Killer‐cell immunoglobulin‐like receptor polymorphism is associated with COVID‐19 outcome: Results of a pilot observational study
The pathogenesis of COVID‐19 warrants unravelling. Genetic polymorphism analysis may help answer the variability in disease outcome. To determine the role of KIR and HLA polymorphisms in susceptibility, progression, and severity of SARS‐CoV‐2 infection, 458 patients and 667 controls enrolled in this...
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Published in: | HLA Vol. 104; no. 2; pp. e15640 - n/a |
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Blackwell Publishing Ltd
01-08-2024
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Abstract | The pathogenesis of COVID‐19 warrants unravelling. Genetic polymorphism analysis may help answer the variability in disease outcome. To determine the role of KIR and HLA polymorphisms in susceptibility, progression, and severity of SARS‐CoV‐2 infection, 458 patients and 667 controls enrolled in this retrospective observational study from April to December 2020. Mild/moderate and severe/death study groups were established. HLA‐A, ‐B, ‐C, and KIR genotyping were performed using the Lifecodes® HLA‐SSO and KIR‐SSO kits on the Luminex® 200™ xMAP fluoroanalyser. A probability score using multivariate binary logistic regression analysis was calculated to estimate the likelihood of severe COVID‐19. ROC analysis was used to calculate the best cut‐off point for predicting a worse clinical outcome with high sensitivity and specificity. A p ≤ 0.05 was considered statistically significant. KIR AA genotype protected positively against severity/death from COVID‐19. Furthermore, KIR3DL1, KIR2DL3 and KIR2DS4 genes protected patients from severe forms of COVID‐19. KIR Bx genotype, as well as KIR2DL2, KIR2DS2, KIR2DS3 and KIR3DS1 were identified as biomarkers of severe COVID‐19. Our logistic regression model, which included clinical and KIR/HLA variables, categorised our cohort of patients as high/low risk for severe COVID‐19 disease with high sensitivity and specificity (Se = 94.29%, 95% CI [80.84–99.30]; Sp = 84.55%, 95% CI [79.26–88.94]; OR = 47.58, 95%CI [11.73–193.12], p < 0.0001). These results illustrate an association between KIR/HLA ligand polymorphism and different COVID‐19 outcomes and remarks the possibility of use them as a surrogate biomarkers to detect severe patients in possible future infectious outbreaks. |
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AbstractList | The pathogenesis of COVID‐19 warrants unravelling. Genetic polymorphism analysis may help answer the variability in disease outcome. To determine the role of KIR and HLA polymorphisms in susceptibility, progression, and severity of SARS‐CoV‐2 infection, 458 patients and 667 controls enrolled in this retrospective observational study from April to December 2020. Mild/moderate and severe/death study groups were established. HLA‐A , ‐B , ‐C , and KIR genotyping were performed using the Lifecodes® HLA‐SSO and KIR‐SSO kits on the Luminex® 200™ xMAP fluoroanalyser. A probability score using multivariate binary logistic regression analysis was calculated to estimate the likelihood of severe COVID‐19. ROC analysis was used to calculate the best cut‐off point for predicting a worse clinical outcome with high sensitivity and specificity. A p ≤ 0.05 was considered statistically significant. KIR AA genotype protected positively against severity/death from COVID‐19. Furthermore, KIR3DL1 , KIR2DL3 and KIR2DS4 genes protected patients from severe forms of COVID‐19. KIR Bx genotype, as well as KIR2DL2 , KIR2DS2 , KIR2DS3 and KIR3DS1 were identified as biomarkers of severe COVID‐19. Our logistic regression model, which included clinical and KIR/HLA variables, categorised our cohort of patients as high/low risk for severe COVID‐19 disease with high sensitivity and specificity (Se = 94.29%, 95% CI [80.84–99.30]; Sp = 84.55%, 95% CI [79.26–88.94]; OR = 47.58, 95%CI [11.73–193.12], p < 0.0001). These results illustrate an association between KIR/HLA ligand polymorphism and different COVID‐19 outcomes and remarks the possibility of use them as a surrogate biomarkers to detect severe patients in possible future infectious outbreaks. |
Author | González‐Calle, D. Gutiérrez‐Zufiaurre, M. N. González, M. Eiros, R. Terradillos‐Sánchez, P. García‐Álvarez, M. Boix, F. Chillón, M. C. Presa, D. López‐Bernús, A. López‐Sánchez, E. Sánchez, P. L. Compán‐Fernández, O. Alcoceba, M. Gil‐Etayo, F. J. Marcos, M. Bartol‐Sánchez, M. R. García‐Sanz, R. Niño‐Ramírez, J. E. Muñoz, J. L. |
