Modeling viral evolutionary dynamics after telaprevir-based treatment.

For patients infected with hepatitis C virus (HCV), the combination of the direct-acting antiviral agent telaprevir, pegylated-interferon alfa (Peg-IFN), and ribavirin (RBV) significantly increases the chances of sustained virologic response (SVR) over treatment with Peg-IFN and RBV alone. If patients do not achieve SVR with telaprevir-based treatment, their viral population is often significantly enriched with telaprevir-resistant variants at the end of treatment. We sought to quantify the evolutionary dynamics of these post-treatment resistant variant populations. Previous estimates of these dynamics were limited by analyzing only population sequence data (20% sensitivity, qualitative resistance information) from 388 patients enrolled in Phase 3 clinical studies. Here we add clonal sequence analysis (5% sensitivity, quantitative) for a subset of these patients. We developed a computational model which integrates both the qualitative and quantitative sequence data, and which forms a framework for future analyses of drug resistance. The model was qualified by showing that deep-sequence data (1% sensitivity) from a subset of these patients are consistent with model predictions. When determining the median time for viral populations to revert to 20% resistance in these patients, the model predicts 8.3 (95% CI: 7.6, 8.4) months versus 10.7 (9.9, 12.8) months estimated using solely population sequence data for genotype 1a, and 1.0 (0.0, 1.4) months versus 0.9 (0.0, 2.7) months for genotype 1b. For each individual patient, the time to revert to 20% resistance predicted by the model was typically comparable to or faster than that estimated using solely population sequence data. Furthermore, the model predicts a median of 11.0 and 2.1 months after treatment failure for viral populations to revert to 99% wild-type in patients with HCV genotypes 1a or 1b, respectively. Our modeling approach provides a framework for projecting accurate, quantitative assessment of HCV resistance dynamics from a data set consisting of largely qualitative information.

Sustained virologic response rates with telaprevir-based therapy in treatment-naive patients evaluated by race or ethnicity.

BACKGROUND: The phase 3 studies of telaprevir (T) in combination with peginterferon α-2a and ribavirin (PR) in treatment-naive genotype 1 chronic hepatitis C virus-infected patients (ADVANCE/ILLUMINATE) were not designed a priori to assess the effect of race and ethnicity on treatment response. However, these factors are important given the lower sustained virologic response (SVR) rates observed in black and Hispanic/Latino patients treated with PR. GOALS: This retrospective pooled analysis evaluated the effect of race or ethnicity on treatment-naive patient response to telaprevir-based therapy and assessed resistant variant profiles. MATERIALS AND METHODS: This analysis comprised patients enrolled in ADVANCE (N=363) and ILLUMINATE (N=540) who received 12 weeks of telaprevir in combination with PR followed by 12 or 36 weeks of PR alone and patients in ADVANCE (N=361) who received 48 weeks of PR alone. Race and ethnicity were self-reported and not mutually exclusive. RESULTS: Higher SVR rates were observed with telaprevir-based therapy compared with PR in blacks [n=99 (62%) vs. n=28 (29%), respectively] and in Hispanics/Latinos [n=89 (72%) vs. n=38 (39%)]. The SVR was lower in telaprevir-treated blacks [n=99 (62%)] compared with nonblacks [n=791 (78%)] and in Hispanic/Latinos compared with non-Hispanics/Latinos [n=89 (72%) vs. n=801 (76%)]. Low discontinuation rates due to adverse events, including rash and anemia, were observed across subgroups. Resistance profiles were similar among the subgroups. CONCLUSIONS: Treatment-naive black and Hispanic/Latino patients with genotype 1 chronic hepatitis C virus infection may benefit from telaprevir-based therapy, an important finding given the lower SVR rates observed in these patients when they are treated with PR alone.

Modeling population heterogeneity in viral dynamics for chronic hepatitis C infection: Insights from Phase 3 telaprevir clinical studies.

