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Santiago-Lamelas L, Castro-Santos P, Carracedo Á, Olloquequi J, Díaz-Peña R. Unveiling the Significance of HLA and KIR Diversity in Underrepresented Populations. Biomedicines 2024; 12:1333. [PMID: 38927540 PMCID: PMC11202227 DOI: 10.3390/biomedicines12061333] [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: 04/29/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Human leukocyte antigen (HLA) molecules and their relationships with natural killer (NK) cells, specifically through their interaction with killer-cell immunoglobulin-like receptors (KIRs), exhibit robust associations with the outcomes of diverse diseases. Moreover, genetic variations in HLA and KIR immune system genes offer limitless depths of complexity. In recent years, a surge of high-powered genome-wide association studies (GWASs) utilizing single nucleotide polymorphism (SNP) arrays has occurred, significantly advancing our understanding of disease pathogenesis. Additionally, advances in HLA reference panels have enabled higher resolution and more reliable imputation, allowing for finer-grained evaluation of the association between sequence variations and disease risk. However, it is essential to note that the majority of these GWASs have focused primarily on populations of Caucasian and Asian origins, neglecting underrepresented populations in Latin America and Africa. This omission not only leads to disparities in health care access but also restricts our knowledge of novel genetic variants involved in disease pathogenesis within these overlooked populations. Since the KIR and HLA haplotypes prevalent in each population are clearly modelled by the specific environment, the aim of this review is to encourage studies investigating HLA/KIR involvement in infection and autoimmune diseases, reproduction, and transplantation in underrepresented populations.
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Affiliation(s)
- Lucía Santiago-Lamelas
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenomica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; (L.S.-L.); (P.C.-S.); (Á.C.)
| | - Patricia Castro-Santos
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenomica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; (L.S.-L.); (P.C.-S.); (Á.C.)
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Ángel Carracedo
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenomica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; (L.S.-L.); (P.C.-S.); (Á.C.)
- Grupo de Medicina Xenómica, CIMUS, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
- Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Jordi Olloquequi
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
- Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona, 08028 Barcelona, Spain
| | - Roberto Díaz-Peña
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenomica-USC, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; (L.S.-L.); (P.C.-S.); (Á.C.)
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
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2
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Robinson J, Barker DJ, Marsh SGE. 25 years of the IPD-IMGT/HLA Database. HLA 2024; 103:e15549. [PMID: 38936817 DOI: 10.1111/tan.15549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/03/2024] [Accepted: 05/16/2024] [Indexed: 06/29/2024]
Abstract
Twenty-five years ago, in 1998, the HLA Informatics Group of the Anthony Nolan Research Institute released the IMGT/HLA Database. Since this time, this online resource has acted as the repository for the numerous variant sequences of HLA alleles named by the WHO Nomenclature Committee for Factors of the HLA System. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this work. During this time, the technology underlying HLA typing has undergone significant changes. Next generation sequencing (NGS) has superseded previous methodologies of HLA typing and can generate large amounts of high-resolution sequencing data. This has resulted in a drastic increase in the number and complexity of sequences submitted to the database. The challenge for the IPD-IMGT/HLA Database has been to maintain the highest standards of curation, while supporting the core set of tools and functionality to our users with increased numbers of submissions and sequences. Traditional methods of accessing and presenting data have been challenged and new methods utilising new computing technologies have had to be developed to keep pace and support a shifting user demographic.
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Affiliation(s)
- James Robinson
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| | - Dominic J Barker
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| | - Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
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3
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Tao S, Norman PJ, You X, Kichula KM, Dong L, Chen N, He Y, Chen C, Zhang W, Zhu F. High-resolution KIR and HLA genotyping in three Chinese ethnic minorities reveals distinct origins. HLA 2024; 103:e15482. [PMID: 38625090 PMCID: PMC11027949 DOI: 10.1111/tan.15482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 03/05/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024]
Abstract
Polymorphism of killer-cell immunoglobulin-like receptors (KIRs) and their HLA class I ligands impacts the effector activity of cytotoxic NK cell and T cell subsets. Therefore, understanding the extent and implications of KIR and HLA class I genetic polymorphism across various populations is important for immunological and medical research. In this study, we conducted a high-resolution investigation of KIR and HLA class I diversity in three distinct Chinese ethnic minority populations. We studied the She, Yugur, and Tajik, and compared them with the Zhejiang Han population (Zhe), which represents the majority Southern Han ethnicity. Our findings revealed that the Tajik population exhibited the most diverse KIR copy number, allele, and haplotype diversity among the four populations. This diversity aligns with their proposed ancestral origin, closely resembling that of Iranian populations, with a relatively higher presence of KIR-B genes, alleles, and haplotypes compared with the other Chinese populations. The Yugur population displayed KIR distributions similar to those of the Tibetans and Southeast Asians, whereas the She population resembled the Zhe and other East Asians, as confirmed by genetic distance analysis of KIR. Additionally, we identified 12.9% of individuals across the three minority populations as having KIR haplotypes characterized by specific gene block insertions or deletions. Genetic analysis based on HLA alleles yielded consistent results, even though there were extensive variations in HLA alleles. The observed variations in KIR interactions, such as higher numbers of 2DL1-C2 interactions in Tajik and Yugur populations and of 2DL3-C1 interactions in the She population, are likely shaped by demographic and evolutionary mechanisms specific to their local environments. Overall, our findings offer valuable insights into the distribution of KIR and HLA diversity among three distinct Chinese ethnic minority populations, which can inform future clinical and population studies.
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Affiliation(s)
- Sudan Tao
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Xuan You
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, United States
| | - Lina Dong
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Nanying Chen
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Yizhen He
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Chen Chen
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Wei Zhang
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Faming Zhu
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
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4
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Choi EJ, Baek IC, Park S, Kim HJ, Kim TG. Development of cost-effective and fast KIR genotyping by multiplex PCR-SSP. HLA 2024; 103:e15191. [PMID: 37688498 DOI: 10.1111/tan.15191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 07/24/2023] [Accepted: 08/01/2023] [Indexed: 09/11/2023]
Abstract
Killer-cell immunoglobulin-like receptors (KIR) control natural killer (NK) cell functions by recognizing HLA molecules and modulating the activity of NK cells. The KIR gene cluster contains polymorphic and highly homologous genes. Diversity of the KIR region is achieved through differences in gene content, allelic polymorphism, and gene copy number, which result in unrelated individuals having different KIR genotypes and individualized immune responses that are relevant to multiple aspects of human health and disease. Therefore, KIR genotyping is increasingly used in epidemiological studies. Here, we developed multiplex polymerase chain reaction with sequence-specific primers (PCR-SSP) to compensate for the shortcomings of the conventional PCR-SSP method, which is most commonly used for KIR analysis. Multiplex PCR-SSP method involves six multiplex reactions that detect 16 KIR genes and distinguish variant types of some KIR genes by adding two reactions. The assay was evaluated in a blind survey using a panel of 40 reference DNA standards from the UCLA KIR Exchange Program. The results are 100% concordant with the genotype determined using Luminex-based reverse sequence-specific oligonucleotide typing systems. Additionally, we investigated the currently known 16 KIR genes and their common variants in 120 unrelated Korean individuals. The results were consistent with the KIR genotype previously reported by Hwang et al. This multiplex PCR-SSP is an efficient method for analyzing KIR genotypes in both small- and large-scale studies with minimal labor, reagents, and DNA. Furthermore, by providing a better definition of KIR polymorphisms it can contribute to developments in immunogenetics.
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Affiliation(s)
- Eun-Jeong Choi
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - In-Cheol Baek
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Silvia Park
- Department of Internal Medicine, Catholic Blood and Marrow Transplantation Center, Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hee-Je Kim
- Department of Internal Medicine, Catholic Blood and Marrow Transplantation Center, Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tai-Gyu Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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5
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Farias TD, Brugiapaglia S, Croci S, Magistroni P, Curcio C, Zguro K, Fallerini C, Fava F, Pettini F, Kichula KM, Pollock NR, Font-Porterias N, Palmer WH, Marin WM, Baldassarri M, Bruttini M, Hollenbach JA, Hendricks AE, Meloni I, Novelli F, Renieri A, Furini S, Norman PJ, Amoroso A. HLA-DPB1*13:01 associates with enhanced, and KIR2DS4*001 with diminished protection from developing severe COVID-19. HLA 2024; 103:e15251. [PMID: 37850268 PMCID: PMC10873037 DOI: 10.1111/tan.15251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 08/22/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023]
Abstract
Extreme polymorphism of HLA and killer-cell immunoglobulin-like receptors (KIR) differentiates immune responses across individuals. Additional to T cell receptor interactions, subsets of HLA class I act as ligands for inhibitory and activating KIR, allowing natural killer (NK) cells to detect and kill infected cells. We investigated the impact of HLA and KIR polymorphism on the severity of COVID-19. High resolution HLA class I and II and KIR genotypes were determined from 403 non-hospitalized and 1575 hospitalized SARS-CoV-2 infected patients from Italy collected in 2020. We observed that possession of the activating KIR2DS4*001 allotype is associated with severe disease, requiring hospitalization (OR = 1.48, 95% CI 1.20-1.85, pc = 0.017), and this effect is greater in individuals homozygous for KIR2DS4*001 (OR = 3.74, 95% CI 1.75-9.29, pc = 0.003). We also observed the HLA class II allotype, HLA-DPB1*13:01 protects SARS-CoV-2 infected patients from severe disease (OR = 0.49, 95% CI 0.33-0.74, pc = 0.019). These association analyses were replicated using logistic regression with sex and age as covariates. Autoantibodies against IFN-α associated with COVID-19 severity were detected in 26% of 156 hospitalized patients tested. HLA-C*08:02 was more frequent in patients with IFN-α autoantibodies than those without, and KIR3DL1*01502 was only present in patients lacking IFN-α antibodies. These findings suggest that KIR and HLA polymorphism is integral in determining the clinical outcome following SARS-CoV-2 infection, by influencing the course both of innate and adaptive immunity.
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Affiliation(s)
- Ticiana D.J. Farias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Silvia Brugiapaglia
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, 10126, Italy
- Laboratory of Tumor Immunology Center for Experimental Research and Medical Studies, Città della Salute e della Scienza di Torino, Turin, 10126, Italy
| | - Susanna Croci
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Paola Magistroni
- Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, Turin, 10126, Italy
| | - Claudia Curcio
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, 10126, Italy
- Laboratory of Tumor Immunology Center for Experimental Research and Medical Studies, Città della Salute e della Scienza di Torino, Turin, 10126, Italy
| | - Kristina Zguro
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Chiara Fallerini
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Francesca Fava
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, 53100, Italy
| | - Francesco Pettini
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, 53100, Italy
| | - Katherine M. Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Nicholas R. Pollock
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Neus Font-Porterias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - William H. Palmer
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Wesley M. Marin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Margherita Baldassarri
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Mirella Bruttini
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, 53100, Italy
| | - Jill A. Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Audrey E. Hendricks
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Mathematical and Statistical Sciences, and Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Ilaria Meloni
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Francesco Novelli
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, 10126, Italy
- Laboratory of Tumor Immunology Center for Experimental Research and Medical Studies, Città della Salute e della Scienza di Torino, Turin, 10126, Italy
- Molecular Biotechnology Center, University of Turin, Turin, 10126, Italy
| | | | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, 53100, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, 53100, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, 53100, Italy
| | - Simone Furini
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, 53100, Italy
| | - Paul J. Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Antonio Amoroso
- Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, Turin, 10126, Italy
- Department of Medical Sciences, University of Turin, Turin, 10126, Italy
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6
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Montero-Martin G, Kichula KM, Misra MK, Vargas LB, Marin WM, Hollenbach JA, Fernández-Viña MA, Elfishawi S, Norman PJ. Exceptional diversity of KIR and HLA class I in Egypt. HLA 2024; 103:e15177. [PMID: 37528739 PMCID: PMC11068459 DOI: 10.1111/tan.15177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/25/2023] [Accepted: 07/14/2023] [Indexed: 08/03/2023]
Abstract
Genetically determined variation of killer cell immunoglobulin like receptors (KIR) and their HLA class I ligands affects multiple aspects of human health. Their extreme diversity is generated through complex interplay of natural selection for pathogen resistance and reproductive health, combined with demographic structure and dispersal. Despite significant importance to multiple health conditions of differential effect across populations, the nature and extent of immunogenetic diversity is under-studied for many geographic regions. Here, we describe the first high-resolution analysis of KIR and HLA class I combinatorial diversity in Northern Africa. Analysis of 125 healthy unrelated individuals from Cairo in Egypt yielded 186 KIR alleles arranged in 146 distinct centromeric and 79 distinct telomeric haplotypes. The most frequent haplotypes observed were KIR-A, encoding two inhibitory receptors specific for HLA-C, two that are specific for HLA-A and -B, and no activating receptors. Together with 141 alleles of HLA class I, 75 of which encode a KIR ligand, we identified a mean of six distinct interacting pairs of inhibitory KIR and HLA allotypes per individual. We additionally characterize 16 KIR alleles newly identified in the study population. Our findings place Egyptians as one of the most highly diverse populations worldwide, with important implications for transplant matching and studies of immune-mediated diseases.
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Affiliation(s)
| | - Katherine M. Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maneesh K. Misra
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of Chicago Medicine, Chicago, IL, USA
| | - Luciana B. Vargas
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Wesley M. Marin
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jill A. Hollenbach
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Sally Elfishawi
- BMT lab unit, Clinical Pathology Dept., National Cancer Institute, Cairo University, Cairo, Egypt
| | - Paul J. Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA
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7
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Wroblewski EE, Guethlein LA, Anderson AG, Liu W, Li Y, Heisel SE, Connell AJ, Ndjango JBN, Bertolani P, Hart JA, Hart TB, Sanz CM, Morgan DB, Peeters M, Sharp PM, Hahn BH, Parham P. Malaria-driven adaptation of MHC class I in wild bonobo populations. Nat Commun 2023; 14:1033. [PMID: 36823144 PMCID: PMC9950436 DOI: 10.1038/s41467-023-36623-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
The malaria parasite Plasmodium falciparum causes substantial human mortality, primarily in equatorial Africa. Enriched in affected African populations, the B*53 variant of HLA-B, a cell surface protein that presents peptide antigens to cytotoxic lymphocytes, confers protection against severe malaria. Gorilla, chimpanzee, and bonobo are humans' closest living relatives. These African apes have HLA-B orthologs and are infected by parasites in the same subgenus (Laverania) as P. falciparum, but the consequences of these infections are unclear. Laverania parasites infect bonobos (Pan paniscus) at only one (TL2) of many sites sampled across their range. TL2 spans the Lomami River and has genetically divergent subpopulations of bonobos on each side. Papa-B, the bonobo ortholog of HLA-B, includes variants having a B*53-like (B07) peptide-binding supertype profile. Here we show that B07 Papa-B occur at high frequency in TL2 bonobos and that malaria appears to have independently selected for different B07 alleles in the two subpopulations.
