Pimentel Eric, Banoei Mohammad Mehdi, Kaur Jasnoor, Lee Chel Hee, Winston Brent W
Department of Critical Care, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Department of Biological Sciences, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Metabolites. 2024 Nov 12;14(11):617. doi: 10.3390/metabo14110617.
In 2019, SARS-CoV-2, the novel coronavirus, entered the world scene, presenting a global health crisis with a broad spectrum of clinical manifestations. Recognizing the significance of metabolomics as the omics closest to symptomatology, it has become a useful tool for predicting clinical outcomes. Several metabolomic studies have indicated variations in the metabolome corresponding to different disease severities, highlighting the potential of metabolomics to unravel crucial insights into the pathophysiology of SARS-CoV-2 infection.
The PRISMA guidelines were followed for this scoping review. Three major scientific databases were searched: PubMed, the Directory of Open Access Journals (DOAJ), and BioMed Central, from 2020 to 2024. Initially, 2938 articles were identified and vetted with specific inclusion and exclusion criteria. Of these, 42 articles were retrieved for analysis and summary.
Metabolites were identified that were repeatedly noted to change with COVID-19 and its severity. Phenylalanine, glucose, and glutamic acid increased with severity, while tryptophan, proline, and glutamine decreased, highlighting their association with COVID-19 severity. Additionally, pathway analysis revealed that phenylalanine, tyrosine and tryptophan biosynthesis, and arginine biosynthesis were the most significantly impacted pathways in COVID-19 severity.
COVID-19 severity is intricately linked to significant metabolic alterations that span amino acid metabolism, energy production, immune response modulation, and redox balance.
2019年，新型冠状病毒SARS-CoV-2出现，引发了一场具有广泛临床表现的全球健康危机。由于认识到代谢组学作为最接近症状学的组学的重要性，它已成为预测临床结果的有用工具。多项代谢组学研究表明，代谢组随疾病严重程度的不同而变化，这凸显了代谢组学在揭示SARS-CoV-2感染病理生理学关键见解方面的潜力。
本综述性研究遵循PRISMA指南。检索了三个主要科学数据库：PubMed、开放获取期刊目录（DOAJ）和BioMed Central，检索时间为2020年至2024年。最初，共识别出2938篇文章，并根据特定的纳入和排除标准进行审核。其中，42篇文章被检索出来进行分析和总结。
已鉴定出一些代谢物，这些代谢物在COVID-19及其严重程度变化时会反复出现改变。苯丙氨酸、葡萄糖和谷氨酸随疾病严重程度增加而升高，而色氨酸、脯氨酸和谷氨酰胺则降低，这凸显了它们与COVID-19严重程度的关联。此外，通路分析显示，苯丙氨酸、酪氨酸和色氨酸生物合成以及精氨酸生物合成是COVID-19严重程度中受影响最显著的通路。
COVID-19严重程度与显著的代谢改变密切相关，这些改变涉及氨基酸代谢、能量产生、免疫反应调节和氧化还原平衡。
