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基于离子淌度质谱的 X 连锁肾上腺脑白质营养不良的四维脂质组学分析。

Four-dimensional lipidomics profiling in X-linked adrenoleukodystrophy using trapped ion mobility mass spectrometry.

机构信息

Laboratory Genetic Metabolic Diseases, Department of Laboratory Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism Institute, Amsterdam, The Netherlands; Amsterdam Neuroscience institute, Amsterdam, The Netherlands.

Bruker Daltonics GmbH & Co. KG, Bremen, Germany.

出版信息

J Lipid Res. 2024 Jun;65(6):100567. doi: 10.1016/j.jlr.2024.100567. Epub 2024 May 23.

Abstract

Lipids play pivotal roles in an extensive range of metabolic and physiological processes. In recent years, the convergence of trapped ion mobility spectrometry and MS has enabled 4D-lipidomics, a highly promising technology for comprehensive lipid analysis. 4D-lipidomics assesses lipid annotations across four distinct dimensions-retention time, collisional cross section, m/z (mass-to-charge ratio), and MS/MS spectra-providing a heightened level of confidence in lipid annotation. These advantages prove particularly valuable when investigating complex disorders involving lipid metabolism, such as adrenoleukodystrophy (ALD). ALD is characterized by the accumulation of very-long-chain fatty acids (VLCFAs) due to pathogenic variants in the ABCD1 gene. A comprehensive 4D-lipidomics strategy of ALD fibroblasts demonstrated significant elevations of various lipids from multiple classes. This indicates that the changes observed in ALD are not confined to a single lipid class and likely impacts a broad spectrum of lipid-mediated physiological processes. Our findings highlight the incorporation of mainly saturated and monounsaturated VLCFA variants into a range of lipid classes, encompassing phosphatidylcholines, triacylglycerols, and cholesterol esters. These include ultra-long-chain fatty acids with a length of up to thirty carbon atoms. Lipid species containing C26:0 and C26:1 were the most frequently detected VLCFA lipids in our study. Furthermore, we report a panel of 121 new candidate biomarkers in fibroblasts, exhibiting significant differentiation between controls and individuals with ALD. In summary, this study demonstrates the capabilities of a 4D-lipid profiling workflow in unraveling novel insights into the intricate lipid modifications associated with metabolic disorders like ALD.

摘要

脂质在广泛的代谢和生理过程中起着关键作用。近年来,被困离子淌度谱和 MS 的结合实现了 4D-脂质组学,这是一种用于全面脂质分析的很有前途的技术。4D-脂质组学评估脂质注释在四个不同的维度上的保留时间、碰撞截面、m/z(质荷比)和 MS/MS 谱,从而提供更高的脂质注释置信度。当研究涉及脂质代谢的复杂疾病,如肾上腺脑白质营养不良(ALD)时,这些优势尤其有价值。ALD 的特征是由于 ABCD1 基因的致病变体,导致非常长链脂肪酸(VLCFAs)的积累。对 ALD 成纤维细胞的全面 4D-脂质组学策略表明,多种脂质类别的各种脂质显著升高。这表明在 ALD 中观察到的变化不仅限于单个脂质类别,并且可能对广泛的脂质介导的生理过程产生影响。我们的研究结果强调了主要饱和和单不饱和 VLCFA 变体掺入多种脂质类别的情况,包括磷脂酰胆碱、三酰基甘油和胆固醇酯。这些包括长度达三十个碳原子的超长链脂肪酸。在我们的研究中,脂质物种含有 C26:0 和 C26:1 是最常检测到的 VLCFA 脂质。此外,我们报告了在成纤维细胞中存在 121 种新的候选生物标志物,它们在对照和 ALD 个体之间表现出显著的差异。总之,本研究展示了 4D-脂质分析工作流程在揭示与代谢紊乱相关的复杂脂质修饰方面的新见解的能力,如 ALD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e03d/11234049/09adc410d7ef/ga1.jpg

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