Genotypic tropism testing: evidence-based or leap of faith?

Clinical use, efficacy, and durability of maraviroc for antiretroviral therapy in routine care: A European survey

OBJECTIVES

The study aimed to survey maraviroc use and assess effectiveness and durability of maraviroc-containing antiretroviral treatment (ART) in routine practice across Europe.

METHODS

Data were retrieved from 26 cohorts in 8 countries comprising adults who started maraviroc in 2005-2016 and had ≥1 follow-up visit. Available V3 sequences were re-analysed centrally for tropism determination by geno2pheno[coreceptor]. Treatment failure (TF) was defined as either virological failure (viral load >50 copies/mL) or maraviroc discontinuation for any reason over 48 weeks. Predictors of TF were explored by logistic regression analysis. Time to maraviroc discontinuation was estimated by Kaplan-Meier survival analysis.

RESULTS

At maraviroc initiation (baseline), among 1,381 patients, 67.1% had experienced ≥3 ART classes and 45.6% had a viral load <50 copies/mL. Maraviroc was occasionally added to the existing regimen as a single agent (7.3%) but it was more commonly introduced alongside other new agents, and was often (70.4%) used with protease inhibitors. Accompanying drugs comprised 1 (40.2%), 2 (48.6%) or ≥3 (11.2%) ART classes. Among 1,273 patients with available tropism data, 17.6% showed non-R5 virus. Non-standard maraviroc use also comprised reported once daily dosing (20.0%) and a total daily dose of 150mg (12.1%). Over 48 weeks, 41.4% of patients met the definition of TF, although the 1-year estimated retention on maraviroc was 82.1% (95% confidence interval 79.9-84.2). Among 1,010 subjects on maraviroc at week 48, the viral load was >50 copies/mL in 19.9% and >200 copies/mL in 10.7%. Independent predictors of TF comprised a low nadir CD4 count, a detectable baseline viral load, previous PI experience, non-R5 tropism, having ≥3 active drugs in the accompanying regimen, and a more recent calendar year of maraviroc initiation.

CONCLUSIONS

This study reports on the largest observation cohort of patients who started maraviroc across 8 European countries. In this overall highly treatment-experienced population, with a small but appreciable subset that received maraviroc outside of standard treatment guidelines, maraviroc was safe and reasonably effective, with relatively low rates of discontinuation over 48 weeks and only 2 cases of serum transaminase elevations reported as reasons for discontinuation.

Validation of the HIV Tropism Test TROCAI Using the Virological Response to a Short-Term Maraviroc Monotherapy Exposure

TROCAI is a phenotypic tropism test developed using the virological response to a short-term exposure to maraviroc monotherapy (Maraviroc Clinical Test [MCT]). It was found that with TROCAI, a cutoff of <0.5% of dual/mixed viruses was needed to predict R5 HIV tropism. Here, we have validated TROCAI, using this cutoff, in a new cohort of 42 patients, finding a very high concordance between TROCAI and MCT (98%), and a good concordance (71 to 87%) with other genotypic/phenotypic methods.

Genotypic Tropism Testing in HIV-1 Proviral DNA Can Provide Useful Information at Low-Level Viremia

The possibility of performing genotypic tropism testing (GTT) with proviral DNA (pvDNA) even during suppressed viremia would facilitate the use of CCR5 inhibitors as part of switching, simplification, or intensification strategies. Thus, we aimed to evaluate the tropism concordance between plasma RNA and pvDNA samples and to assess which factors could affect possible discrepancies between the two compartments. GTT was performed using both plasma RNA and pvDNA from 55 sample pairs from drug-experienced patients. Potential differences between the two compartments were evaluated by analyzing coreceptor usage and genetic variability. Paired samples were also stratified in three levels of viremia (<50, 51 to 500, and >500 copies/ml). Overall, Geno2Pheno comparisons of false-positive rates in the two compartments showed good correlation (r = 0.72). A high level of concordance in tropism predictions for the two compartments was found (46/55 sample pairs [83.6%]). Among the 9 sample pairs with discordant tropisms, a larger proportion of pvDNA samples harboring CXCR4/dual-mixed-tropic viruses was found, in comparison with plasma RNA samples (88.9% versus 11.1%; P = 0.0034). Discordant samples were characterized by greater genetic variability than were concordant samples. With stratification of the paired samples according to viremia levels, the prevalence of discordant samples decreased with increasing viremia (<50 copies/ml, 21.4%; 51 to 500 copies/ml, 15.4%; >500 copies/ml, 6.7%; P = 0.2). Our findings confirm that prediction of viral tropism using pvDNA is feasible even in low-level viremia and provides useful information for therapy optimization for patients with low or suppressed viremia.