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Affiliation(s)
- Emily E Wroblewski
- Department of Anthropology, Washington University in St. Louis, Saint Louis, 63130, MO, USA.
| | - Lisbeth A Guethlein
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Aaron G Anderson
- Department of Anthropology, Washington University in St. Louis, Saint Louis, 63130, MO, USA
| | - Weimin Liu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yingying Li
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sara E Heisel
- Department of Anthropology, Washington University in St. Louis, Saint Louis, 63130, MO, USA
| | - Andrew Jesse Connell
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jean-Bosco N Ndjango
- Department of Ecology and Management of Plant and Animal Resources, Faculty of Sciences, University of Kisangani, BP 2012, Kisangani, Democratic Republic of the Congo
| | - Paco Bertolani
- Institute of Human Sciences, School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK
| | - John A Hart
- Frankfurt Zoological Society, Lomami National Park Project, Kinshasa, Democratic Republic of the Congo
| | - Terese B Hart
- Frankfurt Zoological Society, Lomami National Park Project, Kinshasa, Democratic Republic of the Congo
| | - Crickette M Sanz
- Department of Anthropology, Washington University in St. Louis, Saint Louis, 63130, MO, USA
- Congo Program, Wildlife Conservation Society, Brazzaville, Republic of the Congo
| | - David B Morgan
- Lester E. Fisher Center for the Study and Conservation of Apes, Lincoln Park Zoo, Chicago, IL, 60614, USA
| | - Martine Peeters
- Recherche Translationnelle Appliquée au VIH et aux Maladies Infectieuses, Institut de Recherche pour le Développement, University of Montpellier, INSERM, 34090, Montpellier, France
| | - Paul M Sharp
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, EH9 3FL, UK
- Centre for Immunity, Infection, and Evolution, University of Edinburgh, Edinburgh, EH9 3FL, UK
| | - Beatrice H Hahn
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA
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8
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Gibson WS, Rodriguez OL, Shields K, Silver CA, Dorgham A, Emery M, Deikus G, Sebra R, Eichler EE, Bashir A, Smith ML, Watson CT. Characterization of the immunoglobulin lambda chain locus from diverse populations reveals extensive genetic variation. Genes Immun 2023; 24:21-31. [PMID: 36539592 PMCID: PMC10041605 DOI: 10.1038/s41435-022-00188-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/07/2022] [Accepted: 10/13/2022] [Indexed: 12/24/2022]
Abstract
Immunoglobulins (IGs), crucial components of the adaptive immune system, are encoded by three genomic loci. However, the complexity of the IG loci severely limits the effective use of short read sequencing, limiting our knowledge of population diversity in these loci. We leveraged existing long read whole-genome sequencing (WGS) data, fosmid technology, and IG targeted single-molecule, real-time (SMRT) long-read sequencing (IG-Cap) to create haplotype-resolved assemblies of the IG Lambda (IGL) locus from 6 ethnically diverse individuals. In addition, we generated 10 diploid assemblies of IGL from a diverse cohort of individuals utilizing IG-Cap. From these 16 individuals, we identified significant allelic diversity, including 36 novel IGLV alleles. In addition, we observed highly elevated single nucleotide variation (SNV) in IGLV genes relative to IGL intergenic and genomic background SNV density. By comparing SNV calls between our high quality assemblies and existing short read datasets from the same individuals, we show a high propensity for false-positives in the short read datasets. Finally, for the first time, we nucleotide-resolved common 5-10 Kb duplications in the IGLC region that contain functional IGLJ and IGLC genes. Together these data represent a significant advancement in our understanding of genetic variation and population diversity in the IGL locus.
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Affiliation(s)
- William S Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Oscar L Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Kaitlyn Shields
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Catherine A Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Abdullah Dorgham
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA
| | - Matthew Emery
- Icahn Institute of Genomics Technology and Data Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gintaras Deikus
- Icahn Institute of Genomics Technology and Data Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Sebra
- Icahn Institute of Genomics Technology and Data Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Sema4, Stamford, CT, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Ali Bashir
- Google Accelerated Science Team, Google Inc, Mountain View, CA, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA.
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, USA.
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9
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Gao GF, Liu D, Zhan X, Li B. Analysis of KIR gene variants in The Cancer Genome Atlas and UK Biobank using KIRCLE. BMC Biol 2022; 20:191. [PMID: 36002830 PMCID: PMC9400285 DOI: 10.1186/s12915-022-01392-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 08/15/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Natural killer (NK) cells represent a critical component of the innate immune system's response against cancer and viral infections, among other diseases. To distinguish healthy host cells from infected or tumor cells, killer immunoglobulin receptors (KIR) on NK cells bind and recognize Human Leukocyte Antigen (HLA) complexes on their target cells. However, NK cells exhibit great diversity in their mechanism of activation, and the outcomes of their activation are not yet understood fully. Just like the HLAs they bind, KIR receptors exhibit high allelic diversity in the human population. Here we provide a method to identify KIR allele variants from whole exome sequencing data and uncover novel associations between these variants and various molecular and clinical correlates. RESULTS In order to better understand KIRs, we have developed KIRCLE, a novel method for genotyping individual KIR genes from whole exome sequencing data, and used it to analyze approximately sixty-thousand patient samples in The Cancer Genome Atlas (TCGA) and UK Biobank. We were able to assess population frequencies for different KIR alleles and demonstrate that, similar to HLA alleles, individuals' KIR alleles correlate strongly with their ethnicities. In addition, we observed associations between different KIR alleles and HLA alleles, including HLA-B*53 with KIR3DL2*013 (Fisher's exact FDR = 7.64e-51). Finally, we showcased statistically significant associations between KIR alleles and various clinical correlates, including peptic ulcer disease (Fisher's exact FDR = 0.0429) and age of onset of atopy (Mann-Whitney U FDR = 0.0751). CONCLUSIONS We show that KIRCLE is able to infer KIR variants accurately and consistently, and we demonstrate its utility using data from approximately sixty-thousand individuals from TCGA and UK Biobank to discover novel molecular and clinical correlations with KIR germline variants. Peptic ulcer disease and atopy are just two diseases in which NK cells may play a role beyond their "classical" realm of anti-tumor and anti-viral responses. This tool may be used both as a benchmark for future KIR-variant-inference algorithms, and to better understand the immunogenomics of and disease processes involving KIRs.
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Affiliation(s)
- Galen F Gao
- School of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Dajiang Liu
- Institute for Personalized Medicine, College of Medicine, Pennsylvania State University, Hershey, PA, 17033, USA
| | - Xiaowei Zhan
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Bo Li
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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10
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Pollock NR, Harrison GF, Norman PJ. Immunogenomics of Killer Cell Immunoglobulin-Like Receptor (KIR) and HLA Class I: Coevolution and Consequences for Human Health. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:1763-1775. [PMID: 35561968 PMCID: PMC10038757 DOI: 10.1016/j.jaip.2022.04.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
Interactions of killer cell immunoglobin-like receptors (KIR) with human leukocyte antigens (HLA) class I regulate effector functions of key cytotoxic cells of innate and adaptive immunity. The extreme diversity of this interaction is genetically determined, having evolved in the ever-changing environment of pathogen exposure. Diversity of KIR and HLA genes is further facilitated by their independent segregation on separate chromosomes. That fetal implantation relies on many of the same types of immune cells as infection control places certain constraints on the evolution of KIR interactions with HLA. Consequently, specific inherited combinations of receptors and ligands may predispose to specific immune-mediated diseases, including autoimmunity. Combinatorial diversity of KIR and HLA class I can also differentiate success rates of immunotherapy directed to these diseases. Progress toward both etiopathology and predicting response to therapy is being achieved through detailed characterization of the extent and consequences of the combinatorial diversity of KIR and HLA. Achieving these goals is more tractable with the development of integrated analyses of molecular evolution, function, and pathology that will establish guidelines for understanding and managing risks. Here, we present what is known about the coevolution of KIR with HLA class I and the impact of their complexity on immune function and homeostasis.
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Affiliation(s)
- Nicholas R Pollock
- Division of Biomedical Informatics and Personalized Medicine and Department of Immunology and Microbiology, Anschutz Medical Campus, University of Colorado, Aurora, Colo
| | - Genelle F Harrison
- Division of Biomedical Informatics and Personalized Medicine and Department of Immunology and Microbiology, Anschutz Medical Campus, University of Colorado, Aurora, Colo
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine and Department of Immunology and Microbiology, Anschutz Medical Campus, University of Colorado, Aurora, Colo.
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11
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Chen R, Yi H, Zhen J, Fan M, Xiao L, Yu Q, Yang Z, Ning L, Deng Z, Chen G. Donor with HLA-C2 is associated with acute rejection following liver transplantation in southern Chinese. HLA 2022; 100:133-141. [PMID: 35509131 DOI: 10.1111/tan.14651] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/17/2022] [Accepted: 04/29/2022] [Indexed: 02/06/2023]
Abstract
Apart from presenting peptides to T cells, class I HLA molecules serve as ligands for KIRs and regulate the response of NK cells. The role played by HLA and KIR in the acute rejection (AR) following liver transplantation has been controversial. In this retrospective study, we assessed the influence of class I HLA alleles, HLA matching between donor-recipient pairs, recipient KIR and donor HLA ligands on AR following liver transplantation in southern Chinese. 143 recipients and 78 donors obtained from a single transplant center were included in the study cohort. 33 recipients with histologically confirmed AR were observed. We found that the incidence of AR did not correlate with donor or recipient class I HLA alleles and HLA matching. Neither recipient KIR gene nor the KIR genotype was associated with AR, moreover, high-resolution genotyping of 14 functional KIR genes of recipients showed that no KIR allele was independently associated with AR. However, the frequency of HLA-C2+ donor significantly increased in AR group compared with NAR group (52.9% vs. 24.6%, P = 0.03). In the presence of HLA-C2 by the donor allograft, AR was more frequently observed in recipients with normal expressed KIR2DS4 (43.8% vs. 15.0%, P = 0.03). Donor with HLA-C2 is therefore a major determinant of AR, which can confer risk effect in liver transplantation. Our findings can provide valuable clues for better understanding pathogenesis of AR and have important clinical implications in liver transplantation for Chinese. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Rui Chen
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Huimin Yi
- Liver Transplantation Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jianxin Zhen
- Central Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
| | - Mingming Fan
- Liver Transplantation Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Lulu Xiao
- Tissue Typing Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qiong Yu
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Zhichao Yang
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Li Ning
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Zhihui Deng
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, China
| | - Guihua Chen
- Liver Transplantation Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
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12
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NurWaliyuddin HZA, Norazmi MN, Zafarina Z. Allelic Polymorphisms of Killer Immunoglobulin-Like Receptor Genes in Malay and Orang Asli Populations of Peninsular Malaysia. Hum Immunol 2022; 83:564-573. [PMID: 35483989 DOI: 10.1016/j.humimm.2022.04.005] [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: 10/04/2021] [Revised: 02/25/2022] [Accepted: 04/18/2022] [Indexed: 11/04/2022]
Abstract
Next-generation DNA sequencing (NGS) technology advancements provide new insight into the level of variation in killer immunoglobulin-like receptor (KIR) genes. High resolution allele genotyping of seven KIR genes was conducted among 94 unrelated Malay and Orang Asli (OA) individuals of Peninsular Malaysia. A manual bioinformatics analysis is performed and optimised by Sanger sequencing method. The Malays expressed a total of 22 alleles, as compared to only 15 alleles in the OA population. In total, 12 centromeric and 9 telomeric allelic haplotypes were identified in the Malays, whereas 8 centromeric and 5 telomeric allelic haplotypes were identified in the OA. The KIR2DL1, KIR2DL3, and KIR2DS4 genes exhibited a high degree of variation and balanced distribution in the Malay and OA populations. On the other hand, KIR2DL4, KIR3DL1, KIR3DL2 and KIR3DL3 genes exhibited a high degree of conservation, with less number of alleles identified and the dominance of a single allele at high frequency. High-resolution KIR allele genotyping has revealed unique sequence variations and allelic haplotypes between individuals and populations. The distributions of KIR alleles and haplotypes are useful for genetic population studies and serve as a baseline for future transplantation matching and disease association research.
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Affiliation(s)
- Hanis Z A NurWaliyuddin
- Human Identification/DNA Unit, School of Health Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
| | - Mohd Nor Norazmi
- Human Identification/DNA Unit, School of Health Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia
| | - Zainuddin Zafarina
- Human Identification/DNA Unit, School of Health Sciences, Universiti Sains Malaysia, 16150, Kubang Kerian, Kelantan, Malaysia; Analytical Biochemistry Research Centre (ABrC), Inkubator Inovasi Universiti (I(2)U), SAINS@usm, Universiti Sains Malaysia, 11900, Bayan Lepas, Penang, Malaysia.
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13
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Tshabalala M, Mellet J, Vather K, Nelson D, Mohamed F, Christoffels A, Pepper MS. High Resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1, and ∼DQB1 Diversity in South African Populations. Front Genet 2022; 13:711944. [PMID: 35309124 PMCID: PMC8931603 DOI: 10.3389/fgene.2022.711944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 01/17/2022] [Indexed: 01/10/2023] Open
Abstract
Background: Lack of HLA data in southern African populations hampers disease association studies and our understanding of genetic diversity in these populations. We aimed to determine HLA diversity in South African populations using high resolution HLA ∼A, ∼B, ∼C, ∼DRB1, ∼DQA1 and ∼DQB1 data, from 3005 previously typed individuals. Methods: We determined allele and haplotype frequencies, deviations from Hardy-Weinberg equilibrium (HWE), linkage disequilibrium (LD) and neutrality test. South African HLA class I data was additionally compared to other global populations using non-metrical multidimensional scaling (NMDS), genetic distances and principal component analysis (PCA). Results: All loci strongly (p < 0.0001) deviated from HWE, coupled with excessive heterozygosity in most loci. Two of the three most frequent alleles, HLA ∼DQA1*05:02 (0.2584) and HLA ∼C*17:01 (0.1488) were previously reported in South African populations at lower frequencies. NMDS showed genetic distinctness of South African populations. Phylogenetic analysis and PCA clustered our current dataset with previous South African studies. Additionally, South Africans seem to be related to other sub-Saharan populations using HLA class I allele frequencies. Discussion and Conclusion: Despite the retrospective nature of the study, data missingness, the imbalance of sample sizes for each locus and haplotype pairs, and induced methodological difficulties, this study provides a unique and large HLA dataset of South Africans, which might be a useful resource to support anthropological studies, disease association studies, population based vaccine development and donor recruitment programs. We additionally provide simulated high resolution HLA class I data to augment the mixed resolution typing results generated from this study.
