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Abisi HK, Otieno LE, Irungu E, Onyambu FG, Chepchirchir A, Anzala O, Wamalwa DC, Nduati RW, McKinnon L, Kimani J, Mulinge MM. Net charge and position 22 of the V3 loop are associated with HIV-1 tropism in recently infected female sex workers in Nairobi, Kenya. Medicine (Baltimore) 2022; 101:e32024. [PMID: 36626483 PMCID: PMC9750520 DOI: 10.1097/md.0000000000032024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Human immunodeficiency virus (HIV) infection affects around 37 million people worldwide, and in Kenya, key populations especially female sex workers (FSW), are thought to play a substantial role in the wider, mostly heterosexual HIV-1 transmission structure. Notably, HIV tropism has been found to correlate with HIV-1 transmission and disease progression in HIV-infected patients. In this study, recently infected FSWs from Nairobi, Kenya, were assessed for HIV tropism and the factors related to it. We used a cross-sectional study design to analyze 76 HIV-1 positive plasma samples obtained from FSWs enrolled in sex worker outreach program clinics in Nairobi between November 2020 and April 2021. The effects of clinical, demographic, and viral genetic characteristics were determined using multivariable logistic regression. HIV-1 subtype A1 accounted for 89.5% of all cases, with a prevalence of CXCR4-tropic viruses of 26.3%. WebPSSMR5X4 and Geno2Pheno [G2P:10-15% false positive rate] showed high concordance of 88%. Subjects infected with CXCR4-tropic viruses had statistically significant lower baseline CD4+T-cell counts than those infected with CCR5-tropic viruses (P = .044). Using multivariable logistic regression and adjusting for potential confounders, we found that net charge, the amino acid at position 22 of the V3 loop, and the geographic location of the subject were associated with tropism. A unit increase in V3 loop's net-charge increased the odds of a virus being CXCR4-tropic by 2.4 times (OR = 2.40, 95%CI = 1.35-5.00, P = .007). Second, amino acid threonine at position 22 of V3 loop increased the odds of a strain being X4 by 55.7 times compared to the alanine which occurred in CCR5-tropic strains (OR = 55.7, 95%CI = 4.04-84.1, P < .003). The Kawangware sex worker outreach program clinic was associated with CXCR4-tropic strains (P = .034), but there was there was no evidence of a distinct CXCR4-tropic transmission cluster. In conclusion, this study revealed a high concordance of WebPSSMR5X4 and Geno2Pheno in predicting HIV tropism. The most striking finding was that amino acid position 22 of the V3 loop is linked to tropism in HIV-1 subtype A1. Additional studies with a large dataset are warranted to confirm our findings.
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Affiliation(s)
- Hellen K Abisi
- Department of Biochemistry, University of Nairobi, Nairobi, Kenya
| | - Leon E Otieno
- Molecular Medicine and Infectious Diseases Laboratory, University of Nairobi, Nairobi, Kenya
| | - Erastus Irungu
- Partners for Health and Development in Africa (PHDA), Nairobi, Kenya
| | - Frank G Onyambu
- School of Health Sciences, Meru University of Science and Technology, Meru, Kenya
| | | | - Omu Anzala
- Kenya AIDS Vaccine Initiative - Institute of Clinical Research, University of Nairobi, Nairobi, Kenya
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
| | - Dalton C Wamalwa
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Ruth W Nduati
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Lyle McKinnon
- Department of Medical Microbiology, University of Nairobi, Nairobi, Kenya
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Manitoba, MB, Canada
| | - Joshua Kimani
- Partners for Health and Development in Africa (PHDA), Nairobi, Kenya
| | - Martin M Mulinge
- Department of Biochemistry, University of Nairobi, Nairobi, Kenya
- Kenya AIDS Vaccine Initiative - Institute of Clinical Research, University of Nairobi, Nairobi, Kenya
- * Correspondence: Martin M Mulinge, University of Nairobi, Chiromo Campus - Nairobi 30197-00100, Kenya (e-mail: )