Viral dynamic modelling has proven useful for designing clinical studies and predicting treatment outcomes for patients infected with the hepatitis C virus. Generally these models aim to capture and predict the on-treatment viral load dynamics from a small study of individual patients. Here, we explored extending these models (1) to clinical studies with numerous patients and (2) by incorporating additional data types, including sequence data and prior response to interferon. Data from Phase 3 clinical studies of the direct-acting antiviral telaprevir (T; total daily dose of 2250 mg) combined with pegylated-interferon alfa and ribavirin (PR) were used for the analysis. The following data in the treatment-naïve population were reserved to verify the model: (1) a T/PR regimen where T was dosed every 8 h for 8 weeks (T8(q8h)/PR) and (2) a T/PR regimen where T was dosed twice daily for 12 weeks (T12(b.i.d.)/PR). The resulting model accurately predicted (1) sustained virologic response rates for both of these dosing regimens and (2) viral breakthrough characteristics of the T8(q8h)/PR regimen. Since the observed viral variants depend on the T exposure, the second verification suggested that the model was correctly sensitive to the different T regimen even though the model was developed using data from another T regimen. Furthermore, the model predicted that b.i.d. T dosing was comparable to q8h T dosing in the PR-experienced population, a comparison that has not been made in a controlled clinical study. The methods developed in this work to estimate the variability occurring below the limit of detection for the viral load were critical for making accurate predictions.

Deep-sequencing analysis of the gene encoding the hepatitis C virus nonstructural 3-4A protease confirms a low prevalence of telaprevir-resistant variants at baseline and the end of the REALIZE study.

BACKGROUND: Population sequencing (PS) has shown that telaprevir-resistant variants are not typically detectable at baseline (prevalence, ≤5% of patients), and most variants present at the time of treatment failure are no longer detectable at the end of the study. METHODS: To gain insight into the evolution of telaprevir-resistant variants, their baseline prevalence and persistence after treatment was investigated using a more sensitive, deep-sequencing (DS) technique in a large number of treatment-experienced patients from the REALIZE study who were infected with hepatitis C virus genotype 1. RESULTS: Before treatment initiation, telaprevir-resistant variants (T54A, T54S, or R155K in 1%-2% of the viral population) were detected by DS in a fraction (2%) of patients for whom PS failed to detect resistance; these variants were not necessarily detected at the time of treatment failure. Of 49 patients in whom telaprevir-resistant variants were detected by PS at the time of treatment failure but not at the end of the study, DS revealed the presence of variants (V36A/L/M, T54S, or R155K in 1%-36% of the viral population) in 16 patients (33%) at the end of the study. CONCLUSIONS: Similar to PS findings, DS analysis revealed that the frequency of telaprevir-resistant variants before treatment was also low, and variants detected at the time of treatment failure were no longer detectable in the majority of patients during follow-up.

Genotypic and phenotypic analyses of hepatitis C virus variants observed in clinical studies of VX-222, a nonnucleoside NS5B polymerase inhibitor.

VX-222, a thiophene-2-carboxylic acid derivative, is a selective nonnucleoside inhibitor of the hepatitis C virus (HCV) NS5B RNA-dependent RNA polymerase. In phase 1 and 2 clinical studies, VX-222 demonstrated effective antiviral efficacy, with substantial reductions in plasma HCV RNA in patients chronically infected with genotype 1 HCV. To characterize the potential for selection of VX-222-resistant variants in HCV-infected patients, the HCV NS5B gene was sequenced at baseline and during and after 3 days of VX-222 dosing (monotherapy) in a phase 1 study. Variants with the substitutions L419C/I/M/P/S/V, R422K, M423I/T/V, I482L/N/T, A486S/T/V, and V494A were selected during VX-222 dosing, and their levels declined over time after the end of dosing. Phenotypic analysis of these variants was conducted using HCV replicons carrying site-directed mutations. Of the 17 variants, 14 showed reduced susceptibility to VX-222 compared with the wild type, with the L419C/S and R422K variants having higher levels of resistance (>200-fold) than the rest of the variants (6.8- to 76-fold). The M423I and A486S variants remained susceptible to VX-222. The 50% effective concentration (EC50) for the L419P variant could not be obtained due to the poor replication of this replicon. The majority of the variants (15/17) were less fit than the wild type. A subset of the variants, predominately the L419S and R422K variants, were observed when the efficacy and safety of VX-222- and telaprevir-based regimens given for 12 weeks were investigated in genotype 1 HCV-infected patients in a phase 2 study. The NS3 and NS5B variants selected during the dual combination therapy showed reduced susceptibility to both telaprevir and VX-222 and had a lower replication capacity than the wild type. The phase 1b study has the ClinicalTrials.gov identifier NCT00911963, and the phase 2a study has ClinicalTrials.gov identifier NCT01080222.

