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基于气相色谱-质谱联用技术的组织代谢组学对心肌梗死的代谢特征分析

Metabolic Characterization of Myocardial Infarction Using GC-MS-Based Tissue Metabolomics.

作者信息

Wang Xingxing, Wang Dian, Wu Jiayan, Yu Xiaojun, Lv Junyao, Kong Jing, Zhu Guanghui, Su Ruibing

机构信息

Department of Forensic Medicine, Shantou University Medical College.

Department of Pathology, Shantou University Medical College 2nd Affiliated Hospital.

出版信息

Int Heart J. 2017 May 31;58(3):441-446. doi: 10.1536/ihj.16-432. Epub 2017 May 8.

DOI:10.1536/ihj.16-432
PMID:28484125
Abstract

Understanding the metabolic features of myocardial infarction (MI) is critical to its prevention and treatment. Here, we aimed to characterize the metabolic features of early MI using a tissue metabolomics method based on gas chromatography-mass spectrometry (GC-MS). Thirty-four pairs of infarcted myocardia and their matched non-infarcted myocardia were collected from 34 rats that underwent coronary artery ligation (CAL); their metabolic profiles were compared by GC-MS-based tissue metabolomics to characterize the metabolic features of MI. On the basis of differential metabolites, their diagnostic potential for MI was analyzed, and MI-related metabolic pathways were investigated. Serum samples before and post MI were used to validate the results obtained in myocardia. The metabolic profile of the infarcted myocardia was obviously different from that of the non-infarcted myocardia, as indicated by partial least squares discriminate analysis (PLS-DA) plots. Twenty-two metabolites were identified to be different between the infarcted myocardia and non-infarcted myocardia. These metabolic alterations reflect energy deficit, acidosis, oxidative stress, ionic imbalance, and cardiac injury post MI. Glutamine, glutamate, and lactate were confirmed to jointly confer a favorable potential for diagnosing MI, which can be well validated in serum.

摘要

了解心肌梗死(MI)的代谢特征对其预防和治疗至关重要。在此,我们旨在使用基于气相色谱-质谱联用(GC-MS)的组织代谢组学方法来表征早期MI的代谢特征。从34只接受冠状动脉结扎(CAL)的大鼠中收集了34对梗死心肌及其匹配的非梗死心肌;通过基于GC-MS的组织代谢组学比较它们的代谢谱,以表征MI的代谢特征。基于差异代谢物,分析它们对MI的诊断潜力,并研究与MI相关的代谢途径。MI前后的血清样本用于验证在心肌中获得的结果。偏最小二乘判别分析(PLS-DA)图表明,梗死心肌的代谢谱与非梗死心肌明显不同。在梗死心肌和非梗死心肌之间鉴定出22种代谢物存在差异。这些代谢改变反映了MI后能量缺乏、酸中毒、氧化应激、离子失衡和心脏损伤。谷氨酰胺、谷氨酸和乳酸被证实共同具有良好的MI诊断潜力,这在血清中可以得到很好的验证。

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