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Affiliation(s)
- Mqondisi Tshabalala
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Juanita Mellet
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Kuben Vather
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Derrick Nelson
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Fathima Mohamed
- South African National Blood Service (SANBS), Roodepoort, South Africa
| | - Alan Christoffels
- SAMRC Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa
| | - Michael S. Pepper
- Department of Immunology, Institute for Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- South African Medical Research Council (SAMRC) Extramural Unit for Stem Cell Research and Therapy, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
- *Correspondence: Michael S. Pepper,
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14
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Vargas LDB, Beltrame MH, Ho B, Marin WM, Dandekar R, Montero-Martín G, Fernández-Viña MA, Hurtado AM, Hill KR, Tsuneto LT, Hutz MH, Salzano FM, Petzl-Erler ML, Hollenbach JA, Augusto DG. Remarkably low KIR and HLA diversity in Amerindians reveals signatures of strong purifying selection shaping the centromeric KIR region. Mol Biol Evol 2021; 39:6388041. [PMID: 34633459 PMCID: PMC8763117 DOI: 10.1093/molbev/msab298] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The killer-cell immunoglobulin-like receptors (KIR) recognize human leukocyte antigen (HLA) molecules to regulate the cytotoxic and inflammatory responses of natural killer cells. KIR genes are encoded by a rapidly evolving gene family on chromosome 19 and present an unusual variation of presence and absence of genes and high allelic diversity. Although many studies have associated KIR polymorphism with susceptibility to several diseases over the last decades, the high-resolution allele-level haplotypes have only recently started to be described in populations. Here, we use a highly innovative custom next-generation sequencing method that provides a state-of-art characterization of KIR and HLA diversity in 706 individuals from eight unique South American populations: five Amerindian populations from Brazil (three Guarani and two Kaingang); one Amerindian population from Paraguay (Aché); and two urban populations from Southern Brazil (European and Japanese descendants from Curitiba). For the first time, we describe complete high-resolution KIR haplotypes in South American populations, exploring copy number, linkage disequilibrium, and KIR-HLA interactions. We show that all Amerindians analyzed to date exhibit the lowest numbers of KIR-HLA interactions among all described worldwide populations, and that 83-97% of their KIR-HLA interactions rely on a few HLA-C molecules. Using multiple approaches, we found signatures of strong purifying selection on the KIR centromeric region, which codes for the strongest NK cell educator receptors, possibly driven by the limited HLA diversity in these populations. Our study expands the current knowledge of KIR genetic diversity in populations to understand KIR-HLA coevolution and its impact on human health and survival.
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Affiliation(s)
- Luciana de Brito Vargas
- Programa de Pós-Graduação em Genética, Departamento de Genética, Universidade Federal do Paraná, Curitiba, PR, 81531-980, Brazil
| | - Marcia H Beltrame
- Programa de Pós-Graduação em Genética, Departamento de Genética, Universidade Federal do Paraná, Curitiba, PR, 81531-980, Brazil
| | - Brenda Ho
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Wesley M Marin
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Ravi Dandekar
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Gonzalo Montero-Martín
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
| | | | - A Magdalena Hurtado
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, 85287, USA
| | - Kim R Hill
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, 85287, USA
| | - Luiza T Tsuneto
- Departamento de Análises Clínicas, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil
| | - Mara H Hutz
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil
| | - Maria Luiza Petzl-Erler
- Programa de Pós-Graduação em Genética, Departamento de Genética, Universidade Federal do Paraná, Curitiba, PR, 81531-980, Brazil
| | - Jill A Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, 94158, USA
| | - Danillo G Augusto
- Programa de Pós-Graduação em Genética, Departamento de Genética, Universidade Federal do Paraná, Curitiba, PR, 81531-980, Brazil.,Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
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15
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Hernández-Doño S, Jakez-Ocampo J, Márquez-García JE, Ruiz D, Acuña-Alonzo V, Lima G, Llorente L, Tovar-Méndez VH, García-Silva R, Granados J, Zúñiga J, Vargas-Alarcón G. Heterogeneity of Genetic Admixture Determines SLE Susceptibility in Mexican. Front Genet 2021; 12:701373. [PMID: 34413879 PMCID: PMC8369992 DOI: 10.3389/fgene.2021.701373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/12/2021] [Indexed: 12/11/2022] Open
Abstract
Systemic Lupus Erythematosus (SLE) is an autoimmune inflammatory disorder for which Major Histocompatibility Complex (MHC) genes are well identified as risk factors. SLE patients present different clinical phenotypes, which are partly explained by admixture patterns variation among Mexicans. Population genetic has insight into the high genetic variability of Mexicans, mainly described through HLA gene studies with anthropological and biomedical importance. A prospective, case-control study was performed. In this study, we recruited 146 SLE patients, and 234 healthy individuals were included as a control group; both groups were admixed Mexicans from Mexico City. The HLA typing methods were based on Next Generation Sequencing and Sequence-Based Typing (SBT). The data analysis was performed with population genetic programs and statistical packages. The admixture estimations based on HLA-B and -DRB1 revealed that SLE patients have a higher Southwestern European ancestry proportion (48 ± 8%) than healthy individuals (30 ± 7%). In contrast, Mexican Native American components are diminished in SLE patients (44 ± 1%) and augmented in Healthy individuals (63 ± 4%). HLA alleles and haplotypes' frequency analysis found variants previously described in SLE patients from Mexico City. Moreover, a conserved extended haplotype that confers risk to develop SLE was found, the HLA-A∗29:02∼C∗16:01∼B∗44:03∼DRB1∗07:01∼DQB1∗02:02, pC = 0.02, OR = 1.41. Consistent with the admixture estimations, the origin of all risk alleles and haplotypes found in this study are European, while the protection alleles are Mexican Native American. The analysis of genetic distances supported that the SLE patient group is closer to the Southwestern European parental populace and farthest from Mexican Native Americans than healthy individuals. Heterogeneity of genetic admixture determines SLE susceptibility and protection in Mexicans. HLA sequencing is helpful to determine susceptibility alleles and haplotypes restricted to some populations.
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Affiliation(s)
- Susana Hernández-Doño
- Immunogenetics Division, Department of Transplant, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Juan Jakez-Ocampo
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - José Eduardo Márquez-García
- Molecular Biology Core Facility, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Daniela Ruiz
- Department of Dermatology, Hospital General Dr. Manuel Gea González, Mexico City, Mexico
| | - Víctor Acuña-Alonzo
- Laboratory of Physiology, Biochemistry, and Genetics, Escuela Nacional de Antropología e Historia, Mexico City, Mexico
| | - Guadalupe Lima
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Luis Llorente
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Víctor Hugo Tovar-Méndez
- Department of Endocrinology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Rafael García-Silva
- Department of Internal Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Julio Granados
- Immunogenetics Division, Department of Transplant, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Joaquín Zúñiga
- Laboratory of Immunobiology and Genetics, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.,Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Mexico City, Mexico
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16
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Guethlein LA, Beyzaie N, Nemat-Gorgani N, Wang T, Ramesh V, Marin WM, Hollenbach JA, Schetelig J, Spellman SR, Marsh SGE, Cooley S, Weisdorf DJ, Norman PJ, Miller JS, Parham P. Following Transplantation for Acute Myelogenous Leukemia, Donor KIR Cen B02 Better Protects against Relapse than KIR Cen B01. THE JOURNAL OF IMMUNOLOGY 2021; 206:3064-3072. [PMID: 34117109 DOI: 10.4049/jimmunol.2100119] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/10/2021] [Indexed: 12/11/2022]
Abstract
In the treatment of acute myelogenous leukemia with allogeneic hematopoietic cell transplantation, we previously demonstrated that there is a greater protection from relapse of leukemia when the hematopoietic cell transplantation donor has either the Cen B/B KIR genotype or a genotype having two or more KIR B gene segments. In those earlier analyses, KIR genotyping could only be assessed at the low resolution of gene presence or absence. To give the analysis greater depth, we developed high-resolution KIR sequence-based typing that defines all the KIR alleles and distinguishes the expressed alleles from those that are not expressed. We now describe and analyze high-resolution KIR genotypes for 890 donors of this human transplant cohort. Cen B01 and Cen B02 are the common CenB haplotypes, with Cen B02 having evolved from Cen B01 by deletion of the KIR2DL5, 2DS3/5, 2DP1, and 2DL1 genes. We observed a consistent trend for Cen B02 to provide stronger protection against relapse than Cen B01 This correlation indicates that protection depends on the donor having inhibitory KIR2DL2 and/or activating KIR2DS2, and is enhanced by the donor lacking inhibitory KIR2DL1, 2DL3, and 3DL1. High-resolution KIR typing has allowed us to compare the strength of the interactions between the recipient's HLA class I and the KIR expressed by the donor-derived NK cells and T cells, but no clinically significant interactions were observed. The trend observed between donor Cen B02 and reduced relapse of leukemia points to the value of studying ever larger transplant cohorts.
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Affiliation(s)
- Lisbeth A Guethlein
- Department of Structural Biology, Stanford University, Stanford, CA.,Department of Microbiology and Immunology, Stanford University, Stanford, CA
| | - Niassan Beyzaie
- Department of Structural Biology, Stanford University, Stanford, CA.,Department of Microbiology and Immunology, Stanford University, Stanford, CA
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University, Stanford, CA.,Department of Microbiology and Immunology, Stanford University, Stanford, CA
| | - Tao Wang
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI
| | | | - Wesley M Marin
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | - Jill A Hollenbach
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA
| | | | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Campus, London, United Kingdom.,University College London Cancer Institute, Royal Free Campus, London, United Kingdom
| | - Sarah Cooley
- Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, MN; and
| | - Daniel J Weisdorf
- Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, MN; and
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, Aurora, CO
| | - Jeffrey S Miller
- Division of Hematology, Oncology, and Transplantation, University of Minnesota, Minneapolis, MN; and
| | - Peter Parham
- Department of Structural Biology, Stanford University, Stanford, CA; .,Department of Microbiology and Immunology, Stanford University, Stanford, CA
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17
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Abstract
In all human cells, human leukocyte antigen (HLA) class I glycoproteins assemble with a peptide and take it to the cell surface for surveillance by lymphocytes. These include natural killer (NK) cells and γδ T cells of innate immunity and αβ T cells of adaptive immunity. In healthy cells, the presented peptides derive from human proteins, to which lymphocytes are tolerant. In pathogen-infected cells, HLA class I expression is perturbed. Reduced HLA class I expression is detected by KIR and CD94:NKG2A receptors of NK cells. Almost any change in peptide presentation can be detected by αβ CD8+ T cells. In responding to extracellular pathogens, HLA class II glycoproteins, expressed by specialized antigen-presenting cells, present peptides to αβ CD4+ T cells. In comparison to the families of major histocompatibility complex (MHC) class I, MHC class II and αβ T cell receptors, the antigenic specificity of the γδ T cell receptors is incompletely understood.
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Affiliation(s)
- Zakia Djaoud
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, USA; ,
| | - Peter Parham
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305, USA; ,
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18
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Deng Z, Zhen J, Harrison GF, Zhang G, Chen R, Sun G, Yu Q, Nemat-Gorgani N, Guethlein LA, He L, Tang M, Gao X, Cai S, Palmer WH, Shortt JA, Gignoux CR, Carrington M, Zou H, Parham P, Hong W, Norman PJ. Adaptive Admixture of HLA Class I Allotypes Enhanced Genetically Determined Strength of Natural Killer Cells in East Asians. Mol Biol Evol 2021; 38:2582-2596. [PMID: 33616658 PMCID: PMC8136484 DOI: 10.1093/molbev/msab053] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Human natural killer (NK) cells are essential for controlling infection, cancer, and fetal development. NK cell functions are modulated by interactions between polymorphic inhibitory killer cell immunoglobulin-like receptors (KIR) and polymorphic HLA-A, -B, and -C ligands expressed on tissue cells. All HLA-C alleles encode a KIR ligand and contribute to reproduction and immunity. In contrast, only some HLA-A and -B alleles encode KIR ligands and they focus on immunity. By high-resolution analysis of KIR and HLA-A, -B, and -C genes, we show that the Chinese Southern Han (CHS) are significantly enriched for interactions between inhibitory KIR and HLA-A and -B. This enrichment has had substantial input through population admixture with neighboring populations, who contributed HLA class I haplotypes expressing the KIR ligands B*46:01 and B*58:01, which subsequently rose to high frequency by natural selection. Consequently, over 80% of Southern Han HLA haplotypes encode more than one KIR ligand. Complementing the high number of KIR ligands, the CHS KIR locus combines a high frequency of genes expressing potent inhibitory KIR, with a low frequency of those expressing activating KIR. The Southern Han centromeric KIR region encodes strong, conserved, inhibitory HLA-C-specific receptors, and the telomeric region provides a high number and diversity of inhibitory HLA-A and -B-specific receptors. In all these characteristics, the CHS represent other East Asians, whose NK cell repertoires are thus enhanced in quantity, diversity, and effector strength, likely augmenting resistance to endemic viral infections.
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Affiliation(s)
- Zhihui Deng
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
- Department of Transfusion Medicine, School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, P. R. China
| | - Jianxin Zhen
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
- Central Laboratory, Shenzhen Baoan Women’s and Children’s Hospital, Shenzhen, Guangdong, P. R. China
| | - Genelle F Harrison
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Guobin Zhang
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Rui Chen
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Ge Sun
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Qiong Yu
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisbeth A Guethlein
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Liumei He
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Mingzhong Tang
- Clinical Laboratory, Wuzhou Red Cross Hospital, Wuzhou, Guangxi, P. R. China
| | - Xiaojiang Gao
- Inflammatory Cell Dynamics Section, Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Siqi Cai
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - William H Palmer
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Jonathan A Shortt
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Christopher R Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research (FNLCR), Frederick, MD21702, and Ragon Institute of MGH, Cambridge, MA, USA
| | - Hongyan Zou
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Wenxu Hong
- Shenzhen Institute of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong, P. R. China
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
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19
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Amorim LM, Augusto DG, Nemat-Gorgani N, Montero-Martin G, Marin WM, Shams H, Dandekar R, Caillier S, Parham P, Fernández-Viña MA, Oksenberg JR, Norman PJ, Hollenbach JA. High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity. Front Immunol 2021; 12:674778. [PMID: 34025673 PMCID: PMC8137979 DOI: 10.3389/fimmu.2021.674778] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/20/2021] [Indexed: 12/14/2022] Open
Abstract
The KIR (killer-cell immunoglobulin-like receptor) region is characterized by structural variation and high sequence similarity among genes, imposing technical difficulties for analysis. We undertook the most comprehensive study to date of KIR genetic diversity in a large population sample, applying next-generation sequencing in 2,130 United States European-descendant individuals. Data were analyzed using our custom bioinformatics pipeline specifically designed to address technical obstacles in determining KIR genotypes. Precise gene copy number determination allowed us to identify a set of uncommon gene-content KIR haplotypes accounting for 5.2% of structural variation. In this cohort, KIR2DL4 is the framework gene that most varies in copy number (6.5% of all individuals). We identified phased high-resolution alleles in large multi-locus insertions and also likely founder haplotypes from which they were deleted. Additionally, we observed 250 alleles at 5-digit resolution, of which 90 have frequencies ≥1%. We found sequence patterns that were consistent with the presence of novel alleles in 398 (18.7%) individuals and contextualized multiple orphan dbSNPs within the KIR complex. We also identified a novel KIR2DL1 variant, Pro151Arg, and demonstrated by molecular dynamics that this substitution is predicted to affect interaction with HLA-C. No previous studies have fully explored the full range of structural and sequence variation of KIR as we present here. We demonstrate that pairing high-throughput sequencing with state-of-art computational tools in a large cohort permits exploration of all aspects of KIR variation including determination of population-level haplotype diversity, improving understanding of the KIR system, and providing an important reference for future studies.
