Performance of Genotypic Algorithms for Predicting HIV-1 Tropism Measured against the Enhanced-Sensitivity Trofile Coreceptor Tropism Assay

The objectives of this study were to assess the performance of genotypic algorithms for predicting CXCR4-using virus, with enhanced sensitivity Trofile HIV coreceptor tropism assay (ES Trofile) as the reference, and to compare the concordance/accuracy of genotypic tests with ES Trofile and with the original Trofile assay. Paired phenotypic and genotypic determinations of HIV-1 coreceptor usage were compared in plasma samples from HIV-1-infected patients. Sequencing of the third hypervariable (V3) loop of the viral gene and phenotypic assays were performed for each sample. Genotypic rules used to predict tropism were Geno2pheno (false-positive rate at 1 to 20%), position-specific scoring matrix X4R5 (PSSM_X4R5) and PSSM_sinsi (where “sinsi” stands for syncytium inducing and non-syncytium inducing), and the 11/25, 11/24/25, and net charge rules. Two hundred forty-four phenotypic and genotypic samples were tested. Coreceptor usage was obtained from ES Trofile for 145 (59%) samples and from Trofile for 99 (41%) samples. The highest concordance (82.6%) was obtained with PSSM_X4R5 when ES Trofile was used as the reference. Geno2pheno at a 20% false-positive rate showed the highest sensitivity (76.7%) for CXCR4-using virus detection with ES Trofile. Samples from naïve subjects and those with CD4 cell counts between 200 and 500 cells/mm³ showed the best predictive performance. Overall, the accuracy of the bioinformatics tools to detect CXCR4-using virus was similar for ES Trofile and Trofile; however, the negative predictive values for genotypic tools with ES Trofile were slightly higher than they were with Trofile. The accuracy of genotypic algorithms for detecting CXCR4-using viruses is high when using ES Trofile as the reference. Results are similar to those obtained with Trofile. The concordance with ES Trofile is better with higher CD4 cell counts and nonexposure to antiretroviral therapy.The determination of HIV-1 tropism is now of clinical interest because the chemokine coreceptors CCR5 and CXCR4 are targets for drugs that block HIV-1 entry. Maraviroc, the first CCR5 antagonist approved for clinical use, specifically inhibits the replication of R5-tropic HIV-1 variants; therefore, viral tropism testing is mandatory before using this drug. Several assays have been developed to determine HIV-1 coreceptor usage (1, 10, 18). Phenotypic assays using either HIV primary isolates or recombinant viruses are considered the gold standard for HIV-1 tropism assessment. Among them, the assay from Trofile (Monogram Biosciences, South San Francisco, CA) is the only clinically proven, commercially available diagnostic test to determine HIV-1 coreceptor usage and therefore the most widely used phenotypic test worldwide. In spite of their accuracy, phenotypic methodologies have the inconvenience of their complexity, expensiveness, and the requirement of special facilities and expertise, which makes them unfeasible to be used as a routine part of clinical diagnosis. An alternative method for tropism determination consists of the genotypic prediction of HIV-1 coreceptor usage through bioinformatics tools based on third hypervariable (V3) loop viral sequences. These genotypic methods have demonstrated good correlation with phenotypic tests, including the Trofile assay, in different studies (5, 8, 14, 16, 19), and preliminary data from prospective clinical studies suggest that they may predict clinical response to maraviroc (12, 21, 24). However, a number of factors are thought to reduce the ability of genotyping to predict HIV-1 tropism, including the presence of minority CXCR4-using variants (9, 16).Because of the low sensitivity of the original Trofile assay to detect minority CXCR4 variants when present, an enhanced version (ES Trofile) has been launched by Monogram Biosciences that has significantly improved the ability to identify low levels of CXCR4-using variants, allowing a 30-fold increase in analytical sensitivity for detecting CXCR4-using variants in env clone mixtures (23). This new test constitutes the current gold standard for tropism determination and has replaced the original version of Trofile, which is currently not available. To date, the performance of genotypic algorithms for the prediction of HIV-1 tropism using ES Trofile as a reference has not yet been explored. The objectives of this study were to evaluate the accuracy of genotypic algorithms for detecting CXCR4-using virus when measured against ES Trofile and to compare the concordance/accuracy of genotypic tests with ES Trofile and with the original Trofile assay.(This work was accepted as a late breaker in the 12th European AIDS Conference. 11 to 14 November 2009, Cologne, Germany [abstract LBPE1.2/10].)     

