Mass spectrometric approaches in discovering lipid biomarkers for COVID-19 by lipidomics: Future challenges and perspectives

IF 6.9 2区 化学 Q1 SPECTROSCOPY Mass Spectrometry Reviews Pub Date : 2023-04-27 DOI:10.1002/mas.21848
Siddabasave Gowda B. Gowda, Chandra Shekhar, Divyavani Gowda, Yifan Chen, Hitoshi Chiba, Shu-Ping Hui
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Abstract

Coronavirus disease 2019 (COVID-19) has emerged as a global health threat and has rapidly spread worldwide. Significant changes in the lipid profile before and after COVID-19 confirmed the significance of lipid metabolism in regulating the response to viral infection. Therefore, understanding the role of lipid metabolism may facilitate the development of new therapeutics for COVID-19. Owing to their high sensitivity and accuracy, mass spectrometry (MS)-based methods are widely used for rapidly identifying and quantifying of thousands of lipid species present in a small amount of sample. To enhance the capabilities of MS for the qualitative and quantitative analysis of lipids, different platforms have been combined to cover a wide range of lipidomes with high sensitivity, specificity, and accuracy. Currently, MS-based technologies are being established as efficient methods for discovering potential diagnostic biomarkers for COVID-19 and related diseases. As the lipidome of the host cell is drastically affected by the viral replication process, investigating lipid profile alterations in patients with COVID-19 and targeting lipid metabolism pathways are considered to be crucial steps in host-directed drug targeting to develop better therapeutic strategies. This review summarizes various MS-based strategies that have been developed for lipidomic analyzes and biomarker discoveries to combat COVID-19 by integrating various other potential approaches using different human samples. Furthermore, this review discusses the challenges in using MS technologies and future perspectives in terms of drug discovery and diagnosis of COVID-19.

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通过脂质组学发现 COVID-19 脂质生物标记物的质谱方法:未来的挑战与展望
冠状病毒病 2019(COVID-19)已成为一种全球性健康威胁,并在全球范围内迅速蔓延。COVID-19前后血脂谱的显著变化证实了脂质代谢在调节病毒感染反应中的重要作用。因此,了解脂质代谢的作用有助于开发针对 COVID-19 的新疗法。基于质谱(MS)的方法因其高灵敏度和准确性,被广泛用于快速鉴定和量化少量样品中的数千种脂质。为了提高质谱对脂质进行定性和定量分析的能力,人们将不同的平台结合在一起,以高灵敏度、高特异性和高准确性覆盖各种脂质体。目前,基于 MS 的技术已成为发现 COVID-19 和相关疾病潜在诊断生物标记物的有效方法。由于宿主细胞的脂质组会受到病毒复制过程的严重影响,因此研究 COVID-19 患者的脂质谱变化和靶向脂质代谢途径被认为是宿主定向药物靶向以开发更好的治疗策略的关键步骤。本综述总结了已开发出的各种基于 MS 的脂质体分析和生物标记物发现策略,这些策略通过整合使用不同人体样本的其他各种潜在方法来对抗 COVID-19。此外,本综述还讨论了使用 MS 技术所面临的挑战以及 COVID-19 药物发现和诊断的未来前景。
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
Mass Spectrometry Reviews
Mass Spectrometry Reviews 物理-光谱学
CiteScore
16.30
自引率
3.00%
发文量
56
期刊介绍: The aim of the journal Mass Spectrometry Reviews is to publish well-written reviews in selected topics in the various sub-fields of mass spectrometry as a means to summarize the research that has been performed in that area, to focus attention of other researchers, to critically review the published material, and to stimulate further research in that area. The scope of the published reviews include, but are not limited to topics, such as theoretical treatments, instrumental design, ionization methods, analyzers, detectors, application to the qualitative and quantitative analysis of various compounds or elements, basic ion chemistry and structure studies, ion energetic studies, and studies on biomolecules, polymers, etc.
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