ArticleScientific reports2025
Predictive models and WTAP targeting for idiopathic pulmonary fibrosis (IPF).
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 3 papers.
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Network medicine modeling of the m⁶A regulatory landscape identifies a KLF6-WTAP axis as a therapeutic target in pulmonary fibrosis.Journal of translational medicine · 2026Article
- Epigenetic regulatory mechanisms and translational applications in idiopathic pulmonary fibrosis.American journal of clinical and experimental immunology · 2026Review
- YBX1 regulation of alveolar type II epithelial cells in idiopathic pulmonary fibrosis: mechanistic insights and small-molecule drug screening.Journal of translational medicine · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Emerging evidence suggests that N6-methyladenosine (m6A) modification significantly influences lung injury, lung cancer, and immune responses. The current study explores the potential involvement of m6A modification in the development of IPF. This research analyzed the GSE93606 dataset of 20 non-IPF and 154 IPF patients, identifying 26 m6A regulators and developing predictive models with RF and SVM, assessed via ROC curves. A nomogram was created with selected m6A factors, including molecular subtyping, PCA for m6A features, immune cell analysis, DEG identification, and functional enrichment. In vitro experiments on MRC-5 cells used RT-qPCR and Western blotting, and virtual drug screening targeted the WTAP protein through molecular docking. Analysis revealed 26 differential m6A regulators in IPF patients, with 16 significant; IGFBP2 and YTHDF2 were overexpressed, while others decreased. RF and SVM models identified predictive m6A regulators, and a nomogram was developed using five factors to predict IPF incidence. Distinct m6A patterns showed changes in RNA levels of specific genes in the BLM-induced group, and five compounds targeting WTAP were identified. This research explored m6A factors' impact on IPF diagnosis and prognosis, identifying WTAP as a potential biomarker.
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Registered trials
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