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Assoumou L, Bocket L, Pallier C, Grude M, Ait-Namane R, Izopet J, Raymond S, Charpentier C, Visseaux B, Wirden M, Trabaud MA, Le Guillou-Guillemette H, Allaoui C, Henquell C, Krivine A, Dos Santos G, Delamare C, Bouvier-Alias M, Montes B, Ferre V, De Monte A, Signori-Schmuck A, Maillard A, Morand-Joubert L, Tumiotto C, Fafi-Kremer S, Amiel C, Barin F, Marque-Juillet S, Courdavault L, Vallet S, Beby-Defaux A, de Rougemont A, Fenaux H, Avettand-Fenoel V, Allardet-Servent A, Plantier JC, Peytavin G, Calvez V, Chaix ML, Descamps D. Stable prevalence of transmitted drug resistance mutations and increased circulation of non-B subtypes in antiretroviral-naive chronically HIV-infected patients in 2015/2016 in France. J Antimicrob Chemother 2020; 74:1417-1424. [PMID: 30753724 DOI: 10.1093/jac/dkz011] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 12/27/2018] [Accepted: 12/31/2018] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES We estimated the prevalence of transmitted-drug-resistance-associated mutations (TDRAMs) in antiretroviral-naive chronically HIV-1-infected patients. PATIENTS AND METHODS TDRAMs were sought in samples from 660 diagnosed HIV-1-infected individuals in 2015/2016 in 33 HIV clinical centres. Weighted analyses, considering the number of patients followed in each centre, were used to derive representative estimates of the percentage of individuals with TDRAMs. Results were compared with those of the 2010/2011 survey (n = 661) using the same methodology. RESULTS At inclusion, median CD4 cell counts and plasma HIV-1 RNA were 394 and 350/mm3 (P = 0.056) and 4.6 and 4.6 log10 copies/mL (P = 0.360) in the 2010/2011 survey and the 2015/2016 survey, respectively. The frequency of non-B subtypes increased from 42.9% in 2010/2011 to 54.8% in 2015/2016 (P < 0.001), including 23.4% and 30.6% of CRF02_AG (P = 0.004). The prevalence of virus with protease or reverse-transcriptase TDRAMs was 9.0% (95% CI = 6.8-11.2) in 2010/2011 and 10.8% (95% CI = 8.4-13.2) in 2015/2016 (P = 0.269). No significant increase was observed in integrase inhibitor TDRAMs (6.7% versus 9.2%, P = 0.146). Multivariable analysis showed that men infected with the B subtype were the group with the highest risk of being infected with a resistant virus compared with others (adjusted OR = 2.2, 95% CI = 1.3-3.9). CONCLUSIONS In France in 2015/2016, the overall prevalence of TDRAMs was 10.8% and stable compared with 9.0% in the 2010/2011 survey. Non-B subtypes dramatically increased after 2010. Men infected with B subtype were the group with the highest risk of being infected with a resistant virus, highlighting the need to re-emphasize safe sex messages.
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Affiliation(s)
- Lambert Assoumou
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | | | | | - Maxime Grude
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | - Rachid Ait-Namane
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | | | | | - Charlotte Charpentier
- Hopital Bichat Claude Bernard, Virology, Paris, France.,Univ Paris-Diderot, INSERM UMR 1137, CNR VIH, Paris, France
| | - Benoit Visseaux
- Hopital Bichat Claude Bernard, Virology, Paris, France.,Univ Paris-Diderot, INSERM UMR 1137, CNR VIH, Paris, France
| | - Marc Wirden
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.,CHU Pitié-Salpêtrière, Virology, Paris, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Laurence Morand-Joubert
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.,Hopital Saint-Antoine, Virology, Paris, France.,Sorbonne Université, Paris, France
| | | | | | | | | | | | | | | | | | | | | | - Véronique Avettand-Fenoel
- CHU Necker-Enfants Malades, Virology, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Paris, France
| | | | | | - Gilles Peytavin
- Univ Paris-Diderot, INSERM UMR 1137, CNR VIH, Paris, France.,Hopital Bichat-Claude Bernard, Laboratoire de Pharmaco-Toxicologie, Paris, France
| | - Vincent Calvez
- INSERM, UMR 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France.,CHU Pitié-Salpêtrière, Virology, Paris, France.,Sorbonne Université, Paris, France
| | | | - Diane Descamps
- Hopital Bichat Claude Bernard, Virology, Paris, France.,Univ Paris-Diderot, INSERM UMR 1137, CNR VIH, Paris, France
