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Background Routine HIV drug resistance genotyping identified an integrase sequence harbouring T97A, E138K, G140S and Q148H, with high predicted resistance to all integrase strand transfer inhibitors (INSTIs). Objectives To assess the impact of these substitutions alone and together on phenotypic INSTI susceptibility. Methods We constructed recombinant NL4.3 viruses harbouring all mutation combinations in the autologous integrase sequence. Viruses were grown in GFP-reporter CD4+ T-cells in the presence of 0.01–1000 nM raltegravir, elvitegravir, dolutegravir, bictegravir, and cabotegravir. Infection was measured by imaging cytometry. Results Q148H-containing viruses lacking G140S failed to propagate or mutated in vitro, consistent with fitness costs. Statistically significant reductions in INSTI susceptibility were observed for several mutation combinations, as follows. T97A or G140S alone conferred 3.6- to 5.6-fold decreased susceptibility to raltegravir and elvitegravir. Two-mutation combinations conferred low-to-moderate resistance to raltegravir and elvitegravir only, except G140S/Q148H which eliminated raltegravir and elvitegravir activity and conferred 24.6-, 7.9-, and 107.5-fold reduced susceptibility to dolutegravir, bictegravir and cabotegravir. Addition of E138K to G140S/Q148H conferred 35.5, 11.6 and 208-fold reduced susceptibility to dolutegravir, bictegravir, and cabotegravir, while addition of T97A to G140S/Q148H conferred 318, 121 and >1000-fold reduced susceptibility to these drugs. T97A/E138K/G140S/Q148H in the autologous backbone conferred >300-fold reduced susceptibility to all INSTIs. Notably, bictegravir EC50 was significantly lower when T97A/E138K/G140S/Q148H was introduced into NL4.3, suggesting that other mutations in the autologous sequence enhanced resistance. Conclusions High-level dolutegravir, bictegravir and cabotegravir resistance requires multiple integrase substitutions including compensatory mutations. T97A and E138K further enhance the resistance conferred by G140S/Q148H, yielding >300-fold decreased susceptibility to all INSTIs when all four mutations are present.

The lung is an understudied site of HIV persistence. We isolated 882 subgenomic proviral sequences by single-genome approaches from blood and lung from nine individuals on long-term suppressive antiretroviral therapy (ART), and characterized genetic diversity and compartmentalization using formal tests. Consistent with clonal expansion as a driver of HIV persistence, identical sequences comprised between 9% to 86% of within-host datasets, though their location (blood vs. lung) followed no consistent pattern. The majority (77%) of participants harbored at least one sequence shared across blood and lung, supporting the migration of clonally-expanded cells between sites. No participant exhibited genetic compartmentalization so obvious that it was visually apparent in a phylogeny. When formal tests were applied however, two (22%) participants showed modest yet significant support for compartmentalization when analysis was restricted to distinct proviruses per site. This increased to four participants (44%) when considering all within-host sequences. Thus, while a minority of individuals harbor somewhat distinctive proviral populations in blood and lung, these can simply be due to unequal distributions of clonally-expanded sequences. Importantly, the extent of lung proviral diversity on ART strongly reflected that in blood (Spearman ρ = 0.98, p < 0.0001), confirming blood as a strong indicator of total body proviral diversity. Analysis of on-ART proviral diversity in context of pre-therapy viral diversity in two participants revealed marked differences in proviral longevity and dynamics. Whereas one participant’s proviral pool was rich in ancestral sequences that recapitulated more of HIV’s within-host evolutionary history, the other’s largely comprised more contemporary sequences, including ones that re-seeded the reservoir during a three-year treatment interruption. Results highlight the genetic complexity of proviruses persisting in lung and blood during ART, and the uniqueness of each individual’s proviral composition. Individualized HIV remission and cure strategies may be needed to overcome these challenges.Author SummaryHIV persists in the body despite long-term suppressive antiretroviral therapy. Much of our knowledge about the HIV reservoir comes from studying proviruses in blood, but a fundamental question is whether these are distinct from those in tissues. The lung could theoretically engender genetically distinctive HIV populations, but this remains understudied. Our analysis of nearly 900 proviral sequences from blood and lung of nine individuals with HIV receiving long-term therapy revealed substantial within-host heterogeneity, yet some common patterns. Identical sequences (consistent with clonal expansion of infected cells) were observed in everyone, though at different (9-86%) frequencies. Recovery of shared sequences across blood and lung was common (77% of participants). Fewer than half of participants exhibited blood-lung genetic compartmentalization, and only modestly so. Moreover, when present, compartmentalization was often attributable to differential distribution of identical sequences, not the presence of genetically distinctive populations, across sites. Results also revealed marked inter-individual differences in proviral dynamics, as evidenced by the proportion of persisting proviruses that represented ancestral versus more recently-circulating viral sequences. Critically, the extent of within-host proviral diversity in blood correlated strongly with that in lung, indicating that despite inter-individual heterogeneity, blood is a strong indicator of proviral diversity elsewhere in the body.

