Pereira Pedro A B, Trivedi Drupad K, Silverman Justin, Duru Ilhan Cem, Paulin Lars, Auvinen Petri, Scheperjans Filip
Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Haartmaninkatu 4, 00290, Helsinki, Finland.
Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Viikinkaari 5D, 00014, Helsinki, Finland.
NPJ Parkinsons Dis. 2022 Apr 11;8(1):39. doi: 10.1038/s41531-022-00300-3.
We aimed to investigate the link between serum metabolites, gut bacterial community composition, and clinical variables in Parkinson's disease (PD) and healthy control subjects (HC). A total of 124 subjects were part of the study (63 PD patients and 61 HC subjects). 139 metabolite features were found to be predictive between the PD and Control groups. No associations were found between metabolite features and within-PD clinical variables. The results suggest alterations in serum metabolite profiles in PD, and the results of correlation analysis between metabolite features and microbiota suggest that several bacterial taxa are associated with altered lipid and energy metabolism in PD.
我们旨在研究帕金森病（PD）患者和健康对照者（HC）血清代谢物、肠道细菌群落组成与临床变量之间的联系。共有124名受试者参与了该研究（63名PD患者和61名HC受试者）。发现139种代谢物特征在PD组和对照组之间具有预测性。未发现代谢物特征与PD患者内部临床变量之间存在关联。结果表明PD患者血清代谢物谱发生了改变，代谢物特征与微生物群之间的相关性分析结果表明，几种细菌分类群与PD患者脂质和能量代谢改变有关。
