Evidence map›Paper›PMID 41403635›Full record

ArticleArchives of medical science : AMS2025

A multi-stage genomic approach to uncover druggable gene targets and neural pathways in postpartum depression.

Chui-Yu Li, Wen-Xi Xie, Hai-Ping You, Hui-Rong Hu, Zhi-Yuan Chen

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Chui-Yu LiDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
Wen-Xi XieDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
Hai-Ping YouDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
Hui-Rong HuDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
Zhi-Yuan ChenDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postpartum depression (PPD) is a severe emotional disorder affecting women worldwide, with significant impacts on maternal and infant health. Its genetic contributors and biological mechanisms are poorly understood. Identifying druggable genes and clarifying their causal roles may offer insights for developing more effective treatments. Material and methods: We identified drug-related genes and screened gene expression quantitative trait loci (eQTL) from the eQTLGen consortium and genotype tissue expression (GTEx) v8 dataset, focusing on 13 brain tissues, along with Qi Results: From 5,883 druggable genes, 37 showed potential causal links to PPD. Replication analyses confirmed 9 of these genes, with 4 remaining significant in meta-analysis. SMR and HEIDI analyses focused on CLCN7, which showed robust evidence for causal involvement in PPD. Colocalization analyses suggested shared causal variants, and mediation analyses revealed that CLCN7's genetic risk is partially mediated by left- to right-hemisphere visual network white-matter structural connectivity. Conclusions: Our analysis identified CLCN7 as a potential causal factor in PPD, with its effect mediated through brain connectivity. These findings offer targets for future studies and therapeutic strategies for PPD.

Indexed as

brain connectivitydrug target genesmediationMendelian randomizationpostpartum depression

Identifiers

PMID41403635
PMCPMC12703596

What Socratic holds

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LicenceCC BY-NC-SA
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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 Socratic graph.