1
|
Vicenti I, Lai A, Giannini A, Boccuto A, Dragoni F, Saladini F, Zazzi M. Performance of Geno2Pheno[coreceptor] to infer coreceptor use in human immunodeficiency virus type 1 (HIV-1) subtype A. J Clin Virol 2018; 111:12-18. [PMID: 30594700 DOI: 10.1016/j.jcv.2018.12.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 12/03/2018] [Accepted: 12/19/2018] [Indexed: 11/29/2022]
Abstract
BACKGROUND Assessment of human immunodeficiency virus type 1 (HIV-1) coreceptor usage is required prior to treatment with the CCR5 antagonist maraviroc to exclude the presence of CXCR4-using (X4) strains. Genotype-based interpretation systems are mostly designed on subtype B and have been reported to be less accurate for subtype A/CRF02_AG. OBJECTIVES To evaluate the performance of the widely used Geno2Pheno[coreceptor] (G2P[c]) algorithm for prediction of coreceptor usage with subtype A/CRF02_AG vs. subtype B. STUDY DESIGN Co-receptor tropism of 24 subtype A/CRF02_AG and 24 subtype B viruses was measured phenotypically by a homebrew single-cycle assay and genotypically by using G2P[c]. Samples with discrepant genotype-phenotype results were analyzed by next generation sequencing (NGS) and interpreted by the NGS Geno2Pheno algorithm (G2P[454]). RESULTS At 10% false positive rate (FPR), the G2P[c]/phenotype discordance rate was 12.5% (n = 3) for subtype A/CRF02_AG and 8.3% (n = 2) for subtype B. Minority X4 species escaping detection by bulk sequencing but documented by NGS explained the two subtype B and possibly one subtype A/CRF02_AG discordant case. The other two subtype A/CRF02_AG miscalled by G2P[c] could be explained by X4 overcalling at borderline FPR and/or by algorithm failure. DISCUSSION Our study did not demonstrate relevantly higher G2P[c] inaccuracy with subtype A/CRF02_AG with respect to subtype B. Genotype/phenotype discordances can be due to different reasons, including but not limited to, algorithm inaccuracy. Very large genotype/phenotype correlation panels are required to detect and explain the reason for any consistent difference in genotypic tropism prediction for subtype A/CRF02_AG vs. subtype B.
Collapse
Affiliation(s)
- Ilaria Vicenti
- Department of Medical Biotechnologies, University of Siena, Siena, Italy.
| | - Alessia Lai
- Department of Biomedical and Clinical Sciences L. Sacco, University of Milan, Milan, Italy
| | - Alessia Giannini
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Adele Boccuto
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Filippo Dragoni
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Francesco Saladini
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Maurizio Zazzi
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| |
Collapse
|
2
|
Kalu AW, Telele NF, Gebreselasie S, Fekade D, Abdurahman S, Marrone G, Sönnerborg A. Prediction of coreceptor usage by five bioinformatics tools in a large Ethiopian HIV-1 subtype C cohort. PLoS One 2017; 12:e0182384. [PMID: 28841646 PMCID: PMC5571954 DOI: 10.1371/journal.pone.0182384] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 07/17/2017] [Indexed: 12/15/2022] Open
Abstract
Background Genotypic tropism testing (GTT) has been developed largely on HIV-1 subtype B. Although a few reports have analysed the utility of GTT in other subtypes, more studies using HIV-1 subtype C (HIV-1C) are needed, considering the huge contribution of HIV-1C to the global epidemic. Methods Plasma was obtained from 420 treatment-naïve HIV-1C infected Ethiopians recruited 2009–2011. The V3 region was sequenced and the coreceptor usage was predicted by five tools: Geno2Pheno clinical–and clonal–models, PhenoSeq-C, C-PSSM and Raymond’s algorithm. The impact of baseline tropism on antiretroviral treatment (ART) outcome was evaluated. Results Of 352 patients with successful baseline V3 sequences, the proportion of predicted R5 virus varied between the methods by 12.5% (78.1%-90.6%). However, only 58.2% of the predictions were concordant and only 1.7% were predicted to be X4-tropic across the five methods. Compared pairwise, the highest concordance was between C-PSSM and Geno2Pheno clonal (86.4%). In bivariate intention to treat (ITT) analysis, R5 infected patients achieved treatment success more frequently than X4 infected at month six as predicted by Geno2Pheno clinical (77.8% vs 58.7%, P = 0.004) and at month 12 by C-PSSM (61.9% vs 46.6%, P = 0.038). However, in the multivariable analysis adjusted for age, gender, baseline CD4 and viral load, only tropism as predicted by C-PSSM showed an impact on month 12 (P = 0.04, OR 2.47, 95% CI 1.06–5.79). Conclusion Each of the bioinformatics models predicted R5 tropism with comparable frequency but there was a large discordance between the methods. Baseline tropism had an impact on outcome of first line ART at month 12 in multivariable ITT analysis but only based on prediction by C-PSSM which thus possibly could be used for predicting outcome of ART in HIV-1C infected Ethiopians.
