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Background Emergence of resistance against integrase inhibitor raltegravir in human immunodeficiency virus type 1 (HIV-1) patients is generally associated with selection of one of three signature mutations: Y143C/R, Q148K/H/R or N155H, representing three distinct resistance pathways. The mechanisms that drive selection of a specific pathway are still poorly understood. We investigated the impact of the HIV-1 genetic background and population dynamics on the emergence of raltegravir resistance. Using deep sequencing we analyzed the integrase coding sequence (CDS) in longitudinal samples from five patients who initiated raltegravir plus optimized background therapy at viral loads > 5000 copies/ml. To investigate the role of the HIV-1 genetic background we created recombinant viruses containing the viral integrase coding region from pre-raltegravir samples from two patients in whom raltegravir resistance developed through different pathways. The in vitro selections performed with these recombinant viruses were designed to mimic natural population bottlenecks. Results Deep sequencing analysis of the viral integrase CDS revealed that the virological response to raltegravir containing therapy inversely correlated with the relative amount of unique sequence variants that emerged suggesting diversifying selection during drug pressure. In 4/5 patients multiple signature mutations representing different resistance pathways were observed. Interestingly, the resistant population can consist of a single resistant variant that completely dominates the population but also of multiple variants from different resistance pathways that coexist in the viral population. We also found evidence for increased diversification after stronger bottlenecks. In vitro selections with low viral titers, mimicking population bottlenecks, revealed that both recombinant viruses and HXB2 reference virus were able to select mutations from different resistance pathways, although typically only one resistance pathway emerged in each individual culture. Conclusions The generation of a specific raltegravir resistant variant is not predisposed in the genetic background of the viral integrase CDS. Typically, in the early phases of therapy failure the sequence space is explored and multiple resistance pathways emerge and then compete for dominance which frequently results in a switch of the dominant population over time towards the fittest variant or even multiple variants of similar fitness that can coexist in the viral population.

A robust measure of the size of the latent HIV reservoir is essential to quantifying the effect of interventions designed to deplete the pool of reactivatable, replication competent proviruses. In addition to the ability to measure a biologically relevant parameter, any assay designed to be used in a clinical trial needs to be reproducible and scalable. The need to quantify the number of resting CD4+ T cells capable of releasing infectious virus has led to the development of the quantitative viral outgrowth assay (VOA). The assay as originally described has a number of features that limit its scalability for use in clinical trials; however recent developments reducing the time and manpower requirements of the assay, while importantly improving reproducibility mean that it is becoming much more practical for it to enter into more widespread use. This review describes the background to VOA development and the practical issues that they present in utilising them in clinical trials. It describes the innovations that have made their usage more practical and the limitations that still exist.

Cure of Human Immunodeficiency Virus (HIV) infection remains elusive due to the persistence of HIV in a latent reservoir. Strategies to eradicate latent infection can only be evaluated with robust, sensitive and specific assays to quantitate reactivatable latent virus. We have taken the standard peripheral blood mononuclear cell (PBMC) based viral outgrowth methodology and from it created a logistically simpler and more highly reproducible assay to quantify replication-competent latent HIV in resting CD4+ T cells, both increasing accuracy and decreasing cost and labour. Purification of resting CD4+ T cells from whole PBMC is expedited and achieved in 3 hours, less than half the time of conventional protocols. Our indicator cell line, SupT1-CCR5 cells (a clonal cell line expressing CD4, CXCR4 and CCR5) provides a readily available standardised readout. Reproducibility compares favourably to other published assays but with reduced cost, labour and assay heterogeneity without compromising sensitivity.