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Affiliation(s)
- Leonardo M. Amorim
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Danillo G. Augusto
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University, Palo Alto, CA, United States
| | - Gonzalo Montero-Martin
- Histocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Palo Alto, CA, United States
| | - Wesley M. Marin
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Hengameh Shams
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Ravi Dandekar
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Stacy Caillier
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Peter Parham
- Department of Structural Biology, Stanford University, Palo Alto, CA, United States
| | | | - Jorge R. Oksenberg
- Department of Neurology, University of California, San Francisco, CA, United States
| | - Paul J. Norman
- Department of Structural Biology, Stanford University, Palo Alto, CA, United States
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, CO, United States
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco, CA, United States
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20
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Paganini J, Pontarotti P. Search for MHC/TCR-Like Systems in Living Organisms. Front Immunol 2021; 12:635521. [PMID: 34017326 PMCID: PMC8129030 DOI: 10.3389/fimmu.2021.635521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 04/07/2021] [Indexed: 12/02/2022] Open
Abstract
Highly polymorphic loci evolved many times over the history of species. These polymorphic loci are involved in three types of functions: kind recognition, self-incompatibility, and the jawed vertebrate adaptive immune system (AIS). In the first part of this perspective, we reanalyzed and described some cases of polymorphic loci reported in the literature. There is a convergent evolution within each functional category and between functional categories, suggesting that the emergence of these self/non-self recognition loci has occurred multiple times throughout the evolutionary history. Most of the highly polymorphic loci are coding for proteins that have a homophilic interaction or heterophilic interaction between linked loci, leading to self or non-self-recognition. The highly polymorphic MHCs, which are involved in the AIS have a different functional mechanism, as they interact through presented self or non-self-peptides with T cell receptors, whose diversity is generated by somatic recombination. Here we propose a mechanism called “the capacity of recognition competition mechanism” that might contribute to the evolution of MHC polymorphism. We propose that the published cases corresponding to these three biological categories represent a small part of what can be found throughout the tree of life, and that similar mechanisms will be found many times, including the one where polymorphic loci interact with somatically generated loci.
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Affiliation(s)
| | - Pierre Pontarotti
- XEGEN, Gemenos, France.,Aix Marseille Université, IRD, APHM, MEPHI, IHU Méditerranée Infection, Marseille, France.,SNC5039 CNRS, Marseille, France
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21
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Tao S, He Y, Kichula KM, Wang J, He J, Norman PJ, Zhu F. High-Resolution Analysis Identifies High Frequency of KIR-A Haplotypes and Inhibitory Interactions of KIR With HLA Class I in Zhejiang Han. Front Immunol 2021; 12:640334. [PMID: 33995358 PMCID: PMC8121542 DOI: 10.3389/fimmu.2021.640334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 04/07/2021] [Indexed: 12/24/2022] Open
Abstract
Killer cell immunoglobulin-like receptors (KIR) interact with human leukocyte antigen (HLA) class I molecules, modulating critical NK cell functions in the maintenance of human health. Characterizing the distribution and characteristics of KIR and HLA allotype diversity across defined human populations is thus essential for understanding the multiple associations with disease, and for directing therapies. In this study of 176 Zhejiang Han individuals from Southeastern China, we describe diversity of the highly polymorphic KIR and HLA class I genes at high resolution. KIR-A haplotypes, which carry four inhibitory receptors specific for HLA-A, B or C, are known to associate with protection from infection and some cancers. We show the Chinese Southern Han from Zhejiang are characterized by a high frequency of KIR-A haplotypes and a high frequency of C1 KIR ligands. Accordingly, interactions of inhibitory KIR2DL3 with C1+HLA are more frequent in Zhejiang Han than populations outside East Asia. Zhejiang Han exhibit greater diversity of inhibitory than activating KIR, with three-domain inhibitory KIR exhibiting the greatest degree of polymorphism. As distinguished by gene copy number and allele content, 54 centromeric and 37 telomeric haplotypes were observed. We observed 6% of the population to have KIR haplotypes containing large-scale duplications or deletions that include complete genes. A unique truncated haplotype containing only KIR2DL4 in the telomeric region was also identified. An additional feature is the high frequency of HLA-B*46:01, which may have arisen due to selection pressure from infectious disease. This study will provide further insight into the role of KIR and HLA polymorphism in disease susceptibility of Zhejiang Chinese.
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Affiliation(s)
- Sudan Tao
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Yanmin He
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jielin Wang
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Ji He
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Faming Zhu
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, China
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22
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Tao S, Kichula KM, Harrison GF, Farias TDJ, Palmer WH, Leaton LA, Hajar CGN, Zefarina Z, Edinur HA, Zhu F, Norman PJ. The combinatorial diversity of KIR and HLA class I allotypes in Peninsular Malaysia. Immunology 2021; 162:389-404. [PMID: 33283280 PMCID: PMC7968402 DOI: 10.1111/imm.13289] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/18/2020] [Accepted: 11/21/2020] [Indexed: 12/16/2022] Open
Abstract
Killer cell immunoglobulin-like receptors (KIRs) interact with polymorphic human leucocyte antigen (HLA) class I molecules, modulating natural killer (NK) cell functions and affecting both the susceptibility and outcome of immune-mediated diseases. The KIR locus is highly diverse in gene content, copy number and allelic polymorphism within individuals and across geographical populations. To analyse currently under-represented Asian and Pacific populations, we investigated the combinatorial diversity of KIR and HLA class I in 92 unrelated Malay and 75 Malaysian Chinese individuals from the Malay Peninsula. We identified substantial allelic and structural diversity of the KIR locus in both populations and characterized novel variations at each analysis level. The Malay population is more diverse than Malay Chinese, likely representing a unique history including admixture with immigrating populations spanning several thousand years. Characterizing the Malay population are KIR haplotypes with large structural variants present in 10% individuals, and KIR and HLA alleles previously identified in Austronesian populations. Despite the differences in ancestries, the proportion of HLA allotypes that serve as KIR ligands is similar in each population. The exception is a significantly reduced frequency of interactions of KIR2DL1 with C2+ HLA-C in the Malaysian Chinese group, caused by the low frequency of C2+ HLA. One likely implication is a greater protection from preeclampsia, a pregnancy disorder associated with KIR2DL1, which shows higher incidence in the Malay than in the Malaysian Chinese. This first complete, high-resolution, characterization of combinatorial diversity of KIR and HLA in Malaysians will form a valuable reference for future clinical and population studies.
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Affiliation(s)
- Sudan Tao
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
- Blood Center of Zhejiang ProvinceKey Laboratory of Blood Safety Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - Genelle F. Harrison
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - Ticiana Della Justina Farias
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - William H. Palmer
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | - Laura Ann Leaton
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
| | | | - Zulkafli Zefarina
- School of Medical SciencesUniversiti Sains Malaysia, Health CampusKelantanMalaysia
| | - Hisham Atan Edinur
- School of Health SciencesUniversiti Sains Malaysia, Health CampusKelantanMalaysia
| | - Faming Zhu
- Blood Center of Zhejiang ProvinceKey Laboratory of Blood Safety Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized MedicineDepartment of Immunology and MicrobiologyUniversity of Colorado Anschutz Medical CampusAuroraCOUSA
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23
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Tukwasibwe S, Traherne JA, Chazara O, Jayaraman J, Trowsdale J, Moffett A, Jiang W, Nankabirwa JI, Rek J, Arinaitwe E, Nsobya SL, Atuheirwe M, Frank M, Godwin A, Jagannathan P, Cose S, Kamya MR, Dorsey G, Rosenthal PJ, Colucci F, Nakimuli A. Diversity of KIR genes and their HLA-C ligands in Ugandan populations with historically varied malaria transmission intensity. Malar J 2021; 20:111. [PMID: 33632228 PMCID: PMC7908804 DOI: 10.1186/s12936-021-03652-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 02/16/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Malaria is one of the most serious infectious diseases in the world. The malaria burden is greatly affected by human immunity, and immune responses vary between populations. Genetic diversity in KIR and HLA-C genes, which are important in immunity to infectious diseases, is likely to play a role in this heterogeneity. Several studies have shown that KIR and HLA-C genes influence the immune response to viral infections, but few studies have examined the role of KIR and HLA-C in malaria infection, and these have used low-resolution genotyping. The aim of this study was to determine whether genetic variation in KIR and their HLA-C ligands differ in Ugandan populations with historically varied malaria transmission intensity using more comprehensive genotyping approaches. METHODS High throughput multiplex quantitative real-time PCR method was used to genotype KIR genetic variants and copy number variation and a high-throughput real-time PCR method was developed to genotype HLA-C1 and C2 allotypes for 1344 participants, aged 6 months to 10 years, enrolled from Ugandan populations with historically high (Tororo District), medium (Jinja District) and low (Kanungu District) malaria transmission intensity. RESULTS The prevalence of KIR3DS1, KIR2DL5, KIR2DS5, and KIR2DS1 genes was significantly lower in populations from Kanungu compared to Tororo (7.6 vs 13.2%: p = 0.006, 57.2 vs 66.4%: p = 0.005, 33.2 vs 46.6%: p < 0.001, and 19.7 vs 26.7%: p = 0.014, respectively) or Jinja (7.6 vs 18.1%: p < 0.001, 57.2 vs 63.8%: p = 0.048, 33.2 vs 43.5%: p = 0.002, and 19.7 vs 30.4%: p < 0.001, respectively). The prevalence of homozygous HLA-C2 was significantly higher in populations from Kanungu (31.6%) compared to Jinja (21.4%), p = 0.043, with no significant difference between Kanungu and Tororo (26.7%), p = 0.296. CONCLUSIONS The KIR3DS1, KIR2DL5, KIR2DS5 and KIR2DS1 genes may partly explain differences in transmission intensity of malaria since these genes have been positively selected for in places with historically high malaria transmission intensity. The high-throughput, multiplex, real-time HLA-C genotyping PCR method developed will be useful in disease-association studies involving large cohorts.
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Affiliation(s)
- Stephen Tukwasibwe
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | | | - Olympe Chazara
- Department of Pathology, University of Cambridge, Cambridge, UK
- University of Cambridge Centre for Trophoblast Research, Cambridge, UK
| | - Jyothi Jayaraman
- Department of Pathology, University of Cambridge, Cambridge, UK
- University of Cambridge Centre for Trophoblast Research, Cambridge, UK
| | - John Trowsdale
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Ashley Moffett
- Department of Pathology, University of Cambridge, Cambridge, UK
- University of Cambridge Centre for Trophoblast Research, Cambridge, UK
| | - Wei Jiang
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Joaniter I. Nankabirwa
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | - John Rek
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | - Emmanuel Arinaitwe
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | - Samuel L. Nsobya
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | - Maxine Atuheirwe
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
| | - Mubiru Frank
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
| | - Anguzu Godwin
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
| | | | - Stephen Cose
- MRC/UVRI and LSHTM Uganda Research Unit, Kampala, Uganda
| | - Moses R. Kamya
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
- Infectious Diseases Research Collaboration, 2C Nakasero Hill Road, Kampala, Uganda
| | | | | | - Francesco Colucci
- University of Cambridge Centre for Trophoblast Research, Cambridge, UK
- Department of Obstetrics & Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, CB2 0SW UK
| | - Annettee Nakimuli
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, P.O BOX 7072, Kampala, Uganda
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24
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Schetelig J, Baldauf H, Koster L, Kuxhausen M, Heidenreich F, de Wreede LC, Spellman S, van Gelder M, Bruno B, Onida F, Lange V, Massalski C, Potter V, Ljungman P, Schaap N, Hayden P, Lee SJ, Kröger N, Hsu K, Schmidt AH, Yakoub-Agha I, Robin M. Haplotype Motif-Based Models for KIR-Genotype Informed Selection of Hematopoietic Cell Donors Fail to Predict Outcome of Patients With Myelodysplastic Syndromes or Secondary Acute Myeloid Leukemia. Front Immunol 2021; 11:584520. [PMID: 33542712 PMCID: PMC7851088 DOI: 10.3389/fimmu.2020.584520] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 11/25/2020] [Indexed: 12/18/2022] Open
Abstract
Results from registry studies suggest that harnessing Natural Killer (NK) cell reactivity mediated through Killer cell Immunoglobulin-like Receptors (KIR) could reduce the risk of relapse after allogeneic Hematopoietic Cell Transplantation (HCT). Several competing models have been developed to classify donors as KIR-advantageous or disadvantageous. Basically, these models differ by grouping donors based on distinct KIR–KIR–ligand combinations or by haplotype motif assignment. This study aimed to validate different models for unrelated donor selection for patients with Myelodysplatic Syndromes (MDS) or secondary Acute Myeloid Leukemia (sAML). In a joint retrospective study of the European Society for Blood and Marrow Transplantation (EBMT) and the Center for International Blood and Marrow Transplant Research (CIBMTR) registry data from 1704 patients with secondary AML or MDS were analysed. The cohort consisted mainly of older patients (median age 61 years) with high risk disease who had received chemotherapy-based reduced intensity conditioning and anti-thymocyte globulin prior to allogeneic HCT from well-matched unrelated stem cell donors. The impact of the predictors on Overall Survival (OS) and relapse incidence was tested in Cox regression models adjusted for patient age, a modified disease risk index, performance status, donor age, HLA-match, sex-match, CMV-match, conditioning intensity, type of T-cell depletion and graft type. KIR genes were typed using high-resolution amplicon-based next generation sequencing. In univariable and multivariable analyses none of the models predicted OS and the risk of relapse consistently. Our results do not support the hypothesis that optimizing NK-mediated alloreactivity is possible by KIR-genotype informed selection of HLA-matched unrelated donors. However, in the context of allogeneic transplantation, NK-cell biology is complex and only partly understood. KIR-genes are highly diverse and current assignment of haplotype motifs based on the presence or absence of selected KIR genes is over-simplistic. As a consequence, further research is highly warranted and should integrate cutting edge knowledge on KIR genetics, and NK-cell biology into future studies focused on homogeneous groups of patients and treatment modalities.
