Using an untargeted metabolomics approach to analyze serum metabolites in COVID-19 patients with nucleic acid turning negative

• DOI: 10.3389/fphar.2022.964037
• Publication Date: 2022-08-24T06:39:23Z
• Authors: Wenyu Chen; Ming Yao; Miaomiao Chen; Zhao Ou; Qi Yang; Yanbin He; Ning Zhang; Min Deng; Yuqi Wu; Rongchang Chen; Xiaoli Tan; Ziqing Kong
• Keywords: Metabolome

Background: The coronavirus disease of 2019 (COVID-19) is a severe public health issue that has infected millions people. effective prevention and control COVID-19 resulted in considerable increase the number cured cases. However, little research been done on complete metabonomic examination metabolic alterations patients following treatment. current project pursues rigorously to characterize variation serum metabolites between healthy controls with nucleic acid turning negative via untargeted metabolomics. Methods: difference 20 (CT ≥ 35) were investigated utilizing metabolomics analysis employing High-resolution UHPLC-MS/MS. patients' fundamental clinical indicators, as well controls, also collected. Results: Out 714 identified, 203 still significantly differed including multiple amino acids, fatty glycerophospholipids. indexes monocytes, lymphocytes, albumin concentration, total bilirubin direct have our two groups participators. Conclusion: Our results clearly showed negative, their metabolism was dysregulated lipid metabolism, which could be mechanism long-COVID calls for specific post-treatment care help recover.