Evidence map›Paper›PMID 40273394›Full record

ArticleNeurology2025

Investigating Plasma Metabolomics and Gut Microbiota Changes Associated With Parkinson Disease: A Focus on Caffeine Metabolism.

Chieh-Chang Chen, Jian-Ying Chiu, Ai Huey Tan, Tzi Shin Toh, Shen-Yang Lim, Eng King Tan, Sven Pettersson, Cheng-Chih Hsu, Jyh-Ming Liou, Ming-Shiang Wu and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Beyond bacteria: a multi-omics view of the gut-brain axis in Parkinson's disease.Frontiers in cellular and infection microbiology · 2026
    Pooled it
  3. Article
  4. 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

12 authors.

Chieh-Chang ChenGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Jian-Ying ChiuDepartment of Medical Research, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei.
Ai Huey TanDivision of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-2979-3839
Tzi Shin TohDivision of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Shen-Yang LimDivision of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-6942-2522
Eng King TanDepartment of Neurology, Singapore General Hospital.ORCID 0000-0003-2977-9743
Sven PetterssonASEAN Microbiome Nutrition Centre, National Neuroscience Institute, Singapore.
Cheng-Chih HsuDepartment of Chemistry, National Taiwan University, Taipei.ORCID 0000-0003-4563-4341
Jyh-Ming LiouDivision of Gastroenterology and Hepatology, epartment of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei.
Ming-Shiang WuDivision of Gastroenterology and Hepatology, epartment of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei.
Chia-Lang HsuDepartment of Medical Research, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei.
Chin-Hsien LinDepartment of Medical Research, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei.ORCID 0000-0001-8566-7573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCoffee intake is linked to a reduced risk of Parkinson disease (PD), but whether this effect is mediated by gut microbiota and metabolomic changes remains unclear. This study examines PD-associated metabolomic shifts, caffeine metabolism, and their connection to gut microbiome alterations in a multicenter study.

methodsWe conducted an untargeted serum metabolomic assay using liquid chromatography with high-resolution mass spectrometry on an exploratory cohort recruited from National Taiwan University Hospital (NTUH). A targeted metabolomic assay focusing on caffeine and its 12 downstream metabolites was conducted and validated in an independent cohort from University Malaya Medical Centre (UMMC). In the exploratory cohort, the association of each caffeine metabolite with gut microbiota changes was investigated by metagenomic shotgun sequencing. A clustering-based approach was used to correlate microbiome changes with plasma caffeine metabolite level and clinical severity. Body mass index, antiparkinsonism medication use, and dietary habits (including coffee and tea intake) were recorded.

resultsSixty-three patients with PD and 54 controls from NTUH formed the exploratory cohort while 36 patients with PD and 20 controls from UMMC served as an validation cohort to replicate the plasma caffeine findings. A total of 5,158 metabolites were detected from untargeted metabolomic analysis, with 3,131 having high confidence for analysis. Compared with controls, the abundance of 56 metabolites was significantly higher and that of 7 metabolites was significantly lower (adjusted DISCUSSION: This study identifies PD-related changes in microbial-caffeine metabolism compared with controls. Our findings offer insights for future functional research on caffeine-microbiome interactions in PD.

Indexed as

CaffeineGastrointestinal MicrobiomeParkinson DiseaseAgedCoffeeCohort StudiesFemaleHumansMaleMetabolomicsMiddle AgedTaiwanCaffeineCoffee

Identifiers

PMID40273394
PMCPMC12022887

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.