Investigation of the relationship between IL17A, IL17F and ILR1N polymorphisms and COVID‐19 severity: The predictive role of IL17A rs2275913 polymorphism in the clinical course of COVID‐19

Author:

Cakmak Genc Gunes1ORCID,Karakas Celik Sevim1ORCID,Yilmaz Busra1ORCID,Piskin Nihal2ORCID,Altinsoy Bulent3ORCID,Dursun Ahmet1ORCID

Affiliation:

1. Department of Medical Genetics Zonguldak Bülent Ecevit University Training and Research Hospital Zonguldak Turkey

2. Department of Infectious Diseases and Clinical Microbiology Zonguldak Bülent Ecevit University Training and Research Hospital Zonguldak Turkey

3. Department of Pulmonary Medicine Zonguldak Bülent Ecevit University Training and Research Hospital Zonguldak Turkey

Abstract

AbstractCoronavirus disease 2019 (COVID‐19) is an infectious respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Although the mortality rate of the disease has been relatively under control as of 2022, more than 15 million confirmed COVID‐19 cases have been detected in Turkey to date, causing more than 100,000 deaths. The clinical manifestation of the disease varies widely, ranging from asymptomatic to acute respiratory distress syndrome causing death. The immune response mechanisms have an important impact on the fine adjustment between healing and enhanced tissue damage. This study aims to investigate the relationship between the variants of the interleukin 1 receptor antagonist (IL1RN), interleukin 17A (IL17A), and interleukin 17F (IL17F) genes and COVID‐19 severity. The study population comprised 202 confirmed COVID‐19 cases divided into three groups according to severity. The IL1RN variable number of a tandem repeat (VNTR) polymorphism was genotyped by polymerase chain reaction (PCR), and IL17A rs2275913, IL17F rs763780 and rs2397084 polymorphisms were genotyped by the PCR‐based restriction fragment length polymorphism method. Statistical analysis revealed a significant association between IL17A rs2275913 variant and COVID‐19 severity. The AA genotype and the A allele of IL17A rs2275913 were found significant in the severe group. Additionally, we found a significant relationship between haplotype frequency distributions and severity of COVID‐19 for the IL17F rs763780/rs2397084 (p = 0.044) and a combination of IL17F rs763780/rs2397084/ IL17A rs2275913 (p = 0.04). The CG and CGA haplotype frequencies were significantly higher in the severe group. IL17A rs2275913, IL17F rs763780 and rs2397084 variants appear to have important effects on the immune response in COVID‐19. In conclusion, variants of IL17A rs2275913, IL17F rs763780 and rs2397084 may be the predictive markers for the clinical course and potential immunomodulatory treatment options in COVID‐19, a disease that has placed a significant burden on our country.

Publisher

Wiley

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine,Immunology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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