HLA‐DPB1*13:01 associates with enhanced, and KIR2DS4*001 with diminished protection from developing severe COVID‐19

Author:

Farias Ticiana D. J.12ORCID,Brugiapaglia Silvia3,Croci Susanna45,Magistroni Paola6,Curcio Claudia3,Zguro Kristina5,Fallerini Chiara45,Fava Francesca457ORCID,Pettini Francesco58,Kichula Katherine M.12,Pollock Nicholas R.12,Font‐Porterias Neus12,Palmer William H.12,Marin Wesley M.9ORCID,Baldassarri Margherita45,Bruttini Mirella457,Hollenbach Jill A.9,Hendricks Audrey E.110,Meloni Ilaria45,Novelli Francesco311,Renieri Alessandra4578,Furini Simone5,Norman Paul J.12ORCID,Amoroso Antonio612,

Affiliation:

1. Department of Biomedical Informatics University of Colorado School of Medicine Aurora Colorado USA

2. Department of Immunology and Microbiology University of Colorado School of Medicine Aurora Colorado USA

3. Department of Molecular Biotechnology and Health Sciences University of Turin Turin Italy

4. Medical Genetics University of Siena Siena Italy

5. Med Biotech Hub and Competence Center, Department of Medical Biotechnologies University of Siena Siena Italy

6. Immunogenetics and Transplant Biology Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino Turin Italy

7. Genetica Medica Azienda Ospedaliero‐Universitaria Senese Siena Italy

8. Department of Biotechnology, Chemistry and Pharmacy University of Siena Siena Italy

9. Department of Neurology, UCSF Weill Institute for Neurosciences University of California, San Francisco San Francisco California USA

10. Department of Mathematical and Statistical Sciences, and Department of Biomedical Informatics University of Colorado School of Medicine Aurora Colorado USA

11. Molecular Biotechnology Center University of Turin Turin Italy

12. Department of Medical Sciences University of Turin Turin Italy

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.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

National Institutes of Health

Publisher

Wiley

Subject

Genetics,Immunology,Immunology and Allergy

Reference87 articles.

1. Clinical Characteristics of Coronavirus Disease 2019 in China

2. Clinical phenotypes of SARS-CoV-2: implications for clinicians and researchers

3. Viral and host factors related to the clinical outcome of COVID-19

4. The immunogenetics of COVID-19

5. Allelic variation in class I HLA determines CD8(+) T cell repertoire shape and cross‐reactive memory responses to SARS‐CoV‐2;Francis JM;Sci Immunol,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3