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Legrand N, Salameh P, Jullien M, Chevallier P, Ferron E, David G, Devilder MC, Willem C, Gendzekhadze K, Parham P, Retière C, Gagne K. Non-Expressed Donor KIR3DL1 Alleles May Represent a Risk Factor for Relapse after T-Replete Haploidentical Hematopoietic Stem Cell Transplantation. Cancers (Basel) 2023; 15:2754. [PMID: 37345091 DOI: 10.3390/cancers15102754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/03/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
KIR3DL1 alleles are expressed at different levels on the natural killer (NK) cell surface. In particular, the non-expressed KIR3DL1*004 allele appears to be common in Caucasian populations. However, the overall distribution of non-expressed KIR3DL1 alleles and their clinical relevance after T-replete haploidentical hematopoietic stem cell transplantation (hHSCT) with post-transplant cyclophosphamide remain poorly documented in European populations. In a cohort of French blood donors (N = 278), we compared the distribution of expressed and non-expressed KIR3DL1 alleles using next-generation sequencing (NGS) technology combined with multi-color flow cytometry. We confirmed the predominance of the non-expressed KIR3DL1*004 allele. Using allele-specific constructs, the phenotype and function of the uncommon KIR3DL1*019 allotype were characterized using the Jurkat T cell line and NKL transfectants. Although poorly expressed on the NK cell surface, KIR3DL1*019 is retained within NK cells, where it induces missing self-recognition of the Bw4 epitope. Transposing our in vitro observations to a cohort of hHSCT patients (N = 186) led us to observe that non-expressed KIR3DL1 HSC grafts increased the incidence of relapse in patients with myeloid diseases. Non-expressed KIR3DL1 alleles could, therefore, influence the outcome of hHSCT.
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Affiliation(s)
- Nolwenn Legrand
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Perla Salameh
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Maxime Jullien
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Patrice Chevallier
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Enora Ferron
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Gaelle David
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Marie-Claire Devilder
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Catherine Willem
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Ketevan Gendzekhadze
- Department of Hematology and HCT, HLA Laboratory, City of Hope, Medical Center, Duarte, CA 91010, USA
| | - Peter Parham
- Department of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christelle Retière
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Katia Gagne
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- LabEx Transplantex, Université de Strasbourg, F-67000 Strasbourg, France
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Naruse TK, Konishi-Takemura M, Yanagida R, Sharma G, Vajpayee M, Terunuma H, Mehra NK, Kaur G, Kimura A. Killer cell immunoglobulin-like receptor three domains long cytoplasmic tail 1 gene *007 may modulate disease progression of human immunodeficiency virus-1 infection in the Japanese population. Int J Immunogenet 2023; 50:48-52. [PMID: 36807537 DOI: 10.1111/iji.12617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/19/2023] [Accepted: 02/06/2023] [Indexed: 02/19/2023]
Abstract
One of the KIR allele, KIR3DL1*007, was associated with the progression to acquired immunodeficiency syndrome and not with the susceptibility to HIV-1 infection in the Japanese and Indian populations, implying that KIR3DL1*007-positive NK cells might eliminate HIV-infected cells less effectively than NK cells bearing the other KIR3DL1 alleles or KIR3DS1 alleles.
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Affiliation(s)
- Taeko K Naruse
- Department of Molecular Pathogenesis, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.,Department of Protozoology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Makiko Konishi-Takemura
- Department of Molecular Pathogenesis, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Risa Yanagida
- Department of Molecular Pathogenesis, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Gaurav Sharma
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi, India
| | - Madhu Vajpayee
- Department of Microbiology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Narinder K Mehra
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi, India
| | - Gurvinder Kaur
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi, India
| | - Akinori Kimura
- Department of Molecular Pathogenesis, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.,Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
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Sungur CM, Wang Q, Ozantürk AN, Gao H, Schmitz AJ, Cella M, Yokoyama WM, Shan L. Human NK cells confer protection against HIV-1 infection in humanized mice. J Clin Invest 2022; 132:e162694. [PMID: 36282589 PMCID: PMC9753998 DOI: 10.1172/jci162694] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/04/2022] [Indexed: 12/24/2022] Open
Abstract
The role of NK cells against HIV-1 infections remains to be elucidated in vivo. While humanized mouse models potentially could be used to directly evaluate human NK cell responses during HIV-1 infection, improved functional development of human NK cells in these hosts is needed. Here, we report the humanized MISTRG-6-15 mouse model, in which NK cells were quick to expand and exhibit degranulation, cytotoxicity, and proinflammatory cytokine production in nonlymphoid organs upon HIV-1 infection but had reduced functionality in lymphoid organs. Although HIV-1 infection induced functional impairment of NK cells, antiretroviral therapy reinvigorated NK cells in response to HIV-1 rebound after analytic treatment interruption. Moreover, a broadly neutralizing antibody, PGT121, enhanced NK cell function in vivo, consistent with antibody-dependent cellular cytotoxicity. Monoclonal antibody depletion of NK cells resulted in higher viral loads in multiple nonlymphoid organs. Overall, our results in humanized MISTRG-6-15 mice demonstrated that NK cells provided direct anti-HIV-1 responses in vivo but were limited in their responses in lymphoid organs.