Collapse
Affiliation(s)
- Amare Worku Kalu
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia
- * E-mail: ,
| | - Nigus Fikrie Telele
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Gebreselasie
- Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Daniel Fekade
- Department of Internal Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | | | - Gaetano Marrone
- Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Anders Sönnerborg
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
3
|
Kitawi RC, Hunja CW, Aman R, Ogutu BR, Muigai AWT, Kokwaro GO, Ochieng W. Partial HIV C2V3 envelope sequence analysis reveals association of coreceptor tropism, envelope glycosylation and viral genotypic variability among Kenyan patients on HAART. Virol J 2017; 14:29. [PMID: 28196510 PMCID: PMC5310022 DOI: 10.1186/s12985-017-0703-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 02/08/2017] [Indexed: 01/18/2023] Open
Abstract
Background HIV-1 is highly variable genetically and at protein level, a property it uses to subvert antiviral immunity and treatment. The aim of this study was to assess if HIV subtype differences were associated with variations in glycosylation patterns and co-receptor tropism among HAART patients experiencing different virologic treatment outcomes. Methods A total of 118 HIV env C2V3 sequence isolates generated previously from 59 Kenyan patients receiving highly active antiretroviral therapy (HAART) were examined for tropism and glycosylation patterns. For analysis of Potential N-linked glycosylation sites (PNGs), amino acid sequences generated by the NCBI’s Translate tool were applied to the HIVAlign and the N-glycosite tool within the Los Alamos Database. Viral tropism was assessed using Geno2Pheno (G2P), WebPSSM and Phenoseq platforms as well as using Raymond’s and Esbjörnsson’s rules. Chi square test was used to determine independent variables association and ANOVA applied on scale variables. Results At respective False Positive Rate (FPR) cut-offs of 5% (p = 0.045), 10% (p = 0.016) and 20% (p = 0.005) for CXCR4 usage within the Geno2Pheno platform, HIV-1 subtype and viral tropism were significantly associated in a chi square test. Raymond’s rule (p = 0.024) and WebPSSM (p = 0.05), but not Phenoseq or Esbjörnsson showed significant associations between subtype and tropism. Relative to other platforms used, Raymond’s and Esbjörnsson’s rules showed higher proportions of X4 variants, while WebPSSM resulted in lower proportions of X4 variants across subtypes. The mean glycosylation density differed significantly between subtypes at positions, N277 (p = 0.034), N296 (p = 0.036), N302 (p = 0.034) and N366 (p = 0.004), with HIV-1D most heavily glycosylated of the subtypes. R5 isolates had fewer PNGs than X4 isolates, but these differences were not significant except at position N262 (p = 0.040). Cell-associated isolates from virologic treatment success subjects were more glycosylated than cell-free isolates from virologic treatment failures both for the NXT (p = 0.016), and for all the patterns (p = 0.011). Conclusion These data reveal significant associations of HIV-1 subtype diversity, viral co-receptor tropism, viral suppression and envelope glycosylation. These associations have important implications for designing therapy and vaccines against HIV. Heavy glycosylation and preference for CXCR4 usage of HIV-1D may explain rapid disease progression in patients infected with these strains.