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Affiliation(s)
- Johannes Schetelig
- Medizinische Klinik und Poliklinik I, University Hospital Dresden, Dresden, Germany.,DKMS Clinical Trials Unit, Dresden, Germany
| | | | | | - Michelle Kuxhausen
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Falk Heidenreich
- Medizinische Klinik und Poliklinik I, University Hospital Dresden, Dresden, Germany.,DKMS Clinical Trials Unit, Dresden, Germany
| | - Liesbeth C de Wreede
- DKMS Clinical Trials Unit, Dresden, Germany.,Leiden University Medical Center, Department of Biomedical Data Sciences, Leiden, Netherlands
| | - Stephen Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Michel van Gelder
- Maastricht University Medical Center, Department of Internal Medicine, Maastricht, Netherlands
| | - Benedetto Bruno
- A.O.U. Citta della Salute e della Scienza di Torino, Turin, Italy
| | - Francesco Onida
- Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | | | | | | | - Per Ljungman
- Karolinska University Hospital and Karolinska Institutet, Stockholm, Sweden
| | | | | | - Stephanie J Lee
- Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | | | - Kathy Hsu
- Memorial Sloan Kettering Cancer Center, New York & Scientific Director, CIBMTR Immunobiology Working Committee, New York City, NY, United States
| | - Alexander H Schmidt
- DKMS Clinical Trials Unit, Dresden, Germany.,DKMS Life Science Lab, Dresden, Germany
| | | | - Marie Robin
- Hopital Saint-Louis, APHP, Université de Paris, Paris, France
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25
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Identification of a tumor-specific allo-HLA-restricted γδTCR. Blood Adv 2020; 3:2870-2882. [PMID: 31585951 DOI: 10.1182/bloodadvances.2019032409] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 07/28/2019] [Indexed: 12/25/2022] Open
Abstract
γδT cells are key players in cancer immune surveillance because of their ability to recognize malignant transformed cells, which makes them promising therapeutic tools in the treatment of cancer. However, the biological mechanisms of how γδT-cell receptors (TCRs) interact with their ligands are poorly understood. Within this context, we describe the novel allo-HLA-restricted and CD8α-dependent Vγ5Vδ1TCR. In contrast to the previous assumption of the general allo-HLA reactivity of a minor fraction of γδTCRs, we show that classic anti-HLA-directed, γδTCR-mediated reactivity can selectively act on hematological and solid tumor cells, while not harming healthy tissues in vitro and in vivo. We identified the molecular interface with proximity to the peptide-binding groove of HLA-A*24:02 as the essential determinant for recognition and describe the critical role of CD8 as a coreceptor. We conclude that alloreactive γδT-cell repertoires provide therapeutic opportunities, either within the context of haplotransplantation or as individual γδTCRs for genetic engineering of tumor-reactive T cells.
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26
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Souza AS, Sonon P, Paz MA, Tokplonou L, Lima THA, Porto IOP, Andrade HS, Silva NDSB, Veiga-Castelli LC, Oliveira MLG, Sadissou IA, Massaro JD, Moutairou KA, Donadi EA, Massougbodji A, Garcia A, Ibikounlé M, Meyer D, Sabbagh A, Mendes-Junior CT, Courtin D, Castelli EC. Hla-C genetic diversity and evolutionary insights in two samples from Brazil and Benin. HLA 2020; 96:468-486. [PMID: 32662221 DOI: 10.1111/tan.13996] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/18/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
Human leukocyte antigen-C (HLA-C) is a classical HLA class I molecule that binds and presents peptides to cytotoxic T lymphocytes in the cell surface. HLA-C has a dual function because it also interacts with Killer-cell immunoglobulin-like receptors (KIR) receptors expressed in natural killer and T cells, modulating their activity. The structure and diversity of the HLA-C regulatory regions, as well as the relationship among variants along the HLA-C locus, are poorly addressed, and few population-based studies explored the HLA-C variability in the entire gene in different population samples. Here we present a molecular and bioinformatics method to evaluate the entire HLA-C diversity, including regulatory sequences. Then, we applied this method to survey the HLA-C diversity in two population samples with different demographic histories, one highly admixed from Brazil with major European contribution, and one from Benin with major African contribution. The HLA-C promoter and 3'UTR were very polymorphic with the presence of few, but highly divergent haplotypes. These segments also present conserved sequences that are shared among different primate species. Nucleotide diversity was higher in other segments rather than exons 2 and 3, particularly around exon 5 and the second half of the 3'UTR region. We detected evidence of balancing selection on the entire HLA-C locus and positive selection in the HLA-C leader peptide, for both populations. HLA-C motifs previously associated with KIR interaction and expression regulation are similar between both populations. Each allele group is associated with specific regulatory sequences, reflecting the high linkage disequilibrium along the entire HLA-C locus in both populations.
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Affiliation(s)
- Andreia S Souza
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Paulin Sonon
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Michelle A Paz
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Léonidas Tokplonou
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin.,Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Thálitta H A Lima
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Iane O P Porto
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Heloisa S Andrade
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Nayane Dos S B Silva
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
| | - Luciana C Veiga-Castelli
- Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Maria Luiza G Oliveira
- Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Ibrahim Abiodoun Sadissou
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Juliana Doblas Massaro
- Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Kabirou A Moutairou
- Laboratoire de Biologie et Physiologie Cellulaire, Université d'Abomey-Calavi, Cotonou, Benin
| | - Eduardo A Donadi
- Department of Medicine, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - André Garcia
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Moudachirou Ibikounlé
- Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, University of São Paulo (USP), São Paulo, Brazil
| | - Audrey Sabbagh
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Celso T Mendes-Junior
- Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil
| | - David Courtin
- Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France
| | - Erick C Castelli
- Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil
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27
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Variations in killer-cell immunoglobulin-like receptor and human leukocyte antigen genes and immunity to malaria. Cell Mol Immunol 2020; 17:799-806. [PMID: 32541835 PMCID: PMC7294524 DOI: 10.1038/s41423-020-0482-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 05/19/2020] [Indexed: 12/29/2022] Open
Abstract
Malaria is one of the deadliest infectious diseases in the world. Immune responses to Plasmodium falciparum malaria vary among individuals and between populations. Human genetic variation in immune system genes is likely to play a role in this heterogeneity. Natural killer (NK) cells produce inflammatory cytokines in response to malaria infection, kill intraerythrocytic Plasmodium falciparum parasites by cytolysis, and participate in the initiation and development of adaptive immune responses to plasmodial infection. These functions are modulated by interactions between killer-cell immunoglobulin-like receptors (KIRs) and human leukocyte antigens (HLAs). Therefore, variations in KIR and HLA genes can have a direct impact on NK cell functions. Understanding the role of KIRs and HLAs in immunity to malaria can help to better characterize antimalarial immune responses. In this review, we summarize the different KIRs and HLAs associated with immunity to malaria thus far.
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28
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Alicata C, Ashouri E, Nemat-Gorgani N, Guethlein LA, Marin WM, Tao S, Moretta L, Hollenbach JA, Trowsdale J, Traherne JA, Ghaderi A, Parham P, Norman PJ. KIR Variation in Iranians Combines High Haplotype and Allotype Diversity With an Abundance of Functional Inhibitory Receptors. Front Immunol 2020; 11:556. [PMID: 32300348 PMCID: PMC7142237 DOI: 10.3389/fimmu.2020.00556] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 03/11/2020] [Indexed: 01/03/2023] Open
Abstract
Natural killer (NK) cells are innate lymphocytes that eliminate infected and transformed cells. They discriminate healthy from diseased tissue through killer cell Ig-like receptor (KIR) recognition of HLA class I ligands. Directly impacting NK cell function, KIR polymorphism associates with infection control and multiple autoimmune and pregnancy syndromes. Here we analyze KIR diversity of 241 individuals from five groups of Iranians. These five populations represent Baloch, Kurd, and Lur, together comprising 15% of the ethnically diverse Iranian population. We identified 159 KIR alleles, including 11 not previously characterized. We also identified 170 centromeric and 94 telomeric haplotypes, and 15 different KIR haplotypes carrying either a deletion or duplication encompassing one or more complete KIR genes. As expected, comparing our data with those representing major worldwide populations revealed the greatest similarity between Iranians and Europeans. Despite this similarity we observed higher frequencies of KIR3DL1*001 in Iran than any other population, and the highest frequency of HLA-B*51, a Bw4-containing allotype that acts as a strong educator of KIR3DL1*001+ NK cells. Compared to Europeans, the Iranians we studied also have a reduced frequency of 3DL1*004, which encodes an allotype that is not expressed at the NK cell surface. Concurrent with the resulting high frequency of strong viable interactions between inhibitory KIR and polymorphic HLA class I, the majority of KIR-A haplotypes characterized do not express a functional activating receptor. By contrast, the most frequent KIR-B haplotype in Iran expresses only one functional inhibitory KIR and the maximum number of activating KIR. This first complete, high-resolution, characterization of the KIR locus of Iranians will form a valuable reference for future clinical and population studies.
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Affiliation(s)
- Claudia Alicata
- Department of Immunology, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Elham Ashouri
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States.,Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.,School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States.,Division of Immunology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Lisbeth A Guethlein
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Wesley M Marin
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Sudan Tao
- Blood Center of Zhejiang Province, Hangzhou, China.,Division of Personalized Medicine, Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
| | - Lorenzo Moretta
- Department of Immunology, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Jill A Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - John Trowsdale
- Division of Immunology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - James A Traherne
- Division of Immunology, Department of Pathology, University of Cambridge, Cambridge, United Kingdom
| | - Abbas Ghaderi
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Paul J Norman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States.,Division of Personalized Medicine, Department of Immunology and Microbiology, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States
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29
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Robinson J, Barker DJ, Georgiou X, Cooper MA, Flicek P, Marsh SGE. IPD-IMGT/HLA Database. Nucleic Acids Res 2020; 48:D948-D955. [PMID: 31667505 PMCID: PMC7145640 DOI: 10.1093/nar/gkz950] [Citation(s) in RCA: 315] [Impact Index Per Article: 78.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 10/03/2019] [Accepted: 10/29/2019] [Indexed: 11/14/2022] Open
Abstract
The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries.
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Affiliation(s)
- James Robinson
- Anthony Nolan Research Institute, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
| | | | | | | | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK
| | - Steven G E Marsh
- Anthony Nolan Research Institute, London, UK
- UCL Cancer Institute, University College London (UCL), London, UK
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30
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Kennedy PR, Barthen C, Williamson DJ, Pitkeathly WTE, Hazime KS, Cumming J, Stacey KB, Hilton HG, Carrington M, Parham P, Davis DM. Genetic diversity affects the nanoscale membrane organization and signaling of natural killer cell receptors. Sci Signal 2019; 12:eaaw9252. [PMID: 31848320 PMCID: PMC6944503 DOI: 10.1126/scisignal.aaw9252] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genetic diversity in human natural killer (NK) cell receptors is linked to resistance and susceptibility to many diseases. Here, we tested the effect of this diversity on the nanoscale organization of killer cell immunoglobulin-like receptors (KIRs). Using superresolution microscopy, we found that inhibitory KIRs encoded by different genes and alleles were organized differently at the surface of primary human NK cells. KIRs that were found at low abundance assembled into smaller clusters than those formed by KIRs that were more highly abundant, and at low abundance, there was a greater proportion of KIRs in clusters. Upon receptor triggering, a structured interface called the immune synapse assembles, which facilitates signal integration and controls NK cell responses. Here, triggering of low-abundance receptors resulted in less phosphorylation of the downstream phosphatase SHP-1 but more phosphorylation of the adaptor protein Crk than did triggering of high-abundance receptors. In cells with greater KIR abundance, SHP-1 dephosphorylated Crk, which potentiated NK cell spreading during activation. Thus, genetic variation modulates both the abundance and nanoscale organization of inhibitory KIRs. That is, as well as the number of receptors at the cell surface varying with genotype, the way in which these receptors are organized in the membrane also varies. Essentially, a change in the average surface abundance of a protein at the cell surface is a coarse descriptor entwined with changes in local nanoscale clustering. Together, our data indicate that genetic diversity in inhibitory KIRs affects membrane-proximal signaling and, unexpectedly, the formation of activating immune synapses.
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Affiliation(s)
- Philippa R Kennedy
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - Charlotte Barthen
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - David J Williamson
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - William T E Pitkeathly
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - Khodor S Hazime
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - Joshua Cumming
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - Kevin B Stacey
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
| | - Hugo G Hilton
- Department of Structural Biology, Stanford University School of Medicine, D159, Sherman Fairchild Science Building, 299 Campus Drive West, Stanford, CA 94305, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, Building 560, Room 21-89, Frederick, MD 21702, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, D159, Sherman Fairchild Science Building, 299 Campus Drive West, Stanford, CA 94305, USA
| | - Daniel M Davis
- Manchester Collaborative Centre for Inflammation Research, University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK.
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31
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Goodier MR, Wolf AS, Riley EM. Differentiation and adaptation of natural killer cells for anti-malarial immunity. Immunol Rev 2019; 293:25-37. [PMID: 31762040 DOI: 10.1111/imr.12798] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 08/07/2019] [Accepted: 08/16/2019] [Indexed: 12/12/2022]
Abstract
Natural killer cells employ a diverse arsenal of effector mechanisms to target intracellular pathogens. Differentiation of natural killer (NK) cell activation pathways occurs along a continuum from reliance on innate pro-inflammatory cytokines and stress-induced host ligands through to interaction with signals derived from acquired immune responses. Importantly, the degree of functional differentiation of the NK cell lineage influences the magnitude and specificity of interactions with host cells infected with viruses, bacteria, fungi, and parasites. Individual humans possess a vast diversity of distinct NK cell clones, each with the capacity to vary along this functional differentiation pathway, which - when combined - results in unique individual responses to different infections. Here we summarize these NK cell differentiation events, review evidence for direct interaction of malaria-infected host cells with NK cells and assess how innate inflammatory signals induced by malaria parasite-associated molecular patterns influence the indirect activation and function of NK cells. Finally, we discuss evidence that anti-malarial immunity develops in parallel with advancing NK differentiation, coincident with a loss of reliance on inflammatory signals, and a refined capacity of NK cells to target malaria parasites more precisely, particularly through antibody-dependent mechanisms.
