HIV-1 Coreceptor Usage Research Articles

HIV-1 coreceptor usage prediction without multiple alignments: an application of string kernels.

BackgroundHuman immunodeficiency virus type 1 (HIV-1) infects cells by means of ligand-receptor interactions. This lentivirus uses the CD4 receptor in conjunction with a chemokine coreceptor, either CXCR4 or CCR5, to enter a target cell. HIV-1 is characterized by high sequence variability. Nonetheless, within this extensive variability, certain features must be conserved to define functions and phenotypes. The determination of coreceptor usage of HIV-1, from its protein envelope sequence, falls into a well-studied machine learning problem known as classification. The support vector machine (SVM), with string kernels, has proven to be very efficient for dealing with a wide class of classification problems ranging from text categorization to protein homology detection. In this paper, we investigate how the SVM can predict HIV-1 coreceptor usage when it is equipped with an appropriate string kernel.ResultsThree string kernels were compared. Accuracies of 96.35% (CCR5) 94.80% (CXCR4) and 95.15% (CCR5 and CXCR4) were achieved with the SVM equipped with the distant segments kernel on a test set of 1425 examples with a classifier built on a training set of 1425 examples. Our datasets are built with Los Alamos National Laboratory HIV Databases sequences. A web server is available at .ConclusionWe examined string kernels that have been used successfully for protein homology detection and propose a new one that we call the distant segments kernel. We also show how to extract the most relevant features for HIV-1 coreceptor usage. The SVM with the distant segments kernel is currently the best method described.

Correlation between genotypic predictions based on V3 sequences and phenotypic determination of HIV-1 tropism

Replacing phenotypic assays with simple genotypic predictions of HIV-1 coreceptor usage would make the clinical use of CCR5 antagonists easier. Paired genotypic and phenotypic determination of HIV-1 coreceptor usage was performed to assess several genotypic approaches for detecting CXCR4-using and CCR5-using viruses in a clinical setting. HIV-1 coreceptor usage was prospectively assessed using plasma samples from 103 patients who were candidates for treatment with a CCR5 antagonist. Direct sequencing of the V3 region and a sensitive recombinant virus phenotypic entry assay were performed in parallel for each patient from the same bulk env PCR product. The 103 patients had a median CD4+ T lymphocyte count of 268 x 10(6)cells/l and nadirs of 98 x 10(6)cells/l. Paired genotypic and phenotypic data were obtained for 98 of the 103 patients. For detecting CXCR4-using viruses, the genotypic rule based on amino-acid residues at positions 11/25 and the overall net charge of V3 was 77% sensitive and 96% specific. The Geno2pheno bioinformatic tool was 88% sensitive and 87% specific. The WebPSSM tool prediction with the SI/NSI matrix was 77% sensitive and 94% specific. The global concordance between genotypic and phenotypic data was 91% with the rule combining the amino-acid residues at positions 11/25 and V3 net charge. Genotypic predictions performed well in paired genotypic and phenotypic assessment of HIV-1 coreceptor usage. Multicenter studies analyzing the correlations between the genotypic determination of HIV-1 tropism and clinical response to CCR5 antagonists are needed to validate this approach in clinical practice.

Prediction of R5, X4, and R5X4 HIV-1 Coreceptor Usage with Evolved Neural Networks

The HIV-1 genome is highly heterogeneous. This variation affords the virus a wide range of molecular properties, including the ability to infect cell types, such as macrophages and lymphocytes, expressing different chemokine receptors on the cell surface. In particular, R5 HIV-1 viruses use CCR5 as co-receptor for viral entry, X4 viruses use CXCR4, whereas some viral strains, known as R5X4 or D-tropic, have the ability to utilize both co-receptors. X4 and R5X4 viruses are associated with rapid disease progression to AIDS. R5X4 viruses differ in that they have yet to be characterized by the examination of the genetic sequence of HIV-1 alone. In this study, a series of experiments was performed to evaluate different strategies of feature selection and neural network optimization. We demonstrate the use of artificial neural networks trained via evolutionary computation to predict viral co-receptor usage. The results indicate identification of R5X4 viruses with predictive accuracy of 75.5%.