Telaprevir for previously untreated chronic hepatitis C virus infection.

BACKGROUND: In phase 2 trials, telaprevir, a hepatitis C virus (HCV) genotype 1 protease inhibitor, in combination with peginterferon-ribavirin, as compared with peginterferon-ribavirin alone, has shown improved efficacy, with potential for shortening the duration of treatment in a majority of patients. METHODS: In this international, phase 3, randomized, double-blind, placebo-controlled trial, we assigned 1088 patients with HCV genotype 1 infection who had not received previous treatment for the infection to one of three groups: a group receiving telaprevir combined with peginterferon alfa-2a and ribavirin for 12 weeks (T12PR group), followed by peginterferon-ribavirin alone for 12 weeks if HCV RNA was undetectable at weeks 4 and 12 or for 36 weeks if HCV RNA was detectable at either time point; a group receiving telaprevir with peginterferon-ribavirin for 8 weeks and placebo with peginterferon-ribavirin for 4 weeks (T8PR group), followed by 12 or 36 weeks of peginterferon-ribavirin on the basis of the same HCV RNA criteria; or a group receiving placebo with peginterferon-ribavirin for 12 weeks, followed by 36 weeks of peginterferon-ribavirin (PR group). The primary end point was the proportion of patients who had undetectable plasma HCV RNA 24 weeks after the last planned dose of study treatment (sustained virologic response). RESULTS: Significantly more patients in the T12PR or T8PR group than in the PR group had a sustained virologic response (75% and 69%, respectively, vs. 44%; P<0.001 for the comparison of the T12PR or T8PR group with the PR group). A total of 58% of the patients treated with telaprevir were eligible to receive 24 weeks of total treatment. Anemia, gastrointestinal side effects, and skin rashes occurred at a higher incidence among patients receiving telaprevir than among those receiving peginterferon-ribavirin alone. The overall rate of discontinuation of the treatment regimen owing to adverse events was 10% in the T12PR and T8PR groups and 7% in the PR group. CONCLUSIONS: Telaprevir with peginterferon-ribavirin, as compared with peginterferon-ribavirin alone, was associated with significantly improved rates of sustained virologic response in patients with HCV genotype 1 infection who had not received previous treatment, with only 24 weeks of therapy administered in the majority of patients. (Funded by Vertex Pharmaceuticals and Tibotec; ADVANCE ClinicalTrials.gov number, NCT00627926.).

Hepatitis C virus variants with decreased sensitivity to direct-acting antivirals (DAAs) were rarely observed in DAA-naive patients prior to treatment.

The prevalence of naturally occurring hepatitis C virus (HCV) variants that are less sensitive to direct-acting antiviral (DAA) inhibitors has not been fully characterized. We used population sequence analysis to assess the frequency of such variants in plasma samples from 3,447 DAA-naive patients with genotype 1 HCV. In general, HCV variants with lower-level resistance (3- to 25-fold increased 50% inhibitor concentration [IC(50)]) to telaprevir were observed as the dominant species in 0 to 3% of patients, depending on the specific variant, whereas higher-level resistant variants (>25-fold-increased IC(50)) were not observed. Specific variants resistant to NS5A inhibitors were predominant in up to 6% of patients. Most variants resistant to nucleo(s/t)ide active-site NS5B polymerase inhibitors were not observed, whereas variants resistant to non-nucleoside allosteric inhibitors were observed in up to 18% of patients. The presence of DAA-resistant variants in NS5A, NS5B, or NS3 (including telaprevir-resistant variants), in baseline samples of treatment-naive patients receiving a telaprevir-based regimen in phase 3 studies did not affect the sustained viral response (SVR). Treatment-naive patients with viral populations containing the telaprevir-resistant variants NS3 V36M, T54S, or R155K at baseline achieved a 74% SVR rate, whereas patients with no resistant variants detected prior to treatment achieved a 76% SVR rate. The effect of specific resistant variant frequency on response to various DAA treatments in different patient populations, including interferon nonresponders, should be further studied.

