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Loh L, Saunders PM, Faoro C, Font-Porterias N, Nemat-Gorgani N, Harrison GF, Sadeeq S, Hensen L, Wong SC, Widjaja J, Clemens EB, Zhu S, Kichula KM, Tao S, Zhu F, Montero-Martin G, Fernandez-Vina M, Guethlein LA, Vivian JP, Davies J, Mentzer AJ, Oppenheimer SJ, Pomat W, Ioannidis AG, Barberena-Jonas C, Moreno-Estrada A, Miller A, Parham P, Rossjohn J, Tong SYC, Kedzierska K, Brooks AG, Norman PJ. An archaic HLA class I receptor allele diversifies natural killer cell-driven immunity in First Nations peoples of Oceania. Cell 2024:S0092-8674(24)01153-X. [PMID: 39476840 DOI: 10.1016/j.cell.2024.10.005] [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: 06/19/2023] [Revised: 05/24/2024] [Accepted: 10/03/2024] [Indexed: 11/02/2024]
Abstract
Genetic variation in host immunity impacts the disproportionate burden of infectious diseases that can be experienced by First Nations peoples. Polymorphic human leukocyte antigen (HLA) class I and killer cell immunoglobulin-like receptors (KIRs) are key regulators of natural killer (NK) cells, which mediate early infection control. How this variation impacts their responses across populations is unclear. We show that HLA-A∗24:02 became the dominant ligand for inhibitory KIR3DL1 in First Nations peoples across Oceania, through positive natural selection. We identify KIR3DL1∗114, widespread across and unique to Oceania, as an allele lineage derived from archaic humans. KIR3DL1∗114+NK cells from First Nations Australian donors are inhibited through binding HLA-A∗24:02. The KIR3DL1∗114 lineage is defined by phenylalanine at residue 166. Structural and binding studies show phenylalanine 166 forms multiple unique contacts with HLA-peptide complexes, increasing both affinity and specificity. Accordingly, assessing immunogenetic variation and the functional implications for immunity are fundamental toward understanding population-based disease associations.
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Affiliation(s)
- Liyen Loh
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia; Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Philippa M Saunders
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Camilla Faoro
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Neus Font-Porterias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Neda Nemat-Gorgani
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Genelle F Harrison
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Suraju Sadeeq
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Luca Hensen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Shu Cheng Wong
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Jacqueline Widjaja
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - E Bridie Clemens
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia
| | - Shiying Zhu
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Katherine M Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Sudan Tao
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA; Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Faming Zhu
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Gonzalo Montero-Martin
- Stanford Blood Centre, Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Marcelo Fernandez-Vina
- Stanford Blood Centre, Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Lisbeth A Guethlein
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Julian P Vivian
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Jane Davies
- Menzies School of Health Research, Charles Darwin University, Darwin, NT 0810, Australia; Department of Infectious Diseases, Royal Darwin Hospital, Casuarina, NT 0810, Australia
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK
| | - Stephen J Oppenheimer
- Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford, Oxford OX3 7LF, UK
| | - William Pomat
- Papua New Guinea Institute of Medical Research, Post Office Box 60, Goroka, Papua New Guinea
| | | | - Carmina Barberena-Jonas
- Advanced Genomics Unit, Center for Research and Advanced Studies (CINVESTAV), Irapuato 36821, Mexico
| | - Andrés Moreno-Estrada
- Advanced Genomics Unit, Center for Research and Advanced Studies (CINVESTAV), Irapuato 36821, Mexico
| | - Adrian Miller
- Jawun Research Centre, Central Queensland University, Cairns, QLD 4870, Australia
| | - Peter Parham
- Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Jamie Rossjohn
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia; Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, UK.
| | - Steven Y C Tong
- Victorian Infectious Diseases Service, The Royal Melbourne Hospital, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC 3000, Australia; Department of Infectious Diseases, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC 3000, Australia.
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
| | - Andrew G Brooks
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.
| | - Paul J Norman
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO 80045, USA; Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA; Department of Structural Biology and Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.
