1.中国中医科学院 西苑医院,国家中医心血管病临床医学研究中心,国家中医药管理局 病证结合防治 血管衰老重点研究室,北京 100091
2.广东药科大学 研究生院,广州 510006
徐仕晗,在读博士,从事中西医结合防治老年病研究,E-mail:xsh813703@163.com
徐凤芹,博士,主任医师,博士生导师,从事中西医结合防治老年病研究,E-mail:Dr.xufengqin@outlook.com
刘玥,博士,主任医师,博士生导师,从事中西医结合防治心血管病研究,E-mail:liuyue@188.com;
收稿:2024-08-22,
录用:2024-11-11,
网络出版:2024-11-08,
纸质出版:2025-03-05
移动端阅览
徐仕晗,刘艳飞,刘凤岚等.不同血瘀程度对冠心病患者认知功能及血浆差异代谢物的影响[J].中国实验方剂学杂志,2025,31(05):167-176.
XU Shihan,LIU Yanfei,LIU Fenglan,et al.Effect of Different Degrees of Blood Stasis on Cognitive Function and Plasma Differential Metabolites in Patients with Coronary Heart Disease[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(05):167-176.
徐仕晗,刘艳飞,刘凤岚等.不同血瘀程度对冠心病患者认知功能及血浆差异代谢物的影响[J].中国实验方剂学杂志,2025,31(05):167-176. DOI: 10.13422/j.cnki.syfjx.20250964.
XU Shihan,LIU Yanfei,LIU Fenglan,et al.Effect of Different Degrees of Blood Stasis on Cognitive Function and Plasma Differential Metabolites in Patients with Coronary Heart Disease[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(05):167-176. DOI: 10.13422/j.cnki.syfjx.20250964.
目的
2
通过横断面研究探索冠心病(CAD)血瘀证积分与轻度认知障碍(MCI)的相关性,以及冠心病合并轻度认知障碍(CADMCI)血瘀证的血浆代谢谱改变,并进一步探索不同血瘀程度对CADMCI患者血浆代谢物谱的影响。
方法
2
依据CAD及CAD血瘀证诊断标准,连续纳入来源于2022年10月至2023年10月于中国中医科学院西苑医院住院患者,根据蒙特利尔认知评估(MoCA)量表评分将入组患者分为CADMCI血瘀证组与CAD血瘀证组,通过多因素Logistic回归模型分析血瘀证积分与MCI之间的关联,绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC)评估模型灵敏性和特异性。依据血瘀证积分分别将CADMCI血瘀证组及CAD血瘀证组中前30位患者分为血瘀轻证及血瘀重证,采用超高效液相色谱-四极杆-飞行时间质谱法(UPLC-Q-TOF-MS/MS)对各组患者进行血浆代谢物检测,按照变量重要性投影(VIP)值≥1,差异倍数(FC)
<
0.67或
>
1.5,
P
<
0.05筛选差异代谢物,并进一步通过ROC曲线分析评估所筛选的差异代谢物对各分组样本的区分效能。
结果
2
本研究共纳入266例CAD患者。多因素Logistic回归分析表明,CAD血瘀证积分与MCI存在显著的相关性[比值比(OR)=1.619,95%置信区间(CI)1.223~2.142,
P
<
0.001,ROC曲线AUC为0.615(95% CI 0.547~0.683,
P
=0.001)],表明CAD血瘀证积分对MCI具有一定的预测价值。血浆非靶向代谢组学分析表明,CAD血瘀证与CADMCI血瘀证组间主要差异代谢物为脂质类代谢物,其中磷脂酰胆碱[20∶4(5
Z
,8
Z
,11
Z
,14
Z
)/P-18∶1(11
Z
)]具有最佳的区分效能(ROC曲线AUC=0.867,95% CI 0.754~0.942];进一步对血瘀轻证与血瘀重证差异代谢物分析表明,血瘀轻证与血瘀重证间同样以脂质类差异代谢物为主,其中1
α
,25-二羟基-2
β
-(2-羟基乙氧基)维生素D
3
具有区分CAD血瘀轻证与重证的最佳效能(AUC=0.813,95% CI 0.649~0.951),磷脂酰胆碱34∶2具有区分CADMCI血瘀轻证和重证的最佳效能(AUC=0.819,95% CI 0.640~0.941)。
结论
2
CAD血瘀证积分与MCI存在显著相关性,磷脂酰胆碱类代谢物在CADMCI血瘀证及血瘀重证发病机制中具有重要作用,CAD血瘀证积分结合磷脂酰胆碱类代谢物的检测能够为制定CADMCI的早期高效识别策略提供参考。
Objective
2
To explore the correlation between the blood stasis score of coronary heart disease(CAD) and mild cognitive impairment(MCI), as well as the changes in plasma metabolic profile of blood stasis in patients with CAD combined with MCI(CADMCI) through a cross-sectional study, and further explore the impact of different degrees of blood stasis on the plasma metabolite profile of CADMCI patients.