Evolution of treatment-emergent resistant variants in telaprevir phase 3 clinical trials.

BACKGROUND: Telaprevir (TVR), a hepatitis C virus (HCV) NS3/4A protease inhibitor, has been approved to treat genotype 1 HCV. To understand the clinical impact of TVR-resistant variants, we analyzed samples from patients in phase 3 clinical trials to determine the frequency and retention of TVR-resistant variants in patients who did not achieve sustained virologic response (SVR). METHODS: A total of 1797 patients were treated with TVR. Resistant variants (V36A/G/I/L/M, T54A/S, I132V [subtype 1a only], R155G/K/T/M, A156F/N/S/T/V, and D168N) were identified after treatment failure and at visits thereafter, by direct (population) sequencing of the NS3/4A region. Kaplan-Meier analysis was used to determine median time to loss of these variants. RESULTS: Resistant variants were observed in 77% (299/388) of patients who did not achieve SVR. Resistance occurred more commonly in subtype 1a (86%; 232/269) than subtype 1b infections (56%; 67/119). After treatment failure, 355 patients had at least 1 follow-up visit (median follow-up period: 9.6 months). Of patients with resistance at time of failure and at least 1 follow-up visit, 60% (153/254) lost resistance. Kaplan-Meier analysis, including all patients with any sequence data after treatment failure, indicated that median time to wild type was 10.6 months (95% confidence interval [CI], 9.47-12.20) in subtype 1a and 0.9 months (95% CI, 0.00-2.07) in subtype 1b infections. CONCLUSIONS: After failure to achieve SVR with TVR-based treatment, resistant variants are observed in most patients. However, presumably due to the lower fitness of those variants, they tend to be replaced with wild-type virus over time.

In vitro phenotypic characterization of hepatitis C virus NS3 protease variants observed in clinical studies of telaprevir.

Telaprevir is a linear, peptidomimetic small molecule that inhibits hepatitis C virus (HCV) replication by specifically inhibiting the NS3·4A protease. In phase 3 clinical studies, telaprevir in combination with peginterferon and ribavirin (PR) significantly improved sustained virologic response (SVR) rates in genotype 1 chronic HCV-infected patients compared with PR alone. In patients who do not achieve SVR after treatment with telaprevir-based regimens, variants with mutations in the NS3·4A protease region have been observed. Such variants can contribute to drug resistance and limit the efficacy of treatment. To gain a better understanding of the viral resistance profile, we conducted phenotypic characterization of the variants using HCV replicons carrying site-directed mutations. The most frequently observed (significantly enriched) telaprevir-resistant variants, V36A/M, T54A/S, R155K/T, and A156S, conferred lower-level resistance (3- to 25-fold), whereas A156T and V36M+R155K conferred higher-level resistance (>25-fold) to telaprevir. Rarely observed (not significantly enriched) variants included V36I/L and I132V, which did not confer resistance to telaprevir; V36C/G, R155G/I/M/S, V36A+T54A, V36L+R155K, T54S+R155K, and R155T+D168N, which conferred lower-level resistance to telaprevir; and A156F/N/V, V36A+R155K/T, V36M+R155T, V36A/M+A156T, T54A+A156S, T54S+A156S/T, and V36M+T54S+R155K, which conferred higher-level resistance to telaprevir. All telaprevir-resistant variants remained fully sensitive to alpha interferon, ribavirin, and HCV NS5B nucleoside and nonnucleoside polymerase inhibitors. In general, the replication capacity of telaprevir-resistant variants was lower than that of the wild-type replicon.

