Pharmacokinetic interaction between etravirine or darunavir/ritonavir and artemether/lumefantrine in healthy volunteers: a two-panel, two-way, two-period, randomized trial.

OBJECTIVES: Etravirine is a substrate and inducer of cytochrome P450 (CYP) 3A and a substrate and inhibitor of CYP2C9 and CYPC2C19. Darunavir/ritonavir is a substrate and inhibitor of CYP3A. Artemether and lumefantrine are primarily metabolized by CYP3A; artemether is also metabolized to a lesser extent by CYP2B6, CYP2C9 and CYP2C19. Artemether has an active metabolite, dihydroartemisinin. The objective was to investigate pharmacokinetic interactions between darunavir/ritonavir or etravirine and arthemether/lumefrantrine. METHODS: This single-centre, randomized, two-way, two-period cross-over study included 33 healthy volunteers. In panel 1, 17 healthy volunteers received two treatments (A and B) in random order, with a washout period of 4 weeks between treatments: treatment A: artemether/lumefantrine 80/480 mg alone, in a 3-day course; treatment B: etravirine 200 mg twice a day (bid) for 21 days with artemether/lumefantrine 80/480 mg from day 8 (a 3-day treatment course). In panel 2, another 16 healthy volunteers received two treatments, similar to those in panel 1 but instead of etravirine, darunavir/ritonavir 600/100 mg bid was given. RESULTS: Overall, 28 of the 33 volunteers completed the study. Co-administration of etravirine reduced the area under the plasma concentration-time curve (AUC) of artemether [by 38%; 90% confidence interval (CI) 0.48-0.80], dihydroartemisinin (by 15%; 90% CI 0.75-0.97) and lumefantrine (by 13%; 90% CI 0.77-0.98) at steady state. Co-administration of darunavir/ritonavir reduced the AUC of artemether (by 16%; 90% CI 0.69-1.02) and dihydroartemisinin (by 18%; 90% CI 0.74-0.91) but increased lumefantrine (2.75-fold; 90% CI 2.46-3.08) at steady state. Co-administration of artemether/lumefantrine had no effect on etravirine, darunavir or ritonavir AUC. No drug-related serious adverse events were reported during the study. CONCLUSIONS: Co-administration of etravirine with artemether/lumefantrine may lower the antimalarial activity of artemether and should therefore be used with caution. Darunavir/ritonavir can be co-administered with artemether/lumefantrine without dose adjustment but should be used with caution.

Impact of baseline HIV-1 RNA levels on initial highly active antiretroviral therapy outcome: a meta-analysis of 12,370 patients in 21 clinical trials*.

BACKGROUND: Individual randomized trials of first-line antiretroviral treatment do not consistently show an association between higher baseline HIV-1 RNA and lower efficacy. METHODS: A MEDLINE search identified 21 HIV clinical trials with published analyses of antiretroviral efficacy by baseline HIV-1 RNA, using a standardized efficacy endpoint of HIV-1 RNA suppression <50 copies/mL at week 48. RESULTS: Among 21 clinical trials identified, eight evaluated only nonnucleoside reverse transcriptase inhibitor (NNRTI)-based combinations, eight evaluated only protease inhibitor-based regimens and five compared different treatment classes. Ten of the trials included tenofovir (TDF)/emtricitabine (FTC) as only nucleoside reverse transcriptase inhibitor (NRTI) backbone, in addition but not restricted to abacavir (ABC)/lamivudine (3TC) (n = 7), zidovudine (ZDV)/3TC (n = 4) and stavudine (d4T)/3TC (n = 1). Across trials, the mean percentage of patients achieving HIV-1 RNA < 50 copies/mL at week 48 was 81.5% (5322 of 6814) for patients with baseline HIV-1 RNA < 100 000, vs. 72.6% (3949 of 5556) for patients with HIV-1 RNA > 100 000 copies/mL. In the meta-analysis, the absolute difference in efficacy between low and high HIV-1 RNA subgroups was 7.4% [95% confidence interval (CI) 5.9-8.9%; P < 0.001]. This difference was consistent in trials of NNRTI-based treatments (difference = 6.9%; 95% CI 4.3-9.6%), protease inhibitor-based treatments (difference = 8.4%; 95% CI 6.0-10.8%) and integrase or chemokine (C-C motif) receptor 5 (CCR5)-based treatments (difference = 6.0%; 95% CI 2.1-9.9%) and for trials using TDF/FTC (difference = 8.4%; 95% CI 6.0-10.8%); there was no evidence for heterogeneity of this difference between trials (Cochran's Q test; not significant). CONCLUSIONS: In this meta-analysis of 21 first-line clinical trials, rates of HIV-1 RNA suppression at week 48 were significantly lower for patients w ith baseline HIV-1 RNA > 100 000 copies/mL (P < 0.001). This difference in efficacy was consistent across trials of different treatment classes and NRTI backbones.

