Evidence map›Paper›PMID 41872227›Full record

ArticleScientific reports2026

Cerebrospinal fluid and plasma metabolites in Parkinson's disease: a Mendelian randomization study.

Jia-Li Wang, Qianhui Zhao, Ran Zheng, Yi Fang, Jin Cao, Bao-Rong Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jia-Li Wang *Department of Neurology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, People's Republic of China.
Qianhui Zhao *Department of Neurology, The Fourth Affiliated Hospital, and International School of Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Ran ZhengDepartment of Neurology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, People's Republic of China.
Yi FangDepartment of Neurology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, People's Republic of China.
Jin CaoDepartment of Neurology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, People's Republic of China.
Bao-Rong ZhangDepartment of Neurology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, People's Republic of China. brzhang@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites in cerebrospinal fluid (CSF) and plasma have been implicated in Parkinson's disease (PD), but their causal roles remain unclear. This study aims to investigate the causal relationships between specific CSF and plasma metabolites and PD risk, using Mendelian Randomization (MR) analysis. We utilized MR with inverse-variance weighting (IVW) as the primary analytical method, supplemented by four additional MR models to validate robustness. Data included 1,400 plasma metabolites from the Canadian Longitudinal Study on Aging, and 338 CSF metabolites from the Wisconsin Alzheimer's Disease Research Center and Wisconsin Registry for Alzheimer's Prevention, USA. metabolites from the Canadian Longitudinal Study on Aging. PD outcome data were obtained from a GWAS meta-analysis by the International Parkinson's Disease Genomics Consortium. MR analysis identified six CSF metabolites with suggestive causal relationships with PD. Dimethylglycine, gluconate, oxalate (ethanedioate), and an unknown metabolite (X-12015) were positively associated with PD risk, while (1-enyl-palmitoyl)-2-arachidonoyl-GPC (P-16:0/20:4) and an unknown compound (X-23587) were negatively associated. In plasma, 49 metabolites demonstrated suggestive causal relationships with PD risk. Key metabolites included hydroxy-3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (hydroxy-CMPF), carnitine C14, and 1-dihomo-linolenylglycerol (20:3) with positive associations, and tryptophan, succinate to acetoacetate ratio, and O-sulfo-L-tyrosine with negative associations. Notably, O-sulfo-L-tyrosine emerged as the most significant protective metabolite in plasma, showing robust associations across four MR models. This study highlights causal relationships between specific CSF and plasma metabolites and PD risk, underscoring O-sulfo-L-tyrosine as a potential biomarker and therapeutic target. These findings provide a foundation for further exploration of metabolic pathways in PD pathogenesis and intervention strategies.

Indexed as

Mendelian Randomization AnalysisParkinson DiseaseBiomarkersCanadaGenome-Wide Association StudyHumansLongitudinal StudiesMaleMetabolomeBiomarkersCerebrospinal fluid metabolitesMendelian randomizationMetabolomicsParkinson’s diseasePlasma metabolites

Identifiers

PMID41872227
PMCPMC13009158

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.