Futility rules for telaprevir combination treatment for patients with hepatitis C virus infection.

For patients treated with telaprevir, peginterferon, and ribavirin, futility rules have been developed to prevent needless drug exposure and minimize development of drug-resistant variants for patients who have little or no chance of achieving a sustained virologic response. We performed retrospective analyses of data from phase 3 trials and validated the current futility rule. All therapy should be stopped for treatment-naive and treatment-experienced patients if hepatitis C virus RNA levels are greater than 1000 IU/mL at weeks 4 or 12, or if hepatitis C virus RNA is detectable at week 24.

Characterization of telaprevir treatment outcomes and resistance in patients with prior treatment failure: results from the REALIZE trial.

UNLABELLED: In the Phase 3 REALIZE study, 662 genotype 1 hepatitis C virus (HCV)-infected patients with prior peginterferon/ribavirin treatment failure (including relapsers, partial, and null responders) were randomized to 12 weeks of telaprevir given immediately (T12/PR48) or following 4 weeks of peginterferon/ribavirin (lead-in T12/PR48), or 12 weeks of placebo (PR48), combined with a total of 48 weeks of peginterferon alfa-2a/ribavirin. Sustained virologic response (SVR) rates were 64% (T12/PR48), 66% (lead-in T12/PR48), and 17% (PR48). This analysis aimed to characterize treatment outcomes and viral variants emerging in telaprevir-treated patients not achieving SVR. HCV NS3·4A population sequencing was performed at baseline, during treatment, and follow-up. Telaprevir-resistant variants were classified into lower-level (3- to 25-fold 50% inhibitory concentration [IC(50) ] increase: V36A/M, T54A/S, R155I/K/M/T, and A156S) and higher-level (>25-fold IC(50) increase: V36M+R155K and A156T/V) resistance. Resistant variants were uncommon at baseline. Overall, 18% (52%, 19%, and 1% of prior null and partial responders and relapsers, respectively) of telaprevir-treated patients had on-treatment virologic failure, with no significant difference with or without a lead-in. Virologic failure during the telaprevir-treatment phase was predominantly associated with higher-level resistance; virologic failure during the peginterferon/ribavirin-treatment phase was associated with higher- or lower-level, or wildtype variants, depending on genotype. Relapse occurred in 9% of patients completing assigned treatment and was generally associated with lower-level resistant variants or wildtype. Resistant variants were no longer detectable by study end (median follow-up of 11 months) in 58% of non-SVR patients. CONCLUSION: In REALIZE, variants emerging in non-SVR, telaprevir-treated patients were similar irrespective of the use of a lead-in and were consistent with those previously reported. In most patients, resistant variants became undetectable over time.

Development of a sensitive RT-PCR method for amplifying and sequencing near full-length HCV genotype 1 RNA from patient samples.

BACKGROUND: Direct-acting antiviral (DAAs) agents for hepatitis C virus (HCV) span a variety of targets, including proteins encoded by the NS3/4A, NS4B, NS5A, and NS5B genes. Treatment with DAAs has been shown to select variants with sequence changes in the HCV genome encoding amino acids that may confer resistance to the treatment. In order to assess these effects in patients, a Reverse Transcription Polymerase Chain Reaction (RT-PCR) method was developed to sequence these regions of HCV from patient plasma. METHODS: A method was developed to amplify and sequence genotype 1 HCV RNA from patient plasma. Optimization of HCV RNA isolation, cDNA synthesis, and nested PCR steps were performed. The optimization of HCV RNA isolation, design of RT-PCR primers, optimization of RT-PCR amplification conditions and reagents, and the evaluation of the RT-PCR method performance is described. RESULTS: The optimized method is able to successfully, accurately, and reproducibly amplify near full-length genotype 1 HCV RNA containing a wide range of concentrations (103 to 108 IU/mL) with a success rate of 97%. The lower limit of detection was determined to be 1000 IU/mL HCV RNA. CONCLUSIONS: This assay allows viral sequencing of all regions targeted by the most common DAAs currently in development, as well as the possibility to determine linkage between variants conferring resistance to multiple DAAs used in combination therapy.

