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通过16S rDNA测序和液相色谱-质谱联用技术分析帕金森病疼痛患者的肠道微生物群和血浆代谢物变化

Changes in gut microbiota and plasma metabolites in Parkinson's disease patients with pain as analyzed by 16S rDNA sequencing and LC-MS.

作者信息

Yang Bo, Jiang Tianfang, Li Yangdanyu, Liu Yuning, Lin Zihao, Fang Yating, Xu Chuanying

机构信息

Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Department of Neurology, Shanghai Municipal Eighth People's Hospital, 8 Caobao Road, Shanghai, China.

出版信息

Brain Res. 2025 Nov 1;1866:149948. doi: 10.1016/j.brainres.2025.149948. Epub 2025 Sep 12.

DOI:10.1016/j.brainres.2025.149948
PMID:40947000
Abstract

Pain is a common non-motor symptom of Parkinson's disease (PD) that significantly impacts patients' quality of life. Recently, the role of the gut-brain axis in the pathogenesis of PD has garnered considerable attention. However, the relationship between gut microbiota-induced changes in plasma metabolites and PD-associated pain remains poorly understood. To address this, we analyzed 64 PD patients with pain (PDP), 36 non-PD individuals with pain (nPDP), and 50 healthy controls (HC). Using 16S rDNA gene sequencing and ultra-high-performance liquid chromatography-tandem mass spectrometry (LC-MS), we characterized and compared the gut microbiota and plasma metabolite profiles across these groups. Additionally, correlation analyses were conducted to identify meaningful associations between microbial and metabolite data. Our findings revealed significant differences among the PDP, nPDP, and HC groups, particularly in taxa such as Bacteroidales, Gammaproteobacteria, and Faecalibacterium prausnitzii. KEGG function prediction indicated that bacterial colony function was primarily related to carbohydrate metabolism, amino acid metabolism, and energy metabolism. Plasma metabolomic analysis identified 16 differentially accumulated metabolites between the nPDP and PDP groups, with notable contributions from 12-ketodeoxycholic acid (12-KCAc), dihydroouabain (DHO), and lysophosphatidic acid (LysoPA). Furthermore, a significant negative correlation was observed between LysoPA and Faecalibacterium, while 12-ketodeoxycholic acid exhibited a positive correlation with Clostridium and Romboutsia. This study suggests that PDP patients have distinct gut microbiota and metabolic profiles, which may contribute to the pain experience in PD patients. These divergent microbial and metabolite signatures may provide insight into potential mechanisms linking the gut-brain axis to pain in PD.

摘要

疼痛是帕金森病(PD)常见的非运动症状,会显著影响患者的生活质量。最近,肠-脑轴在PD发病机制中的作用受到了广泛关注。然而,肠道微生物群引起的血浆代谢物变化与PD相关性疼痛之间的关系仍知之甚少。为了解决这个问题,我们分析了64例伴有疼痛的PD患者(PDP)、36例伴有疼痛的非PD个体(nPDP)和50名健康对照者(HC)。我们使用16S rDNA基因测序和超高效液相色谱-串联质谱(LC-MS)对这些组的肠道微生物群和血浆代谢物谱进行了表征和比较。此外,还进行了相关性分析,以确定微生物和代谢物数据之间有意义的关联。我们的研究结果显示,PDP、nPDP和HC组之间存在显著差异,特别是在拟杆菌目、γ-变形菌纲和普拉梭菌等分类群中。KEGG功能预测表明,菌落功能主要与碳水化合物代谢、氨基酸代谢和能量代谢有关。血浆代谢组学分析确定了nPDP组和PDP组之间有16种差异积累的代谢物,其中12-酮脱氧胆酸(12-KCAc)、双氢哇巴因(DHO)和溶血磷脂酸(LysoPA)的贡献显著。此外,观察到LysoPA与普拉梭菌之间存在显著负相关,而12-酮脱氧胆酸与梭菌属和罗姆布茨菌属呈正相关。这项研究表明,PDP患者具有独特的肠道微生物群和代谢谱,这可能导致PD患者的疼痛体验。这些不同的微生物和代谢物特征可能有助于深入了解将肠-脑轴与PD疼痛联系起来的潜在机制。

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