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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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2
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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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3
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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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He Y, Huang X, Zhang J, Liao J, Huang H, He Y, Gao M, Liao Y, Xiong Z. Decreased Peripheral Blood Lymphocyte Count Predicts Poor Treatment Response in Peritoneal Dialysis-Associated Peritonitis. J Inflamm Res 2023; 16:5327-5338. [PMID: 38026234 PMCID: PMC10658940 DOI: 10.2147/jir.s438674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/10/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Peripheral blood lymphocyte counts is a pivotal parameter in assessing the host's immune response during maladies and the equilibrium of the immune system which has been found to correlate with various diseases progression and prognosis. However, there was no study on patients with peritoneal dialysis-associated peritonitis (PDAP). We sought to investigate the prognostic value of baseline peripheral blood lymphocyte count in PDAP patients. Patients and methods This retrospective study analyzed data from 286 PDAP patients over nine years. Episodes were categorized according to the tertiles of peripheral blood lymphocyte counts (Very Low Lymphocyte Count (VLLC) Group, <0.72×106/L; Low Lymphocyte Count (LLC) Group, 0.72-1.11×106/L; Normal Lymphocyte Count (NLC) Group, ≥ 1.11×106/L). Demographic, laboratory, and infection-related variables were analyzed. Cox regression and generalized estimating equation (GEE) models were used to estimate the association between lymphocyte counts and PDAP treatment failure, which included PD catheter removal and death. Results After adjusting for other potential predictors, decreased lymphocyte counts exhibited an incremental relationship with the risk of treatment failure. The VLLC group indicated a 270% (95% CI, 1.168-6.247, P=0.020) and 273% (95% CI, 1.028-7.269, P=0.044) increased venture of treatment failure in Cox regression and GEE analyses, respectively, compared with the NLC group. As a continuous variable, the restricted cubic spline showed a linear negative correlation between lymphocyte counts and the treatment failure risk (P for overall = 0.026). The multivariate model C (combined lymphocyte count with baseline age, sex, dialysis age, Charlson Comorbidity index (CCI), etiology of kidney failure, hemoglobin, albumin, total bilirubin and infection type) showed an area under the curve of 0.824 (95% CI, 0.767-0.881, P=0.001) for the prediction of treatment failure. Conclusion Lower lymphocyte counts are linked to increased PDAP treatment failure risk. This highlights lymphocyte count's potential as a prognostic indicator for PDAP.
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Affiliation(s)
- YuJian He
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
- Renal Division, PKU-Shenzhen Clinical Institute of Shantou University Medical College, Shenzhen, People’s Republic of China
| | - XiaoYan Huang
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Jingwen Zhang
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Jinlan Liao
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Huie Huang
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Yan He
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Min Gao
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Yumei Liao
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
| | - Zibo Xiong
- Renal Division, Peking University Shenzhen Hospital, Shenzhen, People’s Republic of China
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5
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Ameen R, Titus R, Geo JA, Al Shemmari S, Geraghty DE, Pyo CW, Askar M. KIR genotype and haplotype repertoire in Kuwaiti healthy donors, hematopoietic cell transplant recipients and healthy family members. HLA 2023; 102:179-191. [PMID: 36960942 DOI: 10.1111/tan.15029] [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: 10/06/2022] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/25/2023]
Abstract
The gene complex located on chromosome 19q13.4 encodes the Killer-cell Immunoglobulin-like Receptors (KIRs), which exhibit remarkable polymorphism in both gene content and sequences. Further, the repertoire of KIR genes varies within and between populations, creating a diverse pool of KIR genotypes. This study was carried out to characterize KIR genotypes and haplotypes among 379 Arab Kuwaiti individuals including 60 subjects from 20 trio families, 49 hematopoietic cell transplantation (HCT) recipients and 270 healthy Kuwaiti volunteer HCT donors. KIR Genotyping was performed by a combination of reverse sequence specific oligonucleotide probes (rSSO) and/or Real Time PCR. The frequencies of KIR genes in 270 healthy Kuwaiti volunteer donors were compared to previously reported frequencies in other populations. In addition, we compared the differences in KIR repertoire of patients and healthy donors to investigate the reproducibility of previously reported significant differences between patients with hematological malignancies and healthy donors. The observed frequencies in our cohort volunteer HCT donors was comparable to those reported in neighboring Arab populations. The activating genes KIR2DS1, KIR2DS5 and KIR3DS1 and the inhibitory gene KIR2DL5 were significantly more frequent in patients compared to healthy donors, however, none of the previously reported differences were reproducible in our Kuwaiti cohort. This report is the first description of KIR gene carrier frequency and haplotype characterization in a fairly large cohort of the Kuwaiti population, which may have implications in KIR based HCT donor selection strategies.
