The rs17713054 and rs1800629 polymorphisms of genes LZTFL1 and TNF are associated with COVID-19 severity

IF 0.2 Q4 MEDICINE, GENERAL & INTERNAL
AA Traspov, MM Minashkin, S.Yu. Poyarkov, AG Komarov, I. Shtinova, G. Speshilov, IA Karbyshev, NV Pozdniakova, MA Godkov
{"title":"The rs17713054 and rs1800629 polymorphisms of genes LZTFL1 and TNF are associated with COVID-19 severity","authors":"AA Traspov, MM Minashkin, S.Yu. Poyarkov, AG Komarov, I. Shtinova, G. Speshilov, IA Karbyshev, NV Pozdniakova, MA Godkov","doi":"10.24075/brsmu.2022.065","DOIUrl":null,"url":null,"abstract":"Both genetic and non-genetic factors are responsible for high interindividual variability in response to SARS-CoV-2. Despite the fact that multiple genetic polymorphisms have been identified as risk factors of severe COVID-19, such polymorphisms are still insufficiently studied in the Russian population. The study was aimed to identify genetic determinants associated with severe COVID-19 in the sample of patients from the Russian Federation. The correlation of the rs17713054 polymorphism in gene LZTFL1 and rs1800629 polymorphism in gene TNF (tumor necrosis factor) with the COVID-19 severity was assessed. DNA samples obtained from 713 patients (324 males and 389 females) aged 18‒95 with COVID-19 of varying severity were analyzed. The rs1800629 polymorphism of gene TNF (OR = 1.5; p = 0.02) and rs17713054 polymorphism of gene LZTFL1 (OR = 1.60; p = 0.0043) were identified as risk factors of severe disease. The TNF polymorphism rs1800629 and LZTFL1 polymorphism rs17713054 could be considered as potential predictive biomarkers. The rs17713054 G > A polymorphism was strongly associated with severe disease. In the future the findings may provide the basis for the development of test-systems for prediction of the risk of severe viral respiratory diseases.","PeriodicalId":9344,"journal":{"name":"Bulletin of Russian State Medical University","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Russian State Medical University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24075/brsmu.2022.065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Both genetic and non-genetic factors are responsible for high interindividual variability in response to SARS-CoV-2. Despite the fact that multiple genetic polymorphisms have been identified as risk factors of severe COVID-19, such polymorphisms are still insufficiently studied in the Russian population. The study was aimed to identify genetic determinants associated with severe COVID-19 in the sample of patients from the Russian Federation. The correlation of the rs17713054 polymorphism in gene LZTFL1 and rs1800629 polymorphism in gene TNF (tumor necrosis factor) with the COVID-19 severity was assessed. DNA samples obtained from 713 patients (324 males and 389 females) aged 18‒95 with COVID-19 of varying severity were analyzed. The rs1800629 polymorphism of gene TNF (OR = 1.5; p = 0.02) and rs17713054 polymorphism of gene LZTFL1 (OR = 1.60; p = 0.0043) were identified as risk factors of severe disease. The TNF polymorphism rs1800629 and LZTFL1 polymorphism rs17713054 could be considered as potential predictive biomarkers. The rs17713054 G > A polymorphism was strongly associated with severe disease. In the future the findings may provide the basis for the development of test-systems for prediction of the risk of severe viral respiratory diseases.
LZTFL1和TNF基因rs17713054和rs1800629多态性与COVID-19严重程度相关
遗传和非遗传因素都是应对严重急性呼吸系统综合征冠状病毒2型的高个体间变异性的原因。尽管多种遗传多态性已被确定为严重新冠肺炎的危险因素,但在俄罗斯人群中对这种多态性的研究仍然不足。该研究旨在确定俄罗斯联邦患者样本中与严重新冠肺炎相关的遗传决定因素。评估了LZTFL1基因rs17713054多态性和TNF(肿瘤坏死因子)基因rs1800629多态性与新冠肺炎严重程度的相关性。分析了713名18-95岁不同严重程度新冠肺炎患者(324名男性和389名女性)的DNA样本。TNF基因rs1800629多态性(OR=1.5;p=0.02)和LZTFL1基因rs17713054多态性(OR=1.60;p=0.0043)被确定为严重疾病的危险因素。TNF多态性rs1800629和LZTFL1多态性rs17713054可作为潜在的预测生物标志物。rs17713054G>A多态性与严重疾病密切相关。在未来,这些发现可能为开发用于预测严重病毒性呼吸道疾病风险的测试系统提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Bulletin of Russian State Medical University
Bulletin of Russian State Medical University MEDICINE, GENERAL & INTERNAL-
CiteScore
0.80
自引率
0.00%
发文量
59
期刊介绍: Bulletin of Russian State Medical University (Bulletin of RSMU, ISSN Print 2500–1094, ISSN Online 2542–1204) is a peer-reviewed medical journal of Pirogov Russian National Research Medical University (Moscow, Russia). The original language of the journal is Russian (Vestnik Rossiyskogo Gosudarstvennogo Meditsinskogo Universiteta, Vestnik RGMU, ISSN Print 2070–7320, ISSN Online 2070–7339). Founded in 1994, it is issued once every two months publishing articles on clinical medicine and medical and biological sciences, first of all oncology, neurobiology, allergy and immunology, medical genetics, medical microbiology and infectious diseases. Every issue is thematic. Deadlines for manuscript submission are announced in advance. The number of publications on topics in spite of the issue topic is limited. The journal accepts only original articles submitted by their authors, including articles that present methods and techniques, clinical cases and opinions. Authors must guarantee that their work has not been previously published elsewhere in whole or in part and in other languages and is not under consideration by another scientific journal. The journal publishes only one review per issue; the review is ordered by the editors.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信