| Autor: |
Delatorre E; Laboratório de AIDS & Imunologia Molecular, Instituto Oswaldo Cruz , FIOCRUZ, Rio de Janeiro, Brazil ., Couto-Fernandez JC; Laboratório de AIDS & Imunologia Molecular, Instituto Oswaldo Cruz , FIOCRUZ, Rio de Janeiro, Brazil ., Bello G; Laboratório de AIDS & Imunologia Molecular, Instituto Oswaldo Cruz , FIOCRUZ, Rio de Janeiro, Brazil . |
| Jazyk: |
angličtina |
| Zdroj: |
AIDS research and human retroviruses [AIDS Res Hum Retroviruses] 2017 Jul; Vol. 33 (7), pp. 639-647. Date of Electronic Publication: 2017 Apr 25. |
| DOI: |
10.1089/AID.2017.0045 |
| Abstrakt: |
The Northeastern Brazilian region has experienced a constant increase in the number of newly reported AIDS cases over the last decade, but the genetic diversity of HIV-1 strains currently disseminated in this region remains poorly explored. HIV-1 pol sequences were obtained from 140 patients followed at outpatient clinics from four Northeastern Brazilian states (Alagoas, Bahia, Ceará, and Piauí) between 2014 and 2015. Subtype B was the most prevalent HIV-1 clade (72%) detected in the Northeastern region, followed by subtypes F1 (6%), C (5%), and D (1%). The remaining strains (16%) displayed a recombinant structure and were classified as follows: BF1 (11%), BC (4%), BCF1 (1%), and CRF02_AG like (1%). The 20 HIV-1 BF1 and BC recombinant sequences detected were distributed among 11 lineages classified as follows: CRF28/29_BF like (n = 5), CRF39_BF like (n = 1), URF_BF (n = 9), and URF_BC (n = 5). Non-B subtypes were detected in all Northeastern Brazilian states, but with variable prevalence, ranging from 16% in Ceará to 55% in Alagoas. Phylogenetic analyses support that subtype D and CRF02_AG strains detected in the Northeastern region resulted from the expansion of autochthonous transmission networks, rather than from exogenous introductions from other countries. These results reveal that HIV-1 epidemic spreading in the Northeastern Brazilian region comprised by multiple subtypes and recombinant strains and the molecular epidemiologic pattern in this Brazilian region is much more complex than originally estimated. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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