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Affiliation(s)
- Reem Ameen
- Department of Medical Laboratory Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Roshni Titus
- Department of Medical Laboratory Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Jeethu Anu Geo
- Department of Medical Laboratory Sciences, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Salem Al Shemmari
- Department of Medicine, Health Sciences Center, Kuwait University, Jabriya, Kuwait
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Chul-Woo Pyo
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Medhat Askar
- College of Medicine, Qatar University, Doha, Qatar
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6
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Li YM, Li YX, Hu XZ, Li DY, An L, Yuan ZY, Liu ZL, Du KM, Zheng ZZ. Exploration of KIR genes and hematological-related diseases in Chinese Han population. Sci Rep 2023; 13:9773. [PMID: 37328612 PMCID: PMC10276034 DOI: 10.1038/s41598-023-36882-y] [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: 11/15/2022] [Accepted: 06/12/2023] [Indexed: 06/18/2023] Open
Abstract
The function of natural killer (NK) cells has previously been implicated in hematopoietic-related diseases. Killer immunoglobulin-like receptors (KIR) play an important role in NK cells after hematopoietic stem cell transplantation. To explore the immunogenetic predisposition of hematological-related diseases, herein, a multi-center retrospective study in China was conducted, analyzing and comparing 2519 patients with hematopathy (mainly, acute lymphoblastic leukemia, acute myeloid leukemia, aplastic anemia, and myelodysplastic syndrome) to 18,108 individuals without known pathology. Genotyping was performed by polymerase chain reaction with specific sequence primers (PCR-SSP). As a result, we discovered four genes including KIR2DL5 (OR: 0.74, 95% CI 0.59-0.93; Pc = 0.0405), 2DS1 (OR: 0.74, 95% CI 0.59-0.93; Pc = 0.0405), 2DS3 (OR: 0.58, 95% CI 0.41-0.81; Pc = 0.0180), and 3DS1 (OR: 0.74, 95% CI 0.58-0.94; Pc = 0.0405) to be protective factors that significantly reduce the risk of aplastic anemia. Our findings offer new approaches to immunotherapy for hematological-related diseases. As these therapies mature, they are promising to be used alone or in combination with current treatments to help to make blood disorders a manageable disease.
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Affiliation(s)
- Ye-Mo Li
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | - Yu-Xia Li
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | - Xiao-Zhuang Hu
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | - Dai-Yang Li
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | - Lin An
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | - Zhi-Yang Yuan
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
| | | | - Ke-Ming Du
- Shanghai Tissuebank Biotechnology Co, Ltd, Shanghai, China
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Hosseini Nami A, Kabiri M, Zafarghandi Motlagh F, Shirzadeh T, Fakhari N, Karimi A, Bagherian H, Jamali M, Younesikhah S, Shadman S, Zeinali R, Zeinali S. Genetic attributes of Iranian cystic fibrosis patients: the diagnostic efficiency of CFTR mutations in over a decade. Front Genet 2023; 14:1140034. [PMID: 37274793 PMCID: PMC10234504 DOI: 10.3389/fgene.2023.1140034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 04/10/2023] [Indexed: 06/07/2023] Open
Abstract
Objectives: Cystic fibrosis (CF) is the most prevalent autosomal recessive disorder among Caucasians. Mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene cause this pathology. We, therefore, aimed to describe the CFTR mutations and their geographical distribution in Iran. Method: The mutation spectrum for 87 families from all Iranian ethnicities was collected using ARMS PCR, Sanger sequencing, and MLPA. Results: Mutations were identified in 95.8% of cases. This dataset revealed that the most frequent mutations in the Iranian population were F508del, c.1000C>T, c.1397C>G, c.1911delG, and c.1393-1G>A. In addition, we found weak evidence for Turkey being the possible geographical pathway for introducing CFTR mutations into Iran by mapping the frequency of CFTR mutations. Conclusion: Our descriptive results will facilitate the genetic detection and prenatal diagnosis of cystic fibrosis within the Iranian population.
