Evidence map›Paper›PMID 41555281›Full record

ArticleBMC psychiatry2026

Unraveling the genetic interplay and therapeutic potentials between major depressive disorder and metabolic syndrome: multi-ancestry and multi-trait genome-wide association analyses.

Yiheng Feng, Yihao Li, Hong Zhang, Huilin Xia, Yuan Lu, Hang Zhou, Peng Huang

Abstract read
In one paragraph

Article in BMC psychiatry, 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.

Yiheng Feng *Department of Pharmacy, The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Zhenjiang, Jiangsu Province, China.
Yihao Li *Department of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China.
Hong ZhangDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China.
Huilin XiaDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China.
Yuan LuDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China.
Hang ZhouDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China.
Peng HuangDepartment of Epidemiology, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province, 211166, China. huangpeng@njmu.edu.cn.

Funding

Nanjing Important Science & Technology Specific Projects 2021-11005
6 · The paper itself

Abstract

This investigation elucidates the genetic connection between major depressive disorder (MDD) and metabolic syndrome (MetS), suggesting bidirectional genetic correlations and shared pleiotropic genes. Leveraging a comprehensive genome-wide association study (GWAS) dataset from European and East Asian populations, we discovered new genetic markers linked to MDD and enhanced the robustness of genetic associations via cross-trait analysis. Moreover, the study harnessed computational strategies for drug repurposing, identifying Cytochrome P450 and HDAC inhibitors as candidate drugs for further investigation in MDD and MetS. Employing BLISS technology, we pinpointed proteins significantly linked to both conditions, advancing our comprehension of their molecular underpinnings. Through Mendelian randomization, we investigated how diverse dietary patterns across populations influence MDD and MetS, shedding light on the relationship between diet and disease susceptibility. This research not only enriches our understanding of the intersecting biological pathways of MDD and MetS but also opens avenues for innovative preventive and therapeutic measures.

Indexed as

Major Depressive DisorderMetabolic SyndromeDietEast Asian PeopleEuropean PeopleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideWhite PeopleGenetic correlationGenome-Wide association studies (GWAS)Major depressive disorder (MDD)Mendelian randomizationMulti-ancestry meta-analysis

Identifiers

PMID41555281
PMCPMC12895643

What OpenQuestion holds

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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.