Evidence map›Paper›PMID 40747300›Full record

ArticleFrontiers in endocrinology2025

Gene signatures associated with exosomes as diagnostic markers of postpartum depression and their role in immune infiltration.

Jianbo He, Hong Chen, Kaiming Duan, Sikandaier Wushouer, Xiaowei Wang, Yaxuan Li, Xingang Qin

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

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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. Review
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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.

Jianbo HeDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Hong ChenDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Kaiming DuanDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Sikandaier WushouerDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiaowei WangDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yaxuan LiDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xingang QinDepartment of Anesthesiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postpartum depression (PPD) is a significant mental health challenge for new mothers, with diverse and unclear causes. Exosomes significantly contribute to the pathogenesis, identification, treatment outcome determination, and intervention of PPD. However, the functions of exosome-related genes (ERGs) in PPD remain to be fully elucidated. This study examines the potential impact of ERGs on PPD and develops a set of diagnostic tools based on them. Methods: We acquired and prepared several gene expression datasets from the Gene Expression Omnibus (GEO). Our analysis focused on genes that closely interact with the extracellular matrix. Using advanced techniques, including the Results: We identified 44 exosome-related differentially expressed genes (ERDEGs) that play key roles in synaptic signal transmission, hormone fluctuations, and inflammatory responses. Ten genes, including Conclusions: ERDEGs significantly contribute to PPD occurrence. Our diagnostic model demonstrated high accuracy and potential for use in medical practice. Future research with larger samples is warranted to validate these conclusions and identify effective targets that may affect these pathways during treatment to improve the therapeutic effect.

Indexed as

Depression, PostpartumExosomesTranscriptomeBiomarkersFemaleGene Expression ProfilingHumansBiomarkersbioinformatics analysisbiomarkersdiagnostic modelexosomesimmune infiltration

Identifiers

PMID40747300
PMCPMC12310459

What Socratic holds

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LicenceCC BY
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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.