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Affiliation(s)
- Amin Hosseini Nami
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Mahboubeh Kabiri
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
| | | | - Tina Shirzadeh
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Negar Fakhari
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Ali Karimi
- Max Planck Institute for Brain Research, Frankfurt am Main, Germany
| | - Hamideh Bagherian
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Mojdeh Jamali
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Shahrzad Younesikhah
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Sara Shadman
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
| | - Razie Zeinali
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
- Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Sirous Zeinali
- Dr. Zeinali’s Medical Genetics Laboratory, Kawsar Human Genetics Research Center, Tehran, Iran
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8
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Legrand N, Salameh P, Jullien M, Chevallier P, Ferron E, David G, Devilder MC, Willem C, Gendzekhadze K, Parham P, Retière C, Gagne K. Non-Expressed Donor KIR3DL1 Alleles May Represent a Risk Factor for Relapse after T-Replete Haploidentical Hematopoietic Stem Cell Transplantation. Cancers (Basel) 2023; 15:2754. [PMID: 37345091 DOI: 10.3390/cancers15102754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/03/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
KIR3DL1 alleles are expressed at different levels on the natural killer (NK) cell surface. In particular, the non-expressed KIR3DL1*004 allele appears to be common in Caucasian populations. However, the overall distribution of non-expressed KIR3DL1 alleles and their clinical relevance after T-replete haploidentical hematopoietic stem cell transplantation (hHSCT) with post-transplant cyclophosphamide remain poorly documented in European populations. In a cohort of French blood donors (N = 278), we compared the distribution of expressed and non-expressed KIR3DL1 alleles using next-generation sequencing (NGS) technology combined with multi-color flow cytometry. We confirmed the predominance of the non-expressed KIR3DL1*004 allele. Using allele-specific constructs, the phenotype and function of the uncommon KIR3DL1*019 allotype were characterized using the Jurkat T cell line and NKL transfectants. Although poorly expressed on the NK cell surface, KIR3DL1*019 is retained within NK cells, where it induces missing self-recognition of the Bw4 epitope. Transposing our in vitro observations to a cohort of hHSCT patients (N = 186) led us to observe that non-expressed KIR3DL1 HSC grafts increased the incidence of relapse in patients with myeloid diseases. Non-expressed KIR3DL1 alleles could, therefore, influence the outcome of hHSCT.
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Affiliation(s)
- Nolwenn Legrand
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Perla Salameh
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Maxime Jullien
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Patrice Chevallier
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- Department of Hematology Clinic, Nantes University Hospital, F-44000 Nantes, France
| | - Enora Ferron
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Gaelle David
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Marie-Claire Devilder
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Catherine Willem
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Ketevan Gendzekhadze
- Department of Hematology and HCT, HLA Laboratory, City of Hope, Medical Center, Duarte, CA 91010, USA
| | - Peter Parham
- Department of Structural Biology and Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christelle Retière
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
| | - Katia Gagne
- Etablissement Français du Sang (EFS), F-44011 Nantes, France
- Institut National de la Santé et de la Recherche Médicale (INSERM) UMR1307, CNRS UMR 6075, Centre de Recherche en Cancérologie et Immunologie Integrée Nantes Angers (CRCI2NA), Team 12, F-44000 Nantes, France
- LabEx IGO "Immunotherapy, Graft, Oncology", F-44000 Nantes, France
- LabEx Transplantex, Université de Strasbourg, F-67000 Strasbourg, France
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9
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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: 12] [Impact Index Per Article: 6.0] [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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10
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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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11
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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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12
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Mohammadhosayni M, Aslani S, Norouzi M, Jazayeri SM, Ahmadi M, Ghazanfari T. A systematic review and meta-analysis of killer-cell immunoglobulin-like receptor (KIR) family genes association with risk of hepatitis B virus (HBV). GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2021.101096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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13
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Muriuki BM, Forconi CS, Oluoch PO, Bailey JA, Ghansah A, Moormann AM, Ong'echa JM. Association of killer cell immunoglobulin-like receptors with endemic Burkitt lymphoma in Kenyan children. Sci Rep 2021; 11:11343. [PMID: 34059753 PMCID: PMC8166913 DOI: 10.1038/s41598-021-90596-7] [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: 12/22/2020] [Accepted: 04/09/2021] [Indexed: 02/04/2023] Open
