Evidence map›Paper›PMID 40640367›Full record

SynthesisScientific reports2025

Causal relationship between immune mediators and parkinson's disease: A Mendelian randomization analysis.

Ruqing Qiu, Yana Su, Lin Pan, Kangli Fan, Zhihui Sun, Yue Liang, Xiaoyue Lin, Ying Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Ruqing QiuDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Yana SuDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Lin PanDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Kangli FanDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Zhihui SunDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Yue LiangDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Xiaoyue LinDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Ying ZhangDepartment of Neurology, The First Hospital of Jilin University, Changchun, China. zhang_ying99@jlu.edu.cn.

Funding

Jilin Province Department of Finance Project NO. JLSWSRCZX2020-0011Jilin Province Health and Technology Innovation Project NO.2018J045the Natural Science Foundation of Jilin Province NO. YDZJ202201ZYTS116
6 · The paper itself

Abstract

Numerous studies have revealed a correlation between immune system dysfunction and Parkinson's disease (PD), yet the causal link between them remains unclear. To investigate the causal relationship between immune mediators and Parkinson's disease (PD), we conducted two independent Mendelian Randomization (MR) analyse using genetic variants associated with 731 immune cell phenotypes and 91 circulating inflammatory proteins as instrumental variables. The genetic variant data for immune cell phenotypes were derived from a genome-wide association study (GWAS) involving 3,757 individuals, while the genomic protein quantitative trait loci (pQTL) data for circulating inflammatory proteins were sourced from a GWAS dataset comprising 14,824 individuals of European descent. Additionally, we utilized PD risk data from a large meta-analysis of GWAS, which included 33,674 PD cases and 449,056 controls. Our primary analysis was conducted using the inverse-variance weighted (IVW) method, complemented by various Mendelian randomization (MR) approaches and sensitivity analyses to robustly assess the potential causal relationships between immune cell traits, inflammatory proteins, and PD risk. MR analysis reveals a significant causal link between 26 immune cell traits and the risk of PD. Of these, an increase in 15 traits, such as the proportion of resting CD4 regulatory T cells (OR = 1.039 [95% CI: 1.005-1.074], P = 0.024), is associated with a higher risk of PD. Conversely, an increase in 11 traits, such as the FSC-A of HLA DR + CD4 + T cells (OR = 0.934 [95% CI: 0.872-1.000], P = 0.0244), indicates a reduced risk of PD, a relationship that remains significant after false discovery rate (FDR) correction. Additionally, a significant causal relationship exists between four inflammatory proteins and PD risk, with two positively correlated and two negatively correlated with PD risk, all maintaining significance after FDR correction. This study reveals complex causal relationships between immune cells and inflammation-related proteins and the risk of Parkinson's disease (PD), emphasizing that even the same type of immune cell may play different roles at various stages of PD development.

Indexed as

Mendelian Randomization AnalysisParkinson DiseaseGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideQuantitative Trait LociCausal relationshipGenetic variantsImmune cellsInflammatory proteinsMendelian randomizationParkinson’s disease

Identifiers

PMID40640367
PMCPMC12246123

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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.