The Intact Proviral DNA Assay (IPDA) was developed to address the critical need for a scalable method for intact HIV-1 reservoir quantification. This droplet digital PCR-based assay simultaneously targets two HIV-1 regions to distinguish genomically intact proviruses against a large background of defective ones, and its application has yielded insights into HIV-1 persistence. Reports of assay failures however, attributed to HIV-1 polymorphism, have recently emerged. Here, we describe a diverse North American cohort of people with HIV-1 subtype B, where the IPDA yielded a failure rate of 28% due to viral polymorphism. We further demonstrate that within-host HIV-1 diversity can lead the IPDA to underestimate intact reservoir size, and provide examples of how this phenomenon could lead to erroneous interpretation of clinical trial data. While the IPDA represents a major methodological advance, HIV-1 diversity should be addressed before its widespread adoption as a principal readout in HIV-1 remission trials., The intact proviral DNA assay quantifies the genomically intact HIV reservoir, but assay failure due to HIV-1 polymorphism has been observed. Here, the authors report a 28% failure rate in a cohort of people with HIV-1, and note within-host HIV-1 diversity as a further challenge to IPDA accuracy.

McCann et al. describe the development and characterization of a new mouse model for studying HIV-specific T cell responses and testing various immunotherapeutic strategies, which they validate by demonstrating enhanced therapeutic effects of autologous HIV-specific T cells augmented with cytokine-loaded nanogels., HIV-specific CD8+ T cells partially control viral replication and delay disease progression, but they rarely provide lasting protection, largely due to immune escape. Here, we show that engrafting mice with memory CD4+ T cells from HIV+ donors uniquely allows for the in vivo evaluation of autologous T cell responses while avoiding graft-versus-host disease and the need for human fetal tissues that limit other models. Treating HIV-infected mice with clinically relevant HIV-specific T cell products resulted in substantial reductions in viremia. In vivo activity was significantly enhanced when T cells were engineered with surface-conjugated nanogels carrying an IL-15 superagonist, but it was ultimately limited by the pervasive selection of a diverse array of escape mutations, recapitulating patterns seen in humans. By applying mathematical modeling, we show that the kinetics of the CD8+ T cell response have a profound impact on the emergence and persistence of escape mutations. This “participant-derived xenograft” model of HIV provides a powerful tool for studying HIV-specific immunological responses and facilitating the development of effective cell-based therapies.

Changes in HIV tropism from R5 to non-R5 or development of drug resistance is often associated with virologic failure in patients treated with maraviroc, a CCR5 antagonist. We sought to examine changes in HIV envelope sequences and inferred tropism in patients who did not respond to maraviroc-based regimens. We selected 181 patients who experienced early virologic failure on maraviroc-containing therapy in the MOTIVATE trials. All patients had R5 HIV by the original Trofile assay before entry. We used population-based sequencing methods and the geno2pheno algorithm to examine changes in tropism and V3 sequences at the time of failure. Using deep sequencing, we assessed whether V3 sequences observed at failure emerged from preexisting subpopulations. From population genotyping data at failure, 90 patients had R5 results, and 91 had non-R5 results. Of the latter group, the geno2pheno false-positive rate (FPR) value fell from a median of 20 at screening to 1.1 at failure. By deep sequencing, the median percentage of non-R5 variants in these patients rose from 1.4% to 99.5% after a median of 4 weeks on maraviroc. In 70% of cases, deep sequencing could detect a pretreatment CXCR4-using subpopulation, which emerged at failure. Overall, there were two distinct patterns of failure of maraviroc. Patients failing with R5 generally had few V3 substitutions and low non-R5 prevalence by deep sequencing. Patients with non-R5 HIV who were failing developed very-high-prevalence non-R5 HIV (median, 99%) and had very low geno2pheno values.