HIV-1 coreceptor usage and CXCR4-specific viral load predict clinical disease progression during combination antiretroviral therapy

Although combination antiretroviral therapy (cART) dramatically reduces rates of AIDS and death, a minority of patients experience clinical disease progression during treatment. To investigate whether detection of CXCR4(X4)-specific strains or quantification of X4-specific HIV-1 load predict clinical outcome. From the Swiss HIV Cohort Study, 96 participants who initiated cART yet subsequently progressed to AIDS or death were compared with 84 contemporaneous, treated nonprogressors. A sensitive heteroduplex tracking assay was developed to quantify plasma X4 and CCR5 variants and resolve HIV-1 load into coreceptor-specific components. Measurements were analyzed as cofactors of progression in multivariable Cox models adjusted for concurrent CD4 cell count and total viral load, applying inverse probability weights to adjust for sampling bias. Patients with X4 variants at baseline displayed reduced CD4 cell responses compared with those without X4 strains (40 versus 82 cells/microl; P = 0.012). The adjusted multivariable hazard ratio (HR) for clinical progression was 4.8 [95% confidence interval (CI) 2.3-10.0] for those demonstrating X4 strains at baseline. The X4-specific HIV-1 load was a similarly independent predictor, with HR values of 3.7 (95% CI, 1.2-11.3) and 5.9 (95% CI, 2.2-15.0) for baseline loads of 2.2-4.3 and > 4.3 log10 copies/ml, respectively, compared with < 2.2 log10 copies/ml. HIV-1 coreceptor usage and X4-specific viral loads strongly predicted disease progression during cART, independent of and in addition to CD4 cell count or total viral load. Detection and quantification of X4 strains promise to be clinically useful biomarkers to guide patient management and study HIV-1 pathogenesis.

CD4-Dependent Characteristics of Coreceptor Use and HIV Type 1 V3 Sequence in a Large Population of Therapy-Naive Individuals

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.

Demonstration that IgE Influences HIV Coreceptor Usage And Viral Phenotype During Ontogeny Of Human Mast Cells

Demonstration that IgE Influences HIV Coreceptor Usage And Viral Phenotype During Ontogeny Of Human Mast Cells

Evaluation of Eight Different Bioinformatics Tools To Predict Viral Tropism in Different Human Immunodeficiency Virus Type 1 Subtypes

Human immunodeficiency virus type 1 (HIV-1) tropism can be assessed using phenotypic assays, but this is quite laborious, expensive, and time-consuming and can be made only in sophisticated laboratories. More accessible albeit reliable tools for testing of HIV-1 tropism are needed in view of the prompt introduction of CCR5 antagonists in clinical practice. Bioinformatics tools based on V3 sequences might help to predict HIV-1 tropism; however, most of these methods have been designed by taking only genetic information derived from HIV-1 subtype B into consideration. The aim of this study was to evaluate the performances of several genotypic tools to predict HIV-1 tropism in non-B subtypes, as data on this issue are scarce. Plasma samples were tested using a new phenotypic tropism assay (Phenoscript-tropism; Eurofins), and results were compared with estimates of coreceptor usage using eight different genotypic predictor softwares (Support Vector Machine [SVM], C4.5, C4.5 with positions 8 to 12 only, PART, Charge Rule, geno2pheno coreceptor, Position-Specific Scoring Matrix X4R5 [PSSM(X4R5)], and PSSM(sinsi)). A total of 150 samples were tested, with 115 belonging to patients infected with non-B subtypes and 35 drawn from subtype B-infected patients, which were taken as controls. When non-B subtypes were tested, the concordances between the results obtained using the phenotypic assay and distinct genotypic tools were as follows: 78.8% for SVM, 77.5% for C4.5, 82.5% for C4.5 with positions 8 to 12 only, 82.5% for PART, 82.5% for Charge Rule, 82.5% for PSSM(X4R5), 83.8% for PSSM(sinsi), and 71.3% for geno2pheno. When clade B viruses were tested, the best concordances were seen for PSSM(X4R5) (91.4%), PSSM(sinsi) (88.6%), and geno2pheno (88.6%). The sensitivity for detecting X4 variants was lower for non-B than for B viruses, especially in the case of PSSM(sinsi) (38.4% versus 100%, respectively), SVM(wetcat) (46% versus 100%, respectively), and PART (30% versus 90%, respectively). In summary, while inferences of HIV-1 coreceptor usage using genotypic tools seem to be reliable for clade B viruses, their performances are poor for non-B subtypes, in which they particularly fail to detect X4 variants.