Abstract
Endemic Burkitt lymphoma (eBL) is an aggressive pediatric B cell lymphoma, common in Equatorial Africa. Co-infections with Epstein-Barr virus (EBV) and Plasmodium falciparum, coupled with c-myc translocation are involved in eBL etiology. Infection-induced immune evasion mechanisms to avoid T cell cytotoxicity may increase the role of Natural killer (NK) cells in anti-tumor immunosurveillance. Killer immunoglobulin-like receptor (KIR) genes on NK cells exhibit genotypic and allelic variations and are associated with susceptibility to diseases and malignancies. However, their role in eBL pathogenesis remains undefined. This retrospective study genotyped sixteen KIR genes and compared their frequencies in eBL patients (n = 104) and healthy geographically-matched children (n = 104) using sequence-specific primers polymerase chain reaction (SSP-PCR) technique. The relationship between KIR polymorphisms with EBV loads and eBL pathogenesis was investigated. Possession of ≥ 4 activating KIRs predisposed individuals to eBL (OR = 3.340; 95% CI 1.530-7.825; p = 0.004). High EBV levels were observed in Bx haplogroup (p = 0.016) and AB genotypes (p = 0.042) relative to AA haplogroup and AA genotype respectively, in eBL patients but not in healthy controls. Our results suggest that KIR-mediated NK cell stimulation could mute EBV control, contributing to eBL pathogenesis.
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Affiliation(s)
- Beatrice M Muriuki
- West African Center for Cell Biology of Infectious Pathogens, College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Catherine S Forconi
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Peter O Oluoch
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Anita Ghansah
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Legon, Accra, Ghana
| | - Ann M Moormann
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - John M Ong'echa
- Center for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
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14
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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: 19] [Impact Index Per Article: 6.3] [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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15
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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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16
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Weiss E, Andrade HS, Lara JR, Souza AS, Paz MA, Lima THA, Porto IOP, S B Silva N, Castro CFB, Grotto RMT, Donadi EA, Mendes-Junior CT, Castelli EC. KIR2DL4 genetic diversity in a Brazilian population sample: implications for transcription regulation and protein diversity in samples with different ancestry backgrounds. Immunogenetics 2021; 73:227-241. [PMID: 33595694 DOI: 10.1007/s00251-021-01206-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 01/22/2021] [Indexed: 11/30/2022]
Abstract
KIR2DL4 is an important immune modulator expressed in natural killer cells; HLA-G is its main ligand. We have characterized the KIR2DL4 genetic diversity by considering the promoter, all exons, and all introns in a highly admixed Brazilian population sample and by using massively parallel sequencing. We introduce a molecular method to amplify and to sequence the complete KIR2DL4 gene. To avoid the mapping bias and genotype errors commonly observed in gene families, we have developed and validated a bioinformatic pipeline designed to minimize these errors and applied it to survey the variability of 220 individuals from the State of São Paulo, southeastern Brazil. We have also compared the KIR2DL4 genetic diversity in the Brazilian cohort with the diversity previously reported by the 1000Genomes consortium. KIR2DL4 presents high linkage disequilibrium throughout the gene, with coding sequences associated with specific promoters. There are few but divergent promoter haplotypes. We have also detected many new KIR2DL4 sequences, all bearing nucleotide exchanges in introns and encoding previously described proteins. Exons 3 and 4, which encode the external domains, are the most variable. The ancestry background influences the KIR2DL4 allele frequencies and must be considered for association studies regarding KIR2DL4.
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Affiliation(s)
- Emiliana Weiss
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Heloisa S Andrade
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Juliana Rodrigues Lara
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Andreia S Souza
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Michelle A Paz
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Thálitta H A Lima
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Iane O P Porto
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Nayane S B Silva
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Camila F Bannwart Castro
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Rejane M T Grotto
- Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.,School of Agronomical Sciences, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil
| | - Eduardo A Donadi
- Department of Medicine, Ribeirão, Preto Medical School, University of São Paulo (USP), Ribeirao Preto, State of Sao Paulo, Brazil
| | - Celso T Mendes-Junior
- Departamento de Química, Faculdade de Filosofia, Ciências E Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirao Preto, Sao Paulo, Brazil
| | - Erick C Castelli
- Molecular Genetics and Bioinformatics Laboratory - Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil. .,Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil. .,Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, State of Sao Paulo, Brazil.
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