HIV-1 tropism can be predicted using V3 genotypic algorithms. The performance of these prediction algorithms for non-B subtypes is poorly characterized. Here, we use these genotypic algorithms to predict viral tropism of HIV-1 subtype A, B, C, and D to find apparent sensitivity, specificity, and concordance against a recombinant phenotypic assay, the original Trofile assay. This is a substudy of an epidemiological study (Pfizer A4001064). Plasma samples were selected to represent a large number of DM/X4 and R5 viruses. The HIV-1 env gene V3 loop was genotyped by Sanger sequencing (N=260) or 454 "deep" sequencing (N=280). Sequences were scored with g2p[coreceptor], PSSM X4/R5, PSSM SI/NSI, and PSSM subtype C matrices. Overall, non-B subtypes tropism prediction had similar concordance and apparent sensitivity and specificity as subtype B in predicting Trofile's results in both population sequencing (81.3%, 65.6%, and 90.5% versus 84.2%, 78.5%, and 88.2%) and 454 "deep" sequencing (82.3%, 80.0%, and 83.6% versus 86.8%, 92.0%, and 82.6%) using g2p[coreceptor]. By population sequencing, subtype A had lower sensitivity, whereas subtype D had lower specificity for non-R5 predictions, both in comparison to subtype B. 454 "deep" sequencing improved subtype A sensitivity but not subtype D. Subtype C had greater concordance than subtype B regardless of sequencing methods. In conclusion, genotypic tropism prediction algorithms may be applied to non-B HIV-1 subtypes with caution. Collective analysis of non-B subtypes revealed a performance similar to subtype B, whereas a subtype-specific analysis revealed overestimation (subtype D) or underestimation (subtype A).

Background. HLA class I–restricted cytotoxic T lymphocytes and highly active antiretroviral therapy (HAART) exert strong selective pressures on human immunodeficiency virus type 1 (HIV-1), leading to escape mutations compromising virologic control. Immune responses continue to shape HIV-1 evolution after HAART initiation, but the extent and rate at which this occurs remain incompletely quantified. Here, we characterize the incidence and clinical correlates of HLA-associated evolution in HIV-1 Pol after HAART initiation in a large, population-based observational cohort. Methods. British Columbia HAART Observational, Medical Evaluation and Research cohort participants with available HLA class I types and longitudinal posttherapy protease/reverse transcriptase sequences were studied (n 5 619; median, 5 samples per patient and 5.2 years of follow-up). HLA-associated polymorphisms were defined according to published reference lists. Rates and correlates of immune-mediated HIV-1 evolution were investigated using multivariate Cox proportional hazard models incorporating baseline and time-dependent plasma viral load and CD4 response data. Results. New HLA-associated escape events were observed in 269 (43%) patients during HAART and occurred at 49 of 63 (78%) investigated immune-associated sites in Pol. In time-dependent analyses adjusting for baseline factors, poorer virologic, but not immunologic, response to HAART was associated with increased risk of immune escape of 1.9-fold per log10 viral load increment (P , .0001). Reversion of escape mutations following HAART initiation was extremely rare. Conclusions. HLA-associated HIV-1 evolution continues during HAART to an extent that is inversely related to the virologic success of therapy. Minimizing the degree of immune escape could represent a secondary benefit of effective HAART.