Methods
2
According to the diagnostic criteria of CAD and CAD blood stasis, patients hospitalized in Xiyuan Hospital of China Academy of Chinese Medical Sciences from October 2022 to October 2023 were continuously included. According to the Montreal Cognitive Assessment(MoCA) scale score, the enrolled patients were divided into CADMCI blood stasis group and CAD blood stasis group. The association between blood stasis score and MCI was analyzed by multivariate Logistic regression model. The receiver operating characteristic(ROC) curve was drawn, and the area under the curve(AUC) was calculated to evaluate the sensitivity and specificity of the model. According to the blood stasis score, the first 30 patients in the CADMCI blood stasis group and CAD blood stasis group were divided into mild blood stasis and severe blood stasis. Ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS) was used to detect plasma metabolites in each group of patients. The differential metabolites were screened according to variable importance in the projection(VIP) value≥1, fold change(FC)
<
0.67 or
>
1.5, and
P
<
0.05. ROC curve analysis was further used to evaluate the discriminatory efficiency of the screened differential metabolites for each group of samples.
Results
2
A total of 266 CAD patients were included in this study. Multivariate Logistic regression analysis showed that the CAD blood stasis score was significantly correlated with MCI[odds ratio(OR)=1.619, 95% confidence interval(CI) 1.223-2.142,
P
<
0.001, ROC curve AUC was 0.615(95% CI 0.547-0.683,
P
=0.001)], indicating that the CAD blood stasis score has a certain predictive value for MCI. Plasma non-targeted metabolomics analysis showed that the main differential metabolites between CAD blood stasis and CADMCI blood stasis were lipid metabolites, among which phosphatidylcholine[20∶4(5
Z
,
8
Z
, 11
Z
, 14
Z
)/P-18∶1(11
Z
)] had the best discriminatory efficiency(ROC curve AUC=0.867, 95% CI 0.754-0.942). Further analysis of the differential metabolites between mild and severe blood stasis showed that lipid metabolites were also the main differential metabolites between mild and severe blood stasis. Among them, 1
α
,25-dihydroxy-2
β
-(2-hydroxyethoxy) vitamin D
3
had the best efficacy in distinguishing mild and severe CAD blood stasis(AUC=0.813, 95% CI 0.649-0.951), and phosphatidylcholine 34∶2 had the best efficacy in distinguishing mild and severe CADMCI blood stasis(AUC=0.819, 95% CI 0.640-0.941).
Conclusion
2
There is a significant correlation between CAD blood stasis score and MCI. Phosphatidylcholine metabolites play an important role in the pathogenesis of CADMCI blood stasis and severe blood stasis. The CAD blood stasis score combined with the detection of phosphatidylcholine metabolites can provide a reference for the development of early and efficient identification strategies for CADMCI.
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