Integrative analyses of mendelian randomization and bioinformatics reveal casual relationship and genetic links between COVID-19 and knee osteoarthritis.

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Xiao Zheng, Jinhao Li, Qinfeng Ma, Jianping Gong, Jianbo Pan
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引用次数: 0

Abstract

Background: Clinical and epidemiological analyses have found an association between coronavirus disease 2019 (COVID-19) and knee osteoarthritis (KOA). Infection with COVID-19 may increase the risk of developing KOA.

Objectives: This study aimed to investigate the potential causal relationship between COVID-19 and KOA using Mendelian randomization (MR) and to explore the underlying mechanisms through a systematic bioinformatics approach.

Methods: Our investigation focused on exploring the potential causal relationship between COVID-19, acute upper respiratory tract infection (URTI) and KOA utilizing a bidirectional MR approach. Additionally, we conducted differential gene expression analysis using public datasets related to these three conditions. Subsequent analyses, including transcriptional regulation analysis, immune cell infiltration analysis, single-cell analysis, and druggability evaluation, were performed to explore potential mechanisms and prioritize therapeutic targets.

Results: The results indicate that COVID-19 has a one-way impact on KOA, while URTI does not play a causal role in this association. Ribosomal dysfunction may serve as an intermediate factor connecting COVID-19 with KOA. Specifically, COVID-19 has the potential to influence the metabolic processes of the extracellular matrix, potentially impacting the joint homeostasis. A specific group of genes (COL10A1, BGN, COL3A1, COMP, ACAN, THBS2, COL5A1, COL16A1, COL5A2) has been identified as a shared transcriptomic signature in response to KOA with COVID-19. Imatinib, Adiponectin, Myricetin, Tranexamic acid, and Chenodeoxycholic acid are potential drugs for the treatment of KOA patients with COVID-19.

Conclusions: This study uniquely combines Mendelian randomization and bioinformatics tools to explore the possibility of a causal relationship and genetic association between COVID-19 and KOA. These findings are expected to provide novel perspectives on the underlying biological mechanisms that link COVID-19 and KOA.

背景:临床和流行病学分析发现,冠状病毒病2019(COVID-19)与膝骨关节炎(KOA)之间存在关联。感染COVID-19可能会增加患KOA的风险:本研究旨在利用孟德尔随机法(MR)调查 COVID-19 与 KOA 之间的潜在因果关系,并通过系统的生物信息学方法探索其潜在机制:我们的研究重点是利用双向MR方法探索COVID-19、急性上呼吸道感染(URTI)和KOA之间的潜在因果关系。此外,我们还利用与这三种疾病相关的公共数据集进行了差异基因表达分析。随后进行的分析包括转录调控分析、免疫细胞浸润分析、单细胞分析和可药性评估,以探索潜在机制并确定治疗靶点的优先次序:结果:研究结果表明,COVID-19对KOA有单向影响,而URTI在这种关联中并不扮演因果角色。核糖体功能障碍可能是连接 COVID-19 和 KOA 的中间因素。具体来说,COVID-19 有可能影响细胞外基质的代谢过程,从而对关节的稳态产生潜在影响。一组特定的基因(COL10A1、BGN、COL3A1、COMP、ACAN、THBS2、COL5A1、COL16A1、COL5A2)已被确定为与 COVID-19 共同响应 KOA 的转录组特征。伊马替尼、脂肪连接蛋白、米瑞克替林、氨甲环酸和去氧胆酸是治疗COVID-19型KOA患者的潜在药物:本研究独特地结合了孟德尔随机化和生物信息学工具,探讨了 COVID-19 与 KOA 之间的因果关系和遗传关联的可能性。这些发现有望为COVID-19与KOA之间的潜在生物学机制提供新的视角。
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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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