Distinct metabolomic and proteomic signatures in Parkinson's disease patients with REM sleep behavior disorder

帕金森病伴快速眼动睡眠行为障碍患者的代谢组学和蛋白质组学特征独特

阅读:2

Abstract

Rapid eye movement sleep behavior disorder (RBD) is the most specific prodromal marker of Parkinson's disease (PD), affecting 40-50% of PD patients. PD with RBD (RBD-PD) represents a clinically aggressive subtype characterized by more severe motor and nonmotor symptoms, prominent autonomic dysfunction, and accelerated disease progression; however, its underlying pathogenesis remains poorly understood. Here, we integrated multiplatform metabolomics and proteomics with precise clinical phenotyping to delineate molecular signatures in plasma across different PD subtypes. Our analyses demonstrated that PD patients exhibit significant metabolic reprogramming, characterized by a shift in energy metabolism from the tricarboxylic acid cycle toward glycolysis, a dysregulated urea cycle, and lipid remodeling, as well as extensive activation of inflammatory and immune responses involving the PI3K-Akt, IL-17, NF-kappaB, MAPK and TNF signaling pathways. Notably, the RBD-PD subgroup exhibited distinctive metabolic disturbances characterized by the accumulation of gut microbiota-derived toxic aromatic amino acid catabolites. Importantly, these alterations were also observed in idiopathic RBD (iRBD) patients, representing the prodromal stage of PD. By integrating metagenomic profiles, we further revealed that gut microbial dysbiosis in RBD-PD and iRBD drives a functional shift away from dietary fiber fermentation and toward enhanced degradation of protein, aromatic amino acids, glycine, and intestinal mucin glycans. This metabolic reprogramming is associated with exacerbated oxidative stress, neuroinflammation, and accelerated pathological progression. These findings provide multiomic evidence that clarifies the molecular heterogeneity in PD and highlights gut microbiota-driven dysfunction as a key contributor to both the iRBD and RBD-PD subtypes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。