A viral dynamic model for treatment regimens with direct-acting antivirals for chronic hepatitis C infection.

We propose an integrative, mechanistic model that integrates in vitro virology data, pharmacokinetics, and viral response to a combination regimen of a direct-acting antiviral (telaprevir, an HCV NS3-4A protease inhibitor) and peginterferon alfa-2a/ribavirin (PR) in patients with genotype 1 chronic hepatitis C (CHC). This model, which was parameterized with on-treatment data from early phase clinical studies in treatment-naïve patients, prospectively predicted sustained virologic response (SVR) rates that were comparable to observed rates in subsequent clinical trials of regimens with different treatment durations in treatment-naïve and treatment-experienced populations. The model explains the clinically-observed responses, taking into account the IC50, fitness, and prevalence prior to treatment of viral resistant variants and patient diversity in treatment responses, which result in different eradication times of each variant. The proposed model provides a framework to optimize treatment strategies and to integrate multifaceted mechanistic information and give insight into novel CHC treatments that include direct-acting antiviral agents.

Compensatory substitutions in the HCV NS3/4A protease cleavage sites are not observed in patients treated unsuccessfully with telaprevir combination treatment.

BACKGROUND: Development of compensatory mutations within the HIV p7/p1 and p1/p6 protease cleavage site region has been observed in HIV-infected patients treated with protease inhibitors. Mechanisms of fitness compensation may occur in HCV populations upon treatment of HCV protease inhibitors as well. FINDINGS: In this study, we investigated whether substitutions in protease cleavage site regions of HCV occur in response to a treatment regimen containing the NS3/4A protease inhibitor telaprevir (TVR). Evaluation of viral populations from 569 patients prior to treatment showed that the four NS3/4A cleavage sites were well conserved. Few changes in the cleavage site regions were observed in the 159 patients who failed TVR combination treatment, and no residues displayed evidence of directional selection after the acquisition of TVR-resistance. CONCLUSIONS: Cleavage site mutations did not occur after treatment with the HCV protease inhibitor telaprevir.

HVR-1 heterogeneity during treatment with telaprevir with or without pegylated interferon alfa-2a.

BACKGROUND: The extensive heterogeneity of the hypervariable region-1 (HVR-1) of hepatitis C virus (HCV) evidences the high genetic flexibility of HCV and was shown to be associated with virologic response to interferon-α-based therapies. However, the evolution of HVR-1 heterogeneity during treatment with directly acting antivirals has not been studied. METHODS: Clonal sequence analysis of HVR-1 quasispecies in the serum of patients who were treated with telaprevir (3 × 750 mg/day) alone, telaprevir plus pegylated interferon-α-2a (pegIFN-α-2a), or pegIFN-α-2a plus placebo for 14 days was performed. HVR-1 heterogeneity, expressed as Shannon complexity and Hamming distance, was analyzed with virologic response and with the emergence of variants associated with resistance to telaprevir. RESULTS: HVR-1 heterogeneity at baseline was not associated with response to telaprevir-based therapy (Shannon complexity 0.34 vs. 0.55, p = 0.38; Hamming distance 0.15 vs. 0.23, p = 0.51; for patients with or without viral breakthrough, respectively). No significant changes in HVR-1 complexity were observed from baseline to day 4 of therapy in patients in whom a continued decline in HCV RNA was observed (Shannon complexity = 0.55 vs. 0.51, p = 0.67; Hamming distance = 0.23 vs. 0.25, p = 0.81, respectively). This was similar in patients with viral breakthrough associated with telaprevir-resistant variants (Shannon complexity = 0.34 vs. 0.42, p = 0.68; Hamming distance = 0.15 vs. 0.2, p = 0.50, at baseline and day 4, respectively). CONCLUSIONS: Baseline and on-treatment HVR-1 heterogeneity are not associated with early viral response to telaprevir-based therapy.