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2
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Norul Hajar CG, Zefarina Z, Md Riffin NS, Mohammad THT, Hassan MN, Syed-Hassan SNRK, Aziz MY, Nur Haslindawaty AR, Chambers GK, Edinur HA. Human Leukocyte Antigen-G Gene Polymorphism in Peninsular Malaysia: A Preliminary Report. Genet Test Mol Biomarkers 2024; 28:393-401. [PMID: 39279581 DOI: 10.1089/gtmb.2023.0492] [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] [Indexed: 09/18/2024] Open
Abstract
Introduction: Expression of the nonclassical human leukocyte antigen (HLA)-G gene is upregulated in placenta during pregnancy. In other cells, HLA-G is upregulated during parasitic infections and allergic reactions. Polymorphism at the HLA-G gene locus has been reported for many populations, but so far not for any ethnic groups in Malaysia. In this survey, we screened for genetic variation in HLA-G genes from representative Malay, Chinese, and Indian individuals living in Peninsular Malaysia. Materials and Methods: Blood samples were obtained with informed consent, and ethnicity classes were assigned based on self-declared pedigree information. Exons 2, 3, and 4 of the HLA-G gene were amplified by polymerase chain reaction and subjected to Sanger sequencing. Results: The most common genotype in Malays and Indians was found to be HLA-G*01:01:01:01/01:01:01:01 with frequencies of 0.206 and 0.167, respectively, whereas the HLA-G*01:01:03:01/01:01:01:01 genotype was the one most frequently observed in Chinese (0.221). Based on this study, HLA-G*01:01:01:01 (0.427-0.448) is the most frequent HLA-G allele in the all three ethnic groups. In contrast, HLA-G*01:01:02:01 (0.186) was observed as the second most frequent HLA-G allele in Malays and HLA-G*01:04:01 in Chinese and Indians, (0.188-0.198, respectively). Several minor HLA-G alleles were detected at low frequency in Malays, Chinese, or Indians (HLA-G*01:01:05, 01:01:09, 01:04:02, and 01:04:03). These have only rarely, if ever, been reported in other population groups. Subsequent statistical analysis including using principal coordinate data mapping showed the Malays, Chinese, and Indians are distinct but quite closely related to one another as compared with other population groups from across Europe and Africa. Conclusion: The HLA-G population data collected in this study showed that the ancestrally unrelated Malays, Chinese, and Indians are genetically distinct. This new database provides a foundation for further studies to capture HLA-G allelic diversity in uncharacterized populations of Malaysia and for future attempts to identify their roles in disease resistance and susceptibility.
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Affiliation(s)
- Che Ghazali Norul Hajar
- School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Zulkafli Zefarina
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | | | - Mohd Nazri Hassan
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Mohd Yusmaidie Aziz
- Integrative Medicine Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, Malaysia
| | - Abd Rashid Nur Haslindawaty
- School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | - Hisham Atan Edinur
- School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
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3
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Tao S, You X, Norman PJ, Kichula KM, Dong L, Chen N, He J, Zhang W, Zhu F. Analysis of KIR and HLA Polymorphism in Chinese Individuals With COVID-19. HLA 2024; 104:e15715. [PMID: 39364548 PMCID: PMC11458138 DOI: 10.1111/tan.15715] [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: 07/03/2024] [Revised: 09/03/2024] [Accepted: 09/17/2024] [Indexed: 10/05/2024]
Abstract
Killer-cell immunoglobulin-like receptor (KIR) interactions with HLA class I have crucial roles in modulating NK cell function in response to viral infections. To explore the correlation between KIR/HLA and susceptibility to SARS-CoV-2 infection, we analysed polymorphism of KIR genes, haplotypes, HLA allotypes, and the interplay between KIR and HLA in individuals diagnosed with COVID-19. Compared to a population control group, we observed a significantly increased frequency of KIR3DL3*00802 in the COVID-19 group. When encoded by the HLA-B gene, the frequency of HLA-Bw4, a ligand for KIR3DL1, was at lower frequency in the COVID-19 group. Additionally, significantly elevated frequencies of KIR-Bx3, KIR3DL3*00301, 3DL3*048, and C1+HLA-C were identified in the COVID-19 group before multiple test correction, suggesting associations with susceptibility to SARS-CoV-2 infection. Our findings indicate that the KIR3DL3*00802 allele may be a high-risk factor for SARS-CoV-2 infection, while Bw4 encoded by HLA-B gene may confer protective effects against the infection.