Rare individuals homozygous for a naturally-occurring 32 base pair deletion in the CCR5 gene (CCR5∆32/∆32) are resistant to infection by CCR5-using (“R5”) HIV-1 strains but remain susceptible to less common CXCR4-using (“X4”) strains. The evolutionary dynamics of X4 infections however, remain incompletely understood. We identified two individuals, one CCR5wt/wt and one CCR5∆32/∆32, within the Vancouver Injection Drug Users Study who were infected with a genetically similar X4 HIV-1 strain. While early-stage plasma viral loads were comparable in the two individuals (~4.5–5 log10 HIV-1 RNA copies/ml), CD4 counts in the CCR5wt/wt individual reached a nadir of 3 within 17 months but remained >250 cells/mm3 in the CCR5∆32/∆32 individual. Ancestral phylogenetic reconstructions using longitudinal envelope-V3 deep sequences suggested that both individuals were infected by a single transmitted/founder (T/F) X4 virus that differed at only one V3 site (codon 24). While substantial within-host HIV-1 V3 diversification was observed in plasma and PBMC in both individuals, the CCR5wt/wt individual’s HIV-1 population gradually reverted from 100% X4 to ~60% R5 over ~4 years whereas the CCR5∆32/∆32 individual’s remained consistently X4. Our observations illuminate early dynamics of X4 HIV-1 infections and underscore the influence of CCR5 genotype on HIV-1 V3 evolution.

Background The main determinants of HIV-1 coreceptor usage are located in the V3-loop of gp120, although mutations in V2 and gp41 are also known. Incorporation of V2 is known to improve prediction algorithms; however, this has not been confirmed for gp41 mutations. Methods Samples with V3 and gp41 genotypes and Trofile assay (Monogram Biosciences, South San Francisco, CA, USA) results were taken from the HOMER cohort ( n=444) and from patients screened for the MOTIVATE studies ( n=1,916; 859 with maraviroc outcome data). Correlations of mutations with tropism were assessed using Fisher's exact test and prediction models trained using support vector machines. Models were validated by cross-validation, by testing models from one dataset on the other, and by analysing virological outcome. Results Several mutations within gp41 were highly significant for CXCR4 usage; most strikingly an insertion occurring in 7.7% of HOMER-R5 and 46.3% of HOM-ER-X4 samples (MOTIVATE 5.7% and 25.2%, respectively). Models trained on gp41 sequence alone achieved relatively high areas under the receiver- operating characteristic curve (AUCs; HOMER 0.713 and MOTIVATE 0.736) that were almost as good as V3 models (0.773 and 0.884, respectively). However, combining the two regions improved predictions only marginally (0.813 and 0.902, respectively). Similar results were found when models were trained on HOMER and validated on MOTIVATE or vice versa. The difference in median log viral load decrease at week 24 between patients with R5 and X4 virus was 1.65 (HOMER 2.45 and MOTIVATE 0.79) for V3 models, 1.59 for gp41-models (2.42 and 0.83, respectively) and 1.58 for the combined predictor (2.44 and 0.86, respectively). Conclusions Several mutations within gp41 showed strong correlation with tropism in two independent datasets. However, incorporating gp41 mutations into prediction models is not mandatory because they do not improve substantially on models trained on V3 sequences alone.

Rapidly evolving viruses such as HIV-1 display extensive sequence variation in response to host-specific selection, while simultaneously maintaining functions that are critical to replication and infectivity. This apparent conflict between diversifying and purifying selection may be resolved by an abundance of epistatic interactions such that the same functional requirements can be met by highly divergent sequences. We investigate this hypothesis by conducting an extensive characterization of sequence variation in the HIV-1 nef gene that encodes a highly variable multifunctional protein. Population-based sequences were obtained from 686 patients enrolled in the HOMER cohort in British Columbia, Canada, from which the distribution of nonsynonymous substitutions in the phylogeny was reconstructed by maximum likelihood. We used a phylogenetic comparative method on these data to identify putative epistatic interactions between residues. Two interactions (Y120/Q125 and N157/S169) were chosen to further investigate within-host evolution using HIV-1 RNA extractions from plasma samples from eight patients. Clonal sequencing confirmed strong linkage between polymorphisms at these sites in every case. We used massively parallel pyrosequencing (MPP) to reconstruct within-host evolution in these patients. Experimental error associated with MPP was quantified by performing replicates at two different stages of the protocol, which were pooled prior to analysis to reduce this source of variation. Phylogenetic reconstruction from these data revealed correlated substitutions at Y120/Q125 or N157/S169 repeated across multiple lineages in every host, indicating convergent within-host evolution shaped by epistatic interactions.

