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利用气相色谱-质谱联用技术和化学计量学鉴定脑梗死潜在诊断生物标志物

Identification of potential diagnostic biomarkers of cerebral infarction using gas chromatography-mass spectrometry and chemometrics.

作者信息

Li Ming-Jiao, Xiao Hong, Qiu Yi-Xing, Huang Jian-Hua, Man Rong-Yong, Qin Yan, Xiong Guang-Hua, Peng Qing-Hua, Jian Yu-Qing, Peng Cai-Yun, Zhang Wei-Ning, Wang Wei

机构信息

TCM and Ethnomedicine Innovation & Development Laboratory, Sino-Pakistan TCM and Ethnomedicine Research Center, School of Pharmacy, Hunan University of Chinese Medicine Changsha China

Department of Neurology, The First People's Hospital of Huaihua Huaihua China.

出版信息

RSC Adv. 2018 Jun 21;8(41):22866-22875. doi: 10.1039/c8ra03132k.

DOI:10.1039/c8ra03132k
PMID:35540152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9081573/
Abstract

Cerebral infarction (CI) is one of the most common cerebrovascular diseases and remains a major health problem worldwide. In this study, we evaluated the potential diagnostic biomarkers and important relevant metabolic pathways associated with CI. Metabolomics based on gas chromatography-mass spectrometry coupled with the multivariate pattern recognition technique were used to characterize the potential serum metabolic profiles of CI. Forty healthy controls and thirty-three cerebral infarction patients were recruited for the nontargeted global metabolites' study and subsequent targeted fatty acid analysis. Overall, thirty-four endogenous metabolites were found in serum from the untargeted global study, four of which were detected to be significantly different between the CI group and healthy controls, including l-lysine, octadecanoic acid (fatty acid), l-tyrosine and lactic acid. Additionally, fourteen free fatty acids were identified by the subsequent targeted fatty acid analysis, and seven of them were detected to be significantly different between the CI group and healthy controls, which were mainly associated with arachidonic acid metabolism and fatty acid metabolism. Our results suggest several potential diagnostic biomarkers, and serum metabolism research is demonstrated as a powerful tool to explore the pathogenesis of CI.

摘要

脑梗死(CI)是最常见的脑血管疾病之一,仍然是全球范围内的一个主要健康问题。在本研究中,我们评估了与脑梗死相关的潜在诊断生物标志物和重要的相关代谢途径。基于气相色谱-质谱联用多变量模式识别技术的代谢组学方法被用于表征脑梗死潜在的血清代谢谱。招募了40名健康对照者和33名脑梗死患者进行非靶向全局代谢物研究及随后的靶向脂肪酸分析。总体而言,在非靶向全局研究的血清中发现了34种内源性代谢物,其中4种在脑梗死组和健康对照者之间存在显著差异,包括L-赖氨酸、十八烷酸(脂肪酸)、L-酪氨酸和乳酸。此外,通过随后的靶向脂肪酸分析鉴定出14种游离脂肪酸,其中7种在脑梗死组和健康对照者之间存在显著差异,主要与花生四烯酸代谢和脂肪酸代谢相关。我们的结果提示了几种潜在的诊断生物标志物,血清代谢研究被证明是探索脑梗死发病机制的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/aa319ecf39ce/c8ra03132k-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/45036c25cb01/c8ra03132k-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/182bb82d7720/c8ra03132k-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/a780be361fe4/c8ra03132k-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/aa319ecf39ce/c8ra03132k-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/45036c25cb01/c8ra03132k-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/182bb82d7720/c8ra03132k-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/a780be361fe4/c8ra03132k-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d15b/9081573/aa319ecf39ce/c8ra03132k-f4.jpg

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