[1]江韩梅 阮洪伟 刘 平 梁俊杰 江燕 罗钢.基于UHPLC-QE-MS技术识别冠心病稳定型心绞痛患者血清代谢组学特征[J].心血管病学进展,2025,(7):664.[doi:10.16806/j.cnki.issn.1004-3934.2025.07.018]
 JIANG Hanmei,RUAN Hongwei,LIU Ping,et al.Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS[J].Advances in Cardiovascular Diseases,2025,(7):664.[doi:10.16806/j.cnki.issn.1004-3934.2025.07.018]
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基于UHPLC-QE-MS技术识别冠心病稳定型心绞痛患者血清代谢组学特征()

《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2025年7期
页码:
664
栏目:
论著
出版日期:
2025-07-25

文章信息/Info

Title:
Identification of Serum Metabolomics Characteristics in Patients with Stable Angina Pectoris Using UHPLC-QE-MS
作者:
江韩梅 阮洪伟 刘 平 梁俊杰 江燕 罗钢
(西南医科大学 西南医科大学附属中医医院心血管内科 国家中医药临床研究基地,四川 泸州646000)
Author(s):
JIANG Hanmei RUAN HongweiLIU Ping LIANG Junjie JIANG Yan LUO Gang
(Southwest Medical University,Department of Cardiovascular Medicine,Affiliated Traditional Chinese Medicine Hospital,Southwest Medical University,National Traditional Chinese Medicine Clinical Research Base,Affiliated Traditional Chinese Medicine Hospital,Luzhou 646000,Sichuan, China)
关键词:
冠心病稳定型心绞痛代谢组学临床研究
Keywords:
Coronary heart diseaseStable angina pectorisMetabonomicsClinical study
DOI:
10.16806/j.cnki.issn.1004-3934.2025.07.018
摘要:
目的 稳定型心绞痛(SAP)是冠心病的主要类型之一。临床上需探索新的有利于SAP预防、早期诊断、治疗的方法,而实现这一目标的研究重点是新的生物标志物的发现。方法 本研究选择30例SAP 患者(SAP组)和30例无冠状动脉狭窄的患者(CON组)。先采用UHPLC-QE-MS技术检测两组血清代谢物,再采用多变量统计分析和途径分析评估血清代谢谱的变化。结果 OPLS-DA分析发现SAP组和CON组血清代谢谱存在显著差异,鉴定出25种差异代谢物,通路分析发现,这些差异代谢物参与了能量代谢、氧化应激、嘌呤代谢等代谢途径。 结论 通过比较SAP组与CON组的血清代谢谱,确定了25个潜在的生物标志物、 7个代谢通路,可用于指导SAP的预防、早期诊断和治疗。
Abstract:
Objective Stable angina pectoris(SAP) is one of the main types of coronary heart disease. New methods for the prevention,early diagnosis and treatment of SAP need to be explored clinically,and the research to achieve this goal focuses on the discovery of new biomarkers. Methods In this study,30 patients with SAP(SAP group) and 30 patients without coronary artery stenosis(CON group) were selected. First,UHPLC-QE-MS technology was used to detect serum metabolites in both groups,and then multivariate statistical analysis and pathway analysis were used to evaluate the changes in serum metabolic profiles. Results OPLS-DA analysis identified significant differences in the serum metabolic profiles between SAP group and CON group,and 25 differential metabolites were identified. Pathway analysis found that these differential metabolites were involved in energy metabolism,oxidative stress,purine metabolism,and other metabolic pathways. Conclusion By comparing the serum metabolic profiles of SAP group and CON group,25 potential biomarkers and 7 metabolic pathways were identified,which can be used to guide the prevention,early diagnosis and treatment of SAP.

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