Development and performance of a new recombinant virus phenotypic entry assay to determine HIV-1 coreceptor usage

BackgroundClinical trials of CCR5 antagonists have relied on the phenotypic determination of HIV-1 coreceptor usage. Few phenotypic assays are available, with few data on their concordance, and none has been designed to determine tropism from cell-associated HIV-1 DNA.ObjectivesTo assess the performance of the new Toulouse Tropism Test (TTT) phenotypic assay to characterize HIV-1 tropism using blood plasma and peripheral blood mononuclear cells (PBMC).Study design434 plasma and 168 PBMC samples were tested with the TTT assay. We determined the correlation between our assay results on plasma samples and those of the commercial Trofile? assay.ResultsThe TTT assay determined the tropism of 97% of samples after successful amplification of the env gene. It performed well on both cell samples and plasma samples with various HIV-1 loads and subtypes. It detected 0.5% of minor CXCR4-using variants in the virus population. The TTT and the Trofile? assays were >90% concordant for predicting HIV-1 tropism.ConclusionWe have validated a new recombinant virus phenotypic assay for determining HIV-1 tropism using both plasma and cell samples from patients who are candidates for treatment with CCR5 antagonists.     

Population-based sequencing of the V3 region of env for predicting the coreceptor usage of human immunodeficiency virus type 1 quasispecies

Genotypic population-based methods could be faster and less expensive than phenotypic recombinant assays for determining human immunodeficiency virus type 1 (HIV-1) coreceptor usage in patient samples, but their clinical use requires good genotype-phenotype correlation and concordance with clonal analyses. We have assessed these requirements by clonal analysis of the V1 to V3 env PCR products of 26 patients infected with subtype B HIV-1. We used the resulting set of molecular clones, all sequenced and characterized using a single-cycle recombinant virus phenotypic entry assay, to reevaluate genotype-phenotype correlations. Combining the previously described 11/25 and net charge rules for the V3 genotype improved the prediction of HIV-1 coreceptor usage. We also evaluated the concordance of population-based and clonal analyses for predicting the coreceptor usage of HIV-1 quasispecies. Our population-based recombinant phenotypic assay and direct sequencing of V3 were similarly sensitive for detecting the presence of minor species in the virus population, and both correlated well with clonal analysis. The improved genotype-phenotype correlation obtained by combining two simple genotypic rules and the good concordance with clonal analyses suggest that direct sequencing of V3 is a valuable alternative to population-based recombinant phenotypic assays.     

HIV coreceptor phenotyping in the clinical setting

The introduction of CCR5 antagonists increases the options available for constructing antiretroviral regimens. However, this option is coupled with the caveat that patients should be tested for HIV coreceptor tropism prior to initiating CCR5 antagonist-based therapy. Failure to screen for CXCR4 usage increases the risk of using an ineffective drug, thus reducing the likelihood of viral suppression and increasing their risk for developing antiretroviral resistance. This review discusses current and future methods of determining HIV tropism, with a focus on their utility in the clinical setting for screening purposes. Some of these methods include recombinant phenotypic tests, such as the Monogram Trofile assay, as well as genotype-based predictors, heteroduplex tracking assays, and flow cytometry based methods. Currently, the best evidence supports the use of phenotypic methods, although other methods of screening for HIV coreceptor usage prior to the administration of CCR5 antagonists may reduce costs and increase turnaround time over phenotypic methods. The presence of low levels of X4 virus is a challenge to all assay methods, resulting in reduced sensitivity in clinical, patient-derived samples when compared to clonally derived samples. Gaining a better understanding of the output of these assays and correlating them with clinical progression and therapy response will provide some indication on how both genotype-based, and phenotypic assays for determining HIV coreceptor usage can be improved. In addition, leveraging new technologies capable of detecting low-level minority species may provide the most significant advances in ensuring that individuals with low levels of dual/mixed tropic virus are not inadvertently prescribed CCR5 antagonists.     