Collapse
Affiliation(s)
- Rose C Kitawi
- Center for Research in Therapeutic Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.,Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000 -00200, Nairobi, Kenya
| | - Carol W Hunja
- Center for Research in Therapeutic Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.,South Eastern Kenya University, P.O Box 170-90200, Kitui, Kenya
| | - Rashid Aman
- Center for Research in Therapeutic Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.,African Center for Clinical Trials, P.O. Box 2288-00202, Nairobi, Kenya.,Kenya Medical Research Institute, P.O. Box 54840-00200, Nairobi, Kenya
| | - Bernhards R Ogutu
- Center for Research in Therapeutic Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.,Institute of Healthcare Management, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya.,Kenya Medical Research Institute, P.O. Box 54840-00200, Nairobi, Kenya
| | - Anne W T Muigai
- Jomo Kenyatta University of Agriculture and Technology, P.O Box 62000 -00200, Nairobi, Kenya
| | - Gilbert O Kokwaro
- Institute of Healthcare Management, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya
| | - Washingtone Ochieng
- Center for Research in Therapeutic Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya. .,Institute of Healthcare Management, Strathmore University, P.O. Box 59857-00200, Nairobi, Kenya. .,Kenya Medical Research Institute, P.O. Box 54840-00200, Nairobi, Kenya. .,Immunology and Infectious Diseases Dept, Harvard School of Public Health, Boston, MA, USA.
| |
Collapse
|
4
|
Kalu AW, Telele NF, Gebreselasie S, Fekade D, Abdurahman S, Marrone G, Sönnerborg A. Monophylogenetic HIV-1C epidemic in Ethiopia is dominated by CCR5-tropic viruses-an analysis of a prospective country-wide cohort. BMC Infect Dis 2017; 17:37. [PMID: 28061826 PMCID: PMC5219668 DOI: 10.1186/s12879-016-2163-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 12/22/2016] [Indexed: 11/10/2022] Open
Abstract
Background CCR5 coreceptor using HIV-1 subtype C (HIV-1C) has been reported to dominate the Ethiopian epidemic. However, almost all data have been obtained from two large cities in the central and north-west regions and recent data is lacking. Methods Plasma were obtained from 420 treatment-naïve patients recruited 2009–2011 to a large country-wide Ethiopian cohort. The V3 region was sequenced and the co-receptor tropism was predicted by the clinical and clonal models of the geno2pheno tool at different false positive rates (fpr) and for subtype. In an intention to treat analysis the impact of baseline tropism on outcome of antiretroviral therapy was evaluated. Results V3 loop sequencing was successful in 352 (84%) patients. HIV-1C was found in 350 (99.4%) and HIV-1A in two (0.6%) patients. When comparing the geno2pheno fpr10% clonal and clinical models, 24.4% predictions were discordant. X4-virus was predicted in 17.0 and 19.0%, respectively, but the predictions were concordant in only 6%. At fpr5%, concordant X4-virus predictions were obtained in 3.1%. The proportion of X4-tropic virus (clonal fpr10%) increased from 5.6 to 17.3% (p < 0.001) when 387 Ethiopian V3 loop sequences dated from 1984 to 2003 were compared with ours. In an intention to treat analysis, 67.9% reached treatment success at month 6 and only 50% at month 12. Only age and not tropism predicted therapy outcome and no difference was found in CD4+ cell gain between R5-tropic and X4-tropic infected patients. At viral failure, R5 to X4 switch was rare while X4 to R5 switch occurred more frequently (month 6: p = 0.006; month 12: p = 0.078). Conclusion The HIV-1C epidemic is monophylogenetic in all regions of Ethiopia and R5-tropic virus dominates, even in patients with advanced immunodeficiency, although the proportion of X4-tropic virus seems to have increased over the last two decades. Geno2pheno clinical and clonal prediction models show a large discrepancy at fpr10%, but not at fpr5%. Hence further studies are needed to assess the utility of genotypic tropism testing in HIV-1C. In ITT analysis only age and not tropism influenced the outcome.
