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1.
Pediatr Infect Dis J ; 38(5): 503-507, 2019 05.
Article in English | MEDLINE | ID: mdl-30640198

ABSTRACT

BACKGROUND: The main objective of this study was to determine the frequency and patterns of HIV drug resistance-associated mutations among children under 18 months of age born to HIV-1-positive mothers enrolled in the prevention of mother-to-child transmission services in Haiti. METHODS: Between January 1, 2013 and December 31, 2014, HIV-positive remnant dried blood spots collected from children under 18 months of age for Early Infant Diagnosis at the National Public Health Laboratory were used for HIV-1 genotyping. HIV drug resistance mutations were analyzed using the Stanford Drug Resistance HIVdb program. RESULTS: Of the 3555 dried blood spots collected for Early Infant Diagnosis, 360 (10.1%) were HIV-positive and 355 were available for genotyping. Of these, 304 (85.6%) were successfully genotyped and 217 (71.4%) had ≥1 drug resistance mutation. Mutations conferring resistance to nucleoside reverse transcriptase inhibitor (NRTIs) and non-NRTIs were present in 40.5% (123) and 69.1% (210), respectively. The most frequent mutations were K103N/S (48.0%), M184V (37.5%), G190A/S (15.1%), and Y181C/G/V (14.1%). Predicted drug resistance analysis revealed that 68.8% of the children had high-level resistance to non-NRTIs and 11.5% had intermediate to high-level resistance to abacavir. CONCLUSIONS: This study showed high rates of resistance to NRTIs and non-NRTIs among newly HIV-diagnosed children in Haiti, suggesting that in the era of "Option B+" (initiation of lifelong combination antiretroviral therapy to pregnant women with HIV), the majority of children who acquire HIV infection through mother-to-child transmission of HIV have resistant HIV. These results have led the National HIV Program to revise the pediatric guidelines to include protease inhibitors in first-line regimens for all HIV-positive newborns.


Subject(s)
Drug Resistance, Viral , HIV Infections/virology , HIV-1/genetics , Infectious Disease Transmission, Vertical , Female , Genotype , Genotyping Techniques , HIV Infections/transmission , HIV-1/drug effects , HIV-1/isolation & purification , Haiti , Humans , Infant , Infant, Newborn , Male , Mutation, Missense , Pregnancy , Prevalence
2.
J Virol ; 87(13): 7463-70, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23616665

ABSTRACT

Human immunodeficiency virus type 1 (HIV-1) variants show considerable geographical separation across the world, but there is limited information from Central America. We provide the first detailed investigation of the genetic diversity and molecular epidemiology of HIV-1 in six Central American countries. Phylogenetic analysis was performed on 625 HIV-1 pol gene sequences collected between 2002 and 2010 in Honduras, El Salvador, Nicaragua, Costa Rica, Panama, and Belize. Published sequences from neighboring countries (n = 57) and the rest of the world (n = 740) were included as controls. Maximum likelihood methods were used to explore phylogenetic relationships. Bayesian coalescence-based methods were used to time HIV-1 introductions. Nearly all (98.9%) Central American sequences were of subtype B. Phylogenetic analysis revealed that 437 (70%) sequences clustered within five significantly supported monophyletic clades formed essentially by Central American sequences. One clade contained 386 (62%) sequences from all six countries; the other four clades were smaller and more country specific, suggesting discrete subepidemics. The existence of one large well-supported Central American clade provides evidence that a single introduction of HIV-1 subtype B in Central America accounts for most current cases. An introduction during the early phase of the HIV-1 pandemic may explain its epidemiological success. Moreover, the smaller clades suggest a subsequent regional spread related to specific transmission networks within each country.


Subject(s)
Evolution, Molecular , Genetic Variation , HIV Infections/epidemiology , HIV Infections/virology , HIV-1/genetics , Phylogeny , Base Sequence , Bayes Theorem , Central America/epidemiology , HIV Infections/transmission , HIV-1/classification , Humans , Likelihood Functions , Models, Genetic , Molecular Epidemiology , Molecular Sequence Data , Prevalence , Sequence Alignment , Sequence Analysis, DNA , pol Gene Products, Human Immunodeficiency Virus/genetics
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