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通过综合网络生物学方法识别与新冠后综合征相关的疾病。

Identifying diseases associated with Post-COVID syndrome through an integrated network biology approach.

机构信息

School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India.

出版信息

J Biomol Struct Dyn. 2024 Jan-Feb;42(2):652-671. doi: 10.1080/07391102.2023.2195003. Epub 2023 Mar 30.

DOI:10.1080/07391102.2023.2195003
PMID:36995291
Abstract

A growing body of research shows that COVID-19 is now recognized as a multi-organ disease with a wide range of manifestations that can have long-lasting repercussions, referred to as post-COVID-19 syndrome. It is unknown why the vast majority of COVID-19 patients develop post-COVID-19 syndrome, or why patients with pre-existing disorders are more likely to experience severe COVID-19. This study used an integrated network biology approach to obtain a comprehensive understanding of the relationship between COVID-19 and other disorders. The approach involved building a PPI network with COVID-19 genes and identifying highly interconnected regions. The molecular information contained within these subnetworks, as well as the pathway annotations, were used to reveal the link between COVID-19 and other disorders. Using Fisher's exact test and disease-specific gene information, significant COVID-19-disease associations were discovered. The study discovered diseases that affect multiple organs and organ systems, thus proving the theory of multiple organ damage caused by COVID-19. Cancers, neurological disorders, hepatic diseases, cardiac disorders, pulmonary diseases, and hypertensive diseases are just a few of the conditions linked to COVID-19. Pathway enrichment analysis of shared proteins revealed the shared molecular mechanism of COVID-19 and these diseases. The findings of the study shed new light on the major COVID-19-associated disease conditions and how their molecular mechanisms interact with COVID-19. The novelty of studying disease associations in the context of COVID-19 provides new insights into the management of rapidly evolving long-COVID and post-COVID syndromes, which have significant global implications.Communicated by Ramaswamy H. Sarma.

摘要

越来越多的研究表明,COVID-19 现在被认为是一种多器官疾病,其表现多种多样,可能会产生持久的影响,被称为 COVID-19 后综合征。目前尚不清楚为什么绝大多数 COVID-19 患者会出现 COVID-19 后综合征,也不知道为什么有预先存在疾病的患者更容易出现严重的 COVID-19。本研究采用整合网络生物学方法,全面了解 COVID-19 与其他疾病之间的关系。该方法涉及构建一个包含 COVID-19 基因的 PPI 网络,并确定高度相互连接的区域。这些子网中的分子信息以及途径注释用于揭示 COVID-19 与其他疾病之间的联系。使用 Fisher 精确检验和疾病特异性基因信息,发现了与 COVID-19 显著相关的疾病。该研究发现了影响多个器官和器官系统的疾病,从而证明了 COVID-19 引起多器官损伤的理论。与 COVID-19 相关的疾病包括癌症、神经紊乱、肝脏疾病、心脏紊乱、肺部疾病和高血压疾病等。共享蛋白的途径富集分析揭示了 COVID-19 和这些疾病的共同分子机制。该研究的结果为 COVID-19 相关的主要疾病状况及其与 COVID-19 相互作用的分子机制提供了新的认识。在 COVID-19 背景下研究疾病关联的新颖性为管理快速发展的长 COVID 和 COVID-19 后综合征提供了新的见解,这对全球具有重要意义。Ramaswamy H. Sarma 通讯。

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