Javanshad Roshan, Li Wenping, Pathmasiri Koralege C, Cologna Stephanie M
Department of Chemistry, University of Illinois Chicago, Chicago, 60607, IL, USA.
Laboratory for Integrative Neuroscience, University of Illinois Chicago, Chicago, 60607, IL, USA.
Lipids Health Dis. 2025 Jul 30;24(1):254. doi: 10.1186/s12944-025-02675-7.
Niemann-Pick type C (NPC) disease is a devastating, fatal, neurodegenerative disease and a form of lysosomal storage disorder. It is caused by mutations in either NPC1 or NPC2 genes, leading to the accumulation of cholesterol and other lipids in the late endosome/lysosome system, a hallmark of the disease. Due to aberrant lipid trafficking in NPC, various techniques have been employed to study cholesterol and lipid dysregulation. Among them, mass spectrometry (MS)-based lipidomics has emerged as a state-of-the-art approach, providing valuable insights into disease pathophysiology, progression, and therapeutic target development. This review highlights the MS instruments used for lipidomics studies and discusses lipid biomarkers identified using MS in the context of NPC disease. Furthermore, integrating lipidomics with other -omics approaches, and leveraging the power of artificial intelligence, should be prioritized in future studies to holistically understand NPC disease.
尼曼-匹克C型(NPC)病是一种毁灭性的、致命的神经退行性疾病,属于溶酶体贮积症的一种形式。它由NPC1或NPC2基因突变引起,导致晚期内体/溶酶体系统中胆固醇和其他脂质的积累,这是该疾病的一个标志。由于NPC中脂质转运异常,人们采用了各种技术来研究胆固醇和脂质失调。其中,基于质谱(MS)的脂质组学已成为一种先进的方法,为疾病的病理生理学、进展和治疗靶点开发提供了有价值的见解。本综述重点介绍了用于脂质组学研究的MS仪器,并讨论了在NPC病背景下使用MS鉴定的脂质生物标志物。此外,在未来的研究中,应优先将脂质组学与其他“组学”方法相结合,并利用人工智能的力量,以全面了解NPC病。