Evidence map›Paper›PMID 41601681›Full record

ArticleFrontiers in immunology2025

Single-cell transcriptome-wide Mendelian randomization identifies mitochondrial targets in immune cells for Major Depressive Disorder.

Yangyi Zhang, Fei Zhang, Xingyi Shen, Maoyuan Ni, Jiayi Zhang, Shunling Zhang, Jingwen Lin, Zhaoyang Yang, Huangwei Lei

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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

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

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

9 authors.

Yangyi Zhang *Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Fei Zhang *School of Rehabilitation Medicine, Gannan Medical University, Ganzhou, Jiangxi, China.
Xingyi ShenFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Maoyuan NiFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Jiayi ZhangFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Shunling ZhangFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Jingwen LinFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Zhaoyang YangFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Huangwei LeiFujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A critical need exists for objective biomarkers and novel therapeutic targets in major depressive disorder (MDD). Although dysfunction in mitochondrial immunometabolism is implicated in MDD, the specific causal genes suitable for clinical translation remain largely unidentified. This study aimed to bridge this gap by identifying mitochondria-related genes that have a causal impact on MDD risk through their expression in specific immune cells. Methods: We integrated multi-omics data with machine learning to pinpoint key mitochondria-related energy metabolism genes (MEMRGs) linked to immune cell infiltration, assessed via ssGSEA and CIBERSORT algorithms. Cell-type-specific two-sample Mendelian randomization (MR) was employed to evaluate causal relationships between gene expression and MDD risk. Findings were validated in a chronic unpredictable mild stress (CUMS) rat model. Results: Our analysis identified five genes- Conclusion: This study provides robust genetic evidence establishing a causal link between the expression of specific mitochondrial genes in immune cells and the risk of MDD. By prioritizing

Indexed as

Major Depressive DisorderMitochondriaTranscriptomeAnimalsDisease Models, AnimalEnergy MetabolismGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisRatsSingle-Cell AnalysisSingle-Cell Gene Expression Analysisimmune cell eQTLmachine learningMajor Depressive DisorderMendelian randomizationmitochondrial energy metabolism

Identifiers

PMID41601681
PMCPMC12832325

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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.