Drug development strategies for salvage therapy: conflicts and solutions.
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Anti-HIV Agents↗
Biomedical subjects
Jonathan Schapiro
Publications and source records attributed to Jonathan Schapiro.
Clinical management of treatment-experienced, HIV-infected patients with the fusion inhibitor enfuvirtide: consensus recommendations.
The introduction of enfuvirtide (FUZEON) represents an important advance in the treatment of therapy-experienced patients with HIV-1 infection. However, parenteral self-administration, and the advanced disease and antiretroviral experience of patients currently most needing enfuvirtide introduce unique usage considerations. Enfuvirtide has been shown to provide clinically relevant improvements in CD4 cell counts and reductions in HIV viraemia across all subgroups of treatment-experienced patients studied, including those taking few or no other active drugs. However, optimal outcome results from initiation when the CD4 cell count is above 100 x 10(6) cells/l and viraemia below 1 x 10(5) copies/ml, as part of a newly constructed third or fourth antiretroviral regimen in combination with one or two other antiretrovirals to which the virus remains sensitive. Resistance testing should be used where available to guide background drug selection. Where insufficient options for an effective background exist, enfuvirtide should still be considered and treatment undertaken with the aim of achieving an immunological or clinical response, despite the unlikelihood of a sustained virological outcome. Similarly, where there is no viable alternative treatment, enfuvirtide should be continued following virological failure wherever ongoing immunological or clinical benefit is discerned. Injection site reactions (ISRs) are common on enfuvirtide and will affect almost all patients. ISRs are manageable and seldom activity- or treatment-limiting. Bacterial pneumonia and systemic hypersensitivity reactions have also been reported uncommonly. A structured series of patient visits with a healthcare professional provides an atmosphere of ongoing training and support that may prevent 'injection fatigue', maintain adherence and minimise the incidence of ISRs. An initial investment in establishing such procedures can be expected to yield significant returns in patient confidence and benefit on enfuvirtide.
Clinical Trials, Phase III as Topic↗
Evolution of genotypic and phenotypic resistance to Enfuvirtide in HIV-infected patients experiencing prolonged virologic failure.
Four heavily antiretroviral-experienced HIV-infected patients had significant plasma HIV-RNA reductions (>1 log) after beginning an Enfuvirtide (ENF)-based rescue regimen. However, all had viral rebound shortly thereafter, sustaining high levels of plasma viremia over 80 weeks. These patients developed rapidly genotypic and phenotypic resistance to ENF. Mutations within the HR1 env region were selected (N43D in three and G36V/D in one), resulting in high-level phenotypic resistance to ENF. Interestingly, two patients had a sustained CD4+ T-cell increase and two maintained stable CD4+ T-cell counts despite virologic failure under ENF. The possible mechanisms involved in this response were examined. Changes in virus tropism from R5 to R5/X4 were observed in two patients, in parallel with increases in ENF phenotypic resistance. Low levels of T-cell activation, T-cell turnover, and cytotoxic T lymphocyte (CTL) activity were found in all four patients. An overall increase in the proportion of viruses released from cells of the macrophage lineage was observed. In summary, single mutations at the HR1 env region result in significant loss of susceptibility to ENF. Despite virologic failure, these patients may maintain elevated CD4+ counts through a reduction in their overall immune activation.
Amino Acid Sequence↗
Clinically validated genotype analysis: guiding principles and statistical concerns.
Whereas previously the output of HIV resistance tests has been based on therapeutically arbitrary criteria, there is now an ongoing move towards correlating test interpretation with virological outcomes on treatment. This approach is undeniably superior, in principle, for tests intended to guide drug choices. However the predictive accuracy of a given stratagem that links genotype or phenotype to drug response is strongly influenced by the study design, data capture and analytical methodology used to derive it. For genotyping, the most widely used resistance tool in clinical practice, these considerations are further complicated by the range of mutational patterns present in the treated population. There is no definitively superior methodology for generating a genotype-response association for use in interpreting a resistance test, and the various approaches used to date all have their strengths and weaknesses. This review discusses the processes involved in constructing such tools, with particular emphasis on establishing validated mutation score rules, and examines the key issues and confounding factors that influence predictive accuracy outside the originating dataset. Since the size of the sample is a key influence on the statistical power to determine an effect, it is hoped that a greater understanding of the influence of study design and methodology will assist the development of standardized outcome measures and reporting formats that allow data pooling at the international level.
Anti-HIV Agents↗
A V106M mutation in HIV-1 clade C viruses exposed to efavirenz confers cross-resistance to non-nucleoside reverse transcriptase inhibitors.
