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基于GC-TOF-MS结合代谢组学分析阳虚证缺血性脑卒中生物标志物的研究
李 婧,陈梓焜,马燕渝
0
(广西中医药大学,广西 南宁,530001)
摘要:
目的:运用气相色谱-飞行时间质谱联用技术(GC-TOF-MS)结合代谢组学方法探究缺血性脑卒中阳虚证患者与健康平和质人群血清中的代谢产物差异,总结缺血性卒中阳虚证相关生物标志物特点,从而进一步揭示疾病的发生机制。方法:将10 例缺血性脑卒中阳虚证患者作为观察组,10 例中医体质为平和质的健康者作为对照组。应用GC-TOF-MS结合代谢组学方法进行血清成分分析。结果:缺血性脑卒中阳虚证患者的差异代谢物包括甘氨酸、富马酸、天冬氨酸等27种代谢标记物。结论:临床上可应用以上代谢差异物作为诊断和治疗缺血性脑卒中的潜在生物标志物,有利于疾病早期诊断及治疗,从而降低病死率、致残率,值得临床推广及应用。
关键词:  缺血性脑卒中  阳虚证  GC-TOF-MS  代谢组学  生物标志物
DOI:
An analysis of biomarkers for ischemic stroke with syndrome of Yang deficiency based on gas chromatography/time-of-flight mass spectrometry combined with metabolomics
LI Jing,CHEN Zikun,MA Yanyu
(Guangxi University of Chinese Medicine,Nanning 530001,Guangxi,China)
Abstract:
Objective:To investigate the difference in serum metabolites between patients with ischemic stroke with syndrome of Yang deficiency and healthy individuals with normal constitution based on gas chromatography/time-of-flight mass spectrometry (GC-TOF-MS) combined with metabolomics,the features of biomarkers associated with ischemic stroke with syndrome of Yang deficiency,and the pathogenesis of the disease.Methods:A total of 10 patients with ischemic stroke with syndrome of Yang deficiency were enrolled as observation group,and 10 healthy individuals with normal constitution were enrolled as control group.GC-TOF-MS combined with metabolomics was used for serum component analysis.Results:There were 27 differentially expressed metabolites between the patients with ischemic stroke with syndrome of Yang deficiency and the healthy individuals with normal constitution,including glycine,fumaric acid,and aspartic acid.Conclusion:In clinical practice,differentially expressed metabolites can be used as potential biomarkers for the diagnosis and treatment of ischemic stroke and are beneficial for early diagnosis and treatment,thereby reducing mortality rate and disability rate,and therefore,it holds promise for clinical application.
Key words:  ischemic stroke  syndrome of Yang deficiency  gas chromatography/time-of-flight mass spectrometry  metabolomics  biomarker

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