Impact of HIV-1 subtype and antiretroviral therapy on protease and reverse transcriptase genotype: results of a global collaboration.

BACKGROUND: The genetic differences among HIV-1 subtypes may be critical to clinical management and drug resistance surveillance as antiretroviral treatment is expanded to regions of the world where diverse non-subtype-B viruses predominate. METHODS AND FINDINGS: To assess the impact of HIV-1 subtype and antiretroviral treatment on the distribution of mutations in protease and reverse transcriptase, a binomial response model using subtype and treatment as explanatory variables was used to analyze a large compiled dataset of non-subtype-B HIV-1 sequences. Non-subtype-B sequences from 3,686 persons with well characterized antiretroviral treatment histories were analyzed in comparison to subtype B sequences from 4,769 persons. The non-subtype-B sequences included 461 with subtype A, 1,185 with C, 331 with D, 245 with F, 293 with G, 513 with CRF01_AE, and 618 with CRF02_AG. Each of the 55 known subtype B drug-resistance mutations occurred in at least one non-B isolate, and 44 (80%) of these mutations were significantly associated with antiretroviral treatment in at least one non-B subtype. Conversely, of 67 mutations found to be associated with antiretroviral therapy in at least one non-B subtype, 61 were also associated with antiretroviral therapy in subtype B isolates. CONCLUSION: Global surveillance and genotypic assessment of drug resistance should focus primarily on the known subtype B drug-resistance mutations.

Characterization of human immunodeficiency virus type 1 from a previously unexplored region of South Africa with a high HIV prevalence.

HIV prevalence in the Limpopo Province has increased rapidly within the past 10 years, as in other parts of South Africa. Little is known about the genetic and biological properties of HIV circulating in this region including the baseline drug resistance profiles. We therefore collected blood samples from 42 HIV-1-infected patients residing in this region for analysis. All samples were shown to belong to HIV-1 subtype C by env and gag heteroduplex mobility assay (HMA). Viral isolates from 14 of these patients were shown to use the CCR5 coreceptor exclusively and had gp120 V3 loop sequences consistent with this phenotype. Sequence analysis of both protease and reverse transcriptase genes showed that none of 13 isolates harbored primary resistance mutations. These data suggest that HIV-1 subtype C is the predominant subtype circulating in the Limpopo Province, and that viral strains from this region are indistinguishable from those found in other parts of South Africa.

Low frequency of the V106M mutation among HIV-1 subtype C-infected pregnant women exposed to nevirapine.

Nevirapine used in single doses to prevent mother-to-child transmission has been shown to be associated with the development of transient resistant mutations. Here we describe the presence of V106M in seven out of 141 South African women (5%) 6 weeks after receiving nevirapine. V106M is a novel resistance mutation found in subtype C viruses exposed to efavirenz. This mutation is thus also induced at a low frequency in subtype C viruses exposed to single dose nevirapine.

Sensitivity of HIV type 1 subtype C isolates to the entry inhibitor T-20.

T-20 is the first in a new class of antiretroviral drugs targeting the entry stage of the virus life cycle. It is a 36 amino acid peptide that binds to the HR1 region of gp41 preventing gp41-mediated fusion with the host cell membrane. T-20 was designed based on the HR2 sequence of HIV-1 subtype B gp41, a region that shows significant genetic variation with HIV-1 subtype C sequences. In order to assess the efficacy of T-20 to inhibit subtype C isolates, a total of 23 isolates were tested for their ability to replicate in the presence of T-20. This included 15 isolates that used CCR5, five that used both CCR5 and CXCR4, and three that used CXCR4. Five of these were from patients failing other antiretroviral therapies. Sequence analysis of the HR2 region indicated that there were 10-16 amino acid changes in the region corresponding to T-20. However, all isolates were effectively inhibited by T-20 at 1 microg/ml. There were no significant differences between viruses that used CCR5 or CXCR4 to enter cells. All isolates, except one, had GIV at positions 36-38 in the HR1 region. One isolate had a GVV motif but this did not affect its sensitivity to T-20. Therefore, T-20 inhibited subtype C viruses despite significant genetic differences in the HR2 region and there was no evidence for baseline resistance to T-20. These data suggest that T-20 would be highly effective in patients with HIV-1 subtype C infection, including those failing existing antiretroviral drug regimens.

