Non-nucleoside phenotypic hypersusceptibility cut-point determination from ACTG 359.

PURPOSE: Non-nucleoside reverse transcriptase inhibitor (NNRTI) hypersusceptibility (HS) improves virologic response to those agents, but phenotypic susceptibility cut-points, and methods to determine the cut-points, have not been completely defined. METHOD: Phenotypic drug susceptibility (fold change in IC50 [FC]) was determined for 96 randomly selected antiretroviral-experienced, NNRTI-naive patients who received a delavirdine (DLV)-containing regimen in ACTG 359. A weighted FC score was used to account for other regimen agents. Regression models were used to define baseline DLV HS cut-points using week 4 or week 16 responses. RESULTS: At study entry, DLV HS was present in 36% (35/96) of patients. Models explored HS cut-points from 0.2-1.0 using the week 4 virologic response. Using either a binary or continuous endpoint, DLV HS cut-points between 0.3 and 0.4 were identified. The classification and regression tree (CART) analysis identified baseline DLV FC <0.44 as a predictor of week 4 response. CONCLUSIONS: In relating drug HS to virologic response, several different analytic methods identified a DLV HS FC cut-point of 0.3-0.4. In refining phenotypic cut-points, early virologic responses (not confounded by rebound) may be better metrics than later responses, especially for drugs with low genetic barriers, such as DLV.

Baseline resistance to nucleoside reverse transcriptase inhibitors fails to predict virologic response to combination therapy in children (PACTG 338).

BACKGROUND: The association between baseline drug resistance mutations and subsequent increase in viral failure has not been established for HIV-infected children. We evaluated drug resistance mutations at 39 codon sites (21 protease inhibitor (PI) resistant codons and 18 nucleoside reverse transcriptase inhibitor (NRTI) resistant codons) for 92 clinically stable NRTI-experienced, PI-naive HIV-infected children 2 to 17 years of age who were initiating new therapy with ritonavir plus zidovudine (ZDV) and lamivudine or plus stavudine. The association between baseline drug resistance mutations and subsequent viral failure after 12 and 24 weeks of highly active antiretroviral therapy (HAART) was studied. RESULTS: There were few primary PI associated mutations in this PI-naïve population, but 84% had NRTI mutations--codons 215 (66%), 41 (42%), 67 (37%), 210 (33%) and 70 (32%). None of the specific baseline drug resistance mutations were associated with a higher rate of virologic failure after 12 or 24 weeks of HAART. Median week 12 viral load decreased as the total number of NRTI mutations at baseline increased (P = 0.006). Specifically, a higher level of baseline ZDV resistance mutation was associated with a decrease in viral failure after 12 weeks on a ZDV-containing HAART regimen (P = 0.017). CONCLUSION: No increase was seen in the rate of viral failure after HAART associated with the presence of resistance mutations at baseline. This paradoxical result may be due to adherence, replicative capacity, or ZDV hypersusceptibility to the new regimen.

Genotypic susceptibility scores and HIV type 1 RNA responses in treatment-experienced subjects with HIV type 1 infection.

This study compared the role of genotypic susceptibility scores (GSS) as a predictor of virologic response in a group (n = 234) of HIV-infected, protease inhibitor (PI)-experienced subjects. Two scoring methods [discrete genotypic susceptibility score (dGSS) and continuous genotypic susceptibility score (cGSS)] were developed. Each drug in the subject's regimen was given a binary susceptibility score using Stanford inferred drug resistance scores to calculate the dGSS. In contrast to the dGSS, the cGSS model was designed to reflect partial susceptibility to a drug. Both GSS were independent predictors of week 16 virologic response. We also compared the GSS to a phenotypic susceptibility score (PSS) model on a subset of subjects that had both GSS and PSS performed, and found that both models were predictive of virologic response. Genotypic analyses at enrollment showed that subjects who were virologic nonresponders at week 16 revealed enrichment of several mutated codons associated with nucleoside reverse transcriptase inhibitors (NRTI) (codons 67, 69, 70, 118, 215, and 219) or PI resistance (codons 10, 24, 71, 73, and 88) compared to subjects who were virologic responders. Regression analyses revealed that protease mutations at codons 24 and 90 were most predictive of poor virologic response, whereas mutations at 82 were associated with enhanced virologic response. Certain NNRTI-associated mutations, such as K103N, were rapidly selected in the absence of NRTIs. These data indicate that GSS may be a useful tool in selecting drug regimens in HIV-1-infected subjects to maximize virologic response and improve treatment outcomes.

Protease inhibitor and nonnucleoside reverse transcriptase inhibitor concentrations in the genital tract of HIV-1-infected women.

The pharmacokinetics of antiretrovirals (ARVs) in the female genital tract (FGT) are likely to influence vertical and sexual transmission of HIV, the development of viral resistance, and post-exposure prophylaxis regimens. This study is the first to compare ARV concentrations in direct aspirates of cervicovaginal fluid (CVF) and blood plasma (BP). This unique method provides direct assessment of concentrations without the confounding of cervicovaginal lavage dilution. Of 8 ARVs, CVF concentrations ranged from <10% to >100% of BP concentrations. These large differences in CVF penetration suggest that further research into ARV pharmacokinetics and drug efficacy in the FGT is necessary.

Pharmacokinetic and pharmacodynamic investigation of efavirenz in the semen and blood of human immunodeficiency virus type 1-infected men.

Therapeutic concentrations of antiretroviral agents in seminal plasma (SP) may reduce virus burden and influence sexual transmission of human immunodeficiency virus (HIV) type 1. This study compared the pharmacokinetic, pharmacodynamic, and dose responses of efavirenz (EFV) in SP versus those in blood plasma (BP). A total of 431 BP samples and 157 SP samples were obtained over a period of 40 days, from 9 EFV-naive men (i.e., men about to receive EFV for the first time) and from 12 EFV-experienced men (i.e., men already receiving EFV as part of an antiretroviral regimen). Overall, median EFV exposure in SP was 3.4% (range, 2.0%-5.0%) of that in BP. However, all EFV concentrations in SP were >/=40-fold higher than the wild-type IC(90) (IC(90)(WT)) for HIV-1. During the dosing interval, no single SPrcolon;BP EFV-concentration ratio was significantly predictive of the absolute measure of exposure in SP. By day 40, HIV-1 RNA in SP was undetectable in 8 (89%) of 9 EFV-naive men and remained undetectable in 10 (83%) of 12 EFV-experienced men. In SP, EFV reaches concentrations above the HIV-1 IC(90)(WT) throughout the dosing interval. EFV-containing regimens effectively suppress HIV-1 RNA in SP.