We investigated the associations between coreceptor use, V3 loop sequence, and CD4 count in a cross-sectional analysis of a large cohort of chronically HIV-infected, treatment-naive patients. HIV coreceptor usage was determined in the last pretherapy plasma sample for 977 individuals initiating HAART in British Columbia, Canada using the Monogram Trofile Tropism assay. Relative light unit (RLU) readouts from the Trofile assay, as well as HIV V3 loop sequence data, were examined as a function of baseline CD4 cell count for 953 (97%) samples with both phenotype and genotype data available. Median CCR5 RLUs were high for both R5 and X4-capable samples, while CXCR4 RLUs were orders of magnitude lower for X4 samples (p < 0.001). CCR5 RLUs in R5 samples (N = 799) increased with decreasing CD4 count (p < 0.001), but did not vary with plasma viral load (pVL) (p = 0.74). In X4 samples (N = 178), CCR5 RLUs decreased with decreasing CD4 count (p = 0.046) and decreasing pVL (p = 0.097), while CXCR4 RLUs increased with decreasing pVL (p = 0.0008) but did not vary with CD4 (p = 0.96). RLUs varied with the presence of substitutions at V3 loop positions 11, 25, and 6-8. The prevalence and impact of substitutions at codons 25 and 6-8 were CD4 dependent as was the presence of amino acid mixtures in the V3; substitutions at position 11 were CD4 independent. Assay RLU measures predictably vary with both immunological and virological parameters. The ability to predict X4 virus using genotypic determinants at positions 25 and 6-8 of the V3 loop is CD4 dependent, while position 11 appears to be CD4 independent.

Objective. The objective of this study was to systematically characterize the incidence and determinants of antiretroviral resistance in the HOMER (Highly Active Antiretroviral Therapy [HAART] Observational Medical Evaluation and Research) cohort of 1191 human immunodeficiency virus-infected, antiretroviral-naive adults initiating HAART in British Columbia, Canada.Methods. All plasma samples with plasma virus loads (pVLs) >1000 copies/mL collected during the first 30 months of follow-up were genotyped for drug resistance. The primary outcome measure was time to the first detection of major drug-resistance mutation(s). Cox proportional hazard regression was used to identify factors significantly associated with the detection of drug-resistance mutations.Results. Drug-resistance mutations were detected in 298 subjects (25%). Factors significantly associated with detection of drug-resistance mutations included high baseline pVL (multivariate hazard ratio [HR], 1.59; P < .001) and adherence (estimated using prescription-refill data and/or untimed plasma drug-concentration measurements). When compared with subjects with low (0%

Objective: Single nucleotide polymorphisms (SNP) in the genes encoding the human CX 3 CR1 chemokine receptor and the P-glycoprotein multidrug transporter have been associated with accelerated disease progression in untreated individuals and implicated in therapeutic response, respectively. This retrospective study assessed the influence of SNP in the CX 3 CR1 and MDR-1 genes on initial virological and immunological response in 461 HIV-infected, antiretroviral-naive individuals initiating antiretroviral therapy in British Columbia, Canada. Methods: CX 3 CR1 and MDR-1 SNP were determined by PCR amplification of human DNA from plasma, followed by DNA sequencing. Time to virological success [time to HIV plasma viral load (pVL) ≤ 500 copies/ml], virological failure (subsequent time to the second of two consecutive pVL ≥ 500) and immunological failure (time to the second consecutive CD4 cell count below baseline) were analyzed by Kaplan-Meier methods. Results: Frequencies of CX 3 CR1 amino acid haplotypes were 249V 280T (0.75), 2491 280M (0.15), and 2491 280T (0.1). Frequencies of MDR-1 nucleotide polymorphisms were 3435C (0.47) and 3435T (0.53). There was no effect detected for SNP in CX 3 CR1 or MDR-1 on time to virological success, nor of CX 3 CR1 and MDR-1 SNP on time to virological and immunological failure, respectively (P>0.1). There was a trend to earlier virological failure in the MDR-1 3435C/C genotype group (P = 0.07), and a statistically significant trend to earlier immunological failure in individuals with the CX 3 CR1 2491 polymorphism (P= 0.02). These remained significant after correcting for baseline age, sex, pVL, CD4 cell count, type of therapy, and adherence (P ≤ 0.05). Conclusion: Polymorphisms in MDR-1 and CX 3 CR1 may be associated with accelerated virological and immunological therapy failure, respectively.

