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We studied the penetration of etravirine and HIV shedding in the genital tract among 12 HIV-1-infected women receiving an etravirine-containing regimen who had <40 copies/ml blood plasma (BP) HIV RNA. None of the cervicovaginal fluid (CVF) samples showed detectable HIV RNA. Median etravirine concentrations were 663 ng/ml in BP and 857 ng/ml in CVF, with a CVF/BP etravirine ratio of approximately 1.2. This good penetration of etravirine may contribute to the control of viral replication in the female genital tract.

We studied the penetration of raltegravir and HIV shedding in the genital tract among 14 HIV-1-infected women receiving a raltegravir-containing regimen who had <40 copies/ml blood plasma (BP) HIV RNA. None of the cervicovaginal fluid (CVF) samples showed detectable HIV RNA. Median raltegravir concentrations were 235 ng/ml in BP and 93 ng/ml in CVF, with a CVF/BP ratio of approximately 2.3. This good penetration of raltegravir may contribute to the control of viral replication in the female genital tract.

We assessed the roles of baseline gag and gag-pol cleavage site mutations (CSM) on the virological outcome of a darunavir-based regimen in highly antiretroviral-experienced patients. We showed the association, in multivariate analysis, between the A431V gag CSM and the virological response, defined as a reduction in plasma HIV-1 RNA to <50 copies/ml at month 3 (P = 0.028). Our results suggest that a specific gag CSM might have a role on protease inhibitor susceptibility in an inhibitor-specific manner.

Genotypic algorithms for prediction of HIV-1 coreceptor usage need to be evaluated in a clinical setting. We aimed at studying (i) the correlation of genotypic prediction of coreceptor use in comparison with a phenotypic assay and (ii) the relationship between genotypic prediction of coreceptor use at baseline and the virological response (VR) to a therapy including maraviroc (MVC). Antiretroviral-experienced patients were included in the MVC Expanded Access Program if they had an R5 screening result with Trofile (Monogram Biosciences). V3 loop sequences were determined at screening, and coreceptor use was predicted using 13 genotypic algorithms or combinations of algorithms. Genotypic predictions were compared to Trofile; dual or mixed (D/M) variants were considered as X4 variants. Both genotypic and phenotypic results were obtained for 189 patients at screening, with 54 isolates scored as X4 or D/M and 135 scored as R5 with Trofile. The highest sensitivity (59.3%) for detection of X4 was obtained with the Geno2pheno algorithm, with a false-positive rate set up at 10% (Geno2pheno10). In the 112 patients receiving MVC, a plasma viral RNA load of <50 copies/ml was obtained in 68% of cases at month 6. In multivariate analysis, the prediction of the X4 genotype at baseline with the Geno2pheno10 algorithm including baseline viral load and CD4 nadir was independently associated with a worse VR at months 1 and 3. The baseline weighted genotypic sensitivity score was associated with VR at month 6. There were strong arguments in favor of using genotypic coreceptor use assays for determining which patients would respond to CCR5 antagonist.

The objective of this study was to characterize the mutations selected by darunavir (DRV) use in protease inhibitor (PI)-experienced patients and the associated factors. We analyzed treatment failure in 54 PI-experienced human immunodeficiency virus (HIV)-infected patients on a DRV- and ritonavir-containing regimen. Viral genotyping was carried out at the baseline, at between 1 and 3 months of treatment, and at between 3 and 6 months of treatment to search for the selection of mutations conferring resistance to PIs. The median baseline HIV RNA level was 4.9 log(10) copies/ml, and the median CD4 count was 87 cells/mm(3). At the baseline, the median numbers of resistance mutations were as follows: 3 DRV resistance mutations, 4 major PI resistance mutations, and 10 minor PI resistance mutations. The most common mutations that emerged at rebound included V32I (44%), I54M/L (24%), L33F (25%), I84V (21%), and L89V (12%). Multivariate analysis showed that higher baseline HIV RNA levels and smaller numbers of nucleoside reverse transcriptase inhibitor simultaneously used with DRV were associated with a higher risk of DRV resistance mutation selection. By contrast, L76V, a known DRV resistance mutation, was found to decrease the risk of selection of another DRV resistance mutation. The occurrence of virological failure while a patient was on DRV was associated with the selection of mutations that increased the level of DRV resistance without affecting susceptibility to tipranavir (TPV). In these PI-treated patients who displayed treatment failure while they were on a DRV-containing regimen, we confirmed the set of emerging mutations associated with DRV failure and identified the factors associated with the selection of these mutations. TPV susceptibility does not seem to be affected by the selection of a DRV resistance mutation.