1
|
Beksac M, Akin HY, Cengiz Seval G, Yurdakul Mesutoglu P, Anliacik RG, Anliacik E, Gurman G, Karaagaoglu E, Dalva K. A Novel Hypothesis: Certain KIR/Cognate Ligand Containing Genotypes Differ in Frequency Among Patients With Myeloma and Have an Effect on Age of Disease Onset. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:394-400.e1. [PMID: 36918304 DOI: 10.1016/j.clml.2023.02.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
BACKGROUND Natural killer (NK) cells are known to have cytotoxic effects mediated through killer immunoglobulin-like receptors (KIRs) and their cognate ligands. Role of KIRs in myeloma is yet unresolved. PATIENTS AND METHODS KIR genotypes and ligands of 204 newly diagnosed MM patients are compared with 424 healthy subjects. Statistical analysis included t-test, chi-square and binary logistic regression. RESULTS KIR ligands were significantly more (C2C2: 27.5% vs 15.1%; OR 2.128; 95% CI, 1.417-3.196; P < .001) or less (C1C2: 40.2% vs 51.9%; OR 0.623; 95% CI, 0.444-0.874; P = .006) frequent among MM. Co-occurrence of genotype AA with C2C2 was also higher in frequency among MM (OR 2.509; 95% CI, 1.171-5.378; P = .015) likewise cAB1 with C1C2 was less frequent (OR 0.553; 95% CI, 0.333-0.919; P = .021). Genotypes AA with C1C1, cAB1 with C1C2 or C1C2 alone were associated with a delay (median age: 61 [48-73]; P = .044; 62 [31-81]; P = .030 or 59 [31-85]; P = .028), but AA with C2C2 with an earlier age of onset (48 [29-77]; P = .042). In multivariate analysis including R-ISS, light chain, KIR genotype/ligands; ligand C1C2 (P = .02) and genotype AA-C1C1 (P = .037) were independently associated with age of onset ≥60. CONCLUSION C1C2 and C2C2 alone or in combination with KIR genotype (cAB1 and AA, respectively), is observed in less or higher frequency among MM cases and associated with delayed/earlier age of onset, respectively. Genotype AA-C1C1 although in similar frequency between patients and healthy subjects, is also associated with delay. To our knowledge, this is the first study demonstrating an association between KIR and MM onset age, independent from R-ISS or light chain type.
Collapse
Affiliation(s)
- Meral Beksac
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey.
| | - Hasan Yalim Akin
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
| | | | | | - Rıdvan Goksel Anliacik
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Ezgi Anliacik
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Gunhan Gurman
- Department of Hematology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - Ergun Karaagaoglu
- Department of Biostatistics, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Klara Dalva
- Department of Hematology, Immunogenetics Laboratory, Ankara University Faculty of Medicine, Ankara, Turkey
| |
Collapse
|
2
|
Cetin M, Cetin S, Ulgen A, Li W. Blood-Type-A is a COVID-19 infection and hospitalization risk in a Turkish cohort. Transfus Clin Biol 2023; 30:116-122. [PMID: 36243305 PMCID: PMC9557134 DOI: 10.1016/j.tracli.2022.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 02/07/2023]
Abstract
We have shown in an ethnically homogenous Turkey cohort with more than six thousand cases and 25 thousand controls that ABO blood types that contain anti-A antibody (O and B) are protective against COVID-19 infection and hospitalization, whereas those without the anti-A antibody (A and AB) are risks. The A + AB frequency increases from 54.7 % in uninfected controls to 57.6 % in COVID-19 outpatients, and to 62.5 % in COVID-19 inpatients. The odds-ratio (OR) for lacking of anti-A antibody risk for infection is 1.16 (95 % confidence interval (CI) 1.1-1.22, and Fisher test p-value 1.8 × 10-7). The OR for hospitalization is 1.23 (95 %CI 1.06-1.42, Fisher test p-value 0.005). A linear regression treating controls, outpatients, inpatients as three numerical levels over anti-A antibody leads to a p-value of 5.9 × 10-9. All these associations remain to be statistically significant after conditioning over age, even though age itself is a risk for both infection and hospitalization. We also attempted to correct the potential effect from vaccination, even though vaccination information is not available, by using the date of the data collection as a surrogate to vaccination status. Although no significant association between infection/hospitalization with Rhesus blood system was found, forest plots are used to illustrate possible trends.
Collapse
Affiliation(s)
- Meryem Cetin
- Department of Medical Microbiology, Faculty of Medicine, Amasya University, Amasya, Turkey
| | - Sirin Cetin
- Department of Biostatistics, Amasya University, Amasya, Turkey
| | - Ayse Ulgen
- Department of Biostatistics, Faculty of Medicine, Girne American University, 99320 Karmi, Cyprus; Department of Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NF, UK.