HIV co-receptor tropism prediction remains stable over time in treatment-naïve patients

HIV co-receptor tropism determination is essential before prescribing the CCR5 antagonist maraviroc. British HIV Association guidelines suggest tropism testing may remain valid for only 90 days in antiretroviral-naïve patients. We aimed to determine the accuracy of this figure. Tropism was assessed in 26 antiretroviral-naïve patients with ongoing viral replication, sampled yearly from first clinic visit. The V3 region of HIV-1 was sequenced in triplicate, then tropism predicted using the Geno2Pheno system. Baseline tropism prediction remained valid for a median of 52 months (range 7-81). For 19/26 individuals baseline tropism remained unchanged throughout a median of 54 months follow-up; 18 R5 tropic and 1 X4 tropic. In seven patients (27%) baseline tropism switched at least once (range 1-4 switches) during follow-up; however, their baseline tropism prediction remained valid for a median of 45 months. Co-receptor tropism in treatment-naïve patients with ongoing viral replication appears highly stable over time, suggesting that baseline genotypic tropism prediction may be valid for a longer duration in patients delaying ART initiation. In this study, baseline tropism prediction remained valid for a median of 52 months, suggesting current guidelines recommending repeat testing after 90 days may be excessively conservative in their assessment of tropism stability.

Determination of viral tropism by genotyping and phenotyping assays in Brazilian HIV-1-infected patients

The clinical application of CCR5 antagonists involves first determining the coreceptor usage by the infecting viral strain. Bioinformatics programs that predict coreceptor usage could provide an alternative method to screen candidates for treatment with CCR5 antagonists, particularly in countries with limited financial resources. Thus, the present study aims to identify the best approach using bioinformatics tools for determining HIV-1 coreceptor usage in clinical practice. Proviral DNA sequences and Trofile results from 99 HIV-1-infected subjects under clinical monitoring were analyzed in this study. Based on the Trofile results, the viral variants present were 81.1% R5, 21.4% R5X4 and 1.8% X4. Determination of tropism using a Geno2pheno_[coreceptor] analysis with a false positive rate of 10% gave the most suitable performance in this sampling: the R5 and X4 strains were found at frequencies of 78.5% and 28.4%, respectively, and there was 78.6% concordance between the phenotypic and genotypic results. Further studies are needed to clarify how genetic diversity amongst virus strains affects bioinformatics-driven approaches for determining tropism. Although this strategy could be useful for screening patients in developing countries, some limitations remain that restrict the wider application of coreceptor usage tests in clinical practice.

Genotypic tropism prediction from paired cell and plasma using single and replicate sequences

HIV-1 tropism determination is necessary prior to CCR5 antagonist use as antiretroviral therapy. Genotypic prediction of coreceptor use is a practical alternative to phenotypic tests. Cell DNA and plasma RNA-based prediction has shown discordance in many studies. We evaluate paired cell and plasma either as single or replicate V3 sequences to assess prediction comparability. The HIV-1 partial env region was sequenced and tropism was predicted using geno2pheno and position-specific scoring matrices (PSSM). Nucleotide ambiguities at V3 were quantified and genetic distance (Protdist) was determined using BioEdit. Wilcoxon signed-rank test, t tests, and Spearman correlation were performed with Prism GraphPad5.0. Results are expressed as medians, with a level of significance of p<0.05, two tailed. Single (n=28) or replicate (n=26) paired cell/plasma sequences were obtained from 54 patients. Although the clonalfalse-positive rate (FPR) value from both compartments strongly correlated (r=0.86 p<0.0001), discordance in tropism prediction was observed in both singles and replicates using geno2pheno or PSSM. Applying clonalFPR(10%) 46% (25/54) were X4 tropic, with a plasma/cell discordance of 11% in singles and 23% in replicates. Genetic distance (p<0.0001) and clonalFPR value dispersion (p=0.003) were significantly higher among replicate sequences from cells. Discordance of viral tropism prediction is not uncommon and the use of replicates does not decrease its occurrence, but improves X4 sensitivity. Sequences from provirus had greater genetic distance and dispersion of clonalFPR values. This may suggest that DNA replicate assays may better represent the diversity of HIV-1 variants, but the clinical significance of these findings needs further evaluation.