Viral resistance to specifically targeted antiviral therapies for hepatitis C (STAT-Cs).

Promising results have been observed with an investigational drug class for hepatitis C (HCV), the specifically targeted antiviral therapies for hepatitis C (STAT-Cs), when combined with peginterferon plus ribavirin (Peg-IFN/RBV). This class has the potential to increase sustained virological response (SVR) rates and reduce therapy duration in genotype 1 chronic HCV patients compared with Peg-IFN/RBV alone. However, because of the remarkable sequence variation in HCV (resulting from the high viral replication rate and intrinsically error-prone nature of HCV polymerase), variants with reduced susceptibility to STAT-Cs can occur naturally before treatment, usually at low levels, and can be selected in patients not responding to potent STAT-C treatment. This review first describes how resistance to a STAT-C can develop and then provides an overview of mutations that confer varying levels of resistance to STAT-Cs, which have been identified and characterized using both genotypic and phenotypic tools. We will discuss why an understanding of the selection of variants with reduced susceptibility to a treatment regimen may be important in optimizing the use of this new class of HCV therapy. Strategies for optimizing treatment regimens to increase response rates, and thereby minimize resistance, will be discussed. Finally, although resistance can be a consequence of not achieving an SVR on an initial regimen, there may be alternative treatment options for patients to achieve an SVR in the future. Future potential therapeutic strategies to address patients who do develop resistance to STAT-Cs are discussed, including combination therapy with multiple STAT-Cs with non-overlapping resistance profiles.

Pimodivir treatment in adult volunteers experimentally inoculated with live influenza virus: a Phase IIa, randomized, double-blind, placebo-controlled study.

BACKGROUND: Pimodivir (formerly JNJ-63623872) is a novel, non-nucleoside polymerase complex inhibitor with in vitro activity against influenza A virus, including pandemic 2009 H1N1, H7N9, H5N1 strains as well as neuraminidase- and amantadine-resistant strains. METHODS: Randomized, double-blind, placebo-controlled, Phase IIa study. Healthy volunteers (n=104) were inoculated with an influenza A/Wisconsin/67/2005 (H3N2) challenge virus. 72 received pimodivir and 32 placebo. Pimodivir was dosed for 5 days once daily from 24 h after viral inoculation at four dose levels: 100 mg, 400 mg, loading dose 900/600 mg and loading dose 1,200/600 mg. RESULTS: Pimodivir significantly reduced viral shedding (area under the concentration versus time curve [AUC] measured by 50% tissue culture infective dose [TCID50] or qRT-PCR) versus placebo as measured by cell culture assay in the pooled analysis (Jonckheere-Terpstra dose-response trend test [P=0.036]). Reductions were observed in viral shedding (AUC, duration and peak measured by grade), influenza-like symptoms (AUC, duration and peak measured by grade) and clinical symptoms (duration and peak measured by grade) for all pimodivir groups versus placebo, significantly so for the 1,200/600 mg group. In the 1,200/600 mg group viral shedding (AUC) by qRT-PCR was 0.45 versus 18.4 log10 copies/ml*day for pooled placebo (P=0.014). Pimodivir was generally safe and well-tolerated with no serious adverse events or adverse events leading to discontinuation. CONCLUSIONS: Pimodivir has potential to not only reduce viral load but to have a clinical impact on patients as a novel treatment for influenza A virus infection. Further trials are therefore warranted to assess pimodivir.

Marked intraindividual variability in antiretroviral concentrations may limit the utility of therapeutic drug monitoring.