HIV-1 subtype C reverse transcriptase sequences from drug-naive pregnant women in South Africa.

The HIV-1 reverse transcriptase genes from 37 HIV-1-positive pregnant women attending an antenatal clinical in Soweto, South Africa were sequenced and analyzed for the presence of drug resistance mutations. All women were antiretroviral drug naive, but were being screened as potential participants in clinical trials of antiretroviral drugs aimed at preventing mother-to-child transmission. Sequence analysis revealed that all belonged to HIV-1 subtype C, the predominant subtype among heterosexual populations in South Africa. Twenty-three amino acid loci associated with resistance to zidovudine, lamivudine, didanosine, stavudine, and nevirapine were examined and found not to encode mutations that would confer resistance to these drugs. Polymorphisms at these loci occurred infrequently, with three patients harboring the A98S and V179I polymorphisms. An additional three patients harbored V118I, which can function as an accessory resistance mutation, but in this context is also likely to be a polymorphism. These data show that pregnant women who are candidates for receiving antiretroviral drug therapies do not contain naturally occurring or preexisting drug resistance mutations and that such drug therapies are likely to be highly effective in this setting.

HIV type 1 subtype C drug resistance among pediatric and adult South African patients failing antiretroviral therapy.

The emergence of HIV drug resistance is a major obstacle to effective antiretroviral (ARV) treatments. This study examined the drug resistance profiles among South African patients virologically failing ARV therapies between 2000 and 2003, prior to the introduction of a national treatment program. Samples were obtained from 65 HIV-1 subtype C-infected patients (39 children and 26 adults) who had received at least two nucleoside reverse transcriptase inhibitors (NRTIs) and either a nonnucleoside reverse transcriptase inhibitor (NNRTI) or protease inhibitor (PI). Resistance assays were performed using the HIV-1 ViroSeq Genotyping System and mutations were defined according to the Stanford Sequence Resistance Database. Ninety-one percent of patients harbored resistance mutations; the most frequent NRTI mutations were M184V/I (37%), D67N (32%), T215Y/F (25%), K70R (21%), M41L (20%), K219Q/E (14%), and K65R (14%), reflecting the frequent use of lamuvidine and zidovudine. K103N (25%), V106M (20%), and G190A (17%) were found among patients failing nevirapine- or efavirenz-containing regimens. Of the patients who received PIs, the most common mutations were V82A/T (12%), M46I (11%), and L90M (8%). Mutations were similar among adults and children. These data indicate that HIV-1 drug resistance develops in South African subtype C-infected patients failing ARV therapy with mutations comparable to those found among patients infected with subtype B viruses.

Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent.

The major limitation of drug resistance genotyping for human immunodeficiency virus remains the interpretation of the results. We evaluated the concordance in predicting therapy response between four different interpretation algorithms (Rega 6.3, HIVDB-08/04, ANRS [07/04], and VGI 8.0). Sequences were gathered through a worldwide effort to establish a database of non-B subtype sequences, and demographic and clinical information about the patients was gathered. The most concordant results were found for nonnucleoside reverse transcriptase (RT) inhibitors (93%), followed by protease inhibitors (84%) and nucleoside RT inhibitor (NRTIs) (76%). For therapy-naive patients, for nelfinavir, especially for subtypes C and G, the discordances were driven mainly by the protease (PRO) mutational pattern 82I/V + 63P + 36I/V for subtype C and 82I + 63P + 36I + 20I for subtype G. Subtype F displayed more discordances for ritonavir in untreated patients due to the combined presence of PRO 20R and 10I/V. In therapy-experienced patients, subtype G displayed a lot of discordances for saquinavir and indinavir due to mutational patterns involving PRO 90 M and 82I. Subtype F had more discordance for nelfinavir attributable to the presence of PRO 88S and 82A + 54V. For the NRTIs lamivudine and emtricitabine, CRF01_AE had more discordances than subtype B due to the presence of RT mutational patterns 65R + 115 M and 118I + 215Y, respectively. Overall, the different algorithms agreed well on the level of resistance scored, but some of the discordances could be attributed to specific (subtype-dependent) combinations of mutations. It is not yet known whether therapy response is subtype dependent, but the advice given to clinicians based on a genotypic interpretation algorithm differs according to the subtype.