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Affiliation(s)
| | - Qiankun Wang
- Division of Infectious Diseases, Department of Medicine
| | | | - Hongbo Gao
- Division of Infectious Diseases, Department of Medicine
| | | | | | - Wayne M. Yokoyama
- Division of Rheumatology, Department of Medicine
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Liang Shan
- Division of Infectious Diseases, Department of Medicine
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, Saint Louis, Missouri, USA
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Harrison GF, Leaton LA, Harrison EA, Kichula KM, Viken MK, Shortt J, Gignoux CR, Lie BA, Vukcevic D, Leslie S, Norman PJ. Allele imputation for the killer cell immunoglobulin-like receptor KIR3DL1/S1. PLoS Comput Biol 2022; 18:e1009059. [PMID: 35192601 PMCID: PMC8896733 DOI: 10.1371/journal.pcbi.1009059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 03/04/2022] [Accepted: 01/10/2022] [Indexed: 12/15/2022] Open
Abstract
Highly polymorphic interaction of KIR3DL1 and KIR3DS1 with HLA class I ligands modulates the effector functions of natural killer (NK) cells and some T cells. This genetically determined diversity affects severity of infections, immune-mediated diseases, and some cancers, and impacts the course of immunotherapies, including transplantation. KIR3DL1 is an inhibitory receptor, and KIR3DS1 is an activating receptor encoded by the KIR3DL1/S1 gene that has more than 200 diverse and divergent alleles. Determination of KIR3DL1/S1 genotypes for medical application is hampered by complex sequence and structural variation, requiring targeted approaches to generate and analyze high-resolution allele data. To overcome these obstacles, we developed and optimized a model for imputing KIR3DL1/S1 alleles at high-resolution from whole-genome SNP data. We designed the model to represent a substantial component of human genetic diversity. Our Global imputation model is effective at genotyping KIR3DL1/S1 alleles with an accuracy ranging from 88% in Africans to 97% in East Asians, with mean specificity of 99% and sensitivity of 95% for alleles >1% frequency. We used the established algorithm of the HIBAG program, in a modification named Pulling Out Natural killer cell Genomics (PONG). Because HIBAG was designed to impute HLA alleles also from whole-genome SNP data, PONG allows combinatorial diversity of KIR3DL1/S1 with HLA-A and -B to be analyzed using complementary techniques on a single data source. The use of PONG thus negates the need for targeted sequencing data in very large-scale association studies where such methods might not be tractable.
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Affiliation(s)
- Genelle F. Harrison
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Laura Ann Leaton
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Erica A. Harrison
- Independent Researcher, Broomfield, Colorado, United States of America
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Marte K. Viken
- Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Jonathan Shortt
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Christopher R. Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Benedicte A. Lie
- Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Damjan Vukcevic
- School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Integrative Genomics, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen Leslie
- School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Integrative Genomics, University of Melbourne, Parkville, Victoria, Australia
- School of BioSciences, University of Melbourne, Parkville, Victoria, Australia
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, United States of America
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An assessment of toll-like receptor 7 and 8 gene polymorphisms with susceptibility to HIV-1 infection, AIDS development and response to antiretroviral therapy. Immunol Lett 2020; 227:88-95. [PMID: 32888973 DOI: 10.1016/j.imlet.2020.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 08/03/2020] [Accepted: 08/23/2020] [Indexed: 11/24/2022]
Abstract
Toll-like receptors (TLRs) play an important role in activating the innate immune response, inducing inflammation and initiating the adaptive immune response. In this study, we assess the influence of TLR7 and TLR8 gene polymorphisms on HIV-1 susceptibility, AIDS development, and treatment outcomes. The TLR7 and TLR8 single nucleotide polymorphisms (SNPs) were genotyped through real-time PCR in 222 patients living with HIV-1 and 141 healthy controls. Frequencies of the TLR7-IVS2-151 G/A and TLR7-IVS1 + 1817 G/T genotypes and alleles were not significantly increased in patients with HIV-1 infection compared to healthy controls both in males and females. Whereas, males carrying TLR8 Met allele were twice susceptible to HIV-1 infection compared to subjects with A allele (OR = 2.04, 95 % CI 1.10-3.76; p = 0.021). Interestingly, for TLR8-129 G/C, both males and females carrying G allele and GG genotype, respectively were significantly associated with HIV-1 infection (p < 0.0001). Moreover, the TLR7 IVS1 + 1817 G/T and the TLR8 rs3764880 were associated with protection to progress the AIDS stage in male and female, respectively (p < 0.05). Males carrying TLR7 IVS2-151-A allele showed a significant increased level of HIV-1 viral load pre-treatment, in comparison with individuals carrying the G allele (p-value = 0.036). Additionally, males carrying TLR8 Met allele showed statistically higher HIV viral load at baseline (p-value = 0.04) and after treatment (p-value = 0.013). Regarding CD4 + T cell counts, no significant association was found with TLR7 and TLR8 SNPs before and after antiretroviral treatment. This data demonstrates that TLR8 polymorphisms could affect HIV-1 infection. Moreover, an association between TLR7 IVS2-151-A and TLR8 Met alleles and plasma HIV viral load level was found.
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