Determination of HIV-1 co-receptor usage in German patients – comparison of genotypic methods with the TROFILE® phenotypic assay

Address: 1Medizinisches Labor Dr. Berg, Berlin, Germany, 2University of Cologne, Cologne, Germany, 3PZB Aachen, Aachen, Germany, 4Medizinisches Labor Dr. Thiele, Kaiserslautern, Germany, 5NRZ fur Retroviren, Erlangen, Germany, 6Labor Lademannbogen, Hamburg, Germany, 7MUC-Research, Munich, Germany, 8Labor Dr. Fenner, Hamburg, Germany, 9University of Frankfurt, Frankfurt, Germany and 10MPI for Bioinformatics, Saarbrucken, Germany * Corresponding author

Impact of antiretroviral therapy on viral tropism in HIV-infected patients followed longitudinally for over 5 years

Viral tropism plays a major role in HIV pathogenesis and may influence the activity of entry inhibitors. The impact of antiretroviral therapy use on the dynamics of viral tropism over time is still poorly understood. HIV co-receptor usage was determined longitudinally for over 5 years in 237 plasma specimens collected from 73 distinct HIV-1-infected drug-naive individuals, 42 of whom initiated antiretroviral therapy thereafter and 31 who remained untreated. Viral tropism was estimated genotypically using the phenotype predictor software webPSSM, considering as X4 virus populations those with pure X4 and dual/mixed X4/R5 variants. At baseline, the prevalence of X4 viruses was 3.2% and 14.6% in patients who remained untreated and in those who initiated antiretroviral therapy, respectively (P = 0.112). Mean plasma HIV-RNA was lower in the former compared with the latter (3.8 +/- 0.9 versus 4.5 +/- 0.9 log; P < 0.004), while conversely the mean CD4 count was greater in untreated than in those who had begun therapy (536 +/- 191 versus 278 +/- 192 cells/mm3; P < 0.001). During follow-up, switch in co-receptor use occurred overall in 26% of the study population, with no significant differences between the groups. Emergence of X4 viruses was significantly associated with lower CD4 counts regardless of antiretroviral treatment exposure. The use of antiretroviral therapy does not seem to influence the selection of X4 viruses, which mainly occur in patients with low CD4 counts.

Predicting HIV Coreceptor Usage on the Basis of Genetic and Clinical Covariates

We compared several statistical learning methods for the prediction of HIV coreceptor use from clonal HIV third hypervariable (V3) loop sequences, and evaluated and improved their effectiveness on clinical samples. Support vector machines (SVM), artificial neural networks, position-specific scoring matrices (PSSM) and mixtures of localized rules were estimated and tested using 10x ten-fold cross-validation on a clonal dataset consisting of 1,100 matched clonal genotype-phenotype pairs from 332 patients. Different SVMs were also trained and tested on a clinically derived dataset, representing 920 patient samples from British Columbia, Canada. Methods were evaluated using receiver operating characteristic (ROC) curves. In the clonal analysis, the sensitivity of the 11/25 rule at 92.5% specificity was 59.5%. PSSMs and SVMs increased sensitivity to 71.9% and 76.4%, respectively, at the same specificity (P < < 0.05). In clinical samples, the sensitivity of the 11/25 rule and SVM decreased to 25.9% (specificity 93.9%) and 39.8% (specificity 93.5%), respectively. However, the integration of clinical data resulted in a further 2.4-fold increase in sensitivity over the 11/25 rule (63%). Univariate analyses identified 41 V3 mutations significantly associated with coreceptor usage. For all methods tested, a substantial sensitivity decrease is observed on clinical data, probably owing to the heterogeneity of the viral population in vivo. In response to these complications, we present an SVM-based approach that integrates sequence information with clinical and host data, resulting in improved performance and sensitivity compared with purely sequence-based approaches.

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.

Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use

The predictive value of three genotypic methods to determine HIV-1 co-receptor usage was assessed in 83 plasma specimens taking as reference the results obtained using a recombinant phenotypic assay (Phenoscript). The best concordance was found for webPSSM, followed by geno2pheno and wetcat (85.9, 71.8 and 70.5%, respectively). Less than 5.1% of phenotypic X4 viruses were missed by genotypic tools. The genotypic prediction of HIV-1 co-receptor usage can thus assist therapeutic decisions for using CCR5 antagonists.

