Bart Winters

CXCR4-using HIV type 1 variants are more commonly found in peripheral blood mononuclear cell DNA than in plasma RNA.

Objective:To compare the distribution of R5-like and X4-like HIV-1envelope sequences in plasma and peripheral blood mononuclear cell (PBMC). Methods:Clonal sequencing of the HIV-1 glycoprotein 120 region was performed on PBMC DNA and plasma RNA of 11 HIV-1 subtype B-infected patients with high probability of carrying X4 virus. Coreceptor use was predicted using the position-specific scoring matrix (PSSM). Results:A total of 330 and 427 clonal envelope sequences were obtained from PBMC and plasma, respectively. PSSM interpretation revealed the presence of a mixture of predicted X4 and R5 sequences in 10 patients and pure R5 sequences in 1. The X4 sequences were significantly more represented in PBMC (with an average of 52.2% of the clonal proviral sequences scored X4) compared with plasma (19.7% X4 sequences) (P < 0.0001). At the single patient level, the higher representation of X4 sequences in PBMC reached statistical significance (P < 0.002) in 6 individuals. Conclusions:Mixtures of X4 and R5 sequences with highly divergent PSSM scores are present in both plasma and PBMC, but a shift toward a more abundant representation of X4-like PSSM scores in PBMC-derived DNA was apparent. Additional studies are needed to evaluate the clinical importance of these findings with regard to tropism prediction and the use of CCR5 anatagonists.

Ultra-deep sequencing of HIV-1 reverse transcriptase before start of an NNRTI-based regimen in treatment-naive patients

There are conflicting data on the impact of low frequency HIV-1 drug-resistant mutants on the response of first-line highly active antiretroviral therapy (HAART), more specifically containing a NNRTI. As population sequencing does not detect resistant viruses representing less than 15-25% of the viral population, more sensitive techniques have been developed but still need clinical validation. We evaluated ultra-deep sequencing (UDPS), recently more available and affordable, as a tool for the detection of HIV-1 minority species carrying drug resistant mutation (DRM) in a clinical setting. A retrospective analysis of the reverse transcriptase (RT) gene of plasma HIV-1 from 70 patients starting a NNRTI based regimen was performed. Minority populations were defined as representing > 1% and < 20% of the total viral population. Using UDPS, we could not confirm an association between the presence of low minority variants harbouring RT mutations at the start of therapy and primary or secondary therapeutic failure.

Determination of clinically relevant cutoffs for HIV-1 phenotypic resistance estimates through a combined analysis of clinical trial and cohort data.

Background:Clinically relevant cutoffs are needed for the interpretation of HIV-1 phenotypic resistance estimates as predicted by “virtual” phenotype HIV resistance analysis. Methods:Using a clinical data set containing 2596 treatment change episodes in 2217 patients in 8 clinical trials and 2 population-based cohorts, drug-specific linear regression models were developed to describe the relation between baseline characteristics (resistance, viral load, and treatment history), new treatment regimen selected, and 8-week virologic outcome. Results:These models were used to derive clinical cutoffs (CCOs) for 6 nucleoside/nucleotide reverse transcriptase inhibitors (zidovudine, lamivudine, stavudine, didanosine, abacavir, and tenofovir), 3 unboosted protease inhibitors (PIs; indinavir, amprenavir, and nelfinavir), and 4 ritonavir-boosted PIs (indinavir/ritonavir, amprenavir/ritonavir, saquinavir/ritonavir, lopinavir/ritonavir). The CCOs were defined as the phenotypic resistance levels (fold change [FC]) associated with a 20% and 80% loss of predicted wild-type drug effect and depended on the drug-specific dynamic range of the assay. Conclusions:The proposed CCOs were better correlated with virologic response than were biological cutoffs and provide a relevant tool for estimating the resistance to antiretroviral drug combinations used in clinical practice. They can be applied to diverse patient populations and are based on a consistent methodologic approach to interpreting phenotypic drug resistance.

Clinical cut-offs for HIV-1 phenotypic resistance estimates: Update based on recent pivotal clinical trial data and a revised approach to viral mixtures

The clinical utility of HIV-1 resistance testing is dependent upon accurate interpretation and application of results. The development of clinical cut-offs (CCOs) for most HIV antiretroviral drugs assessed by the vircoTYPE HIV-1 resistance test has been described previously. Updated CCOs based on new methodology and new data from clinical cohorts and pivotal clinical studies are presented in this communication. Data for analysis included the original records for CCO derivation from eight clinical trials and two cohort studies plus new records from the clinical cohorts and from the TITAN, POWER, and DUET clinical studies. Drug-specific linear regression models were developed to describe the relationship between baseline characteristics (phenotypic resistance as estimated by virtualPhenotype-LM using methods revised recently for handling mixed viral sequences; viral load; and treatment history), new treatment regimen, and 8-week virologic outcome. The clinical cut-offs were defined as the estimated phenotypic resistance levels (fold change, FC) associated with a 20% and 80% loss of drug activity. The development dataset included 6550 records with an additional 2299 reserved for validation. The updated, v.4.2 CCOs were generally close to the v4.1 values, with a trend observed toward marginally higher cut-offs for the NRTIs. These results suggest that the updated CCOs provide a relevant tool for estimating the contribution to virological response of individual antiviral drugs in antiretroviral drug combinations as used currently in clinical practice.

