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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.

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.

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.

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 Integrating CCR5 antagonists into clinical practice would benefit from accurate assays of co-receptor usage (CCR5 versus CXCR4) with fast turnaround and low cost. DESIGN Published HIV V3-loop based predictors of co-receptor usage were compared with actual phenotypic tropism results in a large cohort of antiretroviral naive individuals to determine accuracy on clinical samples and identify areas for improvement. METHODS Aligned HIV envelope V3 loop sequences (n = 977), derived by bulk sequencing were analyzed by six methods: the 11/25 rule; a neural network (NN), two support vector machines, and two subtype-B position specific scoring matrices (PSSM). Co-receptor phenotype results (Trofile Co-receptor Phenotype Assay; Monogram Biosciences) were stratified by CXCR4 relative light unit (RLU) readout and CD4 cell count. RESULTS Co-receptor phenotype was available for 920 clinical samples with V3 genotypes having fewer than seven amino acid mixtures (n = 769 R5; n = 151 X4-capable). Sensitivity and specificity for predicting X4 capacity were evaluated for the 11/25 rule (30% sensitivity/93% specificity), NN (44%/88%), PSSM(sinsi) (34%/96%), PSSM(x4r5) (24%/97%), SVMgenomiac (22%/90%) and SVMgeno2pheno (50%/89%). Quantitative increases in sensitivity could be obtained by optimizing the cut-off for methods with continuous output (PSSM methods), and/or integrating clinical data (CD4%). Sensitivity was directly proportional to strength of X4 signal in the phenotype assay (P < 0.05). CONCLUSIONS Current default implementations of co-receptor prediction algorithms are inadequate for predicting HIV X4 co-receptor usage in clinical samples, particularly those X4 phenotypes with low CXCR4 RLU signals. Significant improvements can be made to genotypic predictors, including training on clinical samples, using additional data to improve predictions and optimizing cutoffs and increasing genotype sensitivity.

Background: There exist concerns regarding the potential for elevated rates of anti-retroviral resistance among HIV-infected injection drug users (IDUs) prescribed highly active antiretroviral therapy (HAART), however, no population-based study has examined if IDUs have elevated rates of antiretroviral resistance in comparison to non-IDUs. Objective: To evaluate the time to the development of antiretroviral resistance among antiretroviral-naive patients with and without a history of injection drug use. Methods: In British Columbia there is a province-wide HIV/AIDS treatment program that provides antiretrovirals free of charge. We examined all antiretroviral-naive patients initiating HAART between 1 August 1996 and 30 September 2000 and who were followed to 31 March 2002. The main outcome measure was the time to class-specific antiretroviral resistance. Cumulative antiretroviral resistance rates among IDUs and non-IDUs were evaluated using Kaplan-Meier methods and relative hazards were estimated using Cox regression. Results: Overall, 1191 antiretroviral-naive patients initiated HAART during the study period. Resistance mutations were observed in 298 (25%) subjects during the first 30 months of HAART. In comparison with non-IDUs, the risk of protease inhibitor resistance [relative hazard (RH), 0.9; 95% confidence interval (Cl), 0.5-1.6] and non-nucleoside reverse transcriptase inhibitor resistance (RH, 1.5; 95% Cl, 1.0-2.2) were similar among IDUs, and there were no differences in the rates of resistance to the sub-classes of nucleoside reverse transcriptase inhibitors. Conclusions: Resistance to all major classes of antiretrovirals were similar among IDUs and non-IDUs after 30 months of follow-up. These findings should help to allay fears that prescribing HAART to IDUs may result in elevated rates of resistance.

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.