Deep sequencing of HIV: clinical and research applications

Human immunodeficiency virus (HIV) exhibits remarkable diversity in its genomic makeup and exists in any given individual as a complex distribution of closely related but nonidentical genomes called a viral quasispecies, which is subject to genetic variation, competition, and selection. This viral diversity clinically manifests as a selection of mutant variants based on viral fitness in treatment-naive individuals and based on drug-selective pressure in those on antiretroviral therapy (ART). The current standard-of-care ART consists of a combination of antiretroviral agents, which ensures maximal viral suppression while preventing the emergence of drug-resistant HIV variants. Unfortunately, transmission of drug-resistant HIV does occur, affecting 5% to >20% of newly infected individuals. To optimize therapy, clinicians rely on viral genotypic information obtained from conventional population sequencing-based assays, which cannot reliably detect viral variants that constitute <20% of the circulating viral quasispecies. These low-frequency variants can be detected by highly sensitive genotyping methods collectively grouped under the moniker of deep sequencing. Low-frequency variants have been correlated to treatment failures and HIV transmission, and detection of these variants is helping to inform strategies for vaccine development. Here, we discuss the molecular virology of HIV, viral heterogeneity, drug-resistance mutations, and the application of deep sequencing technologies in research and the clinical care of HIV-infected individuals.

HIV-1 tropism testing and clinical management of CCR5 antagonists: Quebec review and recommendations

HIV-1 tropism assays play a crucial role in determining the response to CCR5 receptor antagonists. Initially, phenotypic tests were used, but limited access to these tests prompted the development of alternative strategies. Recently, genotyping tropism has been validated using a Canadian technology in clinical trials investigating the use of maraviroc in both experienced and treatment-naive patients. The present guidelines review the evidence supporting the use of genotypic assays and provide recommendations regarding tropism testing in daily clinical management.

Comparison of genotypic and phenotypic HIV type 1 tropism assay: results from the screening samples of Cenicriviroc Study 202, a randomized phase II trial in treatment-naive subjects

Cenicriviroc is a once-daily oral CCR5/CCR2 antagonist in development for treatment of HIV infection. CVC Study 202 (652-2-202; NCT01338883) excluded treatment-naive subjects demonstrated to harbor non-R5 (CXCR4-tropic or dual-mixed) tropic HIV-1 by either genotypic or phenotypic tropism testing. Here we compare the results of genotypic and phenotypic tropism testing in Study 202. A total of 304 subjects screened had paired genotypic and phenotypic results. Genotypic tropism testing (GTT) incorporated triplicate population sequencing using the geno2pheno algorithm and the PSSM algorithm, followed by ultradeep sequencing (UDS) for samples with R5 results. All samples were further evaluated with a phenotypic test, the enhanced-sensitivity Trofile assay (ESTA). Concordance between GTT and ESTA was 80% and increased to 84% when only geno2pheno was used for triplicate population sequencing. GTT (geno2pheno) classified 18% of the samples as non-R5 compared to 16% by ESTA. Only one-third of samples with non-R5 results by either test were classified as non-R5 by both tests. Median CD4((+)) cell counts were lower in patients with concordant non-R5 results by UDS and ESTA than in subjects with an R5 result by either assay (p=0.0004). UDS detected non-R5 virus in an additional 27/304 subjects (median 15% non-R5, interquartile range: 3.7-62%) with R5 results by ESTA. In conclusion, the geno2pheno algorithm improves concordance of GTT with a clinically validated phenotypic tropism assay as does the use of UDS. These findings provide support for recent guidelines indicating that genotypic tropism testing may be considered as an alternative to phenotypic testing.

Development of a rapid cell-fusion-based phenotypic HIV-1 tropism assay

Introduction

A dual split reporter protein system (DSP), recombining Renilla luciferase (RL) and green fluorescent protein (GFP) split into two different constructs (DSP_1–7 and DSP_8–11), was adapted to create a novel rapid phenotypic tropism assay (PTA) for HIV-1 infection (DSP-Pheno).