Collapse
Affiliation(s)
- Amare Worku Kalu
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Alfred Nobels Alle 8, F68, Huddinge, Stockholm, 14186, Sweden. .,Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Nigus Fikrie Telele
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Alfred Nobels Alle 8, F68, Huddinge, Stockholm, 14186, Sweden.,Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Gebreselasie
- Department of Microbiology, Immunology and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Daniel Fekade
- Department of internal Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Samir Abdurahman
- Public Health Agency of Sweden, Solna, Sweden.,Department of Science and Technology, Örebro University, Örebro, Sweden
| | - Gaetano Marrone
- Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Anders Sönnerborg
- Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Alfred Nobels Alle 8, F68, Huddinge, Stockholm, 14186, Sweden.,Unit of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
5
|
Rademeyer C, Korber B, Seaman MS, Giorgi EE, Thebus R, Robles A, Sheward DJ, Wagh K, Garrity J, Carey BR, Gao H, Greene KM, Tang H, Bandawe GP, Marais JC, Diphoko TE, Hraber P, Tumba N, Moore PL, Gray GE, Kublin J, McElrath MJ, Vermeulen M, Middelkoop K, Bekker LG, Hoelscher M, Maboko L, Makhema J, Robb ML, Abdool Karim S, Abdool Karim Q, Kim JH, Hahn BH, Gao F, Swanstrom R, Morris L, Montefiori DC, Williamson C. Features of Recently Transmitted HIV-1 Clade C Viruses that Impact Antibody Recognition: Implications for Active and Passive Immunization. PLoS Pathog 2016; 12:e1005742. [PMID: 27434311 PMCID: PMC4951126 DOI: 10.1371/journal.ppat.1005742] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 06/14/2016] [Indexed: 11/18/2022] Open
Abstract
The development of biomedical interventions to reduce acquisition of HIV-1 infection remains a global priority, however their potential effectiveness is challenged by very high HIV-1 envelope diversity. Two large prophylactic trials in high incidence, clade C epidemic regions in southern Africa are imminent; passive administration of the monoclonal antibody VRC01, and active immunization with a clade C modified RV144-like vaccines. We have created a large representative panel of C clade viruses to enable assessment of antibody responses to vaccines and natural infection in Southern Africa, and we investigated the genotypic and neutralization properties of recently transmitted clade C viruses to determine how viral diversity impacted antibody recognition. We further explore the implications of these findings for the potential effectiveness of these trials. A panel of 200 HIV-1 Envelope pseudoviruses was constructed from clade C viruses collected within the first 100 days following infection. Viruses collected pre-seroconversion were significantly more resistant to serum neutralization compared to post-seroconversion viruses (p = 0.001). Over 13 years of the study as the epidemic matured, HIV-1 diversified (p = 0.0009) and became more neutralization resistant to monoclonal antibodies VRC01, PG9 and 4E10. When tested at therapeutic levels (10ug/ml), VRC01 only neutralized 80% of viruses in the panel, although it did exhibit potent neutralization activity against sensitive viruses (IC50 titres of 0.42 μg/ml). The Gp120 amino acid similarity between the clade C panel and candidate C-clade vaccine protein boosts (Ce1086 and TV1) was 77%, which is 8% more distant than between CRF01_AE viruses and the RV144 CRF01_AE immunogen. Furthermore, two vaccine signature sites, K169 in V2 and I307 in V3, associated with reduced infection risk in RV144, occurred less frequently in clade C panel viruses than in CRF01_AE viruses from Thailand. Increased resistance of pre-seroconversion viruses and evidence of antigenic drift highlights the value of using panels of very recently transmitted viruses and suggests that interventions may need to be modified over time to track the changing epidemic. Furthermore, high divergence such as that observed in the older clade C epidemic in southern Africa may impact vaccine efficacy, although the correlates of infection risk are yet to be defined in the clade C setting. Findings from this study of acute/early clade C viruses will aid vaccine development, and enable identification of new broad and potent antibodies to combat the HIV-1 C-clade epidemic in southern Africa.