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Affiliation(s)
- Martin R Goodier
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | - Asia-Sophia Wolf
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.,Department of Infection and Immunity, University College London, London, UK
| | - Eleanor M Riley
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.,The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK
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32
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Distribution of Killer-Cell Immunoglobulin-Like Receptor Genes and Combinations of Their Human Leucocyte Antigen Ligands in 11 Ethnic Populations in China. Cells 2019; 8:cells8070711. [PMID: 31336930 PMCID: PMC6678321 DOI: 10.3390/cells8070711] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/08/2019] [Accepted: 07/09/2019] [Indexed: 12/15/2022] Open
Abstract
The aim of this study was to analyze the distribution of killer-cell immunoglobulin-like receptor (KIR) genes and their human leucocyte antigen (HLA) ligand combinations in different original ethnic populations in China, and thus, to provide relevant genomic diversity data for the future study of viral infections, autoimmune diseases, and reproductive fitness. A total of 1119 unrelated individuals from 11 ethnic populations—including Hani, Jinuo, Lisu, Nu, Bulang, Wa, Dai, Maonan, Zhuang, Tu, and Yugu—from four original groups, were included. The presence/absence of the 16 KIR loci were detected, and the KIR gene’s phenotype, genotype, and haplotype A and B frequencies, as well as KIR ligand’s HLA allotype and KIR–HLA pairs for each population, were calculated. Principal component analysis and phylogenetic trees were constructed to compare the characteristics of the KIR and KIR–HLA pair distributions of these 11 populations. In total, 92 KIR genotypes were identified, including six new genotypes. The KIR and its HLA ligands had a distributed diversity in 11 ethnic populations in China, and each group had its specific KIR and KIR–HLA pair profile. The difference among the KIR–HLA pairs between northern and southern groups, but not among the four original groups, may reflect strong pressure from previous or ongoing infectious diseases, which have a significant impact on KIR and its HLA combination repertoires.
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33
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Sim MJW, Rajagopalan S, Altmann DM, Boyton RJ, Sun PD, Long EO. Human NK cell receptor KIR2DS4 detects a conserved bacterial epitope presented by HLA-C. Proc Natl Acad Sci U S A 2019; 116:12964-12973. [PMID: 31138701 PMCID: PMC6601252 DOI: 10.1073/pnas.1903781116] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Natural killer (NK) cells have an important role in immune defense against viruses and cancer. Activation of human NK cell cytotoxicity toward infected or tumor cells is regulated by killer cell immunoglobulin-like receptors (KIRs) that bind to human leukocyte antigen class I (HLA-I). Combinations of KIR with HLA-I are genetically associated with susceptibility to disease. KIR2DS4, an activating member of the KIR family with poorly defined ligands, is a receptor of unknown function. Here, we show that KIR2DS4 has a strong preference for rare peptides carrying a Trp at position 8 (p8) of 9-mer peptides bound to HLA-C*05:01. The complex of a peptide bound to HLA-C*05:01 with a Trp at p8 was sufficient for activation of primary KIR2DS4+ NK cells, independent of activation by other receptors and of prior NK cell licensing. HLA-C*05:01+ cells that expressed the peptide epitope triggered KIR2DS4+ NK cell degranulation. We show an inverse correlation of the worldwide allele frequency of functional KIR2DS4 with that of HLA-C*05:01, indicative of functional interaction and balancing selection. We found a highly conserved peptide sequence motif for HLA-C*05:01-restricted activation of human KIR2DS4+ NK cells in bacterial recombinase A (RecA). KIR2DS4+ NK cells were stimulated by RecA epitopes from multiple human pathogens, including Helicobacter, Chlamydia, Brucella, and Campylobacter. We predict that over 1,000 bacterial species could activate NK cells through KIR2DS4, and propose that human NK cells also contribute to immune defense against bacteria through recognition of a conserved RecA epitope presented by HLA-C*05:01.
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Affiliation(s)
- Malcolm J W Sim
- Molecular and Cellular Immunology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852
- Structural Immunology Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852
| | - Sumati Rajagopalan
- Molecular and Cellular Immunology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852
| | - Daniel M Altmann
- Lung Immunology Group, Department of Medicine, Imperial College London, London W12 0NN, United Kingdom
| | - Rosemary J Boyton
- Lung Immunology Group, Department of Medicine, Imperial College London, London W12 0NN, United Kingdom
| | - Peter D Sun
- Structural Immunology Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852
| | - Eric O Long
- Molecular and Cellular Immunology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20852;
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34
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Augusto DG, Norman PJ, Dandekar R, Hollenbach JA. Fluctuating and Geographically Specific Selection Characterize Rapid Evolution of the Human KIR Region. Front Immunol 2019; 10:989. [PMID: 31156615 PMCID: PMC6533848 DOI: 10.3389/fimmu.2019.00989] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/16/2019] [Indexed: 01/04/2023] Open
Abstract
The killer-cell immunoglobulin-like receptor (KIR) region comprises a fast-evolving family of genes that encode receptors for natural killer (NK) cells and have crucial role in host defense. Evolution of KIR was examined in the context of the human genome. Gene-content diversity and single nucleotide polymorphisms (SNP) in the KIR genes and flanking regions were compared to >660,000 genome-wide SNPs in over 800 individuals from 52 populations of the human genome diversity panel (HGDP). KIR allelic diversity was further examined using next generation sequencing in a subset of 56 individuals. We identified the SNP rs587560 located in KIR3DL3 as a marker of KIR2DL2 and KIR2DL3 and, consequently, Cen A and Cen B haplotypes. We also show that combinations of two KIR2DL4 SNPs (rs35656676 and rs592645) distinguish KIR3DL1 from KIR3DS1 and also define the major KIR3DL1 high- and low-expressing alleles lineages. Comparing the diversity of the SNPs within the KIR region to remainder of the genome, we observed a high diversity for the centromeric KIR region consistent with balancing selection (p < 0.01); in contrast, centromeric KIR diversity is significantly reduced in East Asian populations (p < 0.01), indicating purifying selection. By analyzing SNP haplotypes in a region spanning ~500 kb that includes the KIR cluster, we observed evidence of strong positive selection in Africa for high-expressing KIR3DL1 alleles, favored over the low-expressing alleles (p < 0.01). In sharp contrast, the strong positive selection (p < 0.01) that we also observed in the telomeric KIR region in Oceanic populations tracked with a high frequency of KIR3DS1. In addition, we demonstrated that worldwide frequency of high-expression KIR3DL1 alleles was correlated with virus with virus (r = 0.64, p < 10−6) and protozoa (r = 0.69, p < 10−6) loads, which points to selection globally on KIR3DL1 high-expressing alleles attributable to pathogen exposure.
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Affiliation(s)
- Danillo G Augusto
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, Department of Immunology, University of Colorado, Denver, CO, United States
| | - Ravi Dandekar
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Jill A Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
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Nemat-Gorgani N, Guethlein LA, Henn BM, Norberg SJ, Chiaroni J, Sikora M, Quintana-Murci L, Mountain JL, Norman PJ, Parham P. Diversity of KIR, HLA Class I, and Their Interactions in Seven Populations of Sub-Saharan Africans. THE JOURNAL OF IMMUNOLOGY 2019; 202:2636-2647. [PMID: 30918042 DOI: 10.4049/jimmunol.1801586] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 02/13/2019] [Indexed: 12/21/2022]
Abstract
HLA class I and KIR sequences were determined for Dogon, Fulani, and Baka populations of western Africa, Mbuti of central Africa, and Datooga, Iraqw, and Hadza of eastern Africa. Study of 162 individuals identified 134 HLA class I alleles (41 HLA-A, 60 HLA-B, and 33 HLA-C). Common to all populations are three HLA-C alleles (C1+C*07:01, C1+C*07:02, and C2+C*06:02) but no HLA-A or -B Unexpectedly, no novel HLA class I was identified in these previously unstudied and anthropologically distinctive populations. In contrast, of 227 KIR detected, 22 are present in all seven populations and 28 are novel. A high diversity of HLA A-C-B haplotypes was observed. In six populations, most haplotypes are represented just once. But in the Hadza, a majority of haplotypes occur more than once, with 2 having high frequencies and 10 having intermediate frequencies. The centromeric (cen) part of the KIR locus exhibits an even balance between cenA and cenB in all seven populations. The telomeric (tel) part has an even balance of telA to telB in East Africa, but this changes across the continent to where telB is vestigial in West Africa. All four KIR ligands (A3/11, Bw4, C1, and C2) are present in six of the populations. HLA haplotypes of the Iraqw and Hadza encode two KIR ligands, whereas the other populations have an even balance between haplotypes encoding one and two KIR ligands. Individuals in these African populations have a mean of 6.8-8.4 different interactions between KIR and HLA class I, compared with 2.9-6.5 for non-Africans.
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Affiliation(s)
- Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Lisbeth A Guethlein
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, NY 11794
| | | | - Jacques Chiaroni
- UMR 7268-Anthropologie Bio-Culturelle, Droit, Éthique et Santé, Aix-Marseille Université, l'Etablissement Français du Sang, Centre National de la Recherche Scientifique, 13344 Marseille, France
| | - Martin Sikora
- Center for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark
| | | | | | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, CO 80045; and.,Department of Immunology, University of Colorado, Denver, CO 80045
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305;
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Jayaraman J, Kirgizova V, Di D, Johnson C, Jiang W, Traherne JA. qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes. J Vis Exp 2019:10.3791/58646. [PMID: 30907867 PMCID: PMC6794157 DOI: 10.3791/58646] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Killer cell immunoglobulin-like receptors (KIRs) are a set of inhibitory and activating immune receptors, on natural killer (NK) and T cells, encoded by a polymorphic cluster of genes on chromosome 19. Their best-characterized ligands are the human leukocyte antigen (HLA) molecules that are encoded within the major histocompatibility complex (MHC) locus on chromosome 6. There is substantial evidence that they play a significant role in immunity, reproduction, and transplantation, making it crucial to have techniques that can accurately genotype them. However, high-sequence homology, as well as allelic and copy number variation, make it difficult to design methods that can accurately and efficiently genotype all KIR genes. Traditional methods are usually limited in the resolution of data obtained, throughput, cost-effectiveness, and the time taken for setting up and running the experiments. We describe a method called quantitative KIR semi-automated typing (qKAT), which is a high-throughput multiplex real-time polymerase chain reaction method that can determine the gene copy numbers for all genes in the KIR locus. qKAT is a simple high-throughput method that can provide high-resolution KIR copy number data, which can be further used to infer the variations in the structurally polymorphic haplotypes that encompass them. This copy number and haplotype data can be beneficial for studies on large-scale disease associations, population genetics, as well as investigations on expression and functional interactions between KIR and HLA.
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Affiliation(s)
- Jyothi Jayaraman
- Department of Pathology, University of Cambridge; Department of Physiology, Development and Neuroscience, University of Cambridge; Department of Obstetrics and Gynaecology, University of Cambridge School of Medicine, NIHR Cambridge Biomedical Research Centre; Centre for Trophoblast Research, University of Cambridge
| | | | - Da Di
- Department of Pathology, University of Cambridge; Department of Genetics & Evolution, University of Geneva
| | | | - Wei Jiang
- Department of Pathology, University of Cambridge; Department of Plant Sciences, University of Cambridge
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Leaton LA, Shortt J, Kichula KM, Tao S, Nemat-Gorgani N, Mentzer AJ, Oppenheimer SJ, Deng Z, Hollenbach JA, Gignoux CR, Guethlein LA, Parham P, Carrington M, Norman PJ. Conservation, Extensive Heterozygosity, and Convergence of Signaling Potential All Indicate a Critical Role for KIR3DL3 in Higher Primates. Front Immunol 2019; 10:24. [PMID: 30745901 PMCID: PMC6360152 DOI: 10.3389/fimmu.2019.00024] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 01/07/2019] [Indexed: 01/12/2023] Open
Abstract
Natural killer (NK) cell functions are modulated by polymorphic killer cell immunoglobulin-like receptors (KIR). Among 13 human KIR genes, which vary by presence and copy number, KIR3DL3 is ubiquitously present in every individual across diverse populations. No ligand or function is known for KIR3DL3, but limited knowledge of expression suggests involvement in reproduction, likely during placentation. With 157 human alleles, KIR3DL3 is also highly polymorphic and we show heterozygosity exceeds that of HLA-B in many populations. The external domains of catarrhine primate KIR3DL3 evolved as a conserved lineage distinct from other KIR. Accordingly, and in contrast to other KIR, we show the focus of natural selection does not correspond exclusively to known ligand binding sites. Instead, a strong signal for diversifying selection occurs in the D1 Ig domain at a site involved in receptor aggregation, which we show is polymorphic in humans worldwide, suggesting differential ability for receptor aggregation. Meanwhile in the cytoplasmic tail, the first of two inhibitory tyrosine motifs (ITIM) is conserved, whereas independent genomic events have mutated the second ITIM of KIR3DL3 alleles in all great apes. Together, these findings suggest that KIR3DL3 binds a conserved ligand, and a function requiring both receptor aggregation and inhibitory signal attenuation. In this model KIR3DL3 resembles other NK cell inhibitory receptors having only one ITIM, which interact with bivalent downstream signaling proteins through dimerization. Due to the extensive conservation across species, selection, and other unusual properties, we consider elucidating the ligand and function of KIR3DL3 to be a pressing question.
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Affiliation(s)
- Laura A. Leaton
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
- Department of Microbiology & Immunology, University of Colorado, Aurora, CO, United States
| | - Jonathan Shortt
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
| | - Katherine M. Kichula
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
- Department of Microbiology & Immunology, University of Colorado, Aurora, CO, United States
| | - Sudan Tao
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
- Department of Microbiology & Immunology, University of Colorado, Aurora, CO, United States
- Blood Center of Zhejiang Province, Hangzhou, China
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Alexander J. Mentzer
- Wellcome Trust Centre for Human Genetics, and Jenner Institute, University of Oxford, Oxford, United Kingdom
| | - Stephen J. Oppenheimer
- Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, Oxford, United Kingdom
| | - Zhihui Deng
- Immunogenetics Laboratory, Shenzhen Blood Center, Shenzhen, China
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Christopher R. Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
| | - Lisbeth A. Guethlein
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, United States
- Ragon Institute of the Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Boston, MA, United States
| | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Aurora, CO, United States
- Department of Microbiology & Immunology, University of Colorado, Aurora, CO, United States
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Bastidas-Legarda LY, Khakoo SI. Conserved and variable natural killer cell receptors: diverse approaches to viral infections. Immunology 2019; 156:319-328. [PMID: 30570753 DOI: 10.1111/imm.13039] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 12/12/2018] [Indexed: 02/07/2023] Open
Abstract
Natural killer (NK) cells are lymphocytes of the innate immune system with essential roles during viral infections. NK cell functions are mediated through a repertoire of non-rearranging inhibitory and activating receptors that interact with major histocompatibility complex (MHC)-peptide complexes on the surface of infected cells. Recent work studying the conserved CD94-NKG2A and variable killer cell immunoglobulin-like receptor-MHC systems suggest that these two receptor families may have subtly different properties in terms of interactions with MHC class I bound peptides, and in recognition of down-regulation of MHC class I. In this review, we discuss how these properties generate diversity in the NK cell response to viruses.