Methods

DSP_1–7 was stably expressed in the glioma-derived NP-2 cell lines, which expressed CD4/CXCR4 (N4X4) or CD4/CCR5 (N4R5), respectively. An expression vector with DSP_8–11 (pRE11) was constructed. The HIV-1 envelope genes were subcloned in pRE11 (pRE11-env) and transfected into 293FT cells. Transfected 293FT cells were incubated with the indicator cell lines independently. In developing the assay, we selected the DSP_1–7-positive clones that showed the highest GFP activity after complementation with DSP_8–11. These cell lines, designated N4R5-DSP_1–7, N4X4-DSP_1–7 were used for subsequent assays.

Results

The env gene from the reference strains (BaL for R5 virus, NL4-3 for X4 virus, SF2 for dual tropic virus) subcloned in pRE11 and tested, was concordant with the expected co-receptor usage. Assay results were available in two ways (RL or GFP). The assay sensitivity by RL activity was comparable with those of the published phenotypic assays using pseudovirus. The shortest turnaround time was 5 days after obtaining the patient's plasma. All clinical samples gave positive RL signals on R5 indicator cells in the fusion assay. Median RLU value of the low CD4 group was significantly higher on X4 indicator cells and suggested the presence of more dual or X4 tropic viruses in this group of patients. Comparison of representative samples with Geno2Pheno [co-receptor] assay was concordant.

Conclusions

A new cell-fusion-based, high-throughput PTA for HIV-1, which would be suitable for in-house studies, was developed. Equipped with two-way reporter system, RL and GFP, DSP-Pheno is a sensitive test with short turnaround time. Although maintenance of cell lines and laboratory equipment is necessary, it provides a safe assay system without infectious viruses. With further validation against other conventional analyses, DSP-Pheno may prove to be a useful laboratory tool. The assay may be useful especially for the research on non-B subtype HIV-1 whose co-receptor usage has not been studied much.

HIV-1 tropism determination using a phenotypic Env recombinant viral assay highlights overestimation of CXCR4-usage by genotypic prediction algorithms for CRF01_AE and CRF02_AG [corrected]

BACKGROUND

Human Immunodeficiency virus type-1 (HIV) entry into target cells involves binding of the viral envelope (Env) to CD4 and a coreceptor, mainly CCR5 or CXCR4. The only currently licensed HIV entry inhibitor, maraviroc, targets CCR5, and the presence of CXCX4-using strains must be excluded prior to treatment. Co-receptor usage can be assessed by phenotypic assays or through genotypic prediction. Here we compared the performance of a phenotypic Env-Recombinant Viral Assay (RVA) to the two most widely used genotypic prediction algorithms, Geno2Pheno[coreceptor] and webPSSM.

METHODS

Co-receptor tropism of samples from 73 subtype B and 219 non-B infections was measured phenotypically using a luciferase-tagged, NL4-3-based, RVA targeting Env. In parallel, tropism was inferred genotypically from the corresponding V3-loop sequences using Geno2Pheno[coreceptor] (5-20% FPR) and webPSSM-R5X4. For discordant samples, phenotypic outcome was retested using co-receptor antagonists or the validated Trofile® Enhanced-Sensitivity-Tropism-Assay.

RESULTS

The lower detection limit of the RVA was 2.5% and 5% for X4 and R5 minority variants respectively. A phenotype/genotype result was obtained for 210 samples. Overall, concordance of phenotypic results with Geno2Pheno[coreceptor] was 85.2% and concordance with webPSSM was 79.5%. For subtype B, concordance with Geno2pheno[coreceptor] was 94.4% and concordance with webPSSM was 79.6%. High concordance of genotypic tools with phenotypic outcome was seen for subtype C (90% for both tools). Main discordances involved CRF01_AE and CRF02_AG for both algorithms (CRF01_AE: 35.9% discordances with Geno2Pheno[coreceptor] and 28.2% with webPSSM; CRF02_AG: 20.7% for both algorithms). Genotypic prediction overestimated CXCR4-usage for both CRFs. For webPSSM, 40% discordance was observed for subtype A.