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Banin AN, Tuen M, Bimela JS, Tongo M, Zappile P, Khodadadi‐Jamayran A, Nanfack AJ, Okonko IO, Meli J, Wang X, Mbanya D, Ngogang J, Gorny MK, Heguy A, Fokunang C, Duerr R. Near full genome characterization of HIV-1 unique recombinant forms in Cameroon reveals dominant CRF02_AG and F2 recombination patterns. J Int AIDS Soc 2019; 22:e25362. [PMID: 31353798 PMCID: PMC6661401 DOI: 10.1002/jia2.25362] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 07/04/2019] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION In Cameroon, a manifold diversity of HIV strains exists with CRF02_AG and unique recombinant forms (URFs) being the predominant strains. In recent years, a steady increase in URFs and clade F2 viruses has been monitored through partial genome sequencing. There is an information gap in the characterization of emerging URFs along the full genome, which is needed to address the challenges URFs pose towards diagnosis, treatment and HIV-1 vaccine design. METHOD Eighteen Cameroonian URFs from samples collected between the years 2000 and 2015 were studied using a newly developed near full genome sequencing (NFGS) protocol based on variable nested RT-PCRs with a versatile primer set. Near full genomes were characterized for recombination patterns and sequence signatures with possible impact on antiretroviral treatment or Env-directed immune responses. Third-generation sequencing (3GS) of near full or half genomes (HGs) gave insight into intra-patient URF diversity. RESULTS The characterized URFs were composed of a broad variety of subtypes and recombinants including A, F, G, CRF01_AE, CRF02_AG and CRF22_01A1. Phylogenetic analysis unveiled dominant CRF02_AG and F2 recombination patterns. 3GS indicated a high intra-patient URF diversity with up to four distinct viral sub-populations present in plasma at the same time. URF pol genomic analysis revealed a number of accessory drug resistance mutations (DRMs) in the ART-naïve participants. Genotypic env analysis suggests CCR5 usage in 14/18 samples and identified deviations at residues, critical for gp120/gp41 interphase and CD4 binding site broadly neutralizing antibodies in more than half of the studied URFs. V1V2 sites of immune pressure in the human RV144 vaccine study varied in more than a third of URFs. CONCLUSIONS This study identified novel mosaic patterns in URFs in Cameroon. In line with the regional predominance of CRF_02AG and the increased prevalence of clade F2, prominent CRF_02AG and F2 background patterns were observed underlying the URFs. In the context of the novel mosaic genomes, the impact of the identified accessory DRMs and Env epitope variations on treatment and immune control remains elusive. The evolving diversity of HIV-1 URFs in Cameroon requires continuous monitoring to respond to the increasing challenges for diagnosis, antiretroviral treatment and prevention.
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Affiliation(s)
- Andrew N Banin
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
- Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé 1YaoundéCameroon
| | - Michael Tuen
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
| | - Jude S Bimela
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
- Faculty of ScienceDepartment of BiochemistryUniversity of Yaoundé 1YaoundéCameroon
| | - Marcel Tongo
- Center of Research for Emerging and Re‐Emerging Diseases (CREMER)Institute of Medical Research and Study of Medicinal PlantsYaoundéCameroon
| | - Paul Zappile
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
| | - Alireza Khodadadi‐Jamayran
- Applied Bioinformatics Laboratories (ABL) and Genome Technology Center (GTC)Division of Advanced Research Technologies (DART)New York University Langone Medical CenterNew YorkNYUSA
| | - Aubin J Nanfack
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
- Medical Diagnostic CenterYaoundéCameroon
- Chantal Biya International Reference Center for Research on HIV/AIDS Prevention and ManagementYaoundéCameroon
| | - Iheanyi O Okonko
- Virus Research UnitDepartment of MicrobiologyUniversity of Port HarcourtPort HarcourtNigeria
| | | | - Xiaohong Wang
- Manhattan Veterans Affairs Harbor Healthcare SystemsNew YorkNYUSA
| | - Dora Mbanya
- Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé 1YaoundéCameroon
| | - Jeanne Ngogang
- Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé 1YaoundéCameroon
| | - Miroslaw K Gorny
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
| | - Adriana Heguy
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
| | - Charles Fokunang
- Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé 1YaoundéCameroon
| | - Ralf Duerr
- Department of PathologyNew York University School of MedicineNew YorkNYUSA
- Manhattan Veterans Affairs Harbor Healthcare SystemsNew YorkNYUSA
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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.