| | - Wentian Li
- The Robert S. Boas Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
| |
Collapse
|
3
|
Ligotti ME, Aiello A, Accardi G, Calabrò A, Ciaccio M, Colomba C, Di Bona D, Lo Sasso B, Pojero F, Tuttolomondo A, Caruso C, Candore G, Duro G. Distribution of KIR Genes and Their HLA Ligands in Different Viral Infectious Diseases: Frequency Study in Sicilian Population. Int J Mol Sci 2022; 23:ijms232415466. [PMID: 36555106 PMCID: PMC9779783 DOI: 10.3390/ijms232415466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022] Open
Abstract
Natural killer (NK) cells play a role in defence against viral infections by killing infected cells or by producing cytokines and interacting with adaptive immune cells. Killer immunoglobulin-like receptors (KIRs) regulate the activation of NK cells through their interaction with human leucocyte antigens (HLA). Ninety-six Sicilian patients positive to Human Immunodeficiency Virus-1 (HIV) and ninety-two Sicilian patients positive to SARS-CoV-2 were genotyped for KIRs and their HLA ligands. We also included fifty-six Sicilian patients with chronic hepatitis B (CHB) already recruited in our previous study. The aim of this study was to compare the distribution of KIR-HLA genes/groups of these three different infected populations with healthy Sicilian donors from the literature. We showed that the inhibitory KIR3DL1 gene and the KIR3DL1/HLA-B Bw4 pairing were more prevalent in individual CHB. At the same time, the frequency of HLA-C2 was increased in CHB compared to other groups. In contrast, the HLA-C1 ligand seems to have no contribution to CHB progression whereas it was significantly higher in COVID-19 and HIV-positive than healthy controls. These results suggest that specific KIR-HLA combinations can predict the outcome/susceptibility of these viral infections and allows to plan successful customized therapeutic strategies.
Collapse
Affiliation(s)
- Mattia Emanuela Ligotti
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Anna Aiello
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Giulia Accardi
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
- Correspondence:
| | - Anna Calabrò
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Marcello Ciaccio
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Claudia Colomba
- Department of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy
| | - Danilo Di Bona
- Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, 70124 Bari, Italy
| | - Bruna Lo Sasso
- Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
| | - Fanny Pojero
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Antonino Tuttolomondo
- Department of Health Promotion, Maternal and Infant Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy
| | - Calogero Caruso
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Giuseppina Candore
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90134 Palermo, Italy
| | - Giovanni Duro
- Institute for Biomedical Research and Innovation, National Research Council of Italy, 90146 Palermo, Italy
| |
Collapse
|
4
|
Maruthamuthu S, Rajalingam K, Kaur N, Morvan MG, Soto J, Lee N, Kong D, Hu Z, Reyes K, Ng D, Butte AJ, Chiu C, Rajalingam R. Individualized Constellation of Killer Cell Immunoglobulin-Like Receptors and Cognate HLA Class I Ligands that Controls Natural Killer Cell Antiviral Immunity Predisposes COVID-19. Front Genet 2022; 13:845474. [PMID: 35273641 PMCID: PMC8902362 DOI: 10.3389/fgene.2022.845474] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 01/24/2022] [Indexed: 12/12/2022] Open
Abstract
Background: The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection causes coronavirus disease-2019 (COVID-19) in some individuals, while the majority remain asymptomatic. Natural killer (NK) cells play an essential role in antiviral defense. NK cell maturation and function are regulated mainly by highly polymorphic killer cell immunoglobulin-like receptors (KIR) and cognate HLA class I ligands. Herein, we tested our hypothesis that the individualized KIR and HLA class I ligand combinations that control NK cell function determine the outcome of SARS-CoV-2 infection. Methods: We characterized KIR and HLA genes in 200 patients hospitalized for COVID-19 and 195 healthy general population controls. Results: The KIR3DL1+HLA-Bw4+ [Odds ratio (OR) = 0.65, p = 0.03] and KIR3DL2+HLA-A3/11+ (OR = 0.6, p = 0.02) combinations were encountered at significantly lower frequency in COVID-19 patients than in the controls. Notably, 40% of the patients lacked both of these KIR+HLA+ combinations compared to 24.6% of the controls (OR = 2.04, p = 0.001). Additionally, activating receptors KIR2DS1+KIR2DS5+ are more frequent in patients with severe COVID-19 than patients with mild disease (OR = 1.8, p = 0.05). Individuals carrying KIR2DS1+KIR2DS5+ genes but missing either KIR3DL1+HLA-Bw4+ combination (OR = 1.73, p = 0.04) or KIR3DL2+HLA-A3/11+ combination (OR = 1.75, p = 0.02) or both KIR3DL1+HLA-Bw4+ and KIR2DL2+HLA-A3/11+ combinations (OR = 1.63, p = 0.03) were more frequent in the COVID-19 cohort compared to controls. Conclusions: The absence of KIR3DL1+HLA-Bw4+ and KIR3DL2+HLA-A3/11+ combinations presumably yields inadequate NK cell maturation and reduces anti-SARS-CoV-2 defense, causing COVID-19. An increased frequency of KIR2DS1+KIR2DS5+ in severe COVID-19 patients suggests vigorous NK cell response triggered via these activating receptors and subsequent production of exuberant inflammatory cytokines responsible for severe COVID-19. Our results demonstrate that specific KIR-HLA combinations that control NK cell maturation and function are underlying immunogenetic variables that determine the dual role of NK cells in mediating beneficial antiviral and detrimental pathologic action. These findings offer a framework for developing potential host genetic biomarkers to distinguish individuals prone to COVID-19.
Collapse
Affiliation(s)
- Stalinraja Maruthamuthu
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Karan Rajalingam
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, United States
| | - Navchetan Kaur
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Maelig G Morvan
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Jair Soto
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Nancy Lee
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Denice Kong
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Zicheng Hu
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Kevin Reyes
- UCSF-Abbott Viral Diagnostics and Discovery Center, Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States.,Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Dianna Ng
- Department of Pathology, University of California, San Francisco, San Francisco, CA, United States.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States
| | - Atul J Butte
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Charles Chiu
- UCSF-Abbott Viral Diagnostics and Discovery Center, Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States.,Department of Pathology, University of California, San Francisco, San Francisco, CA, United States.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Raja Rajalingam
- Immunogenetics and Transplantation Laboratory, Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
| |
Collapse
|