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Affiliation(s)
- Sudan Tao
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Xuan You
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Paul J. Norman
- Department of Biomedical Informatics and Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Katherine M. Kichula
- Department of Biomedical Informatics and Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
| | - Lina Dong
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Nanying Chen
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Ji He
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Wei Zhang
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
| | - Faming Zhu
- Blood Center of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China
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4
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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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5
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Tao S, You X, Wang J, Zhang W, He J, Zhu F. Determination for KIR genotype and allele copy number via real-time quantitative PCR method. Immunogenetics 2024; 76:137-143. [PMID: 38206349 DOI: 10.1007/s00251-023-01331-7] [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: 08/04/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024]
Abstract
Killer cell immunoglobulin-like receptor (KIR) and human leukocyte antigen (HLA) play crucial roles in regulating NK cell activity. Here, we report a real-time quantitative PCR (qPCR) to genotype all KIR genes and their copy numbers simultaneously. With 18 pairs of locus-specific primers, we identified KIR genes by Ct values and determined KIR copy number using the 2-∆Ct method. Haplotypes were assigned based on KIR gene copy numbers. The real-time qPCR results were consistent with the NGS method, except for one sample with KIR2DL5 discrepancy. qPCR is a multiplex method that can identify KIR copy number, which helps obtain a relatively accurate haplotype structure, facilitating increased KIR research in laboratories where NGS or other high-resolution methods are not available.
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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
| | - Xuan You
- Blood Center of Zhejiang Province, Key Laboratory of Blood Safety Research of Zhejiang Province, Hangzhou, Zhejiang, People's Republic of China
| | - Jielin Wang
- 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
| | - Ji He
- 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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6
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Al Hadra B, Lukanov T, Mihaylova A, Naumova E. High-resolution characterization of KIR genes polymorphism in healthy subjects from the Bulgarian population-A pilot study. HLA 2024; 103:e15341. [PMID: 38180282 DOI: 10.1111/tan.15341] [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: 08/11/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/06/2024]
Abstract
Although killer-cell immunoglobulin-like receptor (KIR) gene content has been widely studied in health and disease, with the advancement of next-generation sequencing (NGS) technology the high-resolution characterization of this complex gene region has become achievable. KIR allele-level diversity has lately been described across human populations. The present study aimed to analyze for the first time the allele-level polymorphism of nine KIR genes in 155 healthy, unrelated individuals from the Bulgarian population by applying NGS. The highest degree of polymorphism was detected for the KIR3DL3 gene with 40 observed alleles at five-digit resolution in total, 22 of which were common. On the other hand, the KIR3DS1 gene was found to have the lowest degree of polymorphism among the studied KIR genes with one common allele: KIR3DS1*01301 (31.6%). To better understand KIR allelic associations and patterns in Bulgarians, we have estimated the pairwise linkage disequilibrium (LD) for the 10 KIR loci, where KIR2DL3*00501 allele was found in strong LD with KIR2DL1*00101 (D' = 1.00, R2 = 0.742). This is the first study investigating KIR polymorphism at the allele level in a population from the South-East European region. Considering the effect of the populationally shaped KIR allelic polymorphism on NK cell function, this data could lead to a better understanding of the genetic heterogeneity of this region and can be carried into clinical practice by improvement of the strategies taken for NK-mediated diseases.