CONCLUSIONS

Phenotypic assays remain the most accurate for most non-B subtypes and new subtype-specific rules should be developed for non-B subtypes, as research studies more and more draw conclusions from genotypically-inferred tropism, and to avoid unnecessarily precluding patients with limited treatment options from receiving maraviroc or other entry inhibitors.

A genotypic test for HIV-1 tropism combining Sanger sequencing with ultradeep sequencing predicts virologic response in treatment-experienced patients

A tropism test is required prior to initiation of CCR5 antagonist therapy in HIV-1 infected individuals, as these agents are not effective in patients harboring CXCR4 (X4) coreceptor-using viral variants. We developed a clinical laboratory-based genotypic tropism test for detection of CCR5-using (R5) or X4 variants that utilizes triplicate population sequencing (TPS) followed by ultradeep sequencing (UDS) for samples classified as R5. Tropism was inferred using the bioinformatic algorithms geno2pheno_[coreceptor] and PSSM_x4r5. Virologic response as a function of tropism readout was retrospectively assessed using blinded samples from treatment-experienced subjects who received maraviroc (N = 327) in the MOTIVATE and A4001029 clinical trials. MOTIVATE patients were classified as R5 and A4001029 patients were classified as non-R5 by the original Trofile test. Virologic response was compared between the R5 and non-R5 groups determined by TPS, UDS alone, the reflex strategy and the Trofile Enhanced Sensitivity (TF-ES) test. UDS had greater sensitivity than TPS to detect minority non-R5 variants. The median log₁₀ viral load change at week 8 was −2.4 for R5 subjects, regardless of the method used for classification; for subjects with non-R5 virus, median changes were −1.2 for TF-ES or the Reflex Test and −1.0 for UDS. The differences between R5 and non-R5 groups were highly significant in all 3 cases (p<0.0001). At week 8, the positive predictive value was 66% for TF-ES and 65% for both the Reflex test and UDS. Negative predictive values were 59% for TF-ES, 58% for the Reflex Test and 61% for UDS. In conclusion, genotypic tropism testing using UDS alone or a reflex strategy separated maraviroc responders and non-responders as well as a sensitive phenotypic test, and both assays showed improved performance compared to TPS alone. Genotypic tropism tests may provide an alternative to phenotypic testing with similar discriminating ability.

Pitfalls of HIV genotypic tropism testing after treatment interruption

OBJECTIVES

The genotypic method is reliable enough for the determination of tropism and largely preferred in Europe. However, careful interpretation is essential when assessing HIV genotypic resistance during treatment interruption (TI) due to the possible disappearance of resistant strains. The results of HIV genotypic tropism testing in such a context remain unknown.

METHODS

First, we studied changes in tropism in patients included in a structured TI assay: the Reverse study. Second, we investigated the unexpected tropism switches from X4 to R5 recorded in our routine database.

RESULTS

Tropism determination was possible in 21 patients of the Reverse study, 9 of whom had an X4 virus (43%) at baseline. Two patients displayed a change of tropism during TI, both switching from X4 to R5. Regarding the database investigation, 7 of the 222 patients with at least two plasma tropism determinations recorded in the database displayed a switch from X4 to R5. TI due to non-compliance at the time of the tropism change was reported for five of these seven patients.

CONCLUSIONS

We have shown that the redistribution of the HIV population caused by TI could potentially result in X4 viruses becoming undetected and inappropriate prescription of a CCR5 receptor antagonist. Therefore, genotypic tropism results should be interpreted with caution in such a context.

Clustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic properties

BACKGROUND

The V3 loop of the glycoprotein gp120 of HIV-1 plays an important role in viral entry into cells by utilizing as coreceptor CCR5 or CXCR4, and is implicated in the phenotypic tropisms of HIV viruses. It has been hypothesized that the interaction between the V3 loop and CCR5 or CXCR4 is mediated by electrostatics. We have performed hierarchical clustering analysis of the spatial distributions of electrostatic potentials and charges of V3 loop structures containing consensus sequences of HIV-1 subtypes.