Next generation, "deep", sequencing has increasing applications both clinically and in disparate fields of research. This study investigates the accuracy and reproducibility of "deep" sequencing as applied to co-receptor prediction using the V3 loop of Human Immunodeficiency Virus-1. Despite increasing use in HIV co-receptor prediction, the accuracy and reproducibility of deep sequencing technology, and the factors which can affect it, have received only a limited level of investigation. To accomplish this, repeated deep sequencing results were generated using the Roche GS-FLX (454) from a number of sources including a non-homogeneous clinical sample (N = 47 replicates over 18 deep sequencing runs), and a large clinical cohort from the MOTIVATE and A400129 studies (N = 1521). For repeated measurements of a non-homogeneous clinical sample, increasing input copy number both decreased variance in the measured proportion of non-R5 using virus (p<

We applied an efficient method to characterize the relative fitness levels of multiple nonnucleoside reverse transcriptase (NNRTI)-resistant HIV-1 variants by simultaneous competitive culture and 454 deep sequencing. Using this method, we show that the Y181V mutation in the HIV-1 reverse transcriptase in particular confers a clear selective advantage to the virus over 14 other NNRTI resistance mutations in the presence of etravirine in vitro .

OBJECTIVES Using deep sequencing methods, we intensively investigated the selective pressure of maraviroc on the viral population in four patients with dual/mixed HIV-1 experiencing treatment failure. METHODS Patients received maraviroc add-on therapy (n = 4). Tropism was determined by Monogram's Trofile assay and/or 'deep' sequencing. Longitudinal 'deep' sequence analysis used triplicate HIV V3 RT-PCR on plasma samples. Sequences were interpreted using the geno2phenocoreceptor algorithm with a 3.5% false-positive rate (FPR) cut-off. RESULTS Patients had a median viral load of 4.7 log10 HIV RNA copies/mL with a median of 24% chemokine (C-X-C motif) receptor 4 (CXCR4)-using virus at baseline. Following maraviroc exposure, the chemokine (C-C motif) receptor 5 (CCR5)-using virus (R5) plasma viral load decreased by at least 1 log10, and only non-R5 variants with extremely low FPR values predominated after 21 days. Virus with an FPR ≤1.8% accounted for more than 90% of the circulating virus, having expanded to occupy the 'space' left by the suppression of R5 variants. Population genetic estimates of viral fitness in the presence of maraviroc showed a steep rise around an FPR value of 2%. CONCLUSIONS Longitudinal analysis of independent R5 and non-R5 HIV populations shows that maraviroc selects viruses with an extremely low FPR, implying that the antiviral activity of maraviroc may extend to a broader range of HIV variants than previously suspected.

BACKGROUND MERIT was a randomized trial comparing maraviroc (MVC) + Combivir versus efavirenz (EFV) + Combivir in drug-naive patients screened as having R5 HIV-1 by the original Trofile assay (OTA). We retrospectively evaluated treatment response after rescreening for viral tropism using population-based V3-loop sequencing. METHODS HIV env V3-loop was amplified in triplicate using reverse transcriptase-polymerase chain reaction from stored screening plasma and sequenced. Automated base calling was performed using custom software (RECall) and tropism inferred by geno2pheno (5.75% false-positive rate). Tropism results by genotype were compared with those of OTA and Enhanced Sensitivity Trofile assay (ESTA), where all results were available (n = 876). RESULTS Approximately 8% of patients screened as having R5 virus by OTA were classified as having non-R5 virus by V3-loop genotyping. These patients were less likely to have early or sustained week-48 treatment response to MVC, but not EFV. When restricted to patients with R5 virus by genotype, reanalysis of the primary study endpoint (plasma viral load

