血清脂质组学分析鉴定缺血性脑卒中的潜在生物标志物:一项在中国成年人中的初步研究。

IF 4.1
Ji Jun Shi, Zu Jiao Nie, Shu Yao Wang, Hao Zhang, Xin Wei Li, Jia Ling Yao, Yi Bing Jin, Xiang Dong Yang, Xue Yang Zhang, Ming Zhi Zhang, Hao Peng
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引用次数: 0

摘要

目的:脂质氧化参与动脉粥样硬化的发病过程,并可能参与缺血性脑卒中的发生发展。然而,与IS相关的脂质谱研究很少。我们进行了一项初步研究,利用脂质组学分析确定潜在的is相关脂质分子和途径。方法:采用LC-MS对20例IS患者和20例年龄和性别匹配的健康对照进行血清脂质组学分析。同时进行单因素和多因素分析以确定差异脂质。使用错误发现率(FDR)方法控制多重测试。使用MetaboAnalyst软件进行富集分析。结果:基于294种脂质,采用主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)模型将IS患者与健康对照进行区分。56种差异脂质经fdr校正后的P < 0.05,可变影响投影(VIP)大于1.0。这些脂质在甘油磷脂代谢中显著富集(经fdr校正P = 0.009,影响评分= 0.216)。结论:IS患者与健康对照者血清脂质谱差异显著。因此,甘油磷脂代谢可能参与IS的发展。这些结果为脂质分子及其相关代谢物可能作为IS的新生物标志物和潜在治疗靶点提供了初步证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum Lipidomics Profiling to Identify Potential Biomarkers of Ischemic Stroke: A Pilot Study in Chinese Adults.

Objective: Lipid oxidation is involved in the pathogenesis of atherosclerosis and may be contribute to the development of Ischemic stroke (IS). However, the lipid profiles associated with IS have been poorly studied. We conducted a pilot study to identify potential IS-related lipid molecules and pathways using lipidomic profiling.

Methods: Serum lipidomic profiling was performed using LC-MS in 20 patients with IS and 20 age- and sex-matched healthy controls. Univariate and multivariate analyses were simultaneously performed to identify the differential lipids. Multiple testing was controlled for using a false discovery rate (FDR) approach. Enrichment analysis was performed using MetaboAnalyst software.

Results: Based on the 294 lipids assayed, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models were used to distinguish patients with IS from healthy controls. Fifty-six differential lipids were identified with an FDR-adjusted P less than 0.05 and variable influences in projection (VIP) greater than 1.0. These lipids were significantly enriched in glycerophospholipid metabolism (FDR-adjusted P = 0.009, impact score = 0.216).

Conclusions: Serum lipid profiles differed significantly between patients with IS and healthy controls. Thus, glycerophospholipid metabolism may be involved in the development of IS. These results provide initial evidence that lipid molecules and their related metabolites may serve as new biomarkers and potential therapeutic targets for IS.

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