Genetic and phenotypic features of blood and genital viral populations of clinically asymptomatic and antiretroviral-treatment-naive clade a human immunodeficiency virus type 1-infected women

In the present study, we assessed whether human immunodeficiency virus type 1 (HIV-1) genetic compartmentalization was associated with phenotypic CCR5 (R5) or CXCR4 (X4) coreceptor usage differences between the systemic and the genital viral populations. Four clinically asymptomatic and treatment-na?ve clade A HIV-1-infected patients were selected from a cohort of 274 African women, because they were free of all the biological cofactors known to modify the kinetics of viral production in the genital tract. HIV RNA envelope sequences (V1 to V3) derived from plasma and cervicovaginal secretions (CVS) were amplified, subcloned, and sequenced. CCR5 or CXCR4 coreceptor usage was determined by production of recombinant viral particles, followed by single-cycle infection assays of indicator cell lines, using the tropism recombinant test. In these four selected patients, CVS-derived sequences appeared to be genetically distinct from blood-derived sequences (P < or = 0.001). Two patients were found to harbor virus populations with only the R5 phenotype in both compartments, whereas viruses using CXCR4 in addition to CCR5 were detected in two other patients. In particular, one woman harbored genital virus populations with mixed R5 and X4 phenotypes associated with peripheral blood populations with only the R5 phenotype. These results demonstrate genetic compartmentalization of HIV between the plasma and genital secretions of clinically asymptomatic, treatment-na?ve, clade A-infected women. Also, for one patient, we report phenotypic coreceptor usage differences between the systemic (R5) and genital (R5/X4) viral populations. These features may be critical for the development of further mucosal vaccines, therapies, or new preventive strategies to block heterosexual transmission.     

TROCAI (tropism coreceptor assay information): a new phenotypic tropism test and its correlation with Trofile enhanced sensitivity and genotypic approaches

The only clinically validated assay available to determine HIV tropism is Trofile, an assay that possesses some limitations. Our first aim was to develop a new phenotypic tropism test (TROCAI [tropism coreceptor assay information]) and to categorize results generated by this test according to the virological response to a short-term exposure to the CCR5 receptor antagonist maraviroc (maraviroc clinical test). Our second aim was to compare TROCAI results to those obtained by Trofile enhanced sensitivity (ES) and to different genotypic algorithms. TROCAI assayed HIV tropism in 33 HIV-infected patient viral isolates obtained from a modified coculture, followed by multiple infection cycles of indicator cells. TROCAI obtained a reportable result in all patients with viral loads of >500 HIV RNA copies/ml and in 3/6 patients with <500 HIV RNA copies/ml (30/33 patients, 91.9%). Patients who responded to maraviroc had an X4-using virus proportion in indicator cell supernatant of 0 to 0.41%. Hence, we used the threshold of 0.5% to categorize TROCAI results as R5 (<0.5%) or dual/mixed (>0.5%). The concordance between TROCAI and Trofile (ES) was 22/24 (91.6%), and with genotypic approaches it was 22/26 (84.6%). TROCAI results, which were categorized in this study by the maraviroc clinical test, could be used as a test in addition to those currently used to select patients for treatment with CCR5 antagonists.     

Indian primary HIV-2 isolates and relationship between V3 genotype, biological phenotype and coreceptor usage

The chemokine coreceptors play a significant role in HIV entry and pathogenesis. The V3 region of HIV envelope glycoprotein is considered as a principal determinant for viral phenotype and tropism. The present study describes lack of association between the V3 genotype and viral phenotype of 18 Indian HIV-2 isolates. The viruses were isolated, confirmed by PCR and the HIV subtypes were determined by sequencing V3 region of the env gene. The coreceptor usage and syncytium inducing (SI) capacity of isolates was determined. Our study indicated that CCR5 coreceptor usage and NSI phenotype is predominant among Indian HIV-2 isolates obtained from patients in the early stage of infection. Two of the four HIV-2 isolates obtained from the late stage patients were SI and dual tropic. Phylogenetic analysis of these isolates revealed close relatedness to the isolates from western and southern India.     