OBJECTIVE Natural genetic polymorphisms within the CCR5 gene and promoter have been linked to patterns of HIV-1 clinical disease progression in untreated individuals. The objective of this retrospective study was to assess the influence of the CCR5Delta32 mutation and promoter polymorphisms on virological and immunological treatment outcome in 436 antiretroviral-naive individuals initiating their first therapy, over a mean follow-up time of 22 months. METHODS Genotypes for the CCR5Delta32 and promoter were determined by polymerase chain reaction amplification of human DNA from plasma, followed by gel electrophoresis for CCR5Delta32 or DNA sequencing for the promoter polymorphisms. Time to virological failure [defined as the second plasma viral load > or = 400 copies HIV-1 RNA/ml) and immunological failure (defined as time to achieve two successive CD4 cell counts below baseline) were analyzed by Kaplan-Meier methods. RESULTS The five most common CCR5 promoter polymorphisms were observed at positions 208(G/T), 303(A/G), 627(C/T), 676(A/G), and 927(C/T). Allele frequencies were 0.24(208T), 0.38(303G), 0.44(627T), 0.35(676G) and 0.18(927T). The CCR5Delta32 allele frequency was 0.08. The promoter polymorphisms existed in strong linkage disequilibrium with each other and the Delta32. No significant effect of the individual CCR5Delta32 or promoter polymorphisms could be demonstrated with respect to time to treatment failure as defined by virological or immunological parameters (P > or = 0.07). Similarly, when combined CCR5Delta32 and promoter genotypes were analyzed in order to account for linkage disequilibrium, no significant effect was observed on time to virological or immunological failure (P > 0.6). CONCLUSION CCR5Delta32 and promoter genotypes may not be of clinical relevance in predicting initial virological or immunological response to antiretroviral therapy.

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 .

BACKGROUND A tropism test is required before administration of the antiretroviral drug maraviroc. However, plasma RNA testing is not possible in patients with undetectable plasma viral loads. Here we assess genotypic testing of cellular human immunodeficiency virus (HIV) DNA from peripheral blood mononuclear cells (PBMCs) to predict virologic responses in treatment-experienced patients beginning maraviroc-containing regimens. METHODS PBMC samples from 181 maraviroc recipients at study entry in MOTIVATE or A4001029 (51% R5 by original Trofile). The V3 loop was amplified in triplicate from cellular HIV DNA, and matching plasma RNA (n = 156). Sequencing was performed using standard population-based methods and next-generation deep sequencing, with tropism assessment as previously defined. RESULTS Genotypic DNA-based tropism testing from the cellular compartment had 78%-81% sensitivity relative to RNA-based Trofile at the same time point. Cell-based genotypic tropism methods and plasma-based phenotypic and genotypic methods were predictive of virologic response. However, when classifications were discordant, the outcomes favored the plasma predictions over the DNA ones. CONCLUSIONS Genotypic determination of HIV tropism can be performed using cell-derived viral DNA, and is a predictor of virologic success on maraviroc in therapy-experienced patients. However, the PBMC compartment appears to be a suboptimal predictor compared to plasma.

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.

Introduction: Co-infection with GBV-C (`Hepatitis G’ virus) appears to be associated with slower disease progression in HIV-infected, untreated individuals. We wished to determine whether detection of GBV-C RNA was associated with differential response to HIV therapy in a population-based cohort of 461 individuals initiating antiretroviral therapy between June 1996 and August 1998, in British Columbia, Canada. Methods: The presence of GBV-C RNA in plasma was identified by nested RT–PCR, using detection of HIV gag RNA as a positive control. Time to virological success [achieving HIV plasma viral load (pVL) ≤ 500 copies/ml], virological failure (subsequent confirmed pVL > 500 copies/ml) and immunological failure (confirmed CD4 cell count below baseline) were assessed by Kaplan–Meier methods and Cox proportional hazard regression. Results: Of the 441 individuals for whom results were available, 90 (20.4%) had detectable plasma GBV-C RNA. GBV-C RNA was significantly associated with a lower HIV pVL at baseline (P = 0.004). In univariate and multivariate Cox models, GBV-C RNA positive and negative individuals did not differ with respect to time to virological success [risk ratio (RR), 0.98; 95% confidence interval (CI), 0.75–1.27], time to virological failure (RR, 1.10; 95% CI, 0.74–1.65), or time to immunological failure (RR, 1.09; 95% CI, 0.73–1.63). There was no correlation between detection of GBV-C RNA and mutations in the human chemokine receptors CCR5 and CX3CR1, or HIV viral tropism as predicted by the HIV envelope sequence (P > 0.1). Conclusion: GBV-C viremia is relatively common in individuals seeking treatment for HIV infection; however, it does not appear to have any effect on initial antiretroviral therapy response.

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.