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Affiliation(s)
- Leidy Y Bastidas-Legarda
- Faculty of Medicine, Clinical and Experimental Sciences, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Salim I Khakoo
- Faculty of Medicine, Clinical and Experimental Sciences, Southampton General Hospital, University of Southampton, Southampton, UK
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Wagner I, Schefzyk D, Pruschke J, Schöfl G, Schöne B, Gruber N, Lang K, Hofmann J, Gnahm C, Heyn B, Marin WM, Dandekar R, Hollenbach JA, Schetelig J, Pingel J, Norman PJ, Sauter J, Schmidt AH, Lange V. Allele-Level KIR Genotyping of More Than a Million Samples: Workflow, Algorithm, and Observations. Front Immunol 2018; 9:2843. [PMID: 30564239 PMCID: PMC6288436 DOI: 10.3389/fimmu.2018.02843] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 11/19/2018] [Indexed: 11/13/2022] Open
Abstract
The killer-cell immunoglobulin-like receptor (KIR) genes regulate natural killer cell activity, influencing predisposition to immune mediated disease, and affecting hematopoietic stem cell transplantation (HSCT) outcome. Owing to the complexity of the KIR locus, with extensive gene copy number variation (CNV) and allelic diversity, high-resolution characterization of KIR has so far been applied only to relatively small cohorts. Here, we present a comprehensive high-throughput KIR genotyping approach based on next generation sequencing. Through PCR amplification of specific exons, our approach delivers both copy numbers of the individual genes and allelic information for every KIR gene. Ten-fold replicate analysis of a set of 190 samples revealed a precision of 99.9%. Genotyping of an independent set of 360 samples resulted in an accuracy of more than 99% taking into account consistent copy number prediction. We applied the workflow to genotype 1.8 million stem cell donor registry samples. We report on the observed KIR allele diversity and relative abundance of alleles based on a subset of more than 300,000 samples. Furthermore, we identified more than 2,000 previously unreported KIR variants repeatedly in independent samples, underscoring the large diversity of the KIR region that awaits discovery. This cost-efficient high-resolution KIR genotyping approach is now applied to samples of volunteers registering as potential donors for HSCT. This will facilitate the utilization of KIR as additional selection criterion to improve unrelated donor stem cell transplantation outcome. In addition, the approach may serve studies requiring high-resolution KIR genotyping, like population genetics and disease association studies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Wesley M. Marin
- San Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Ravi Dandekar
- San Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Jill A. Hollenbach
- San Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Johannes Schetelig
- DKMS, Tübingen, Germany
- Department of Internal Medicine I, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany
| | | | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology, University of Colorado Anschutz Medical, Aurora, CO, United States
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González-Quezada B, Sánchez-Fernández M, Munguía-Saldaña A, Valencia-Macedo M, Flores-Aguilar H, Bonilla-Galán E, Rodríguez-Gómez A, Díaz-Rivera A, Gorodezky C. Allele diversity of the killer cell immunoglobulin-like receptors KIR3DL1/S1 and the combination with their HLA ligands in Mexican Mestizos from Mexico City. Hum Immunol 2018; 79:834-838. [DOI: 10.1016/j.humimm.2018.10.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 09/04/2018] [Accepted: 10/17/2018] [Indexed: 01/02/2023]
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Boelen L, Debebe B, Silveira M, Salam A, Makinde J, Roberts CH, Wang ECY, Frater J, Gilmour J, Twigger K, Ladell K, Miners KL, Jayaraman J, Traherne JA, Price DA, Qi Y, Martin MP, Macallan DC, Thio CL, Astemborski J, Kirk G, Donfield SM, Buchbinder S, Khakoo SI, Goedert JJ, Trowsdale J, Carrington M, Kollnberger S, Asquith B. Inhibitory killer cell immunoglobulin-like receptors strengthen CD8 + T cell-mediated control of HIV-1, HCV, and HTLV-1. Sci Immunol 2018; 3:eaao2892. [PMID: 30413420 PMCID: PMC6277004 DOI: 10.1126/sciimmunol.aao2892] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 06/06/2018] [Accepted: 10/09/2018] [Indexed: 01/05/2023]
Abstract
Killer cell immunoglobulin-like receptors (KIRs) are expressed predominantly on natural killer cells, where they play a key role in the regulation of innate immune responses. Recent studies show that inhibitory KIRs can also affect adaptive T cell-mediated immunity. In mice and in human T cells in vitro, inhibitory KIR ligation enhanced CD8+ T cell survival. To investigate the clinical relevance of these observations, we conducted an extensive immunogenetic analysis of multiple independent cohorts of HIV-1-, hepatitis C virus (HCV)-, and human T cell leukemia virus type 1 (HTLV-1)-infected individuals in conjunction with in vitro assays of T cell survival, analysis of ex vivo KIR expression, and mathematical modeling of host-virus dynamics. Our data suggest that functional engagement of inhibitory KIRs enhances the CD8+ T cell response against HIV-1, HCV, and HTLV-1 and is a significant determinant of clinical outcome in all three viral infections.
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Affiliation(s)
- Lies Boelen
- Department of Medicine, Imperial College London, London, UK
| | - Bisrat Debebe
- Department of Medicine, Imperial College London, London, UK
| | - Marcos Silveira
- Department of Medicine, Imperial College London, London, UK
- Faculty of Engineering, São Paulo State University-UNESP, São Paulo, Brazil
| | - Arafa Salam
- Institute for Infection and Immunity, St. George's, University of London, London, UK
| | - Julia Makinde
- International AIDS Vaccine Initiative Human Immunology Laboratory, London, UK
| | - Chrissy H Roberts
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Eddie C Y Wang
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - John Frater
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Jill Gilmour
- International AIDS Vaccine Initiative Human Immunology Laboratory, London, UK
| | - Katie Twigger
- Department of Medicine, Imperial College London, London, UK
| | - Kristin Ladell
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Kelly L Miners
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Jyothi Jayaraman
- Immunology Division, Department of Pathology, University of Cambridge, Cambridge, UK
| | - James A Traherne
- Immunology Division, Department of Pathology, University of Cambridge, Cambridge, UK
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Ying Qi
- Cancer and Inflammation Program, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Maureen P Martin
- Cancer and Inflammation Program, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Derek C Macallan
- Institute for Infection and Immunity, St. George's, University of London, London, UK
| | | | | | | | | | - Susan Buchbinder
- San Francisco Department of Public Health, San Francisco, CA, USA
| | - Salim I Khakoo
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - John Trowsdale
- Immunology Division, Department of Pathology, University of Cambridge, Cambridge, UK
| | - Mary Carrington
- Cancer and Inflammation Program, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
| | - Simon Kollnberger
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Becca Asquith
- Department of Medicine, Imperial College London, London, UK.
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Huhn O, Chazara O, Ivarsson MA, Retière C, Venkatesan TC, Norman PJ, Hilton HG, Jayaraman J, Traherne JA, Trowsdale J, Ito M, Kling C, Parham P, Ghadially H, Moffett A, Sharkey AM, Colucci F. High-Resolution Genetic and Phenotypic Analysis of KIR2DL1 Alleles and Their Association with Pre-Eclampsia. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2018; 201:2593-2601. [PMID: 30249807 PMCID: PMC6258046 DOI: 10.4049/jimmunol.1800860] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 08/22/2018] [Indexed: 12/29/2022]
Abstract
Killer-cell Ig-like receptor (KIR) genes are inherited as haplotypes. They are expressed by NK cells and linked to outcomes of infectious diseases and pregnancy in humans. Understanding how genotype relates to phenotype is difficult because of the extensive diversity of the KIR family. Indeed, high-resolution KIR genotyping and phenotyping in single NK cells in the context of disease association is lacking. In this article, we describe a new method to separate NK cells expressing allotypes of the KIR2DL1 gene carried by the KIR A haplotype (KIR2DL1A) from those expressing KIR2DL1 alleles carried by the KIR B haplotype (KIR2DL1B). We find that in KIR AB heterozygous individuals, different KIR2DL1 allotypes can be detected in both peripheral blood and uterine NK cells. Using this new method, we demonstrate that both blood and uterine NK cells codominantly express KIR2DL1A and KIR2DL1B allotypes but with a predominance of KIR2DL1A variants, which associate with enhanced NK cell function. In a case-control study of pre-eclampsia, we show that KIR2DL1A, not KIR2DL1B, associates with increased disease risk. This method will facilitate our understanding of how individual KIR2DL1 allelic variants affect NK cell function and contribute to disease risk.
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Affiliation(s)
- Oisín Huhn
- Department of Obstetrics and Gynaecology, University of Cambridge School of Clinical Medicine, National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0SW, United Kingdom
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- MedImmune Ltd., Granta Park, Cambridge CB21 6GH, United Kingdom
| | - Olympe Chazara
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - Martin A Ivarsson
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Christelle Retière
- Etablissement Français du Sang, Université de Nantes, 44011 Nantes, France
- Centre de Recherche en Cancérologie et Immunologie Nantes Angers, INSERM, CNRS, Université de Nantes, 44007 Nantes, France
- Centre de Recherche en Cancérologie et Immunologie Nantes Angers, INSERM U1232, CNRS, Université d'Angers, 49035 Angers, France
| | - Timothy C Venkatesan
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - Paul J Norman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Hugo G Hilton
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Jyothi Jayaraman
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - James A Traherne
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - John Trowsdale
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - Mitsutero Ito
- Department of Genetics, University of Cambridge, Cambridge CB2 3DY, United Kingdom; and
| | | | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | | | - Ashley Moffett
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - Andrew M Sharkey
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom;
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
| | - Francesco Colucci
- Department of Obstetrics and Gynaecology, University of Cambridge School of Clinical Medicine, National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge CB2 0SW, United Kingdom;
- Centre for Trophoblast Research, University of Cambridge, Cambridge CB2 3EG, United Kingdom
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Misra MK, Augusto DG, Martin GM, Nemat-Gorgani N, Sauter J, Hofmann JA, Traherne JA, González-Quezada B, Gorodezky C, Bultitude WP, Marin W, Vierra-Green C, Anderson KM, Balas A, Caro-Oleas JL, Cisneros E, Colucci F, Dandekar R, Elfishawi SM, Fernández-Viña MA, Fouda M, González-Fernández R, Große A, Herrero-Mata MJ, Hollenbach SQ, Marsh SGE, Mentzer A, Middleton D, Moffett A, Moreno-Hidalgo MA, Mossallam GI, Nakimuli A, Oksenberg JR, Oppenheimer SJ, Parham P, Petzl-Erler ML, Planelles D, Sánchez-García F, Sánchez-Gordo F, Schmidt AH, Trowsdale J, Vargas LB, Vicario JL, Vilches C, Norman PJ, Hollenbach JA. Report from the Killer-cell Immunoglobulin-like Receptors (KIR) component of the 17th International HLA and Immunogenetics Workshop. Hum Immunol 2018; 79:825-833. [PMID: 30321631 DOI: 10.1016/j.humimm.2018.10.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 10/07/2018] [Accepted: 10/08/2018] [Indexed: 12/16/2022]
Abstract
The goals of the KIR component of the 17th International HLA and Immunogenetics Workshop (IHIW) were to encourage and educate researchers to begin analyzing KIR at allelic resolution, and to survey the nature and extent of KIR allelic diversity across human populations. To represent worldwide diversity, we analyzed 1269 individuals from ten populations, focusing on the most polymorphic KIR genes, which express receptors having three immunoglobulin (Ig)-like domains (KIR3DL1/S1, KIR3DL2 and KIR3DL3). We identified 13 novel alleles of KIR3DL1/S1, 13 of KIR3DL2 and 18 of KIR3DL3. Previously identified alleles, corresponding to 33 alleles of KIR3DL1/S1, 38 of KIR3DL2, and 43 of KIR3DL3, represented over 90% of the observed allele frequencies for these genes. In total we observed 37 KIR3DL1/S1 allotypes, 40 for KIR3DL2 and 44 for KIR3DL3. As KIR allotype diversity can affect NK cell function, this demonstrates potential for high functional diversity worldwide. Allelic variation further diversifies KIR haplotypes. We determined KIR3DL3 ∼ KIR3DL1/S1 ∼ KIR3DL2 haplotypes from five of the studied populations, and observed multiple population-specific haplotypes in each. This included 234 distinct haplotypes in European Americans, 191 in Ugandans, 35 in Papuans, 95 in Egyptians and 86 in Spanish populations. For another 35 populations, encompassing 642,105 individuals we focused on KIR3DL2 and identified another 375 novel alleles, with approximately half of them observed in more than one individual. The KIR allelic level data gathered from this project represents the most comprehensive summary of global KIR allelic diversity to date, and continued analysis will improve understanding of KIR allelic polymorphism in global populations. Further, the wealth of new data gathered in the course of this workshop component highlights the value of collaborative, community-based efforts in immunogenetics research, exemplified by the IHIW.
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Affiliation(s)
- Maneesh K Misra
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Danillo G Augusto
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA; Department of Genetics, Universidade Federal do Paraná, Curitiba, Brazil
| | - Gonzalo Montero Martin
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | | | | | - Betsy González-Quezada
- Department of Immunology and Immunogenetics, InDRE, Secretary of Health, Francisco P. Miranda #177, Colonia Lomas de Plateros, Del. Álvaro Obregón, CP 01480, Mexico City, Mexico; Fundación Comparte Vida, A.C. Galileo #92, Col. Polanco, Del. Miguel Hidalgo, CP 11550 Mexico City, Mexico
| | - Clara Gorodezky
- Department of Immunology and Immunogenetics, InDRE, Secretary of Health, Francisco P. Miranda #177, Colonia Lomas de Plateros, Del. Álvaro Obregón, CP 01480, Mexico City, Mexico; Fundación Comparte Vida, A.C. Galileo #92, Col. Polanco, Del. Miguel Hidalgo, CP 11550 Mexico City, Mexico
| | - Will P Bultitude
- Anthony Nolan Research Institute and UCL Cancer Institute, Royal Free Campus, Pond Street, London NW3 2QG, UK
| | - Wesley Marin
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Cynthia Vierra-Green
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA
| | - Kirsten M Anderson
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Antonio Balas
- Histocompatibility, Centro de Transfusión de la Comunidad de Madrid, Madrid, Spain
| | - Jose L Caro-Oleas
- Histocompatibility and Immunogenetics, Banc de Sang i Teixits, Barcelona, Spain
| | - Elisa Cisneros
- Immunogenetics and Histocompatibility, Instituto de Investigación Sanitaria Puerta de Hierro, Madrid, Spain
| | - Francesco Colucci
- Department of Obstetrics and Gynaecology, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge School of Clinical Medicine, Cambridge, UK; Centre for Trophoblast Research, University of Cambridge, Cambridge, UK
| | - Ravi Dandekar
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | | | | | - Merhan Fouda
- National Cancer Institute, Cairo University, Cairo, Egypt
| | | | | | | | | | - Steven G E Marsh
- Anthony Nolan Research Institute and UCL Cancer Institute, Royal Free Campus, Pond Street, London NW3 2QG, UK
| | - Alex Mentzer
- Wellcome Trust Centre for Human Genetics, and Jenner Institute, University of Oxford, Oxford, UK
| | | | - Ashley Moffett
- Department of Pathology, University of Cambridge, Cambridge, UK; Centre for Trophoblast Research, Cambridge, UK
| | | | | | - Annettee Nakimuli
- Department of Obstetrics and Gynecology, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Jorge R Oksenberg
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | | | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Dolores Planelles
- Histocompatibility, Centro de Transfusión de la Comunidad Valenciana, Valencia, Spain
| | | | | | | | - John Trowsdale
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Luciana B Vargas
- Department of Genetics, Universidade Federal do Paraná, Curitiba, Brazil
| | - Jose L Vicario
- Histocompatibility, Centro de Transfusión de la Comunidad de Madrid, Madrid, Spain
| | - Carlos Vilches
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA
| | - Paul J Norman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology, University of Colorado, Denver, CO 80045, United States
| | - Jill A Hollenbach
- Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
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Galarza JM, Barquera R, Álvarez AMT, Hernández Zaragoza DI, Sevilla GP, Tamayo A, Pérez M, Dávila D, Birnberg L, Alonzo VA, Krause J, Grijalva M. Genetic diversity of the HLA system in human populations from the Sierra (Andean), Oriente (Amazonian) and Costa (Coastal) regions of Ecuador. Hum Immunol 2018; 79:639-650. [DOI: 10.1016/j.humimm.2018.06.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 05/23/2018] [Accepted: 06/07/2018] [Indexed: 12/13/2022]
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Karnes JH, Miller MA, White KD, Konvinse KC, Pavlos RK, Redwood AJ, Peter JG, Lehloenya R, Mallal SA, Phillips EJ. Applications of Immunopharmacogenomics: Predicting, Preventing, and Understanding Immune-Mediated Adverse Drug Reactions. Annu Rev Pharmacol Toxicol 2018; 59:463-486. [PMID: 30134124 DOI: 10.1146/annurev-pharmtox-010818-021818] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Adverse drug reactions (ADRs) are a significant health care burden. Immune-mediated adverse drug reactions (IM-ADRs) are responsible for one-fifth of ADRs but contribute a disproportionately high amount of that burden due to their severity. Variation in human leukocyte antigen ( HLA) genes has emerged as a potential preprescription screening strategy for the prevention of previously unpredictable IM-ADRs. Immunopharmacogenomics combines the disciplines of immunogenomics and pharmacogenomics and focuses on the effects of immune-specific variation on drug disposition and IM-ADRs. In this review, we present the latest evidence for HLA associations with IM-ADRs, ongoing research into biological mechanisms of IM-ADRs, and the translation of clinical actionable biomarkers for IM-ADRs, with a focus on T cell-mediated ADRs.