A Diagnostic HIV-1 Tropism System Based on Sequence Relatedness

Key clinical studies for HIV coreceptor antagonists have used the phenotyping-based Trofile test. Meanwhile various simpler-to-do genotypic tests have become available that are compatible with standard laboratory equipment and Web-based interpretation tools. However, these systems typically analyze only the most prominent virus sequence in a specimen. We present a new diagnostic HIV tropism test not needing DNA sequencing. The system, XTrack, uses physical properties of DNA duplexes after hybridization of single-stranded HIV-1 env V3 loop probes to the clinical specimen. Resulting “heteroduplexes” possess unique properties driven by sequence relatedness to the reference and resulting in a discrete electrophoretic mobility. A detailed optimization process identified diagnostic probe candidates relating best to a large number of HIV-1 sequences with known tropism. From over 500 V3 sequences representing all main HIV-1 subtypes (Los Alamos database), we obtained a small set of probes to determine the tropism in clinical samples. We found a high concordance with the commercial TrofileES test (84.9%) and the Web-based tool Geno2Pheno (83.0%). Moreover, the new system reveals mixed virus populations, and it was successful on specimens with low virus loads or on provirus from leukocytes. A replicative phenotyping system was used for validation. Our data show that the XTrack test is favorably suitable for routine diagnostics. It detects and dissects mixed virus populations and viral minorities; samples with viral loads (VL) of <200 copies/ml are successfully analyzed. We further expect that the principles of the platform can be adapted also to other sequence-divergent pathogens, such as hepatitis B and C viruses.     

HIV-1 coreceptor usage determination in clinical isolates using clonal and population-based genotypic and phenotypic assays

Orally bioavailable CXCR4 and CCR5 coreceptor antagonists are being developed for the treatment of HIV-1 infection. A new tropism-testing platform, which offers various options depending on the needs, was established. Each option has specific characteristics in terms of sensitivity, information, throughput and cost. The platform consists of four assays, all based on a one-step RT-PCR of the main part of the HIV envelope glycoprotein gp120 (called 'NH(2)-V4'). Population-based sequencing of gp120's V3 loop is generally cheap and easy to run, and was chosen as the first test in the platform's cascade. Given its drawbacks such as limited sensitivity, additional tests were developed. A sensitive assay using NH(2)-V4 gp120 clonal sequencing and tropism prediction enabled us to demonstrate the quasispecies diversity present in 13 patient samples. For phenotyping, an eGFP-containing HIV backbone deleted for NH(2)-V4 was constructed and used for clonal and population tropism determination. As expected, clonal NH(2)-V4 gp120 phenotyping demonstrated significant correlation between prediction algorithms and phenotype-based classification. The absence of the N-linked glycosylation motif in V3 was associated with CXCR4 usage. Finally, population NH(2)-V4 gp120 phenotypic tropism determination appeared to be a promising tool for the detection of minority species present in the amplified envelope fragments.     

Analysis of co‐receptor usage of circulating viral and proviral HIV genome quasispecies by ultra‐deep pyrosequencing in patients who are candidates for CCR5 antagonist treatment

UDPS combined with genotypic algorithms for prediction of HIV‐1 co‐receptor usage may provide quantitative data about the tropism of each variant present in the viral quasispecies. The aim of the present study was to assess co‐receptor usage by ultra‐deep pyrosequencing (UDPS), in comparison with the reference phenotypic test (Trofile ), in patients who are candidates for CCR5 antagonist treatment, in both circulating and proviral HIV‐1. Seventeen patients who were tested by Trofile were enrolled. UDPS of the V3 loop region was carried out on both plasma RNA and proviral DNA. Genotypic prediction of co‐receptor usage was established by position‐specific score matrices (PSSM) and confirmed, in discordant cases, with geno2pheno. Genetic heterogeneity of the RNA and DNA quasispecies was assessed as well. A total of 196 729 V3 sequences were considered (mean coverage per site, 6346). Concordance between phenotypic test and UDPS with PSSM was 0.82. Geno2pheno results were in line with those obtained with PSSM. Proviral quasispecies were more heterogeneous than those found in circulating HIV. In most patients eligible for CCR5 antagonist treatment, X4 variants were detected in proviral DNA, ranging from 1.0% to 52.7%. UDPS combined with genotypic algorithms for co‐receptor usage prediction highlighted the presence of minority variants, with a discordant tropism with respect to the predominant population, in both circulating viral and proviral HIV. In most patients treated with Maraviroc the virological response was independent of the presence of X4 in proviral DNA. The clinical impact of minority X4 variants present in patients who are candidates for anti‐CCR5 antagonists remains a crucial point to be addressed.     

