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1.
Front Microbiol ; 11: 438, 2020.
Article in English | MEDLINE | ID: mdl-32265875

ABSTRACT

The South African national combination antiretroviral therapy (cART) roll-out program started in 2006, with over 4.4 million people accessing treatment since it was first introduced. HIV-1 drug resistance can hamper the success of cART. This study determined the patterns of HIV-1 drug-resistance associated mutations (RAMs) in People Living with HIV-1 (PLHIV-1). Receiving first (for children below 3 years of age) and second-line (for adults) cART regimens in South Africa. During 2017 and 2018, 110 patients plasma samples were selected, 96 samples including those of 17 children and infants were successfully analyzed. All patients were receiving a boosted protease inhibitor (bPI) as part of their cART regimen. The viral sequences were analyzed for RAMs through genotypic resistance testing. We performed genotypic resistance testing (GRT) for Protease inhibitors (PIs), Reverse transcriptase inhibitors (RTIs) and Integrase strand transfer inhibitors (InSTIs). Viral sequences were subtyped using REGAv3 and COMET. Based on the PR/RT sequences, HIV-1 subtypes were classified as 95 (99%) HIV-1 subtype C (HIV-1C) while one sample as 02_AG. Integrase sequencing was successful for 89 sequences, and all the sequences were classified as HIV-1C (99%, 88/89) except one sequence classified CRF02_AG, as observed in PR/RT. Of the 96 PR/RT sequences analyzed, M184V/I (52/96; 54%) had the most frequent RAM nucleoside reverse transcriptase inhibitor (NRTI). The most frequent non-nucleoside reverse transcriptase inhibitor (NNRTI) RAM was K103N/S (40/96, 42%). Protease inhibitor (PI) RAMs M46I and V82A were present in 12 (13%) of the sequences analyzed. Among the InSTI major RAM two (2.2%) sequences have Y143R and T97A mutations while one sample had T66I. The accessory RAM E157Q was identified in two (2.2%). The data indicates that the majority of the patients failed on bPIs didn't have any mutation; therefore adherence could be major issue in these groups of individuals. We propose continued viral load monitoring for better management of infected PLHIV.

2.
AIDS Res Hum Retroviruses ; 36(5): 450-455, 2020 05.
Article in English | MEDLINE | ID: mdl-31830799

ABSTRACT

The World Health Organization (WHO) has put forth recommendations for the use of integrase (IN) strand transfer inhibitors (INSTIs) to be part of the first-line combination antiretroviral therapy regimen to treat HIV infections. The knowledge of pretreatment drug resistance against INSTIs is still scarce in resource-limited settings (RLS). We characterized the integrase gene to identify resistance-associated mutations (RAMs) in 56 INSTI-naive patient viral sequences from Cameroon. Study analysis used 37 sequences with fragment size ≥500 bp or of good quality .The majority of the sequences were identified as CRF02_AG 54.% (n = 20/37) and 45.9% (n = 17/37), other subtype viral sequences include (A, CRF36_cpx, F,G, and C). A total of 18.9% (n = 7/37) of the sequences had RAMs, with only 5.4% (n = 2/37) having major RAMs (Y143R/C/D/G and P145S), against INSTIs. Accessory RAMs were present in 8.1% (n = 3/37) of the sequences, of which one sequence contained solely E157Q, and another Q95K. One patient sequence had three accessory RAMs (G140E, E157Q, and G163R). We identified major RAMs to INSTIs, which might have a potential clinical impact to dolutegravir rollout in RLS, including Cameroon. This is the first study to describe RAMs among INSTI-naive people living with HIV-1 (PLHIV-1) infected with CRF02_AG and other subtypes in Cameroon.


Subject(s)
HIV Infections/virology , HIV Integrase/genetics , HIV-1/genetics , Mutation , Polymorphism, Genetic , Cameroon , Cohort Studies , Drug Resistance, Viral/genetics , Genotype , HIV Infections/drug therapy , HIV Integrase Inhibitors/therapeutic use , HIV-1/enzymology , Humans , Phylogeny , RNA, Viral/genetics , Sequence Analysis, DNA
3.
Sci Rep ; 8(1): 6262, 2018 Apr 16.
Article in English | MEDLINE | ID: mdl-29662113

ABSTRACT

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

4.
Sci Rep ; 8(1): 4709, 2018 03 16.
Article in English | MEDLINE | ID: mdl-29549274

ABSTRACT

HIV-Integrase (IN) has proven to be a viable target for highly specific HIV-1 therapy. We aimed to characterize the HIV-1 IN gene in a South African context and identify resistance-associated mutations (RAMs) against available first and second generation Integrase strand-transfer inhibitors (InSTIs). We performed genetic analyses on 91 treatment-naïve HIV-1 infected patients, as well as 314 treatment-naive South African HIV-1 IN-sequences, downloaded from Los Alamos HIV Sequence Database. Genotypic analyses revealed the absence of major RAMs in the cohort collected before the broad availability of combination antiretroviral therapy (cART) and INSTI in South Africa, however, occurred at a rate of 2.85% (9/314) in database derived sequences. RAMs were present at IN-positions 66, 92, 143, 147 and 148, all of which may confer resistance to Raltegravir (RAL) and Elvitegravir (EVG), but are unlikely to affect second-generation Dolutegravir (DTG), except mutations in the Q148 pathway. Furthermore, protein modeling showed, naturally occurring polymorphisms impact the stability of the intasome-complex and therefore may contribute to an overall potency against InSTIs. Our data suggest the prevalence of InSTI RAMs, against InSTIs, is low in South Africa, but natural polymorphisms and subtype-specific differences may influence the effect of individual treatment regimens.


Subject(s)
Drug Resistance, Viral , HIV Infections/genetics , HIV Integrase Inhibitors/pharmacology , HIV Integrase/metabolism , HIV-1/genetics , Mutation , Genotype , HIV Infections/drug therapy , HIV Infections/epidemiology , HIV Infections/virology , HIV Integrase/chemistry , HIV Integrase/genetics , HIV-1/drug effects , HIV-1/enzymology , Humans , Microbial Sensitivity Tests , Models, Molecular , South Africa/epidemiology , Virus Replication
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