Evidence map›Paper›PMID 42177729›Full record

ArticleAMB Express2026

Exploratory gut microbiota-host interaction in parkinson's disease: integrative multi-omics analysis of metabolic and epigenetic pathways.

Guangli Li, Xiaoping Ye, Tao Zhou, Zhiyou Zhou, Yijia Min, Hui Song, Xinghui Liu

Abstract read
In one paragraph

Article in AMB Express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Guangli Li *Postgraduate training base at Shanghai Gongli hospital, Ningxia medical university, Shanghai, 200135, China.
Xiaoping Ye *Shanghai DIAN Medical Laboratory Co., Ltd, Shanghai, 200433, China.
Tao Zhou *Shanghai DIAN Medical Laboratory Co., Ltd, Shanghai, 200433, China.
Zhiyou ZhouShanghai DIAN Medical Laboratory Co., Ltd, Shanghai, 200433, China.
Yijia MinShanghai DIAN Medical Laboratory Co., Ltd, Shanghai, 200433, China.
Hui SongDepartment of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai University of Medicine & Health Sciences, Shanghai, 200135, China.
Xinghui LiuDepartment of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai University of Medicine & Health Sciences, Shanghai, 200135, China. syliuxh@163.com.

Funding

the Key Disciplines Group Construction Project of Pudong Health Bureau of Shanghai PWZxq2022-08
6 · The paper itself

Abstract

Mounting evidence has associated gut microbial composition and systemic metabolic profiles with Parkinson's disease (PD), yet causal pathways and molecular mechanisms remain unclear. We employed a systematic two-stage analytical framework integrating multiple Mendelian randomization (MR) approaches, transcriptome and epigenome-wide regulatory analyses, and colocalization analysis to genetically dissect the microbiota-host regulatory network implicated in PD susceptibility. Initially, two-sample MR was performed using gut microbiota data from the MiBioGen consortium, followed by an independent replication MR analysis using mbQTL data from the Dutch Microbiome Project (DMP). The two-step MR approach was employed to identify potential mediation of blood metabolites. Summary data-based MR (SMR) methods were also used to pinpoint key blood metabolic genes and regulatory regions associated with PD risk, with the combination of PD GWAS data, blood expression quantitative trait loci (eQTLs), and DNA methylation quantitative trait loci (mQTLs). Colocalization analyses were performed to explore interactions between host metabolic gene expression and the gut microbiota using blood expression quantitative trait loci (eQTLs) and fecal microbial quantitative trait loci (mbQTLs). Our multi-stage analyses identified five microbial taxa with nominal positive associations with Parkinson's disease (PD), including class Clostridia, order Bacillales, and genera Clostridium sensu stricto 1, Dorea, and Lachnospiraceae UCG001. By contrast, three additional microbial genera (Butyricimonas, Defluviitaleaceae UCG011 and Marvinbryantia) exhibited nominal protective correlations with PD. Cross-cohort analyses further indicated a shared correlation pattern along the Clostridia-Clostridiales-Clostridiaceae/Lachnospiraceae taxonomics potentially linking to PD risk across both discovery and validation cohorts. Mediation analyses indicated that betaine may mediate the Lachnospiraceae UCG001-PD associations, while androstenediol monosulfate may serve as a mediator linking Clostridium sensu stricto 1 to PD. SMR analysis highlights genes like SH2B1, JUP, as key host metabolic genes with potential causal relevance to PD, with colocalization indicating genetic overlaps supporting their potential involvement in gene-microbiota interactions. These findings deepen our understanding of gut-brain axis dysregulation in PD and may provide novel insights for future mechanistic validation and targeted preventive or therapeutic investigations.

Indexed as

Gut microbiotaJUPMendelian randomizationMetabolismParkinson’s diseaseSH2B1

Identifiers

PMID42177729
PMCPMC13376093

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Registered trials

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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.