Collapse
Affiliation(s)
- Cecilia Rademeyer
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
| | - Bette Korber
- Los Alamos National Laboratory and New Mexico Consortium, Los Alamos, New Mexico, United States of America
| | - Michael S. Seaman
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Elena E. Giorgi
- Los Alamos National Laboratory and New Mexico Consortium, Los Alamos, New Mexico, United States of America
| | - Ruwayhida Thebus
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
| | - Alexander Robles
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Daniel J. Sheward
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
| | - Kshitij Wagh
- Los Alamos National Laboratory and New Mexico Consortium, Los Alamos, New Mexico, United States of America
| | - Jetta Garrity
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Brittany R. Carey
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Hongmei Gao
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Kelli M. Greene
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Haili Tang
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Gama P. Bandawe
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
| | - Jinny C. Marais
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
| | | | - Peter Hraber
- Los Alamos National Laboratory and New Mexico Consortium, Los Alamos, New Mexico, United States of America
| | - Nancy Tumba
- National Institute for Communicable Diseases (NICD), NHLS & University of the Witwatersrand, Johannesburg, South Africa
| | - Penny L. Moore
- National Institute for Communicable Diseases (NICD), NHLS & University of the Witwatersrand, Johannesburg, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Glenda E. Gray
- Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg and South African Medical Research Council, Cape Town, South Africa
| | - James Kublin
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - M. Juliana McElrath
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Marion Vermeulen
- South African National Blood Service, Weltevreden Park, South Africa
| | - Keren Middelkoop
- Desmond Tutu HIV Centre, Department of Medicine and Institute of Infectious Disease and Molecular Medicine, University of Cape Town (UCT), Cape Town, South Africa
| | - Linda-Gail Bekker
- Desmond Tutu HIV Centre, Department of Medicine and Institute of Infectious Disease and Molecular Medicine, University of Cape Town (UCT), Cape Town, South Africa
| | - Michael Hoelscher
- Department for Infectious Diseases & Tropical Medicine, Klinikum University of Munich, LMU and German Center for Infection Research (DZIF) partner site Munich, Munich, Germany
| | | | - Joseph Makhema
- Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana
| | - Merlin L. Robb
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
| | - Salim Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Quarraisha Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Jerome H. Kim
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America
- International Vaccine Institute, Seoul, Republic of Korea
| | - Beatrice H. Hahn
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Feng Gao
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Ronald Swanstrom
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Lynn Morris
- National Institute for Communicable Diseases (NICD), NHLS & University of the Witwatersrand, Johannesburg, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - David C. Montefiori
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America
| | - Carolyn Williamson
- Division of Medical Virology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town and National Health Laboratory Service (NHLS), Cape Town South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- * E-mail:
| |
Collapse
|
6
|
Abstract
OBJECTIVE Evaluate the risk of female breast cancer associated with HIV-CXCR4 (X4) tropism as determined by various genotypic measures. METHODS A breast cancer case-control study, with pairwise comparisons of tropism determination methods, was conducted. From the Women's Interagency HIV Study repository, one stored plasma specimen was selected from 25 HIV-infected cases near the breast cancer diagnosis date and 75 HIV-infected control women matched for age and calendar date. HIV-gp120 V3 sequences were derived by Sanger population sequencing (PS) and 454-pyro deep sequencing (DS). Sequencing-based HIV-X4 tropism was defined using the geno2pheno algorithm, with both high-stringency DS [false-positive rate (3.5) and 2% X4 cutoff], and lower stringency DS (false-positive rate, 5.75 and 15% X4 cutoff). Concordance of tropism results by PS, DS, and previously performed phenotyping was assessed with kappa (κ) statistics. Case-control comparisons used exact P values and conditional logistic regression. RESULTS In 74 women (19 cases, 55 controls) with complete results, prevalence of HIV-X4 by PS was 5% in cases vs 29% in controls (P = 0.06; odds ratio, 0.14; confidence interval: 0.003 to 1.03). Smaller case-control prevalence differences were found with high-stringency DS (21% vs 36%, P = 0.32), lower stringency DS (16% vs 35%, P = 0.18), and phenotyping (11% vs 31%, P = 0.10). HIV-X4 tropism concordance was best between PS and lower stringency DS (93%, κ = 0.83). Other pairwise concordances were 82%-92% (κ = 0.56-0.81). Concordance was similar among cases and controls. CONCLUSIONS HIV-X4 defined by population sequencing (PS) had good agreement with lower stringency DS and was significantly associated with lower odds of breast cancer.