A combined genotypic and phenotypic human immunodeficiency virus type 1 recombinant virus assay for the reverse transcriptase and integrase genes

With the approval of the first HIV-1 integrase inhibitor raltegravir and a second one in phase III clinical development (elvitegravir), genotypic and phenotypic resistance assays are required to guide antiretroviral therapy and to investigate treatment failure. In this study, a genotypic and phenotypic recombinant virus assay was validated for determining resistance against integrase inhibitors. The assays are based on the amplification of a region encompassing not only HIV-1 integrase, but also reverse transcriptase and RNAseH. The overall amplification success was 85% (433/513) and increased to 93% (120/129) for samples with a viral load above 3 log(10) copies/ml. Both B and non-B HIV-1 subtypes could be genotyped successfully (93%; 52/56 and 100%; 49/49, respectively) and reproducibly. The phenotypic assay showed a high success rate (96.5%; 139/144) for subtype B (100%; 19/19) and non-B subtypes (92%; 45/49), and was found to be accurate and reproducible as assessed using well-characterized integrase mutants. Using both assays, baseline resistance to raltegravir and elvitegravir in subtype B and non-B HIV-1 strains selected at random was not observed, although integrase polymorphisms were present at varying prevalence. Biological cutoff values were found to be 2.1 and 2.0 for raltegravir and elvitegravir, respectively. In summary, a genotypic and phenotypic integrase resistance assay was validated successfully for accuracy, reproducibility, analytical and clinical sensitivity, and dynamic range.

A comparative analysis of HIV drug resistance interpretation based on short reverse transcriptase sequences versus full sequences

BackgroundAs second-line antiretroviral treatment (ART) becomes more accessible in resource-limited settings (RLS), the need for more affordable monitoring tools such as point-of-care viral load assays and simplified genotypic HIV drug resistance (HIVDR) tests increases substantially. The prohibitive expenses of genotypic HIVDR assays could partly be addressed by focusing on a smaller region of the HIV reverse transcriptase gene (RT) that encompasses the majority of HIVDR mutations for people on ART in RLS. In this study, an in silico analysis of 125,329 RT sequences was performed to investigate the effect of submitting short RT sequences (codon 41 to 238) to the commonly used virco®TYPE and Stanford genotype interpretation tools.ResultsPair-wise comparisons between full-length and short RT sequences were performed. Additionally, a non-inferiority approach with a concordance limit of 95% and two-sided 95% confidence intervals was used to demonstrate concordance between HIVDR calls based on full-length and short RT sequences.The results of this analysis showed that HIVDR interpretations based on full-length versus short RT sequences, using the Stanford algorithms, had concordance significantly above 95%. When using the virco®TYPE algorithm, similar concordance was demonstrated (>95%), but some differences were observed for d4T, AZT and TDF, where predictions were affected in more than 5% of the sequences. Most differences in interpretation, however, were due to shifts from fully susceptible to reduced susceptibility (d4T) or from reduced response to minimal response (AZT, TDF) or vice versa, as compared to the predicted full RT sequence. The virco®TYPE prediction uses many more mutations outside the RT 41-238 amino acid domain, which significantly contribute to the HIVDR prediction for these 3 antiretroviral agents.ConclusionsThis study illustrates the acceptability of using a shortened RT sequences (codon 41-238) to obtain reliable genotype interpretations by virco®TYPE and Stanford algorithms. Implementation of this simplified protocol could significantly reduce the cost of both resistance testing and ARV treatment monitoring in RLS.

A synthetic HIV-1 subtype C backbone generates comparable PR and RT resistance profiles to a subtype B backbone in a recombinant virus assay.

In order to determine phenotypic protease and reverse transcriptase inhibitor-associated resistance in HIV subtype C virus, we have synthetically constructed an HIV-1 subtype C (HIV-1-C) viral backbone for use in a recombinant virus assay. The in silico designed viral genome was divided into 4 fragments, which were chemically synthesized and joined together by conventional subcloning. Subsequently, gag-protease-reverse-transcriptase (GPRT) fragments from 8 HIV-1 subtype C-infected patient samples were RT-PCR-amplified and cloned into the HIV-1-C backbone (deleted for GPRT) using In-Fusion reagents. Recombinant viruses (1 to 5 per patient sample) were produced in MT4-eGFP cells where cyto-pathogenic effect (CPE), p24 and Viral Load (VL) were monitored. The resulting HIV-1-C recombinant virus stocks (RVS) were added to MT4-eGFP cells in the presence of serial dilutions of antiretroviral drugs (PI, NNRTI, NRTI) to determine the fold-change in IC50 compared to the IC50 of wild-type HIV-1 virus. Additionally, viral RNA was extracted from the HIV-1-C RVS and the amplified GPRT products were used to generate recombinant virus in a subtype B backbone. Phenotypic resistance profiles in a subtype B and subtype C backbone were compared. The following observations were made: i) functional, infectious HIV-1 subtype C viruses were generated, confirmed by VL and p24 measurements; ii) their rate of infection was slower than viruses generated in the subtype B backbone; iii) they did not produce clear CPE in MT4 cells; and iv) drug resistance profiles generated in both backbones were very similar, including re-sensitizing effects like M184V on AZT.