Evidence map›Paper›PMID 42566402›Full record

ArticlePloS one2026

Identification of senescence-related genes in diagnosing idiopathic pulmonary fibrosis via integrating bioinformatics analysis and machine learning.

Chenchun Ding, Ziwei Ye, Pu Zeng, Weibin Chen

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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

4 authors.

Chenchun DingDepartment of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Ziwei YeSchool of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China.
Pu ZengDepartment of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Weibin ChenDepartment of General Surgery, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.ORCID https://orcid.org/0009-0002-9951-103X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease characterized by persistent alveolar epithelial injury and aberrant tissue remodeling. Increasing evidence suggests that senescence of alveolar epithelial cells (AECs) contributes to impaired epithelial regeneration and maladaptive tissue repair by limiting reparative capacity and promoting profibrotic signaling. However, the molecular drivers of AEC senescence and their impact on the immune microenvironment in IPF remain incompletely understood. Here, we investigated senescence-associated genes involved in IPF pathogenesis and evaluated their diagnostic and therapeutic potential. IPF transcriptomic datasets were retrieved from the Gene Expression Omnibus (GEO). Senescence-related differentially expressed genes (SRDEGs) were identified by intersecting IPF-derived differentially expressed genes with a curated human senescence gene list. Functional enrichment analyses were performed to delineate SRDEG-associated biological processes. Hub genes were prioritized using machine-learning approaches, and a diagnostic model was constructed and assessed by receiver operating characteristic (ROC) analysis. Candidate genes were further validated through in vivo and in vitro experiments. Given the upstream regulatory role of CHEK2 in DNA damage response-associated cellular senescence, Fostamatinib was screened as a potential therapeutic agent, and its interaction with CHEK2 and functional effects were examined using molecular docking, molecular dynamics simulations, and experimental assays. Two senescence-associated hub genes, CHEK2 and TP53 BP1, were identified as key contributors to IPF pathology (FDR-adjusted P < 0.05), and a model incorporating both genes achieved high diagnostic performance. Experimental validation, however, indicated that only CHEK2 showed IPF-specific differential expression and was closely associated with AEC senescence and fibrotic progression. In silico analyses supported stable binding between Fostamatinib and CHEK2, and subsequent molecular and cellular experiments suggested that Fostamatinib may attenuate CHEK2-associated senescence and profibrotic responses. Collectively, these findings identify CHEK2 as a critical regulator of AEC senescence and IPF development, supporting its potential use as a diagnostic biomarker and therapeutic target. Fostamatinib may represent a candidate therapeutic strategy for IPF by modulating CHEK2-related senescence pathways.

Indexed as

Cellular SenescenceComputational BiologyIdiopathic Pulmonary FibrosisMachine LearningAlveolar Epithelial CellsAnimalsCheckpoint Kinase 2Gene Expression ProfilingHumansMolecular Docking SimulationTranscriptomeCheckpoint Kinase 2CHEK2 protein, human

Identifiers

PMID42566402
PMCPMC13450802

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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.