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Affiliation(s)
- Bushra Al Hadra
- Clinic of Clinical Immunology and Stem Cell Bank, Alexandrovska University Hospital, Sofia, Bulgaria
- Department of Clinical Immunology, Medical University, Sofia, Bulgaria
| | - Tsvetelin Lukanov
- Clinic of Clinical Immunology and Stem Cell Bank, Alexandrovska University Hospital, Sofia, Bulgaria
- Department of Clinical Immunology, Medical University, Sofia, Bulgaria
| | - Anastasiya Mihaylova
- Clinic of Clinical Immunology and Stem Cell Bank, Alexandrovska University Hospital, Sofia, Bulgaria
| | - Elissaveta Naumova
- Clinic of Clinical Immunology and Stem Cell Bank, Alexandrovska University Hospital, Sofia, Bulgaria
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7
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Farias TDJ, 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, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Silvia Brugiapaglia
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy
| | - Susanna Croci
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Paola Magistroni
- Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, Turin, Italy
| | - Claudia Curcio
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy
| | - Kristina Zguro
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Chiara Fallerini
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Francesca Fava
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Francesco Pettini
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Katherine M Kichula
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas R Pollock
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Neus Font-Porterias
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - William H Palmer
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Wesley M Marin
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
| | - Margherita Baldassarri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Mirella Bruttini
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Jill A Hollenbach
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, USA
| | - Audrey E Hendricks
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Mathematical and Statistical Sciences, and Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Ilaria Meloni
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Francesco Novelli
- Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy
- Molecular Biotechnology Center, University of Turin, Turin, Italy
| | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Simone Furini
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Paul J Norman
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Antonio Amoroso
- Immunogenetics and Transplant Biology, Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
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8
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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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9
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Kevin-Tey WF, Wen WX, Bee PC, Eng HS, Ho KW, Tan SM, Anuar NA, Pung YF, Zain SM. KIR genotype and haplotype frequencies in the multi-ethnic population of Malaysia. Hum Immunol 2023; 84:172-185. [PMID: 36517321 DOI: 10.1016/j.humimm.2022.11.006] [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: 05/30/2022] [Revised: 11/10/2022] [Accepted: 11/24/2022] [Indexed: 12/14/2022]
Abstract
Killer cell immunoglobulin-like receptors (KIR) genotype and haplotype frequencies have been reported to vary distinctly between populations, which in turn contributes to variation in the alloreactivity of natural killer (NK) cells. Utilizing the diverse KIR genes to identify suitable transplant donors would prove challenging in multi-ethnic countries, even more in resource-limited countries where KIR genotyping has not been established. In this study, we determined the KIR genotypes from 124 unrelated Malaysians consisting of the Malays, Chinese, Indians, and aboriginal people through polymerase chain reaction sequence-specific primer (PCR-SSP) genotyping and employing an expectation-maximization (EM) algorithm to assign haplotypes based on pre-established reference haplotypes. A total of 27 distinct KIR haplotypes were discerned with higher frequencies of haplotype A (55.2%) than haplotype B (44.8%). The most frequent haplotypes were cA01:tA01 (55.2%), cB01:tB01 (18.1%), and cB02:tA01 (13.3%), while the least frequent haplotypes were cB03:tB01 (1.2%), cB04:tB03 (0.4%), and cB03:tA01 (0.4%). Several haplotypes were identified to be unique to a specific ethnic group. The genotype with the highest frequency was genotype AB (71.8%), followed by AA (19.4%), and BB (8.9%). The Indians exhibited the lowest genotype AA but the highest genotype BB, whereas genotype BB was absent in the aboriginal people. Despite the limitations, the genotype and haplotypes in the Malaysian population were successfully highlighted. The identification of ethnic-specific KIR genotypes and haplotypes provides the first step to utilizing KIR in identifying suitable transplant donors to further improve the transplant outcome in the Malaysian population.