OBJECTIVE: We have shown that HIV-1 clade C variants contain a valine codon 106 polymorphism (GTG) that facilitates a V106M transition (GTG<--ATG) after selection with efavirenz (EFV). This study evaluates the prevalence of V106 (GTG) and 106M (ATG) codons in clinical isolates as well as the effects of V106M on resistance to non-nucleoside reverse transcriptase inhibitors (NNRTI). METHODS: Genotypic analysis ascertained sequence diversity at codon 106, including both valine polymorphisms (GTA and GTG) and the V106A (GCA) and V106M (ATG) resistance-conferring mutations in B (n = 440) and non-B (n = 84) clinical isolates. Cell-based phenotypic assays were performed to determine the effects of V106M and V106A on levels of resistance to EFV, nevirapine and delavirdine. RESULTS: Most subtype B isolates harbored GTA (valine) at codon 106 (97% of cases) while the GTG (valine) polymorphism was generally present in clade C viruses (94% of cases). Under conditions of EFV but not nevirapine or delavirdine pressure (n = 8) in tissue culture, clade C isolates developed the V106M mutation (GTG<--ATG), conferring high-level (100-1000-fold) cross-resistance to all NNRTI. Generation of V106M recombinant viruses by site-directed mutagenesis confirmed the ability of V106M to confer NNRTI cross-resistance. This mutation also developed in three of six EFV-treated patients harboring clade C infections. In current genotypic interpretative reports (including 15 algorithmic databases), V106A is listed as an nevirapine-specific mutation while V106M is not recognized. CONCLUSIONS: V106M may be a signature mutation in clade C patients treated with EFV and may have the potential to confer high-level multi-NNRTI resistance.
Alkynes↗
Clinical utility of HIV-1 genotyping and expert advice: the Havana trial.
OBJECTIVE: To determine whether HIV-1 genotyping and expert advice add additional short-term virologic benefit in guiding antiretroviral changes in HIV+ drug-experienced patients. DESIGN: A two factorial (genotyping and expert advice), randomized, open label, multi-center trial. The patients were stratified according to the number of treatment failures. PATIENTS AND METHODS: HIV-1 infected patients on stable antiretroviral therapy who presented virological failure were included into the study. Genotypic testing was performed by using TrueGene HIV Genotyping kit and the results were interpreted by a software package (RetroGram, version 1.0). An expert advisory committee suggested the new therapeutic approach based on clinical information alone or on clinical information plus HIV-1 genotyping results. Plasma HIV-1 RNA load, CD4+ cell count and adverse events were recorded at baseline and every 12 weeks. RESULTS: A total of 326 patients were included. The baseline CD4+ cell count and plasma HIV-1 RNA were 387 (+/- 224) x 10(6) cells/l and 4 (+/- 1) log(10) respectively. The proportion of patients with plasma HIV-1 RNA < 400 copies/ml at 24 weeks differed between genotyping and no genotyping arms (48.5 and 36.2%, P < 0.05). Factors associated with a higher probability of plasma HIV-1 RNA < 400 copies/ml were HIV-1 genotyping [odds ratio (OR), 1.7; 95% confidence interval (CI), 1.1-2.8; P = 0.016] and the expert advice in patients failing to a second-line antiretroviral therapy (OR, 3.2; 95% CI, 1.2-8.3; P = 0.016). CONCLUSIONS: HIV-1 genotyping interpreted by a software package improves the virological outcome when it is added to the clinical information as a basis for decisions on changing antiretroviral therapy. The expert advice also showed virologic benefit in the second failure group.
Adult↗
Update of the Drug Resistance Mutations in HIV-1: 2005.
Since 2000, the International AIDS Society-USA (IAS-USA) Drug Resistance Mutations Group has worked as an independent entity and forged a collaborative process to identify key HIV-1 drug resistance mutations. The goal of the group is to quickly deliver accurate and unbiased information to clinical practitioners on HIV-1 resistance. This April 2005 version of the IAS-USA Drug Resistance Mutations Figures replaces the version published in this journal in October 2004. The IAS-USA Drug Resistance Mutations Figures are designed for use in identifying mutations associated with viral resistance to antiretroviral drugs and in making therapeutic decisions. Care should be taken when using this list of mutations for surveillance or epidemilogic studies of transmission of drug-resistant virus. A number of amino acid substitutions, particularly minor mutations, represent polymorphisms that, in isolation, may not reflect prior drug selective pressure or reduced drug susceptibility.
Anti-HIV Agents↗