ReviewInternational journal of molecular medicine2026
Treatment of pulmonary fibrosis: From disease mechanisms to future novel therapies (Review).
Review in International journal of molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Article
- The effect and mechanism of total alkaloids ofFrontiers in pharmacology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pulmonary fibrosis (PF) is a progressive and fatal interstitial lung disease characterized by irreversible lung scarring and frequently associated with lung cancer. Currently, there remains a lack of effective therapies capable of significantly improving long‑term outcomes or reversing the disease course. Although antifibrotic drugs are widely used and have enhanced the mechanistic understanding of PF, their efficacy is limited. This review systematically explores the core pathobiological processes and epigenetic regulatory networks involved in PF pathogenesis. Simultaneously, a critical review of the most promising emerging therapeutic strategies in recent years, including stem cell therapy, novel targeted agents, nucleic acid delivery technologies and epigenetic interventions, is provided. An in‑depth analysis of the transformative role of artificial intelligence (AI) in integrating multi‑omics data, predicting disease trajectories and optimizing personalized treatment plans is also presented. However, significant challenges hinder the clinical translation of these novel approaches. While AI‑based models offer valuable insights, they are constrained by the complex heterogeneity of PF. Epigenetic therapies, despite their promise, face obstacles related to drug development, delivery efficiency and long‑term clinical impact. Moving forward, the fundamental shift from palliative management to a disease‑modifying paradigm for PF will not rely on a single technological breakthrough. Instead, it necessitates deep interdisciplinary integration. This involves the systematic convergence of the potential of regenerative medicine, the precision of gene editing, the molecular intervention of targeted therapy and the dynamic decision‑making capabilities driven by AI. The goal is to construct a next‑generation, individualized treatment framework capable of adapting to disease heterogeneity and evolving with the patient's condition. Despite the considerable challenges, this multimodal integrated strategy is paving a viable new path toward ultimately conquering pulmonary fibrosis.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.