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Affiliation(s)
- Wen Fei Kevin-Tey
- Department of Pharmacology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Wei Xiong Wen
- Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Ping Chong Bee
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Hooi Sian Eng
- Division of Nephrology, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Kim Wah Ho
- Department of Haematology, Hospital Ampang, Kuala Lumpur, Malaysia
| | - Sen Mui Tan
- Department of Haematology, Hospital Ampang, Kuala Lumpur, Malaysia
| | - Nur Adila Anuar
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yuh Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, Semenyih, Malaysia
| | - Shamsul Mohd Zain
- Department of Pharmacology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
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10
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Hajar CGN, Md Akhir S, Zefarina Z, Riffin NSM, Tuan Mohammad TH, Hassan MN, Aziz MY, Pati S, Chambers GK, Kari ZA, Edinur HA, Che Mat NF. Distribution of 22 Single Nucleotide Polymorphisms in 13 Cytokine Genes in Malays, Chinese, and Indians in Peninsular Malaysia. Genet Test Mol Biomarkers 2022; 26:449-456. [PMID: 36166739 DOI: 10.1089/gtmb.2022.0107] [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] [Indexed: 11/12/2022] Open
Abstract
Introduction: Cytokines are cell signaling glycoproteins that are particularly important in immunity and inflammatory responses. Therefore, variations, such as single nucleotide polymorphisms (SNPs), in genes encoding for cytokines may have important consequences for their roles in health. Materials and Methods: A total of 222 unrelated, healthy, and un-admixed Malays (n = 97), Chinese (n = 77), and Indians (n = 48) with a median age of 30 years old (range 21-50) were typed for 22 cytokine gene SNPs: IL-1α -889 T/C, IL-1β (-511 T/C, +3962 T/C), IL-1R pst1 1970 T/C, IL-1RA mspa1 11100 T/C, IL-4Rα +1902 G/A, IL-12 - 1188 C/A, IFN-γ +874 A/T, TGF-β (cdn 10 C/T, cdn 25 G/C), TNF-α (-308 A/G, -238 A/G) IL-2 (+166 G/T, -330 T/G), IL-4 (-1098 T/G, -590 T/C, -33 T/C), IL-6 (-174 C/G, nt565 G/A), and IL-10 (-1082 G/A, -819 C/T, -592 A/C). This involved using well-established polymerase chain reaction procedures with sequence-specific primers and restriction fragment length polymorphism methods. Results: The majority of the screened cytokine gene SNPs are polymorphic in all three ethnicities. Exceptions include TGF-β cdn 25 (G/C), IL-1β +3962 (T/C), and TNF-α -238 (A/G), which were all observed to be monomorphic in Malays, Chinese and Indians. Many of the analyzed cytokine gene SNP genotypes deviated from Hardy-Weinberg equilibrium and the three ethnic study groups were all well-separated from reference Asian, African and European populations in a principal component analysis plot. Conclusion: We successfully typed 22 SNPs in 13 cytokine genes from genetic material collected from unrelated and un-admixed Malay, Chinese and Indian individuals in Peninsular Malaysia. These new cytokine gene population datasets reveal interesting contrasts with other populations.
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Affiliation(s)
- Che Ghazali Norul Hajar
- Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Suhaida Md Akhir
- Biomedicine Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Zulkafli Zefarina
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | | | | | - Mohd Nazri Hassan
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Mohd Yusmaidie Aziz
- Integrative Medicine Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | | | | | - Zulhisyam Abdul Kari
- Faculty of Agro Based Industry, Universiti Malaysia Kelantan, Kelantan, Malaysia
| | - Hisham Atan Edinur
- Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
| | - Nor Fazila Che Mat
- Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kelantan, Malaysia
- Biomedicine Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
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11
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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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12
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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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13
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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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14
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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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15
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Lokki AI, Heikkinen-Eloranta J. Pregnancy induced TMA in severe preeclampsia results from complement-mediated thromboinflammation. Hum Immunol 2021; 82:371-378. [PMID: 33820656 DOI: 10.1016/j.humimm.2021.03.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022]
Abstract
Preeclampsia is a multifactorial vascular disease unique to human pregnancy. While genetic and antiangiogenic factors are important contributors to preeclampsia susceptibility, recent studies have shown that dysregulation and/or over-activation of the complement system has an integral role in disease etiology. Furthermore, the role of the coagulation cascade may be underappreciated in the development of the disease. Traditionally, for research purposes, the pool of preeclampsia cases has been divided into non-severe and severe disease depending on the onset and severity of the symptoms. However, of particular interest are a small but important minority of cases that present with symptoms likening to those of hemolysis, elevated liver enzymes and low platelets syndrome, atypical hemolytic uremic syndrome, or thrombotic thrombocytopenic purpura, all thrombotic microangiopathy (TMA) diseases, with the hallmark mechanisms of endothelial dysfunction and aberrant activation of complement and coagulation cascades. We therefore propose a third class, severe TMA-like preeclampsia to be included in the categorization of preeclampsia patients. Identifying these patients would target research, diagnostic differentiation, and novel treatment options to the subclass of patients with life-threatening disease that are most likely to benefit from next-generation drug development.
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Affiliation(s)
- A Inkeri Lokki
- Bacteriology and Immunology, University of Helsinki and Helsinki University Hospital, Translational Immunology Research Program, Research Programs' Unit, University of Helsinki, Helsinki, Finland; Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
| | - Jenni Heikkinen-Eloranta
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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