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代谢组学分析揭示了新型冠状病毒肺炎新的阶段特异性特征。

Metabolomic analyses reveal new stage-specific features of COVID-19.

作者信息

Jia Hongling, Liu Chaowu, Li Dantong, Huang Qingsheng, Liu Dong, Zhang Ying, Ye Chang, Zhou Di, Wang Yang, Tan Yanlian, Li Kuibiao, Lin Fangqin, Zhang Haiqing, Lin Jingchao, Xu Yang, Liu Jingwen, Zeng Qing, Hong Jian, Chen Guobing, Zhang Hao, Zheng Lingling, Deng Xilong, Ke Changwen, Gao Yunfei, Fan Jun, Di Biao, Liang Huiying

机构信息

Guangzhou Center for Disease Control and Prevention, Guangzhou, China.

Dept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China.

出版信息

Eur Respir J. 2022 Feb 24;59(2). doi: 10.1183/13993003.00284-2021. Print 2022 Feb.

Abstract

The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual and can provide extensive insights into their pathophysiological significance at each stage of disease. We provide a comprehensive view of metabolic characterisation of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both the discovery cohort and the validation cohort, which suggests that metabolic reprogramming of glucose metabolism and the urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and the urea cycle may be a viable approach to fight COVID-19 at various stages along the disease course.

摘要

截至目前,2019年冠状病毒病(COVID-19)大流行已影响超过1.6亿人,并在全球造成数百万例死亡,至少部分原因是该疾病的病理生理学尚不清楚。确定COVID-19的潜在分子机制对于战胜这一疫情至关重要。代谢物反映个体的疾病进展,并能在疾病的每个阶段为其病理生理意义提供广泛的见解。我们使用非靶向和靶向代谢组学分析,全面展示了COVID-19患者各阶段血清的代谢特征。与健康对照相比,我们在发现队列和验证队列中均观察到轻症、重症和康复阶段循环代谢物的不同变化模式,这表明糖代谢和尿素循环的代谢重编程是COVID-19进展的潜在病理机制。我们的研究结果表明,针对糖代谢和尿素循环可能是在疾病过程的各个阶段对抗COVID-19的可行方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5e8/8311281/555748c125c0/ERJ-00284-2021.01.jpg

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