Background Optimal regimen choice of antiretroviral therapy is essential to achieve long-term clinical success. Integrase inhibitors have swiftly been adopted as part of current antiretroviral regimens. The purpose of this study was to review the evidence for integrase inhibitor use in clinical settings. Methods MEDLINE and Web-of-Science were screened from April 2006 until November 2012, as were hand-searched scientific meeting proceedings. Multiple reviewers independently screened 1323 citations in duplicate to identify randomized controlled trials, nonrandomized controlled trials and cohort studies on integrase inhibitor use in clinical practice. Independent, duplicate data extraction and quality assessment were conducted. Results 48 unique studies were included on the use of integrase inhibitors in antiretroviral therapy-naive patients and treatment-experienced patients with either virological failure or switching to integrase inhibitors while virologically suppressed. On the selected studies with comparable outcome measures and indication (n = 16), a meta-analysis was performed based on modified intention-to-treat (mITT), on-treatment (OT) and as-treated (AT) virological outcome data. In therapy-naive patients, favorable odds ratios (OR) for integrase inhibitor-based regimens were observed, (mITT OR 0.71, 95% CI 0.59–0.86). However, integrase inhibitors combined with protease inhibitors only did not result in a significant better virological outcome. Evidence further supported integrase inhibitor use following virological failure (mITT OR 0.27; 95% CI 0.11–0.66), but switching to integrase inhibitors from a high genetic barrier drug during successful treatment was not supported (mITT OR 1.43; 95% CI 0.89–2.31). Integrase inhibitor-based regimens result in similar immunological responses compared to other regimens. A low genetic barrier to drug-resistance development was observed for raltegravir and elvitegravir, but not for dolutegravir. Conclusion In first-line therapy, integrase inhibitors are superior to other regimens. Integrase inhibitor use after virological failure is supported as well by the meta-analysis. Careful use is however warranted when replacing a high genetic barrier drug in treatment-experienced patients switching successful treatment.

Human Immunodeficiency Virus (HIV) maturation plays an essential role in the viral life cycle by enabling the generation of mature infectious virus particles through proteolytic processing of the viral Gag and GagPol precursor proteins. An impaired polyprotein processing results in the production of non-infectious virus particles. Consequently, particle maturation is an excellent drug target as exemplified by inhibitors specifically targeting the viral protease (protease inhibitors; PIs) and the experimental class of maturation inhibitors that target the precursor Gag and GagPol polyproteins. Considering the different target sites of the two drug classes, direct cross-resistance may seem unlikely. However, coevolution of protease and its substrate Gag during PI exposure has been observed both in vivo and in vitro. This review addresses in detail all mutations in Gag that are selected under PI pressure. We evaluate how polymorphisms and mutations in Gag affect PI therapy, an aspect of PI resistance that is currently not included in standard genotypic PI resistance testing. In addition, we consider the consequences of Gag mutations for the development and positioning of future maturation inhibitors.

Background Mutations in the substrate of HIV-1 protease, especially changes in the NC/p1 cleavage site, can directly contribute to protease inhibitor (PI) resistance and also compensate for defects in viral replicative capacity (RC) due to a drug resistant protease. These NC/p1 changes are known to enhance processing of the Gag protein. To investigate the capacity of HIV-1 to modulate Gag cleavage and its consequences for PI resistance and RC, we performed a detailed enzymatic and virological analysis using a set of PI resistant NC/p1 variants (HXB2431V, HXB2436E+437T, HXB2437T and HXB2437V). Results Here, we demonstrate that single NC/p1 mutants, which displayed only a slight increase in PI resistance did not show an obvious change in RC. In contrast, the double NC/p1 mutant, which displayed a clear increase in processing efficiency and PI resistance, demonstrated a clear reduction in RC. Cleavage analysis showed that a tridecameric NC/p1 peptide representing the double NC/p1 mutant was cleaved in two specific ways instead of one. The observed decrease in RC for the double NC/p1 mutant (HXB2436E+437T) could (partially) be restored by either reversion of the 436E change or by acquisition of additional changes in the NC/p1 cleavage site at codon 435 or 438 as was revealed during in vitro evolution experiments. These changes not only restored RC but also reduced PI resistance levels. Furthermore these changes normalized Gag processing efficiency and obstructed the novel secondary cleavage site observed for the double NC/p1 mutant. Conclusions The results of this study clearly demonstrate that HIV-1 can modulate Gag processing and thereby PI resistance. Distinct increases in Gag cleavage and PI resistance result in a reduced RC that can only be restored by amino acid changes in NC/p1 which reduce Gag processing to an optimal rate.