RESULTS

Although the majority of consensus sequences have a net charge of +3, the spatial distribution of their electrostatic potentials and charges may be a discriminating factor for binding and infectivity. This is demonstrated by the formation of several small subclusters, within major clusters, which indicates common origin but distinct spatial details of electrostatic properties. Some of this information may be present, in a coarse manner, in clustering of sequences, but the spatial details are largely lost. We show the effect of ionic strength on clustering of electrostatic potentials, information that is not present in clustering of charges or sequences. We also make correlations between clustering of electrostatic potentials and net charge, coreceptor selectivity, global prevalence, and geographic distribution. Finally, we interpret coreceptor selectivity based on the N6X7T8|S8X9 sequence glycosylation motif, the specific positive charge location according to the 11/24/25 rule, and the overall charge and electrostatic potential distribution.

CONCLUSIONS

We propose that in addition to the sequence and the net charge of the V3 loop of each subtype, the spatial distributions of electrostatic potentials and charges may also be important factors for receptor recognition and binding and subsequent viral entry into cells. This implies that the overall electrostatic potential is responsible for long-range recognition of the V3 loop with coreceptors CCR5/CXCR4, whereas the charge distribution contributes to the specific short-range interactions responsible for the formation of the bound complex. We also propose a scheme for coreceptor selectivity based on the sequence glycosylation motif, the 11/24/25 rule, and net charge.

Correlation of the virological response to short-term maraviroc monotherapy with standard and deep-sequencing-based genotypic tropism prediction methods

Genotypic tropism testing methods are emerging as the first step before prescription of the CCR5 antagonist maraviroc (MVC) to HIV-infected patients in Europe. Studies validating genotypic tests have included other active drugs that could have potentially convoluted the effects of MVC. The maraviroc clinical test (MCT) is an in vivo drug sensitivity test based on the virological response to a short-term exposure to MVC monotherapy. Thus, our aim was to compare the results of genotypic tropism testing methods with the short-term virological response to MVC monotherapy. A virological response in the MCT was defined as a ≥ 1-log(10) decrease in HIV RNA or undetectability after 8 days of drug exposure. Seventy-three patients undergoing the MCT were included in this study. We used both standard genotypic methods (n = 73) and deep sequencing (n = 27) on MCT samples at baseline. For the standard methods, the most widely used genotypic algorithms for analyzing the V3 loop sequence, geno2pheno and PSSM, were used. For deep sequencing, the geno2pheno algorithm was used with a false-positive rate cutoff of 3.5. The discordance rates between the standard genotypic methods and the virological response were approximately 20% (including mostly patients without a virological response). Interestingly, these discordance rates were similar to that obtained from deep sequencing (18.5%). The discordance rates between the genotypic methods (tropism assays predictive of the use of the CCR5 coreceptor) and the MCT (in vivo MVC sensitivity assay) indicate that the algorithms used by genotypic methods are still not sufficiently optimized.

Genotypic resistance testing in routine clinical care

PURPOSE OF REVIEW

Genotypic resistance testing has become part of routine clinical management of HIV-infected patients. Focussing on observational studies, this review looks at recent advances in this area.

RECENT FINDINGS

Translation of the nucleotide sequence generated by the resistance test into clinically useful information remains a major challenge. A recent key development is the availability of therapy optimization tools to predict regimens that are most likely to achieve virological suppression. Standard genotypic resistance testing only examines protease and part of reverse transcriptase; as drugs are licensed to further targets, it has become necessary to expand the repertoire for testing. Traditionally, genotypic testing has not been attempted at viral loads less than 1000 copies/ml, but recent studies indicate that major mutations are often detected at much lower levels. Similarly, various methods have been developed for the detection of minority variants including allele-specific PCR, single-genome sequencing, and ultra-deep sequencing.

SUMMARY

The technology and interpretation of genotypic resistance tests is in a phase of rapid development. It remains uncertain which of these developments will become part of routine clinical practice.

Genotypic prediction of human immunodeficiency virus type 1 tropism by use of plasma and peripheral blood mononuclear cells in the routine clinical laboratory

We developed a sequencing assay for genotypic HIV-1 tropism determination. The assay allows examination of HIV RNA from plasma and HIV DNA from peripheral blood mononuclear cells (PBMC), including PBMC samples from patients with undetectable viral loads. Assessment of 100 pairs of plasma and PBMC samples showed a high concordance of 90%. With the limitations of population-based sequencing, the assay was found to be robust and suitable for the routine clinical laboratory.