Author_xml | – sequence: 1 givenname: J. E. orcidid: 0000-0001-9353-9512 surname: Niño‐Ramírez fullname: Niño‐Ramírez, J. E. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 2 givenname: M. orcidid: 0000-0002-3819-4846 surname: Alcoceba fullname: Alcoceba, M. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 3 givenname: M. N. orcidid: 0000-0002-0818-0021 surname: Gutiérrez‐Zufiaurre fullname: Gutiérrez‐Zufiaurre, M. N. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Universidad de Salamanca (USAL) – sequence: 4 givenname: M. orcidid: 0000-0003-1269-4487 surname: Marcos fullname: Marcos, M. organization: Hospital Universitario de Salamanca, IBSAL – sequence: 5 givenname: F. J. orcidid: 0000-0002-6152-0080 surname: Gil‐Etayo fullname: Gil‐Etayo, F. J. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 6 givenname: M. R. orcidid: 0009-0006-4059-4351 surname: Bartol‐Sánchez fullname: Bartol‐Sánchez, M. R. organization: Hospital Universitario de Salamanca – sequence: 7 givenname: R. orcidid: 0000-0002-9488-2555 surname: Eiros fullname: Eiros, R. organization: Hospital Universitario de Salamanca, IBSAL, USAL, CIBERCV – sequence: 8 givenname: M. C. orcidid: 0000-0003-1624-6059 surname: Chillón fullname: Chillón, M. C. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 9 givenname: M. orcidid: 0000-0001-8864-1168 surname: García‐Álvarez fullname: García‐Álvarez, M. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 10 givenname: P. orcidid: 0000-0003-2581-6084 surname: Terradillos‐Sánchez fullname: Terradillos‐Sánchez, P. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 11 givenname: D. surname: Presa fullname: Presa, D. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 12 givenname: J. L. surname: Muñoz fullname: Muñoz, J. L. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Universidad de Salamanca (USAL) – sequence: 13 givenname: A. orcidid: 0000-0002-7524-4056 surname: López‐Bernús fullname: López‐Bernús, A. organization: Hospital Universitario de Salamanca, IBSAL – sequence: 14 givenname: E. surname: López‐Sánchez fullname: López‐Sánchez, E. organization: Hospital Universitario de Salamanca, IBSAL – sequence: 15 givenname: D. orcidid: 0000-0001-9051-0124 surname: González‐Calle fullname: González‐Calle, D. organization: Hospital Universitario de Salamanca, IBSAL, USAL, CIBERCV – sequence: 16 givenname: P. L. surname: Sánchez fullname: Sánchez, P. L. organization: Hospital Universitario de Salamanca, IBSAL, USAL, CIBERCV – sequence: 17 givenname: O. orcidid: 0000-0002-1389-6497 surname: Compán‐Fernández fullname: Compán‐Fernández, O. organization: Hospital Universitario de Salamanca – sequence: 18 givenname: M. orcidid: 0000-0001-6637-1072 surname: González fullname: González, M. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 19 givenname: R. orcidid: 0000-0003-4120-2787 surname: García‐Sanz fullname: García‐Sanz, R. organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) – sequence: 20 givenname: F. orcidid: 0000-0002-3926-7920 surname: Boix fullname: Boix, F. email: boix_fragin@gva.es organization: Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), CIBERONC, Centro de Investigación del Cáncer (CIC) and Universidad de Salamanca (USAL) |
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Keywords | immunogenetics polymorphism COVID‐19 HLA KIR |
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Notes | J. E. Niño‐Ramírez, M. Alcoceba and F. Boix worked equally in this work. |
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Snippet | The pathogenesis of COVID‐19 warrants unravelling. Genetic polymorphism analysis may help answer the variability in disease outcome. To determine the role of... The pathogenesis of COVID-19 warrants unravelling. Genetic polymorphism analysis may help answer the variability in disease outcome. To determine the role of... |
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SubjectTerms | Adult Aged COVID-19 - genetics COVID-19 - immunology COVID-19 - virology COVID‐19 Female Genetic Predisposition to Disease Genotype HLA HLA Antigens - genetics Humans immunogenetics KIR Male Middle Aged Pilot Projects polymorphism Polymorphism, Genetic Receptors, KIR - genetics Retrospective Studies SARS-CoV-2 - immunology Severity of Illness Index |
Title | Killer‐cell immunoglobulin‐like receptor polymorphism is associated with COVID‐19 outcome: Results of a pilot observational study |
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