Liu Sufang, Zhao Qiang, Tang Jie, Li Xianhong, Wang Juan, Zhao Yuting, Yang Zhengting, Pan Xin, Xiang Rui, Tian Jing, Wang Puqing
Department of Neurology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China.
Hubei Provincial Clinical Research Center for Parkinson's Disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China.
CNS Neurosci Ther. 2025 May;31(5):e70424. doi: 10.1111/cns.70424.
OBJECTIVE: Metabolomics technology has been widely utilized to uncover the action mechanisms of Parkinson's Disease (PD) and to identify PD-related biomarkers. In this study, we compared plasma and fecal metabolite levels between PD patients and their healthy spouses (HS), aiming to identify the associations of differential metabolites with intestinal inflammation, intestinal barrier function, and clinical characteristics of PD. METHODS: Untargeted metabolomics techniques were used to characterize plasma and fecal metabolite profiles. We identified metabolites with elevated plasma levels in PD patients, while no significant differences were observed in fecal samples. Partial correlation analysis was employed to investigate the associations between these metabolites, markers of intestinal inflammation (calprotectin and lactoferrin), markers of intestinal permeability (α-1-antitrypsin and zonulin), and clinical characteristics of PD patients. RESULTS: The study identified ten metabolites that were significantly elevated in the plasma of PD patients compared to HS (p < 0.05), while their fecal concentrations did not differ significantly. Correlation analysis revealed that elevated levels of differential metabolites in the plasma of PD patients were associated with increased intestinal permeability and inflammation. Furthermore, five metabolites, including 3,4-Dihydroxyphenylglycol O-sulfate and Propyl gallate, were linked to PD symptoms. Receiver Operating Characteristic (ROC) curves demonstrated that these metabolites could effectively distinguish between PD patients and HS, with an area under the curve (AUC) of 0.94, indicating excellent predictive performance. CONCLUSIONS: This study identified significant metabolite alterations in PD patients and revealed their associations with intestinal barrier dysfunction and clinical characteristics of the disease.
目的:代谢组学技术已被广泛用于揭示帕金森病(PD)的作用机制并识别与PD相关的生物标志物。在本研究中,我们比较了PD患者与其健康配偶(HS)的血浆和粪便代谢物水平,旨在确定差异代谢物与肠道炎症、肠道屏障功能及PD临床特征之间的关联。 方法:采用非靶向代谢组学技术对血浆和粪便代谢物谱进行表征。我们鉴定出PD患者血浆中水平升高的代谢物,而粪便样本中未观察到显著差异。采用偏相关分析来研究这些代谢物、肠道炎症标志物(钙卫蛋白和乳铁蛋白)、肠道通透性标志物(α-1-抗胰蛋白酶和连蛋白)与PD患者临床特征之间的关联。 结果:该研究鉴定出与HS相比,PD患者血浆中有十种代谢物显著升高(p < 0.05),而其粪便浓度无显著差异。相关分析显示,PD患者血浆中差异代谢物水平升高与肠道通透性增加和炎症相关。此外,包括硫酸3,4-二羟基苯乙二醇和没食子酸丙酯在内的五种代谢物与PD症状相关。受试者工作特征(ROC)曲线表明,这些代谢物能够有效区分PD患者和HS,曲线下面积(AUC)为0.94,表明具有出色的预测性能。 结论:本研究确定了PD患者中显著的代谢物改变,并揭示了它们与肠道屏障功能障碍及疾病临床特征之间的关联。
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