Prevalence of X4 tropic HIV‐1 variants in patients with differences in disease stage and exposure to antiretroviral therapy

Viral tropism plays an important role in HIV pathogenesis. However, its correlation with the clinical outcome and following exposure to antiretroviral drugs are still unclear. HIV-1 co-receptor usage was examined in 206 infected individuals: 67 seroconverters, 52 chronically drug-naïve, and 87 antiretroviral-experienced patients. The V3 loop was sequenced from plasma HIV-RNA and co-receptor usage was inferred using a phenotype predictor software (http://genomiac2.ucsd.edu:8080/wetcat/v3.html), which classifies V3 sequences as R5 or X4. The overall prevalence of X4 viruses was 26.2%, with significant differences among groups: 13.4% in seroconverters, 25% in drug-naïve, and 36.8% in antiretroviral- experienced patients (P = 0.001). The presence of X4 variants in the latter group was associated with higher viral load (P = 0.002) but not with lower CD4 counts. There was no association between HIV tropism and gender, transmission route or age. Neither with the CCR5 Delta32 genotype. Moreover, no association was found between HIV-1 tropism and drug resistance mutations nor with failure to regimens based on either protease inhibitors or non-nucleoside reverse transcriptase inhibitors. Finally, no significant association was found between IL-7 plasma levels with HIV-1 tropism. In summary, X4 viruses are particularly frequent among antiretroviral-experienced patients with high viral loads, irrespective of the CD4 count. Thus, CCR5 antagonists should be used with special caution in this subset of patients.

Prevalence of X4 tropic viruses in patients recently infected with HIV-1 and lack of association with transmission of drug resistance

HIV-1 co-receptor usage may play a critical role in AIDS pathogenesis. Information on viral tropism in HIV-1 seroconverters is scarce, as is the relationship with transmission of drug-resistant viruses. All consecutive HIV-1 seroconverters seen between January 1997 and December 2005 in 17 Spanish hospitals were retrospectively analysed. V3 loop amino acid sequences derived from plasma RNA at the time of initial diagnosis were used to predict co-receptor usage. Major drug resistance mutations, plasma HIV RNA, CD4 counts and HIV subtype were considered for subsequent analyses. A total of 296 HIV-1 seroconverters were identified (84% male; median age 30 years; 61% homosexual men). Median estimated time from infection was 7 months (interquartile range, 3-11). Primary drug resistance mutations were seen in 12.5%, being 9.5% for nucleoside reverse transcriptase inhibitors (NRTI), 4.4% for non-NRTI (NNRTI) and 3% for protease inhibitors (PI). Twenty-four (8.1%) carried non-B subtypes. HIV tropism could be characterized in 203 seroconverters (69%). X4 viruses (either pure or dual/mixed R5/X4) were recognized in 35 (17.2%). There was no association between HIV tropism and mean plasma HIV RNA (4.5 versus 4.4 log copies/mL in R5 versus X4, respectively; P = 0.45) or mean CD4 counts (594 versus 554 cells/mm(3), respectively; P = 0.48). The proportion of X4 viruses did not differ in patients infected with wild-type or drug-resistant viruses (17% versus 18%, P = 1). Intravenous drug users tended to show X4 viruses more frequently than individuals infected by sexual relationships (35.7% versus 16.5%, respectively; P = 0.073). After 12 months of follow-up in 78 seroconverters who did not start antiretroviral therapy, more pronounced increases in plasma HIV RNA (+5056 versus -3430) and declines in CD4 cell counts (-126 versus -60) were seen in X4 compared with R5 carriers. A significant proportion of recent HIV-1 seroconverters harbour X4 viruses (17.2%), without any evidence of association between co-receptor usage, transmission of drug-resistant viruses and HIV subtype.

Molecular switch for alternative conformations of the HIV-1 V3 region: Implications for phenotype conversion

HIV-1 coreceptor usage plays a critical role in virus tropism and pathogenesis. A switch from CCR5- to CXCR4-using viruses occurs during the course of HIV-1 infection and correlates with subsequent disease progression. A single mutation at position 322 within the V3 loop of the HIV-1 envelope glycoprotein gp120, from a negatively to a positively charged residue, was found to be sufficient to switch an R5 virus to an X4 virus. In this study, the NMR structure of the V3 region of an R5 strain, HIV-1(JR-FL), in complex with an HIV-1-neutralizing antibody was determined. Positively charged and negatively charged residues at positions 304 and 322, respectively, oppose each other in the beta-hairpin structure, enabling a favorable electrostatic interaction that stabilizes the postulated R5 conformation. Comparison of the R5 conformation with the postulated X4 conformation of the V3 region (positively charged residue at position 322) reveals that electrostatic repulsion between residues 304 and 322 in X4 strains triggers the observed one register shift in the N-terminal strand of the V3 region. We posit that electrostatic interactions at the base of the V3 beta-hairpin can modulate the conformation and thereby influence the phenotype switch. In addition, we suggest that interstrand cation-pi interactions between positively charged and aromatic residues induce the switch to the X4 conformation as a result of the S306R mutation. The existence of three pairs of identical (or very similar) amino acids in the V3 C-terminal strand facilitates the switch between the R5 and X4 conformations.

