Hu Changfeng, Wang Miao, Han Xianlin
College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Center for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, Orlando, FL 32827, USA.
Redox Biol. 2017 Aug;12:946-955. doi: 10.1016/j.redox.2017.04.030. Epub 2017 Apr 24.
Multi-dimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) has made profound advances for comprehensive analysis of cellular lipids. It represents one of the most powerful tools in analyzing lipids directly from lipid extracts of biological samples. It enables the analysis of nearly 50 lipid classes and thousands of individual lipid species with high accuracy/precision. The redox imbalance causes oxidative stress, resulting in lipid peroxidation, and alterations in lipid metabolism and homeostasis. Some lipid classes such as oxidized fatty acids, 4-hydroxyalkenal species, and plasmalogen are sensitive to oxidative stress or generated corresponding to redox imbalance. Therefore, accurate assessment of these lipid classes can provide not only the redox states, but also molecular insights into the pathogenesis of diseases. This review focuses on the advances of MDMS-SL in analysis of these lipid classes and molecular species, and summarizes their recent representative applications in biomedical/biological research. We believe that MDMS-SL can make great contributions to redox biology through substantiating the aberrant lipid metabolism, signaling, trafficking, and homeostasis under oxidative stress-related condition.
基于多维质谱的鸟枪法脂质组学(MDMS-SL)在细胞脂质的全面分析方面取得了重大进展。它是直接从生物样品的脂质提取物中分析脂质的最强大工具之一。它能够高精度/高精准度地分析近50种脂质类别和数千种单个脂质种类。氧化还原失衡会导致氧化应激,进而引发脂质过氧化以及脂质代谢和稳态的改变。一些脂质类别,如氧化脂肪酸、4-羟基烯醛类物质和缩醛磷脂,对氧化应激敏感或因氧化还原失衡而产生。因此,对这些脂质类别的准确评估不仅可以提供氧化还原状态,还能深入了解疾病的发病机制。本综述重点介绍了MDMS-SL在这些脂质类别和分子种类分析方面的进展,并总结了其在生物医学/生物学研究中的近期代表性应用。我们相信,MDMS-SL可以通过证实氧化应激相关条件下异常的脂质代谢、信号传导、运输和稳态,为氧化还原生物学做出巨大贡献。