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Affiliation(s)
- Jason H Karnes
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona 85721, USA.,Sarver Heart Center, University of Arizona College of Medicine, Tucson, Arizona 85724, USA.,Division of Pharmacogenomics, Center for Applied Genetics and Genomic Medicine (TCAG2M), Tucson, Arizona 85721, USA
| | - Matthew A Miller
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona 85721, USA
| | - Katie D White
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA;
| | - Katherine C Konvinse
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.,Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | - Rebecca K Pavlos
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Subiaco, Western Australia 6008, Australia.,Institute for Immunology and Infectious Diseases, Murdoch University, Perth, Western Australia 6150, Australia
| | - Alec J Redwood
- Institute for Immunology and Infectious Diseases, Murdoch University, Perth, Western Australia 6150, Australia
| | - Jonathan G Peter
- Division of Allergy and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town 7925, South Africa.,Division of Dermatology, Department of Medicine, University of Cape Town, Cape Town 7925, South Africa
| | - Rannakoe Lehloenya
- Division of Allergy and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town 7925, South Africa
| | - Simon A Mallal
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA; .,Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.,Institute for Immunology and Infectious Diseases, Murdoch University, Perth, Western Australia 6150, Australia
| | - Elizabeth J Phillips
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA; .,Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.,Institute for Immunology and Infectious Diseases, Murdoch University, Perth, Western Australia 6150, Australia
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Tucci S, Vohr SH, McCoy RC, Vernot B, Robinson MR, Barbieri C, Nelson BJ, Fu W, Purnomo GA, Sudoyo H, Eichler EE, Barbujani G, Visscher PM, Akey JM, Green RE. Evolutionary history and adaptation of a human pygmy population of Flores Island, Indonesia. Science 2018; 361:511-516. [PMID: 30072539 PMCID: PMC6709593 DOI: 10.1126/science.aar8486] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 06/22/2018] [Indexed: 12/21/2022]
Abstract
Flores Island, Indonesia, was inhabited by the small-bodied hominin species Homo floresiensis, which has an unknown evolutionary relationship to modern humans. This island is also home to an extant human pygmy population. Here we describe genome-scale single-nucleotide polymorphism data and whole-genome sequences from a contemporary human pygmy population living on Flores near the cave where H. floresiensis was found. The genomes of Flores pygmies reveal a complex history of admixture with Denisovans and Neanderthals but no evidence for gene flow with other archaic hominins. Modern individuals bear the signatures of recent positive selection encompassing the FADS (fatty acid desaturase) gene cluster, likely related to diet, and polygenic selection acting on standing variation that contributed to their short-stature phenotype. Thus, multiple independent instances of hominin insular dwarfism occurred on Flores.
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Affiliation(s)
- Serena Tucci
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute, Princeton University, Princeton, NJ, USA
- Department of Life Sciences and Biotechnologies, University of Ferrara, Ferrara, Italy
| | - Samuel H Vohr
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA
| | - Rajiv C McCoy
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute, Princeton University, Princeton, NJ, USA
| | - Benjamin Vernot
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Matthew R Robinson
- Department of Computational Biology, Génopode, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Génopode, Quatier Sorge, Lausanne, Switzerland
| | - Chiara Barbieri
- Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Jena, Germany
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland
| | - Brad J Nelson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Wenqing Fu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Gludhug A Purnomo
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
| | - Herawati Sudoyo
- Genome Diversity and Diseases Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia
- Department of Medical Biology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Guido Barbujani
- Department of Life Sciences and Biotechnologies, University of Ferrara, Ferrara, Italy
| | - Peter M Visscher
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Joshua M Akey
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute, Princeton University, Princeton, NJ, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA.
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KIR3DL1 alleles and their epistatic interactions with human leukocyte antigen class I influence resistance and susceptibility to HIV-1 acquisition in the Pumwani sex worker cohort. AIDS 2018; 32:841-850. [PMID: 29280757 DOI: 10.1097/qad.0000000000001735] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine the associations of KIR3DL1/S1(3DL1/S1) and its epistatic interactions with human leukocyte antigen class I (HLA-I) alleles with resistance and susceptibility to HIV-1. DESIGN Despite repeated exposure to HIV-1, a subset of women enrolled in the Pumwani sex worker cohort remain HIV uninfected. Previous studies have shown that specific HLA class I and II alleles were associated with this natural immunity. In this study, we investigated the association of 3DL1/S1 and its epistatic interactions with HLA-I, with resistance or susceptibility to HIV-1 acquisition. METHODS We used a sequence-based typing method to genotype 3DL1/S1 of 641 women in this cohort. The association of 3DL1/S1 and its epistatic interactions with HLA-I were analyzed using SPSS statistics software. RESULTS 3DL1041 is enriched in the HIV-1-resistant women [P = 0.009, Pc = 0.0468, odds ratio (OR): 3.359, 95% confidence interval (CI): 1.39-8.32], whereas, 3DL1020 was associated with susceptibility to HIV-1 infection before correction for multiple comparisons (P = 0.029, Pc = 0.0858, OR: 0.316, 95%CI: 0.10-1.04). Epistatic interactions between several 3DL1 alleles and specific HLA-I alleles were observed. Among them the cocarriage of 3DL1041 with Bw4 (P = 1E - 05, Pc = 0.0015, OR: 13.33, 95%CI: 3.43-51.9), or Bw6 (P = 0.008, Pc = 0.272, OR: 3.92, 95%CI: 1.51-10.17), increased the odds of remaining HIV-1 uninfected. Further, 3DL1041+/Bw4+ women who entered the cohort HIV negative remained uninfected (P = 0.032, Pc = 0.0858). Cocarriage of 3DL101501 with C02 : 10 (P = 2.73E - 07, Pc = 7.0954E - 06), B15 : 03 (P = 3.21E - 04, Pc = 0.0042), A24 supertype (P = 8.89E - 04, Pc = 0.0077), or A23 : 01 (P = 0.0036, Pc = 0.0236) was associated with increased susceptibility to seroconversion. CONCLUSION The effects of interactions between 3DL1 and HLA-I alleles on resistance/susceptibility to HIV-1 infection suggest that innate immunity plays an important role in HIV-1 acquisition and should be studied and explored for HIV prevention.
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48
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Nemat-Gorgani N, Hilton HG, Henn BM, Lin M, Gignoux CR, Myrick JW, Werely CJ, Granka JM, Möller M, Hoal EG, Yawata M, Yawata N, Boelen L, Asquith B, Parham P, Norman PJ. Different Selected Mechanisms Attenuated the Inhibitory Interaction of KIR2DL1 with C2 + HLA-C in Two Indigenous Human Populations in Southern Africa. THE JOURNAL OF IMMUNOLOGY 2018; 200:2640-2655. [PMID: 29549179 DOI: 10.4049/jimmunol.1701780] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Accepted: 02/21/2018] [Indexed: 01/03/2023]
Abstract
The functions of human NK cells in defense against pathogens and placental development during reproduction are modulated by interactions of killer cell Ig-like receptors (KIRs) with HLA-A, -B and -C class I ligands. Both receptors and ligands are highly polymorphic and exhibit extensive differences between human populations. Indigenous to southern Africa are the KhoeSan, the most ancient group of modern human populations, who have highest genomic diversity worldwide. We studied two KhoeSan populations, the Nama pastoralists and the ≠Khomani San hunter-gatherers. Comprehensive next-generation sequence analysis of HLA-A, -B, and -C and all KIR genes identified 248 different KIR and 137 HLA class I, which assort into ∼200 haplotypes for each gene family. All 74 Nama and 78 ≠Khomani San studied have different genotypes. Numerous novel KIR alleles were identified, including three arising by intergenic recombination. On average, KhoeSan individuals have seven to eight pairs of interacting KIR and HLA class I ligands, the highest diversity and divergence of polymorphic NK cell receptors and ligands observed to date. In this context of high genetic diversity, both the Nama and the ≠Khomani San have an unusually conserved, centromeric KIR haplotype that has arisen to high frequency and is different in the two KhoeSan populations. Distinguishing these haplotypes are independent mutations in KIR2DL1, which both prevent KIR2DL1 from functioning as an inhibitory receptor for C2+ HLA-C. The relatively high frequency of C2+ HLA-C in the Nama and the ≠Khomani San appears to have led to natural selection against strong inhibitory C2-specific KIR.
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Affiliation(s)
- Neda Nemat-Gorgani
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Hugo G Hilton
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Meng Lin
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado, Denver, CO 80045.,Department of Biostatistics, University of Colorado, Denver, CO 80045
| | - Justin W Myrick
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794
| | - Cedric J Werely
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Julie M Granka
- Department of Biology, Stanford University, Stanford, CA 94305
| | - Marlo Möller
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Eileen G Hoal
- South African Medical Research Council Centre for Tuberculosis Research, Department of Science and Technology/National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa
| | - Makoto Yawata
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, National University of Singapore, Singapore 119077, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
| | - Nobuyo Yawata
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.,Section of Ophthalmology, Department of Medicine, Fukuoka Dental College, Fukuoka 814-0193, Japan; and
| | - Lies Boelen
- Section of Immunology, Imperial College London, London SW7 2BX, United Kingdom
| | - Becca Asquith
- Section of Immunology, Imperial College London, London SW7 2BX, United Kingdom
| | - Peter Parham
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305.,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
| | - Paul J Norman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305; .,Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305
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Parham P, Guethlein LA. Genetics of Natural Killer Cells in Human Health, Disease, and Survival. Annu Rev Immunol 2018; 36:519-548. [PMID: 29394121 DOI: 10.1146/annurev-immunol-042617-053149] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Natural killer (NK) cells have vital functions in human immunity and reproduction. In the innate and adaptive immune responses to infection, particularly by viruses, NK cells respond by secreting inflammatory cytokines and killing infected cells. In reproduction, NK cells are critical for genesis of the placenta, the organ that controls the supply of oxygen and nutrients to the growing fetus. Controlling NK cell functions are interactions of HLA class I with inhibitory NK cell receptors. First evolved was the conserved interaction of HLA-E with CD94:NKG2A; later established were diverse interactions of HLA-A, -B, and -C with killer cell immunoglobulin-like receptors. Characterizing the latter interactions is rapid evolution, which distinguishes human populations and all species of higher primate. Driving this evolution are the different and competing selections imposed by pathogens on NK cell-mediated immunity and by the constraints of human reproduction on NK cell-mediated placentation. Promoting rapid evolution is independent segregation of polymorphic receptors and ligands throughout human populations.
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Affiliation(s)
- Peter Parham
- Department of Structural Biology and Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, California 94305, USA; ,
| | - Lisbeth A Guethlein
- Department of Structural Biology and Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, California 94305, USA; ,
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50
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Prakash S, Ranjan P, Ghoshal U, Agrawal S. KIR-like activating natural killer cell receptors and their association with complicated malaria in north India. Acta Trop 2018; 178:55-60. [PMID: 29111138 DOI: 10.1016/j.actatropica.2017.10.026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 10/19/2017] [Accepted: 10/26/2017] [Indexed: 02/01/2023]
Abstract
Killer immunoglobulin-like receptors (KIRs) genomic regions have been suggested to influence malaria pathogenesis and infection susceptibility. KIRs are known as activating natural killer (NK) cell receptors, which upon binding to their corresponding human leukocyte antigen (HLA) ligands cause lysis of any infected cell. We have examined the potential association of KIR genes with complicated malaria (CM) among north Indians in this study and further evaluated the KIR receptor-HLA ligand association on the severity of the disease considering the uncomplicated malaria (UCM) subjects as control. Molecular profiling of KIR and HLA was carried out using the PCR-SSP method. Susceptible association was found for individuals possessing KIR2DS2 (OR=1.76, p-value=0.0390), KIR2DL1 (OR=2.87, p-value=0.0005) and KIR2DL3 (OR=2.74, p-value=0.0011) genes with CM. This was supported by the strong linkage disequilibrium observed for 2DS2-2DL2 (D́=0.87, r2=0.54) with CM. Whereas the receptor-ligand association has revealed risk association against KIR2DS2-HLAC1 (OR=2.08, p-value=0.0229), KIR2DL3-HLAC1 (OR=1.79, p-value=0.0301), and KIR2DL1-HLAC2 (OR=2.10, p-value=0.0175) combinations for complicated malaria. The frequency of different KIR genes are more or less similar to that observed in African population showing not much genetic diversity at KIR level in context to malarial infection. In conclusion, our data indicates KIR gene loci differentially influenced the malarial outcome in north Indians and in particular the KIR2DS2 gene appeared to be associated with disease severity.
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