Background. The Maraviroc versus Optimized Therapy in Viremic Antiretroviral Treatment-Experienced Patients (MOTIVATE) studies compared maraviroc versus placebo in treatment-experienced patients with CCR5-using (R5) human immunodeficiency virus type 1 (HIV-1), screened using the original Trofile assay. A subset with non-R5 HIV infection entered the A4001029 trial. We retrospectively examined the performance of a genotypic tropism assay based on deep sequencing of the HIV env V3 loop in predicting virologic response to maraviroc in these trials. Methods. V3 amplicons were prepared from 1827 screening plasma samples and sequenced on a Roche/454 GS-FLX to a depth of >3000 sequences/sample. Samples were considered non-R5 if ≥2% of their viral population scored greater than or equal to −4.75 or ≤3.5 using the PSSMx4/R5 or geno2pheno algorithms, respectively. Results. Deep sequencing identified more than twice as many maraviroc recipients as having non-R5 HIV, compared with the original Trofile. With use of genotyping, we determined that 49% of maraviroc recipients with R5 HIV at screening had a week 48 viral load

Background: Tropism testing should rule out CXCR4-using HIV before treatment with CCR5 antagonists. Currently, the recombinant phenotypic Trofile assay (Monogram) is most widely utilized; however, genotypic tests may represent alternative methods. Methods: Independent triplicate amplifications of the HIV gp120 V3 region were made from either plasma HIV RNA or proviral DNA. These underwent standard, population-based sequencing with an ABI3730 (RNA n = 63; DNA n = 40), or "deep" sequencing with a Roche/454 Genome Sequencer-FLX (RNA n = 12; DNA n = 12). Position-specific scoring matrices (PSSM X4/R5 ) (—6.96 cutoff) and geno2pheno [coreceptor] (5% false-positive rate) inferred tropism from V3 sequence. These methods were then independently validated with a separate, blinded dataset (n = 278) of screening samples from the maraviroc MOTIVATE trials. Results: Standard sequencing of HIV RNA with PSSM yielded 69% sensitivity and 91 % specificity, relative to Trofile. The validation dataset gave 75% sensitivity and 83% specificity. Proviral DNA plus PSSM gave 77% sensitivity and 71 % specificity. "Deep" sequencing of HIV RNA detected >2% inferred-CXCR4―using virus in 8/8 samples called non-R5 by Trofile, and

Two recombinant phenotypic assays for human immunodeficiency virus (HIV) coreceptor usage and an HIV envelope genotypic predictor were employed on a set of clinically derived HIV type 1 (HIV-1) samples in order to evaluate the concordance between measures. Previously genotyped HIV-1 samples derived from antiretroviral-naïve individuals were tested for coreceptor usage using two independent phenotyping methods. Phenotypes were determined by validated recombinant assays that incorporate either an ∼2,500-bp (“Trofile” assay) or an ∼900-bp (TRT assay) fragment of the HIV envelope gp120. Population-based HIV envelope V3 loop sequences (∼105 bp) were derived by automated sequence analysis. Genotypic coreceptor predictions were performed using a support vector machine model trained on a separate genotype-Trofile phenotype data set. HIV coreceptor usage was obtained from both phenotypic assays for 74 samples, with an overall 85.1% concordance. There was no evidence of a difference in sensitivity between the two phenotypic assays. A bioinformatic algorithm based on a support vector machine using HIV V3 genotype data was able to achieve 86.5% and 79.7% concordance with the Trofile and TRT assays, respectively, approaching the degree of agreement between the two phenotype assays. In most cases, the phenotype assays and the bioinformatic approach gave similar results. However, in cases where there were differences in the tropism results, it was not clear which of the assays was “correct.” X4 (CXCR4-using) minority species in clinically derived samples likely complicate the interpretation of both phenotypic and genotypic assessments of HIV tropism.