HIV tropism: diagnostic tools and implications for disease progression and treatment with entry inhibitors

HIV tropism: diagnostic tools and implications for disease progression and treatment with entry inhibitors

R5 to X4 Switch of the Predominant HIV-1 Population in Cellular Reservoirs During Effective Highly Active Antiretroviral Therapy

HIV-1 coreceptor usage plays a critical role for virus tropism and pathogenesis. A switch from CCR5 to CXCR4-using viruses can occur in the natural course of infection and correlates with subsequent disease progression. To investigate whether HIV-1 genetic evolution might lead to changes in virus coreceptor usage during highly active antiretroviral therapy (HAART), a longitudinal genotypic analysis of the virus found in cellular reservoirs was conducted in 32 patients with undetectable viral loads on HAART for 5 years. The genotype of the 3rd variable region of the env gene predicting coreceptor usage was retrospectively determined in the plasma or in peripheral blood mononuclear cells (PBMC) at baseline and then in PBMCs at months 30 and 60 of HAART. There was a switch from R5 to X4 variants in 11 of the 23 patients who harbored a majority virus population of R5 variants at baseline. X4 variants remained predominant in the 9 patients who harbored mainly X4 variants at baseline. The patients harboring predominantly X4 variants during HAART, either from baseline or after an R5 to X4 switch, tended to have lower CD4+ T-cell counts on HAART than did patients harboring continuously a majority population of R5 variants. These results suggest that potent antiretroviral therapy produces the conditions necessary for the gradual emergence of X4 variants in cellular reservoirs.

HIV-1 coreceptor usage, transmission, and disease progression.

HIV-1 coreceptor usage is believed to play a critical role in pathogenesis. To initiate infection, HIV-1 interacts with two cell surface receptors; CD4 is the primary receptor and the beta-chemokine receptors CCR5 and CXCR4 usually serve as secondary receptors. HIV-1 strains transmitted in vivo generally use CCR5. Viruses that use CCR5 (R5 viruses) appear to be associated with relatively stable infection. Years after chronic infection is established, CXCR4 utilizing strains emerge in approximately 50% of infected individuals. Viruses that use the coreceptor CXCR4 (X4 viruses) are associated with rapid CD4+ cell decline and disease progression. However, the mechanism by which X4 viruses are associated with accelerated disease progression has never been properly elucidated. For example, the association between X4 virus and acceleration of HIV-1 disease progression has been ascribed to the expanded spectrum of CXCR4+ precursor cells susceptible to infection by X4 strains. It has also been postulated that the decline of the host immune system associated with clinical AIDS may allow X4 viruses to evolve and replicate freely in late-stage infection. Discriminating between these and other alternatives is central to increasing our understanding of the fundamental pathogenic processes involved in HIV-1 infection. In this article, we critically review those studies published over the last few years that purport to examine the relationship between HIV-1 coreceptor usage, transmission, CD4+ T-cell depletion, and disease progression.

HIV/host interactions: new lessons from the Red Queen's country.

HIV/host interactions: new lessons from the Red Queen's country.

Effects of human T-lymphotropic virus type II on human immunodeficiency virus type 1 phenotypic evolution.

Phenotypic change and broader coreceptor usage by HIV-1 have been associated with disease progression. HIV-1 coreceptor usage by primary isolates obtained from HIV-1-infected and HIV-1/HTLV-II-coinfected individuals was determined. HIV-1 was isolated from 15 of 20 HIV-1-infected and 17 of 24 HIV-1/HTLV-II-coinfected individuals. None of the isolates from either the HIV-1-infected or the coinfected group infected CCR5delta32 PBMCs, suggesting that they all were R5-tropic. Further, both spontaneous and PHA-stimulated production of MIP-1beta and RANTES were similar in HIV-1-infected and coinfected individuals. These data indicate that coinfection with HTLV-II has no effect on HIV-1 coreceptor usage or ex vivo beta-chemokine production.