Improvement in the determination of HIV‐1 tropism using the V3 gene sequence and a combination of bioinformatic tools

Assessment of HIV tropism using bioinformatic tools based on V3 sequences correlates poorly with results provided by phenotypic tropism assays, particularly for recognizing X4 viruses. This may represent an obstacle for the use of CCR5 antagonists. An algorithm combining several bioinformatic tools might improve the correlation with phenotypic tropism results. A total of 200 V3 sequences from HIV‐1 subtype B, available in several databases with known phenotypic tropism results, were used to evaluate the sensitivity and specificity of seven different bioinformatic tools (PSSM, SVM, C4.5 decision tree generator and C4.5, PART, Charge Rule, and Geno2pheno). The best predictive bioinformatic tools were identified, and a model combining several of these was built. Using the 200 reference sequences, SVM and geno2‐pheno showed the highest sensitivity for detecting X4 viruses (98.8% and 93.7%, respectively); however, their specificity was relatively low (62.5% and 86.6%, respectively). For R5 viruses, PSSM and C4.5 gave the same results and outperformed other bioinformatic tools (95.7% sensitivity, 82% specificity). When results from three out of these four tools were concordant, the sensitivity and specificity, taking as reference the results from phenotypic tropism assays, were over 90% in predicting either R5 or X4 viruses (AUC: 0.9701; 95% CI: 0.9358–0.9889). An algorithm combining four distinct bioinformatic tools (SVM, geno2pheno, PSSM and C4.5), improves the genotypic prediction of HIV tropism, and merits further evaluation, as it might prove useful as a screening strategy in clinical practice. J. Med. Virol. 81:763–767, 2009. © 2009 Wiley‐Liss, Inc.     

Low Frequency of CXCR4-Using Viruses in Patients at the Time of Primary Non-Subtype-B HIV-1 Infection

We used genotypic and phenotypic assays to estimate the frequency of X4/DM viruses in 131 patients infected with non-subtype-B viruses at the time of primary HIV-1 infection (PHI). All patients were enrolled in the French PRIMO Cohort from 1996 to 2007. Most strains belonged to CRF02_AG (51.1%) and subtype A (14.5%). Sixteen viruses (12.2%) were classified as CXCR4 tropic (“X4 strains”) by the combined criteria of amino acids 11 and 25 of the V3 loop (11/25) and net charge rules and/or the SVMgeno2pheno_10% algorithm: 6 strains by the combined genotypic rule, 7 by the SVMgeno2pheno_10% algorithm, and 3, clustering in subtype D, by both algorithms. However, only one strain (0.8%), belonging to subtype A, was defined as a dual-tropic (DM) virus by the phenotypic assay. The 67 CRF02_AG strains included 2 classified as X4 strains by the combined genotypic rule (3%) and 2 others classified as X4 strains by SVMgeno2pheno_10% (3%), but none of these 4 strains was an X4 or DM strain according to the phenotypic assay. These results suggest that the cellular virus reservoir was established with X4 strains in very few non-subtype-B-infected patients at the time of PHI. Genotypic predictions can overestimate the proportion of non-subtype-B X4 viruses at PHI.Human immunodeficiency virus type 1 (HIV-1) can be characterized by the host chemokine coreceptor that it uses to enter CD4-expressing cells. HIV-1 variants usually bind to the CCR5 chemokine coreceptor early in the course of disease. These are “R5” viruses (3, 31, 48). Viruses that use another chemokine coreceptor, CXCR4, are “X4” viruses, and they emerge later in HIV infection. They can account for up to 40 to 50% of all viruses in heavily treated patients with advanced disease (1, 32). The presence of X4 viruses has been associated with accelerated disease progression and a precipitous loss of CD4 T cells (27, 29, 40). A recent Swiss study suggested that the presence of X4 strains and the X4-specific virus load strongly predict clinical disease progression during combined antiretroviral therapy (cART), in addition to the CD4 T-cell count or viral load (44). This potential correlation between virus tropism and disease progression has important clinical implications. The development of coreceptor CCR5 antagonists for treating retroviruses and the lack of a virological response by patients infected with X4 or dual/mixed (X4/DM) viruses have increased the need to determine HIV-1 tropism.Recent studies have found the frequency of X4/DM dual-tropic strains in plasma samples from recently infected patients in the United States and Spain to be from 3.2% to 17.5% (14, 15, 16). Similarly, we found 15.9% (95% confidence interval [CI], 12.3% to 19.5%) strains of X4/DM viruses in 390 HIV-1 subtype B-infected patients diagnosed at the time of primary HIV-1 infection (PHI) in France from 1996 to 2007 (18).One of the major challenges of determining tropism is to select the best method for identifying coreceptor usage. HIV coreceptor usage is most commonly determined with a recombinant phenotype assay in clinical studies (28, 45). Bioinformatic tools based on the virus genotype may also be able to predict coreceptor usage. They are faster, less expensive, and more suitable for studies of a large number of patients than are phenotypic recombinant assays. Each available genotypic test is adequately specific but not very sensitive for detecting X4/DM or X4 variants. An overall concordance of 71.2 to 92% between genotypic and phenotypic assays has been reported (8, 15, 37, 41). However, most of these studies included HIV-1 subtype B strains. Genotypic algorithms may not be suitable for predicting the tropism of non-subtype-B HIV-1 strains (20). Two recent studies demonstrated that genotypic tests performed well for predicting the coreceptor usage of CRF02_AG and subtype C strains (36, 38), but no study has examined the correlation between genotypic and phenotypic tests for predicting the tropism of non-subtype-B HIV-1 at the time of PHI. The French PRIMO Cohort contained a large proportion of patients infected with a non-subtype-B virus (25.5% in 2005 to 2006) (6).We have therefore estimated the frequency of X4/DM viruses in 131 patients infected with non-subtype-B viruses at the time of PHI. All of them were enrolled in the French PRIMO Cohort from 1996 to 2007. We also studied the concordance between genotypic and phenotypic assays for predicting the tropism of non-subtype-B viruses in these patients.     

