Evidence map›Paper›PMID 40670650›Full record

ArticleScientific reports2025

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Linjie Chen, Haojie Chen, Zinan Chen, Kunyi Zhang, Hongsen Zhang, Jiahe Xu, Tongsheng Chen

Abstract read
In one paragraph

Article in Scientific reports, 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.

Linjie ChenKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Haojie ChenKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Zinan ChenKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Kunyi ZhangKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Hongsen ZhangKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Jiahe XuKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China.
Tongsheng ChenKey Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen, 361023, Fujian Province, P.R. China. chentongsheng@xmmc.edu.cn.ORCID http://orcid.org/0000-0001-8487-8854

Funding

Doctoral Start-up Foundation of Xiamen Medical College K2021-12Natural Science Foundation of Fujian Province 2022J05318Natural Science Foundation of Xiamen Municipality 3502Z20227079the Education Scientific Research Project of Young Teachers of Fujian Province JAT210475
6 · The paper itself

Abstract

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fibrosis (IPF). This study aimed to elucidate pathogenic pathways connecting obesity and IPF and identify diagnostic biomarkers for obesity-related pulmonary fibrosis. Obesity and IPF datasets were obtained through the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify shared genes for obesity and IPF. Functional enrichment (GO/KEGG), protein-protein interaction (PPI) networks, and machine learning algorithms were applied to screen hub genes, validated by ROC curves. High-fat diet (HFD)-induced obese mice with bleomycin-induced pulmonary fibrosis underwent histological assessment and qRT-PCR validation. Molecular docking evaluated flavonoid binding to hub genes. We identified 128 shared genes between obesity and IPF, predominantly enriched in immune and inflammatory pathways. Machine learning prioritized three hub genes (NLRC4, SPI1, and NCF2), validated by ROC analysis (AUC > 0.7). In animal model, these genes exhibited significant upregulation, correlating with exacerbated fibrosis. Molecular docking highlighted strong binding affinities (-6.3 to -9.6 kcal/mol) between dietary flavonoids and hub targets. Immune-inflammatory dysregulation links obesity and IPF via NLRC4, SPI1, and NCF2. These genes serve as diagnostic biomarkers and therapeutic targets, with flavonoids showing intervention potential. Our findings advance mechanistic insights into obesity-related pulmonary fibrosis.

Indexed as

Computational BiologyIdiopathic Pulmonary FibrosisObesityAnimalsDiet, High-FatDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHumansMachine LearningMaleMiceMice, Inbred C57BLMolecular Docking SimulationProtein Interaction MapsBioinformatic analysisFlavonoidsIdiopathic pulmonary fibrosisMachine learningObesity

Identifiers

PMID40670650
PMCPMC12267603

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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.