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脂质组学:慢性病检测的优秀工具。

Lipidomics: An excellent tool for chronic disease detection.

机构信息

School of Life Science, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vendalur, 600048, Chennai, India.

School of Life Science, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vendalur, 600048, Chennai, India.

出版信息

Curr Res Transl Med. 2022 Sep;70(4):103346. doi: 10.1016/j.retram.2022.103346. Epub 2022 Apr 26.

Abstract

It has been known as almost all the cells consists a lipid molecule which has a considerable impact in various biological processes. Lipids have been investigated with a potential role for the formation of cellular membrane and thereby maintaining the structural integrity. Omics has placed as a combined technologies utilized for an exploaration of mechanistic actions in several kinds of molecules that make up the cells of an organism. Lipidomics has been recognized as a newly emerged branch of omics technology. This technology has the captivating factors to classify and characterize almost all the cellular lipids with the help of various analytical techniques and computational biological plateform. In lipidomics studies, structural display of several lipid biomarkers could also be analyzed and considered for actual disease diagnosis procedures. This could also replace certain traditional diagnostics method at all over the globe. Our review focuses how important this lipidomics particularly in disease diagnosis and also covers various analytical techniques and computational methods or bioinformatics tools in for the diagnosis of disease. In addtion, we also pinponted the possible role of lipids in several kinds of cellular disorders including cancer, neurodegenerative diseases, cardiovascular diseases, diabetes and obesity in human population. .

摘要

几乎所有的细胞都由脂质分子组成,这一点已经众所周知,这些脂质分子在各种生物过程中都有重要影响。人们对脂质进行了研究,发现它们在细胞膜的形成中具有潜在作用,从而维持了细胞结构的完整性。组学是一种综合技术,用于探索构成生物体细胞的各种分子的机械作用。脂质组学已被认为是组学技术的一个新兴分支。该技术具有引人注目的因素,可以帮助我们利用各种分析技术和计算生物学平台来对几乎所有的细胞脂质进行分类和特征化描述。在脂质组学研究中,还可以对几种脂质生物标志物的结构进行分析,并考虑将其用于实际的疾病诊断程序。这甚至可能会在全球范围内取代某些传统的诊断方法。我们的综述重点介绍了脂质组学在疾病诊断中的重要性,同时还涵盖了用于疾病诊断的各种分析技术、计算方法或生物信息学工具。此外,我们还指出了脂质在包括癌症、神经退行性疾病、心血管疾病、糖尿病和肥胖症在内的多种细胞紊乱中的可能作用。

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