Background Maturation inhibitors are an experimental class of antiretrovirals that inhibit Human Immunodeficiency Virus (HIV) particle maturation, the structural rearrangement required to form infectious virus particles. This rearrangement is triggered by the ordered cleavage of the precursor Gag polyproteins into their functional counterparts by the viral enzyme protease. In contrast to protease inhibitors, maturation inhibitors impede particle maturation by targeting the substrate of protease (Gag) instead of the protease enzyme itself. Direct cross-resistance between protease and maturation inhibitors may seem unlikely, but the co-evolution of protease and its substrate, Gag, during protease inhibitor therapy, could potentially affect future maturation inhibitor therapy. Previous studies showed that there might also be an effect of protease inhibitor resistance mutations on the development of maturation inhibitor resistance, but the exact mechanism remains unclear. We used wild-type and protease inhibitor resistant viruses to determine the impact of protease inhibitor resistance mutations on the development of maturation inhibitor resistance. Results Our resistance selection studies demonstrated that the resistance profiles for the maturation inhibitor bevirimat are more diverse for viruses with a mutated protease compared to viruses with a wild-type protease. Viral replication did not appear to be a major factor during emergence of bevirimat resistance. In all in vitro selections, one of four mutations was selected: Gag V362I, A364V, S368N or V370A. The impact of these mutations on maturation inhibitor resistance and viral replication was analyzed in different protease backgrounds. The data suggest that the protease background affects development of HIV-1 resistance to bevirimat and the replication profiles of bevirimat-selected HIV-1. The protease-dependent bevirimat resistance and replication levels can be explained by differences in CA/p2 cleavage processing by the different proteases. Conclusions These findings highlight the complicated interactions between the viral protease and its substrate. By providing a better understanding of these interactions, we aim to help guide the development of second generation maturation inhibitors.

Objectives: The genetic barrier to development of raltegravir resistance is considered to be low, requiring at least one primary integrase mutation: Y143C, Q148H/K/R or N155H to confer raltegravir therapy failure. However, during continued raltegravir treatment failure, additional mutations may be selected. In a patient failing raltegravir therapy, we investigated the impact of multiple integrase mutations on resistance and viral replication. Furthermore, in vivo fitness was investigated during failure of raltegravir-containing highly active antiretroviral therapy and after raltegravir was discontinued from the regimen. Methods: Patient-derived viral integrase genes were cloned into a reference strain. These recombinant viruses were used to determine the contribution of individual integrase mutations to raltegravir resistance and replication capacity in vitro. To determine in vivo fitness, the relative proportion of specific integrase mutations was monitored over time by in-depth clonal analysis of the viral integrase at baseline, during and after raltegravir treatment. Results: Raltegravir therapy failure was associated with the initial selection of primary resistance mutation N155H. This mutation conferred a 3.8-fold reduction in raltegravir susceptibility and a severe reduction in viral replication. Acquisition of integrase mutation Q95K increased resistance (6.2-fold) and partly restored viral replication. Selection of a third mutation, V151I, further increased raltegravir resistance (20-fold), but decreased viral replication. After prolonged raltegravir interruption, raltegravir resistance mutations were lost, demonstrating the reduced replication capacity of the resistant virus. Conclusions: We describe selection of Q95K as a secondary resistance mutation during raltegravir therapy failure. In the background of N155H, Q95K enhances raltegravir and elvitegravir resistance and improves the impaired replication of the virus.

Objective: Bevirimat is the first drug of a new class of antivirals that hamper the maturation of HIV. The objective of this study was to evaluate the sequence variability of the gag region targeted by bevirimat in HIV subtype-B isolates. Methods: Of 484 HIV subtype-B isolates, the gag region comprising amino acids 357-382 was sequenced. Of the patients included, 270 were treatment naive and 214 were treatment experienced. In the latter group, 48 HIV isolates harboured mutations associated with reverse transcriptase inhibitor resistance only, and 166 HIV isolates carried mutations associated with protease inhibitor resistance. Results: In the treatment-naive patient population, approximately 30% harboured an HIV isolate with at least one mutation associated with a reduced susceptibility to bevirimat (H358Y, L363M, Q369H, V370A/M/del and T371del). In HIV isolates with protease inhibitor resistance, the prevalence of bevirimat resistance mutations increased to 45%. Accumulation of mutations at four positions in the bevirimat target region, S368C, Q369H, V370A and S373P, was significantly observed. Mutations associated with bevirimat resistance were detected more frequently in HIV isolates with three or more protease inhibitor resistance mutations than in those with less than three protease inhibitor mutations. Conclusion: Reduced bevirimat activity can be expected in one-third of treatment-naive HIV subtype-B isolates and significantly more in protease inhibitor-resistant HIV. These data indicate that screening for bevirimat resistance mutations before administration of the drug is essential.