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基于 LC-MS/MS 的脑血管狭窄患者血清代谢组学分析。

LC-MS/MS based metabolomic analysis of serum from patients with cerebrovascular stenosis.

机构信息

Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College, Beijing, China.

Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

J Pharm Biomed Anal. 2023 Oct 25;235:115608. doi: 10.1016/j.jpba.2023.115608. Epub 2023 Jul 28.

DOI:10.1016/j.jpba.2023.115608
PMID:37527609
Abstract

Cerebrovascular stenosis (CVS) is the main cause of ischemic stroke, which greatly threatens human life. Hence, it's important to perform early screenings for CVS. Metabolomics is an emerging omics approach that has great advantages in disease screening and diagnosis. Therefore, we aim to elucidate the correlation between CVS and metabolomics, which can aid in conducting CVS screening at an early stage. Patients with CVS in Beijing Hospital were included in the study. A total of 36 participants, including 18 patients diagnosed with CVS and 18 healthy individuals, were recruited at Beijing Hospital between May 2022 and October 2021. The serum samples were analyzed for liquid chromatography-tandem mass spectrometry (LC-MS/MS). Then, multivariate statistical methods, including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were performed. Differential metabolites were obtained and demonstrated by volcano plot and heatmap. The study recruited 36 participants, including 18 patients with CVS and 18 healthy participants. A total of 150 metabolites were identified. Multivariate statistical analysis revealed significant differences between patients and healthy participants. Furthermore, 30 serum metabolites levels differed significantly between two groups. Differential metabolites were enriched in phenylalanine, tyrosine, and tryptophan biosynthesis; primary bile acid biosynthesis, and other pathways. This study identified differential metabolites in patients with CVS and elucidated the relevant metabolic pathways. Thus, these findings aid in the study of the pathogenesis of CVS and its early diagnosis. DATA AVAILABILITY STATEMENT: The datasets generated for this study are available on request to the corresponding author.

摘要

脑血管狭窄(Cerebrovascular stenosis,CVS)是缺血性脑卒中的主要病因,极大地威胁着人类的生命。因此,早期筛查 CVS 非常重要。代谢组学是一种新兴的组学方法,在疾病筛查和诊断方面具有很大的优势。因此,我们旨在阐明 CVS 与代谢组学之间的相关性,这有助于早期进行 CVS 筛查。

本研究在北京医院纳入了 CVS 患者。2022 年 5 月至 2021 年 10 月期间,在北京医院共招募了 36 名参与者,包括 18 名经 CVS 诊断的患者和 18 名健康个体。对血清样本进行液相色谱-串联质谱(LC-MS/MS)分析。然后,采用主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)等多元统计方法进行分析。通过火山图和热图获得差异代谢物,并进行展示。

该研究共纳入 36 名参与者,包括 18 名 CVS 患者和 18 名健康参与者。共鉴定出 150 种代谢物。多元统计分析显示患者与健康参与者之间存在显著差异。此外,两组间有 30 种血清代谢物水平差异显著。差异代谢物在苯丙氨酸、酪氨酸和色氨酸生物合成;初级胆汁酸生物合成和其他途径中富集。

本研究鉴定出 CVS 患者的差异代谢物,并阐明了相关代谢途径。因此,这些发现有助于研究 CVS 的发病机制及其早期诊断。

DATA AVAILABILITY STATEMENT

The datasets generated for this study are available on request to the corresponding author.

数据可用性声明:本研究生成的数据集可应要求提供给通讯作者。

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