HIV-1 CRF01_AE coreceptor usage prediction using kernel methods based logistic model trees

The determination of HIV-1 coreceptor usage plays a major role in HIV treatment. Since Maraviroc has been used in a treatment for patients those exclusively harbor R5-tropic strains, the efficient performance of classifying HIV-1 coreceptor usage can help choose the most advantaged HIV treatment. In general, HIV-1 variants are classified as R5-tropic and X4-tropic or dual/mixed tropic based on their coreceptor usages. The classification of the coreceptor usage has been developed by using the various computational methods or genotypic algorithms based on V3 amino acid sequences. Most genotypic tools have been designed based on a data set of the HIV-1 subtype B that seemed to be reliable only for this subtype. However, the performance of these tools decreases in non-B subtypes. In this study, the support vector machine (SVM) method has been used to classify the HIV-1 coreceptor. To develop an efficient SVM classifier, we present a feature selector using the logistic model tree (LMT) method to select the most relevant positions from the V3 amino acid sequences. Our approach achieves as high as 97.8% accuracy, 97.7% specificity, and 97.9% sensitivity measured by ten-fold cross-validation on 273 sequences.     

Analysis of the functional relationship between V3 loop and gp120 context with regard to human immunodeficiency virus coreceptor usage using naturally selected sequences and different viral backbones

The human immunodeficiency virus type 1 (HIV-1) gp120 V3 loop plays a predominant role in chemokine receptor usage; however, other linear and nonlinear gp120 domains are involved in this step of the HIV-1 replication cycle. At present, the functional relationship between V3 and these domains with regard to coreceptor usage is unclear. To gain insights into the nature of this relationship in naturally selected viral variants, we developed a recombinant strategy based on two different gp120 backbones derived from CXCR4 (X4)- and CCR5 (R5)-tropic viral strains, respectively. Using this recombinant model system, we evaluated the phenotype patterns conferred to chimeric viruses by exogenous V3 loops from reference molecular clones and samples from infected subjects. In 13 of 17 recombinants (76%), a comparable phenotype was observed independently of the gp120 backbone, whereas in a minority of the recombinant viruses (4/17, 24%) viral infectivity depended on the gp120 context. No case of differential tropism using identical V3 sequence in the two gp120 contexts was observed. Site-directed mutagenesis experiments were performed to evaluate the phenotypic impact of specific V3 motifs. The data indicate that while the interaction of HIV-1 with chemokine receptors is driven by V3 loop and influenced by its evolutionary potential, the gp120 context plays a role in influencing the replication competence of the variants, suggesting that compensatory mutations occurring at sites other than V3 are necessary in some cases.     