The MONET trial: week 144 analysis of the efficacy of darunavir/ritonavir (DRV/r) monotherapy versus DRV/r plus two nucleoside reverse transcriptase inhibitors, for patients with viral load < 50 HIV-1 RNA copies/mL at baseline.

BACKGROUND: In the MONotherapy in Europe with Tmc114 (MONET) trial, darunavir/ritonavir (DRV/r) monotherapy showed noninferior efficacy vs. two nucleoside reverse transcriptase inhibitors (NRTIs) plus DRV/r at the primary 48-week analysis. The trial was continued to week 144 to assess the durability of the results. METHODS: A total of 256 patients with viral load < 50 HIV-1 RNA copies/mL on current highly active antiretroviral therapy (HAART) for at least 6 months switched to DRV/r 800/100 mg once daily, either as monotherapy (n=127) or with two NRTIs (n=129). Treatment failure was defined as two consecutive HIV RNA levels above 50 copies/mL [time to loss of virological response (TLOVR)] by week 144, or discontinuation of study drugs. RESULTS: Eighty-one per cent of patients were male and 91% were Caucasian, and they had a median baseline CD4 count of 575 cells/uL. More patients in the DRV/r monotherapy arm had hepatitis C virus coinfection at baseline than in the control arm (18% vs. 12%, respectively). By week 144, the percentage of patients with HIV RNA < 50 copies/mL [intent to treat (ITT), TLOVR, switch=failure method] was 69% vs. 75% in the DRV/r monotherapy and triple therapy arms [difference= -5.9%; 95% confidence interval (CI) -16.9%, +5.1%]; by a strict ITT analysis (switches not considered failures), the percentage of patients with HIV RNA < 50 copies/mL was 84% vs. 83.5%, respectively (difference= +0.5%; 95% CI -8.7%, +9.7%). Twenty-one and 13 patients had two consecutive HIV RNA results above 50 copies/mL in the DRV/r monotherapy arm and triple therapy arm, respectively, of whom 18 of 21 (86%) and 10 of 13 (77%) had HIV RNA < 50 copies/mL at week 144. CONCLUSIONS: In this study, for patients with HIV RNA < 50 copies/mL at baseline, switching to DRV/r monotherapy showed noninferior efficacy to DRV/r plus two NRTIs in a strict ITT (switches not considered failures) analysis, but not in a TLOVR switch equals failure analysis.

Lipid profiles for etravirine versus efavirenz in treatment-naive patients in the randomized, double-blind SENSE trial.

BACKGROUND: Etravirine is approved for use in treatment-experienced patients at a dose of 200 mg twice daily. Efavirenz has been associated with greater increases in serum lipids compared with other non-nucleosides in randomized trials of first-line treatment. METHODS: In this double-blind, placebo-controlled trial, 157 treatment-naive patients with HIV RNA >5000 copies/mL were randomized 1:1 to either 400 mg of etravirine once daily (n=79) or 600 mg of efavirenz once daily (n=78) plus two nucleoside analogues (either abacavir/lamivudine, zidovudine/lamivudine or tenofovir/emtricitabine) for 48 weeks. Lipids were measured under fasting conditions at baseline and all visits to Week 48. Clinicaltrials.gov identifier: NCT00903682. RESULTS: Overall, the patients had a median baseline CD4 count of 302 cells/mm(3) (range 74-722) and a median HIV RNA of 4.8 log(10) copies/mL (range 3.5-6.6). Both the non-nucleosides and the nucleoside analogues used caused changes in serum lipids. In the efavirenz arm, patients showed significantly larger increases in high-density lipoprotein (HDL) (+0.15 mmol/L, P=0.004), low-density lipoprotein (LDL) (+0.35 mmol/L, P=0.005), total cholesterol (+0.61 mmol/L, P<0.0001) and triglycerides (+0.33 mmol/L, P=0.03) at Week 48 compared with the etravirine arm. Across the two arms, patients taking abacavir/lamivudine showed greater increases in total cholesterol (+0.47 mmol/L, P=0.005) compared with patients taking tenofovir/emtricitabine. There were fewer grade 3/4 elevations in total cholesterol, LDL and triglycerides in the etravirine arm (2 patients, 1 patient and 0 patients, respectively) versus the efavirenz arm (8 patients, 6 patients and 2 patients, respectively). CONCLUSIONS: In the SENSE trial, first-line treatment with 400 mg of etravirine once daily plus two nucleoside analogues led to fewer grade 3 or 4 lipid elevations compared with efavirenz plus two nucleoside analogues.

