Evidence map›Paper›PMID 41502897›Full record

ArticleTranslational pediatrics2025

Integrated transcriptomic and co-expression network analysis identifies

Chu Wang, Lijing Xiong, Yang Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational pediatrics, 2025. 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
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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

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

3 authors.

Chu WangDepartment of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0001-2446-7663
Lijing XiongDepartment of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-9310-8998
Yang LiDepartment of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0001-9785-6056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biliary atresia (BA) is a rapidly progressive neonatal cholangiopathy with unclear pathogenesis. This study aimed to elucidate the key molecular mechanisms and regulatory networks underlying BA through integrative transcriptomic analysis, providing insights for early diagnosis and targeted therapy. Methods: Three BA-related liver microarray datasets (GSE46960, GSE159720, and GSE15235) were retrieved from the Gene Expression Omnibus (GEO) database and analyzed using a unified pipeline. Differentially expressed genes (DEGs) in the training cohort (GSE46960; 64 BA Results: We identified 343 DEGs between BA and controls, predominantly enriched in cytokine signaling, immune activation, and fibrosis-related pathways, whereas downregulated genes were linked to erythrocyte function and lipid metabolism. Intersection of DEGs with Hedgehog and NOTCH gene sets highlighted six development-related genes; among them, only Conclusions:

Indexed as

Biliary atresia (BA)HIF1Aimmune infiltrationtranscriptomicsweighted gene co-expression network analysis (WGCNA)

Identifiers

PMID41502897
PMCPMC12771227

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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.