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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
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Soulie C, Morand-Joubert L, Cottalorda J, Charpentier C, Bellecave P, Le Guen L, Yerly S, Montes B, Fafi-Kremer S, Dina J, Avettand-Fenoel V, Amiel C, Roussel C, Pallier C, Zafilaza K, Sayon S, Signori-Schmuck A, Mirand A, Trabaud MA, Berger S, Calvez V, Marcelin AG. Performance of genotypic algorithms for predicting tropism for HIV-1 CRF01_AE recombinant. J Clin Virol 2018; 99-100:57-60. [PMID: 29331843 DOI: 10.1016/j.jcv.2017.12.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 10/04/2017] [Accepted: 12/28/2017] [Indexed: 11/19/2022]
Abstract
OBJECTIVES There is no consensus about the performances of genotypic rules for predicting HIV-1 non-B subtype tropism. Three genotypic methods were compared for CRF01_AE HIV-1 tropism determination. METHODS The V3 env region of 207 HIV-1 CRF01_AE and 178 B subtypes from 17 centers in France and 1 center in Switzerland was sequenced. Tropism was determined by Geno2Pheno algorithm with false positive rate (FPR) 5% or 10%, the 11/25 rule or the combined criteria of the 11/25, net charge rule and NXT/S mutations. RESULTS Overall, 72.5%, 59.4%, 86.0%, 90.8% of the 207 HIV-1 CRF01_AE were R5-tropic viruses determined by Geno2pheno FPR5%, Geno2pheno FPR10%, the combined criteria and the 11/25 rule, respectively. A concordance of 82.6% was observed between Geno2pheno FPR5% and the combined criteria for CRF01_AE. The results were nearly similar for the comparison between Geno2pheno FPR5% and the 11/25 rule. More mismatches were observed when Geno2pheno was used with the FPR10%. Neither HIV viral load, nor current or nadir CD4 was associated with the discordance rate between the different algorithms. CONCLUSION Geno2pheno predicted more X4-tropic viruses for this set of CRF01_AE sequences than the combined criteria or the 11/25 rule alone. For a conservative approach, Geno2pheno FPR5% seems to be a good compromise to predict CRF01_AE tropism.
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Affiliation(s)
- C Soulie
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France.
| | - L Morand-Joubert
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Saint Antoine, Service de Virologie, Paris, France
| | | | - C Charpentier
- IAME, UMR 1137-Université Paris Diderot, Sorbonne Paris Cité, INSERM, AP-HP, Hôpital Bichat, Laboratoire de Virologie, Paris, France
| | - P Bellecave
- CHU de Bordeaux, Laboratoire de Virologie, Univ. Bordeaux, CNRS UMR 5234, Bordeaux, France
| | - L Le Guen
- Laboratoire de virologie, CHU, Nantes, France
| | - S Yerly
- Laboratory of Virology, Geneva University Hospitals, Switzerland
| | - B Montes
- Laboratoire de Virologie, CHU, Montpellier, France
| | | | - J Dina
- Laboratoire de virologie, CHU, Caen, France
| | - V Avettand-Fenoel
- AP-HP, Laboratoire de Virologie, Hôpital Necker, Paris, France; Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, EA7327, France
| | - C Amiel
- AP-HP, Laboratoire de Virologie, Hôpital Tenon, Paris, France
| | | | | | - K Zafilaza
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France
| | - S Sayon
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France
| | | | | | - M A Trabaud
- Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - S Berger
- Laboratoire de Virologie, CHU de Nancy Brabois, EA 7300, Université de Lorraine, Faculté de Médecine, Vandoeuvre les Nancy, France
| | - V Calvez
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France
| | - A G Marcelin
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, France
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