), Salvador
(BA)—Northeast region], [Rio de Janeiro (RJ), Belo Horizonte (MG)—Southeast
region], [Itajaí (SC), Curitiba (PR)—South Region], [Campo Grande (MS),
Brasilia (DF)—Center West region]. The number of env and pol analyzed
samples was depicted in each graphic.
Full article at: http://goo.gl/rhr71z
By:
Monick Lindenmeyer Guimarães, Bianca Cristina Leires
Marques, Sylvia Lopes Maia Teixeira, Mariza Gonçalves Morgado
Laboratório de AIDS e Imunologia
Molecular, Instituto Oswaldo Cruz- FIOCRUZ, Rio de Janeiro, Brasil
Neilane Bertoni, Francisco Inácio Bastos
Instituto de Comunicação e
Informação Científica e Tecnológica em Saúde- FIOCRUZ, Rio de Janeiro, Brasil
More at: https://twitter.com/hiv_insight
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