Evidence mapPaperPMID 40988754Full record

ReviewFrontiers in medicine2025

Epithelial-mesenchymal transition in pulmonary fibrosis: molecular mechanisms and emerging therapeutic strategies.

Weiyi Li, Yinghai Xie, Zhenzhen Chen, Dongli Cao, Yu Wang

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Trained immunity in respiratory diseases: Mechanisms of action and intervention strategies.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  9. Article
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

5 authors.

Weiyi LiSchool of Medicine, Anhui University of Science and Technology, Huainan, China.
Yinghai XieKey Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Huainan, China.
Zhenzhen ChenThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China.
Dongli CaoSchool of Medicine, Anhui University of Science and Technology, Huainan, China.
Yu WangSchool of Medicine, Anhui University of Science and Technology, Huainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary fibrosis is a progressive lung-scarring disease for which curative options remain limited. This review examines how epithelial-mesenchymal transition (EMT) contributes to fibrotic remodeling in subsets of pulmonary fibrosis (PF), delineates where the evidence is strongest, and highlights emerging therapeutic directions. PF encompasses idiopathic PF (IPF) and diverse non-IPF interstitial lung diseases driven by autoimmunity, exposures, or genetics, in which EMT involvement is variable. Recent laboratory and clinical work has been analyzed and the evidence grouped into four areas: well-known growth-factor signals; immune and inflammatory crosstalk; newer drivers such as iron-linked cell death, metabolic change and tissue stretch; and emerging medicines that temper these pathways, including licensed antifibrotics, experimental small molecules, natural compounds and RNA-based agents. Collectively, EMT emerges as a potentially reversible hub linking epithelial stress to scar formation, suggesting stage-specific combination strategies supported by single-cell profiling, lung organoids, and targeted delivery.

Indexed as

antifibrotic therapyepithelial–mesenchymal transitionferroptosismechanical stressmetabolic reprogrammingpulmonary fibrosis

Identifiers

PMID40988754
PMCPMC12450681

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.