Collapse
|
7
|
Gupta S, Neogi U, Srinivasa H, Shet A. Performance of Genotypic Tools for Prediction of Tropism in HIV-1 Subtype C V3 Loop Sequences. Intervirology 2015; 58:1-5. [DOI: 10.1159/000369017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2014] [Accepted: 10/09/2014] [Indexed: 11/19/2022] Open
Abstract
Currently, there is no consensus on the genotypic tools to be used for tropism analysis in HIV-1 subtype C strains. Thus, the aim of the study was to evaluate the performance of the different V3 loop-based genotypic algorithms available. We compiled a dataset of 645 HIV-1 subtype C V3 loop sequences of known coreceptor phenotypes (531 R5-tropic/non-syncytium-inducing and 114 X4-tropic/R5X4-tropic/syncytium-inducing sequences) from the Los Alamos database (http://www.hiv.lanl.gov/) and previously published literature. Coreceptor usage was predicted based on this dataset using different software-based machine-learning algorithms as well as simple classical rules. All the sophisticated machine-learning methods showed a good concordance of above 85%. Geno2Pheno (false-positive rate cutoff of 5-15%) and CoRSeqV3-C were found to have a high predicting capability in determining both HIV-1 subtype C X4-tropic and R5-tropic strains. The current sophisticated genotypic tropism tools based on V3 loop perform well for tropism prediction in HIV-1 subtype C strains and can be used in clinical settings.
Collapse
|
8
|
Nyamache AK, Muigai AW, Ng'ang'a Z, Khamadi SA. Profile of HIV type 1 coreceptor tropism among Kenyan patients from 2009 to 2010. AIDS Res Hum Retroviruses 2013; 29:1105-9. [PMID: 23617327 DOI: 10.1089/aid.2012.0284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
A switch of HIV coreceptor usage from CCR5 to CXCR4 occurs in AIDS pathogenesis and may play a critical role in the use of entry inhibitors. To determine the potential usefulness of maraviroc and other CCR5 antagonists among drug-naive and experienced patients in Kenya, the env-C2-V3 gene was successfully sequenced in samples from 176 (98 men and 78 female) consenting subjects between January 2009 and December 2012. In silico CPSSM, webPSSM/, and (ds) Kernel tools were used in predicting coreceptor usage. On the basis of the env V3 loop sequences, 84.1% (148) were reported with R-5 tropism, 4.5% (5) were dual tropic, while 13.4% (23) were of X4 tropism. However, similar to previous studies conducted in Kenya on genetic diversity, HIV-1 subtype A1 (73.9%; 130/176) still remains the most dominant subtype. The high levels of R5 tropism among the studied Kenyan infected populations suggested the potential use of CCR5 antagonists as new therapeutic options in Kenya.
Collapse
Affiliation(s)
- Anthony Kebira Nyamache
- Department of Plant and Microbial Sciences, Kenyatta University, Nairobi, Kenya
- Centre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Anne W.T. Muigai
- Department of Botany and Microbiology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Zipporah Ng'ang'a
- Centre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Samoel A. Khamadi
- Centre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
| |
Collapse
|