BACKGROUND: The HIV-1 envelope third variable loop (V3 loop) is an important determinant of viral phenotype and co-receptor usage. We wished to determine the impact of specific V3 genotypes associated with viral phenotype and co-receptor usage on response to initial triple antiretroviral therapy. METHODS: Pre-therapy plasma samples from the HOMER cohort of 1191 antiretroviral-naive, HIV-infected adults who initiated triple therapy in British Columbia, Canada between August 1996 and September 1999 were genotyped for V3 loop sequence. V3 sequences were dichotomized by the presence or absence of positively charged residues at codons 11 and/or 25 (an '11/25' genotype). Neural network (NN) and Position Specific Scoring Matrix (PSSM) approaches were used as alternative V3 sequence interpretation methods. The association of V3 genotypes with clinical endpoints was assessed over a median of 43 months of follow up. RESULTS: One-hundred and eighteen (10.9%) of the 1085 isolates successfully genotyped for V3 displayed the 11/25 genotype. In multivariate analyses, this genotype was associated with a more rapid CD4 decline [risk ratio, (RR), 1.38; P = 0.012] and earlier mortality (RR, 1.70; P = 0.027), despite comparable viral load suppression below 500 HIV RNA copies/ml. We observed no influence of the 11/25 genotype on time to viral rebound or the development of drug resistance. PSSM-based sequence categories were similarly predictive of outcomes. NN sequence categories were not associated with any endpoints. CONCLUSION: The 11/25 genotype of the HIV V3 loop is an independent predictor of poor immunological response and more rapid mortality even after starting triple antiretroviral therapy. These results may prove to be useful for the clinical management of HIV-infected individuals.

In North America, the B subtype of the major group (M) of HIV-1 predominates. Phylogenetic analysis of HIV reverse transcriptase and protease sequences isolated from 479 therapy-naive patients, first seeking treatment in British Columbia between June 1997 and August 1998, revealed a prevalence of 4.4% non-B virus. A range of different subtypes was identified, including one subtype A, 11 C, two D, five CRF01_AE, and one sample that could not be reliably subtyped. Baseline CD4 counts were significantly lower in individuals harbouring the non-B subtypes ( P=0.02), but baseline viral loads were similar ( P=0.80). In this study, individuals infected with non-B variants did not have a significantly different virological response to therapy after up to 18 months.

BACKGROUND:HIV patients on suppressive antiretroviral therapy have undetectable viremia making it impossible to screen plasma HIV tropism if regimen change is required during suppression. We investigated the prevalence and predictors of tropism switch from CCR5-using ("R5") to non-CCR5-using ("non-R5") before and after viral suppression in the initially therapy-naïve HOMER cohort from British Columbia, Canada. METHODS:We compared pre-therapy and post-suppression viral genotypic tropism in patients who initiated on PI/NNRTI-based antiretroviral regimens between 1996-1999 (n = 462). Virologic suppression was defined as having two consecutive viral loads of

Objectives: This study examined the frequency of transmission of drug resistant HIV in the population of injecting drug users (IDU) in Vancouver, Canada during a period of particularly high virus transmission. Design: All subjects enrolled in the Vancouver Injection Drug Users Study who seroconverted from HIV negative to positive status (n=61) between December 1996 and February 1998 were eligible for analysis. The first seropositive sample from 57 individuals with plasma samples available was analyzed for resistance to antiretroviral agents by population based sequencing of the HIV protease and reverse transcriptase genes. Methods: Plasma viral RNA was extracted and the viral reverse transcriptase and protease regions were amplified by nested reverse transcription-PCR.The presence of mutations associated with antiretroviral drug resistance was assessed by automated sequence analysis. Results: Protease and reverse transcriptase sequences were successfully obtained from the 57 recent seroconverters. No cases of transmission of variants associated with significant resistance to protease inhibitors or nucleoside and non-nucleosides reverse transcriptase inhibitors were detected. Conclusion: The frequency of transmission of drug resistant HIV amongst these recently infected IDU is extremely low, with no protease or reverse transcriptase inhibitor resistant strains detected soon after seroconversion. The data provide no rationale for withholding treatment from this already marginalized population.