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通路和网络分析确定生长因子信号和 MMP9 为严重 COVID-19 中线粒体功能障碍的潜在介质。

Pathway and Network Analyses Identify Growth Factor Signaling and MMP9 as Potential Mediators of Mitochondrial Dysfunction in Severe COVID-19.

机构信息

Department of Intensive Care Medicine, Nepean Hospital, Kingswood, NSW 2747, Australia.

Centre for Immunology and Allergy Research, The Westmead Institute for Medical Research, Sydney, NSW 2145, Australia.

出版信息

Int J Mol Sci. 2023 Jan 28;24(3):2524. doi: 10.3390/ijms24032524.

Abstract

Patients with preexisting metabolic disorders such as diabetes are at a higher risk of developing severe coronavirus disease 2019 (COVID-19). Mitochondrion, the very organelle that controls cellular metabolism, holds the key to understanding disease progression at the cellular level. Our current study aimed to understand how cellular metabolism contributes to COVID-19 outcomes. Metacore pathway enrichment analyses on differentially expressed genes (encoded by both mitochondrial and nuclear deoxyribonucleic acid (DNA)) involved in cellular metabolism, regulation of mitochondrial respiration and organization, and apoptosis, was performed on RNA sequencing (RNASeq) data from blood samples collected from healthy controls and patients with mild/moderate or severe COVID-19. Genes from the enriched pathways were analyzed by network analysis to uncover interactions among them and up- or downstream genes within each pathway. Compared to the mild/moderate COVID-19, the upregulation of a myriad of growth factor and cell cycle signaling pathways, with concomitant downregulation of interferon signaling pathways, were observed in the severe group. Matrix metallopeptidase 9 ( was found in five of the top 10 upregulated pathways, indicating its potential as therapeutic target against COVID-19. In summary, our data demonstrates aberrant activation of endocrine signaling in severe COVID-19, and its implication in immune and metabolic dysfunction.

摘要

患有糖尿病等先前存在的代谢紊乱的患者患严重 2019 冠状病毒病(COVID-19)的风险更高。线粒体是控制细胞代谢的细胞器,是了解细胞水平疾病进展的关键。我们目前的研究旨在了解细胞代谢如何影响 COVID-19 的结果。对来自健康对照者和轻度/中度或重度 COVID-19 患者的血液样本的 RNA 测序(RNASeq)数据中涉及细胞代谢、线粒体呼吸和组织调节以及细胞凋亡的差异表达基因(由线粒体和核脱氧核糖核酸(DNA)编码)进行 Metacore 途径富集分析。对富集途径中的基因进行网络分析,以揭示它们之间以及每个途径内上下游基因之间的相互作用。与轻度/中度 COVID-19 相比,严重组观察到大量生长因子和细胞周期信号通路的上调,同时干扰素信号通路下调。在排名前 10 的上调途径中发现了基质金属蛋白酶 9(,表明其作为 COVID-19 治疗靶点的潜力。总之,我们的数据表明严重 COVID-19 中存在内分泌信号的异常激活,及其对免疫和代谢功能障碍的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae8/9917147/c357f3d69409/ijms-24-02524-g001.jpg

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