Impact of triplicate testing on HIV genotypic tropism prediction in routine clinical practice

Guidelines state that the CCR5-inhibitor Maraviroc should be prescribed to patients infected with R5-tropic HIV-1 only. Therefore, viral tropism needs to be assessed phenotypically or genotypically. Preliminary clinical trial data suggest that genotypic analysis in triplicate is associated with improved prediction of virological response by increasing the detection of X4-tropic variants. Our objective was to evaluate the impact of triplicate genotypic analysis on prediction of co-receptor usage in routine clinical practice. Samples from therapy-naive and therapy-experienced patients were collected for routine tropism testing at three European clinical centres. Viral RNA was isolated from plasma and proviral DNA from peripheral blood mononuclear cells. Gp120-V3 was amplified in a triplicate nested RT-PCR procedure and sequenced. Co-receptor usage was predicted using the Geno2Pheno([coreceptor]) algorithm and analysed with a false-positive rate (FPR) of 5.75%, 10%, or an FPR of 20% and according to the current European guidelines on the clinical management of HIV-1 tropism testing. A total of 266 sequences were obtained from 101 patient samples. Discordance in tropism prediction for the triplicates was observed in ten samples using an FPR of 10%. Triplicate testing resulted in a 16.7% increase in X4-predicted samples and to reclassification from R5 to X4 tropism for four cases rendering these patients ineligible for Maraviroc treatment. In conclusion, triplicate genotypic tropism testing increases X4 tropism detection in individual cases, which may prove to be pivotal when CCR5-inhibitor therapy is applied.     

Construction and tropism characterisation of recombinant viruses exhibiting HIV-1 env gene from seminal strains

Genetic differences between blood and mucosal-derived HIV-1 strains have been widely reported. As amplification of HIV-1 strains from mucosal samples including semen or saliva by co-culture has low sensitivity, we developed the construction of chimeric viruses expressing wild-type seminal HIV-1 envelope protein. Chimeric viruses were produced by co-transfection of a V1-V3 deleted pNL 43 vector and PCR fragments spanning the deleted region, amplified from HIV-1 RNA positive seminal plasma samples. After an initial testing of co-receptor usage by a tropism recombinant test, replication capacity and amplification of these recombinant viruses were assessed using PBMC. Four chimeric replicative strains, all using CXCR4 as coreceptor, were produced. The interaction between cell-free viral particles and reporter cell lines was assessed by confocal microscopy. These replicative chimeras exhibiting HIV-1 env from seminal strains represent useful tools for the in vitro study of the heterosexual transmission of HIV-1 and testing of microbicide activity.     

Human immunodeficiency virus type 1 drug resistance testing: a comparison of three sequence-based methods

The use of genotypic assays for determining drug resistance in human immunodeficiency virus (HIV) type 1 (HIV-1)-infected patients is increasing. These tests lack standardization and validation. The aim of this study was to evaluate several tests used for the determination of HIV-1 drug resistance. Two genotypic tests, the Visible Genetics TruGene HIV-1 Genotyping Kit and the Applied Biosystems HIV Genotyping System, were compared using 22 clinical samples. Genotyping results were also obtained from an independent reference laboratory. The Visible Genetics and Applied Biosystems genotyping tests identified similar mutations when differences in the drug databases and reference strains were taken into account, and 19 of 21 samples were equivalent. The concordance between the two assays was 99% (249 of 252 mutation sites). Mutations identified by the reference laboratory varied the most among those identified by the three genotypic tests, possibly because of differences in the databases. The concordance of the reference laboratory results with the results of the other two assays was 80% (201 of 252). Samples with 500 to 750 HIV RNA copies/ml could be sequenced by the Visible Genetics and Applied Biosystems assays using 1 ml of input. The Visible Genetics and Applied Biosystems assays both generated an accurate sequence. However, the throughput of the Visible Genetics assay is more limited and may require additional instruments. The two assays differ technically but are similar in overall complexity. Data analysis in the two assays is straightforward, but only the reports provided by Visible Genetics contain information relating mutations to drug resistance. HIV drug resistance genotyping by sequencing is a complex technology which presents a challenge for analysis, interpretation, and reporting.