State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100101, China.
Lipidall Technologies Company Limited, Changzhou, 213000, China.
J Genet Genomics. 2020 Feb 20;47(2):69-83. doi: 10.1016/j.jgg.2019.11.009. Epub 2019 Dec 18.
Mass spectrometry (MS)-based omics technologies are now widely used to profile small molecules in multiple matrices to confer comprehensive snapshots of cellular metabolic phenotypes. The metabolomes of cells, tissues, and organisms comprise a variety of molecules including lipids, amino acids, sugars, organic acids, and so on. Metabolomics mainly focus on the hydrophilic classes, while lipidomics has emerged as an independent omics owing to the complexities of the organismal lipidomes. The potential roles of lipids and small metabolites in disease pathogenesis have been widely investigated in various human diseases, but system-level understanding is largely lacking, which could be partly attributed to the insufficiency in terms of metabolite coverage and quantitation accuracy in current analytical technologies. While scientists are continuously striving to develop high-coverage omics approaches, integration of metabolomics and lipidomics is becoming an emerging approach to mechanistic investigation. Integration of metabolome and lipidome offers a complete atlas of the metabolic landscape, enabling comprehensive network analysis to identify critical metabolic drivers in disease pathology, facilitating the study of interconnection between lipids and other metabolites in disease progression. In this review, we summarize omics-based findings on the roles of lipids and metabolites in the pathogenesis of selected major diseases threatening public health. We also discuss the advantages of integrating lipidomics and metabolomics for in-depth understanding of molecular mechanism in disease pathogenesis.
基于质谱（MS）的组学技术现在被广泛用于分析多种基质中小分子的特征，以全面描绘细胞代谢表型的快照。细胞、组织和生物体的代谢组学包含多种分子，包括脂质、氨基酸、糖、有机酸等。代谢组学主要关注亲水性物质，而脂质组学作为一个独立的组学出现，是由于生物体脂质组的复杂性。脂质和小分子代谢物在各种人类疾病发病机制中的潜在作用已在广泛研究，但系统水平的理解在很大程度上仍然缺乏，这部分归因于当前分析技术在代谢物覆盖和定量准确性方面的不足。虽然科学家们一直在努力开发高覆盖率的组学方法，但代谢组学和脂质组学的整合正在成为一种新兴的机制研究方法。代谢组学和脂质组学的整合提供了代谢景观的完整图谱，能够进行全面的网络分析，确定疾病病理学中的关键代谢驱动因素，促进了在疾病进展过程中脂质与其他代谢物之间相互关系的研究。在这篇综述中，我们总结了基于组学的关于脂质和代谢物在威胁公众健康的某些主要疾病发病机制中的作用的发现。我们还讨论了整合脂质组学和代谢组学的优势，以深入了解疾病发病机制中的分子机制。
