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脂质组学揭示了代谢疾病中脂质组的复杂性。

Lipidomics unveils the complexity of the lipidome in metabolic diseases.

作者信息

Lydic Todd A, Goo Young-Hwa

机构信息

Department of Physiology, Michigan State University, East Lansing, MI, 48824, USA.

Department of Molecular and Cellular Physiology, Albany Medical College, 47 New Scotland Avenue, Albany, NY, 12208, USA.

出版信息

Clin Transl Med. 2018 Jan 26;7(1):4. doi: 10.1186/s40169-018-0182-9.

Abstract

Dysregulation of lipid metabolism is responsible for pathologies of human diseases including metabolic diseases. Recent advances in lipidomics analysis allow for the targeted and untargeted identification of lipid species and for their quantification in normal and diseased conditions. Herein, this review provides a brief introduction to lipidomics, highlights its application to characterize the lipidome at the cellular and physiological levels under different biological conditions, and discusses the potential for the use of lipidomics in the discovery of biomarkers.

摘要

脂质代谢失调是包括代谢性疾病在内的人类疾病发病机制的原因。脂质组学分析的最新进展使得能够对脂质种类进行靶向和非靶向鉴定,并在正常和疾病状态下对其进行定量。本文简要介绍了脂质组学,重点介绍了其在不同生物学条件下在细胞和生理水平上表征脂质组的应用,并讨论了脂质组学在生物标志物发现中的应用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d8/5786598/42bb1559c41c/40169_2018_182_Fig1_HTML.jpg

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