BACKGROUND: Effective therapeutic drug monitoring for antiretrovirals requires a better understanding of intraindividual variability in pharmacokinetics. METHODS: We determined concentrations of human immunodeficiency virus (HIV) protease and nonnucleoside reverse-transcriptase inhibitors for 10 patients with undetectable plasma HIV RNA levels who had been receiving stable regimens for > or = 11 months. Plasma samples were collected at the same time of day 3 times per week for up to 4 months. Patients were instructed to take their antiretrovirals at the same time every day. Plasma protease and nonnucleoside reverse-transcriptase inhibitor concentrations were determined using high-performance liquid chromatographic methods. Pharmacokinetic variability was expressed as intraindividual percentage coefficient of variation (ICV), which was calculated as the patient's standard deviation divided by the mean drug concentration for that patient. RESULTS: ICV was determined for 6 drugs for 10 patients, for a total of 17 different patient-drug combinations, using 600 total samples. ICV was unexpectedly high for most patients who were receiving protease inhibitors (ICVs for individual patients taking lopinavir/ritonavir were 24%, 33%, 51%, and 92%; for patients taking nelfinavir/M8 metabolite, they were 30%/44% and 39%/54%; for patients taking ritonavir, they were 34% and 43%; for patients taking saquinavir, they were 52% and 55%). ICVs for patients receiving nonnucleoside reverse-transcriptase inhibitors were lower (for patients receiving efavirenz, they were 7%, 13%, 29%, and 51%; for a patient receiving nevirapine, it was 25%). The median ICV for all patients receiving protease inhibitors (n = 12) was 43.5%, and for all patients receiving nonnucleoside reverse-transcriptase inhibitors (n = 5), the median ICV was 25%. CONCLUSIONS: Intraindividual variability in concentrations of antiretrovirals was surprisingly high in virologically suppressed patients. Possible contributors include food effects, concomitant use of prescription and herbal medications, assay variability, or medication timing, which was assessed by self-report. High intraindividual pharmacokinetic variability may limit the utility of single measurements in therapeutic drug monitoring for some antiretroviral agents.

Intermittent HIV-1 viremia (Blips) and drug resistance in patients receiving HAART.

CONTEXT: Many patients infected with human immunodeficiency virus type 1 (HIV-1) and receiving highly active antiretroviral therapy experience intermittent episodes of detectable viremia ("blips"), which may raise concerns about drug resistance, lead to costly repeat measurements of viral RNA, and sometimes trigger alterations in therapy. OBJECTIVE: To test the hypothesis that blips represent random biological and statistical variation around mean steady-state HIV-1 RNA levels slightly below 50 copies/mL rather than biologically significant elevations in viremia. DESIGN, SETTING, AND PATIENTS: Between June 19, 2003, and February 9, 2004, patients receiving therapy underwent intensive sampling (every 2-3 days) over 3 to 4 months to define the frequency, magnitude, and duration of blips and their association with drug levels and other clinical variables. Blips were defined as HIV-1 RNA measurements greater than or equal to 50 copies/mL preceded and followed by measurements less than 50 copies/mL without a change in treatment. To determine whether blips result from or lead to drug resistance, an ultrasensitive genotyping assay was used to detect drug resistance mutations before, during, and after blips. Patients were 10 HIV-1-infected asymptomatic adults recruited by clinicians and followed up in the Moore Clinic at the Johns Hopkins Hospital. Patients had suppression of viremia to below 50 copies/mL while receiving a stable antiretroviral regimen for 6 months or longer. MAIN OUTCOME MEASURES: At each time point, plasma HIV-1 RNA levels were measured in 2 independent laboratories and drug resistance mutations were analyzed by clonal sequencing. RESULTS: With the intensive sampling, blips were detected in 9 of 10 patients. Statistical analysis was consistent with random assay variation around a mean viral load below 50 copies/mL. Blips were not concordant on independent testing and had a short duration (median, <3 days) and low magnitude (median, 79 copies/mL). Blip frequency was not associated with demographic, clinical, or treatment variables. Blips did not occur in relation to illness, vaccination, or directly measured antiretroviral drug concentrations. Blips were marginally associated (P = .08) with reported episodes of nonadherence. Most importantly, in approximately 1000 independent clones sequenced for both protease and reverse transcriptase, no new resistance mutations were seen before, during, or shortly after blips. CONCLUSION: Most blips in this population appear to represent random biological and statistical variation around mean HIV-1 levels below 50 copies/mL rather than clinically significant elevations in viremia.