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1.
PLoS One ; 14(5): e0217063, 2019.
Article in English | MEDLINE | ID: mdl-31136611

ABSTRACT

HIV-1 strain diversity in Bulgaria is extensive and includes contributions from nearly all major subtypes and the Circulating Recombinant Forms (CRF): 01_AE, 02_AG, and 05_DF. Prior to this study, HIV-1 sequence information from Bulgaria has been based solely on the pro-RT gene, which represent less than 15% of the viral genome. To further characterize HIV-1 in Bulgaria, assess participant risk behaviors, and strengthen knowledge of circulating strains in the region, the study "Genetic Subtypes of HIV-1 in Bulgaria (RV240)" was conducted. This study employed the real time-PCR based Multi-region Hybridization Assay (MHA) B/non-B and HIV-1 sequencing to survey 215 of the approximately 1100 known HIV-1 infected Bulgarian adults (2008-2009) and determine if they were infected with subtype B HIV-1. The results indicated a subtype B prevalence of 40% and demonstrate the application of the MHA B/non-B in an area containing broad HIV-1 strain diversity. Within the assessed risk behaviors, the proportion of subtype B infection was greatest in men who have sex with men and lowest among those with drug use risk factors. During this study, 15 near full-length genomes and 22 envelope sequences were isolated from study participants. Phylogenetic analysis shows the presence of subtypes A1, B, C, F1, and G, CRF01_AE, CRF02_AG, CRF05_DF, and one unique recombinant form (URF). These sequences also show the presence of two strain groups containing participants with similar risk factors. Previous studies in African and Asian cohorts have shown that co-circulation of multiple subtypes can lead to viral recombination within super-infected individuals and the emergence of new URFs. The low prevalence of URFs in the presence of high subtype diversity in this study, may be the result of successful infection prevention and control programs. Continued epidemiological monitoring and support of infection prevention programs will help maintain control of the HIV-1 epidemic in Bulgaria.


Subject(s)
Genetic Variation , HIV Infections/epidemiology , HIV Infections/virology , HIV-1/genetics , Adult , Bulgaria/epidemiology , Female , Genome, Viral , Geography , HIV Seropositivity/epidemiology , HIV Seropositivity/virology , Homosexuality, Male , Humans , Male , Middle Aged , Molecular Epidemiology , Phylogeny , Prevalence , Real-Time Polymerase Chain Reaction , Regression Analysis , Risk Factors , Risk-Taking , Substance-Related Disorders/prevention & control
2.
AIDS Res Hum Retroviruses ; 24(6): 771-9, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18544022

ABSTRACT

Little is known about the HIV-1 epidemic in Balkan countries. To fill the gap, we investigated the viral genetic diversity in Bulgaria, by sequencing and phylogenetic characterization of 86 plasma samples collected between 2002 and 2006 from seropositive individuals diagnosed within 1986-2006. Analysis of pol gene sequences assigned 51% of the samples to HIV-1 subtype B and 27% to subtype A1. HIV-1 subtype C, F, G, H, and a few putative recombinant forms were also found. Phylogenetic and molecular clock analysis showed a continuous exchange of subtype A and B between Bulgaria and Western as well as other Eastern European countries. At least three separate introductions of HIV-1 subtype A and four of HIV-1 subtype B have occurred within the past 25 years in Bulgaria. The central geographic location of Bulgaria, the substantial genetic heterogeneity of the epidemic with multiple subtypes, and the significant viral flow observed to and from the Balkan countries have the potential to modify the current HIV-1 epidemiological structure in Europe and highlight the importance of more extensive and continuous monitoring of the epidemic in the Balkans.


Subject(s)
Disease Outbreaks , Gene Flow , HIV-1/genetics , pol Gene Products, Human Immunodeficiency Virus/genetics , Adult , Base Sequence , Bayes Theorem , Bulgaria/epidemiology , Cohort Studies , Emigration and Immigration , Female , Genetic Variation , HIV Infections/epidemiology , HIV Infections/genetics , Humans , Likelihood Functions , Male , Molecular Epidemiology , Molecular Sequence Data , Monte Carlo Method , Phylogeny , RNA, Viral/blood , Sequence Alignment , Sequence Analysis, RNA , Time Factors
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