Transcript analysis of 1003 novel yeast genes using high-throughput northern hybridizations.

The expression of 1008 open reading frames (ORFs) from the yeast Saccharomyces cerevisiae has been examined under eight different physiological conditions, using classical northern analysis. These northern data have been compared with publicly available data from a microarray analysis of the diauxic transition in S.cerevisiae. The results demonstrate the importance of comparing biologically equivalent situations and of the standardization of data normalization procedures. We have also used our northern data to identify co-regulated gene clusters and define the putative target sites of transcriptional activators responsible for their control. Clusters containing genes of known function identify target sites of known activators. In contrast, clusters comprised solely of genes of unknown function usually define novel putative target sites. Finally, we have examined possible global controls on gene expression. It was discovered that ORFs that are highly expressed following a nutritional upshift tend to employ favoured codons, whereas those overexpressed in starvation conditions do not. These results are interpreted in terms of a model in which competition between mRNA molecules for translational capacity selects for codons translated by abundant tRNAs.

Transcript analysis of 250 novel yeast genes from chromosome XIV.

The European Functional Analysis Network (EUROFAN) is systematically analysing the function of novel Saccharomyces cerevisiae genes revealed by genome sequencing. As part of this effort our consortium has performed a detailed transcript analysis for 250 novel ORFs on chromosome XIV. All transcripts were quantified by Northern analysis under three quasi-steady-state conditions (exponential growth on rich fermentative, rich non-fermentative, and minimal fermentative media) and eight transient conditions (glucose derepression, glucose upshift, stationary phase, nitrogen starvation, osmo-stress, heat-shock, and two control conditions). Transcripts were detected for 82% of the 250 ORFs, and only one ORF did not yield a transcript of the expected length (YNL285w). Transcripts ranged from low (62%), moderate (16%) to high abundance (2%) relative to the ACT1 mRNA. The levels of 73% of the 206 chromosome XIV transcripts detected fluctuated in response to the transient states tested. However, only a small number responded strongly to the transients: eight ORFs were induced upon glucose upshift; five were repressed by glucose; six were induced in response to nitrogen starvation; three were induced in stationary phase; five were induced by osmo-stress; four were induced by heat-shock. These data provide useful clues about the general function of these ORFs and add to our understanding of gene regulation on a genome-wide basis.

Variable regions V13 and V3 of Saccharomyces cerevisiae contain structural features essential for normal biogenesis and stability of 5.8S and 25S rRNA.

The homologous ribosomal RNA species of all organisms can be folded into a common "core" secondary structure. In addition, eukaryotic rRNAs contain a large number of segments, located at fixed positions, that are highly variable in size and sequence from one organism to another. We have investigated the role of the two largest of these variable regions in Saccharomyces cerevisiae 25S rRNA, V13, and V3, by mutational analysis in a yeast strain that can be rendered completely dependent on the synthesis of mutant (pre-)rRNA. We found that approximately half of variable region V13 can be deleted without any phenotypic effect. The remaining portion, however, contains multiple structural features whose disturbance causes serious growth defects or lethality. Accumulation of 25S rRNA is strongly reduced by these mutations, at least in part because they inhibit processing of ITS2. Removal of even a relatively small portion of V3 also strongly reduces the cellular growth rate and larger deletions are lethal. Interestingly, some of the deletions in V3 cause accumulation of 27S(A) pre-rRNA and, moreover, appear to interfere with the close coupling between the processing cleavages at sites A3 and B1(S). These results demonstrate that both variable regions play an important role in 60S subunit formation.