Metabolomic Insights into COVID-19 Severity: A Scoping Review.

IF 3.4 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Metabolites Pub Date : 2024-11-12 DOI:10.3390/metabo14110617
Eric Pimentel, Mohammad Mehdi Banoei, Jasnoor Kaur, Chel Hee Lee, Brent W Winston
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引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusions: COVID-19 severity is intricately linked to significant metabolic alterations that span amino acid metabolism, energy production, immune response modulation, and redox balance.

代谢组学对 COVID-19 严重性的启示:范围审查。
背景:2019年,新型冠状病毒SARS-CoV-2肆虐全球,带来了一场全球性的健康危机,临床表现多种多样。代谢组学作为最接近症状学的omics,已经成为预测临床结果的有用工具。一些代谢组学研究表明,代谢组的变化与不同的疾病严重程度相对应,这凸显了代谢组学在揭示 SARS-CoV-2 感染的病理生理学方面的重要潜力:本范围界定综述遵循 PRISMA 指南。方法:本范围综述遵循 PRISMA 指南,检索了三个主要科学数据库:PubMed、Directory of Open Access Journals (DOAJ) 和 BioMed Central。初步确定了 2938 篇文章,并根据特定的纳入和排除标准进行了审查。其中,42 篇文章被检索出来进行分析和总结:结果:研究发现,代谢物随 COVID-19 及其严重程度而变化。苯丙氨酸、葡萄糖和谷氨酸随着病情的严重程度而增加,色氨酸、脯氨酸和谷氨酰胺则随着病情的严重程度而减少,这突出表明它们与 COVID-19 的严重程度有关。此外,通路分析表明,苯丙氨酸、酪氨酸和色氨酸的生物合成以及精氨酸的生物合成是对 COVID-19 严重程度影响最大的通路:结论:COVID-19 的严重程度与氨基酸代谢、能量产生、免疫反应调节和氧化还原平衡等方面的重大代谢改变密切相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabolites
Metabolites Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
5.70
自引率
7.30%
发文量
1070
审稿时长
17.17 days
期刊介绍: Metabolites (ISSN 2218-1989) is an international, peer-reviewed open access journal of metabolism and metabolomics. Metabolites publishes original research articles and review articles in all molecular aspects of metabolism relevant to the fields of metabolomics, metabolic biochemistry, computational and systems biology, biotechnology and medicine, with a particular focus on the biological roles of metabolites and small molecule biomarkers. Metabolites encourages scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on article length. Sufficient experimental details must be provided to enable the results to be accurately reproduced. Electronic material representing additional figures, materials and methods explanation, or supporting results and evidence can be submitted with the main manuscript as supplementary material.
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