ReviewThorax2025
Epithelial damage and ageing: the perfect storm.
Review in Thorax, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed.
- Neuropsychiatric disorders in pulmonary fibrosis: from brain network alterations to inflammatory mechanisms and therapeutic implications.Journal of neuroinflammation · 2026Review
- Telomere Dysfunction and Proteostasis Decline Define Distinct Pathways of Cellular Senescence in the Human Respiratory Tract.Aging cell · 2026Article
- Mitochondrial PDHA1 acetylation orchestrates lactate-dependent epigenetic reprogramming to promote fibrosis via NUAK2.Cellular and molecular life sciences : CMLS · 2026Article
- Contribution of dominant and recessive model effects to the genetic architecture of Idiopathic Pulmonary Fibrosis.medRxiv : the preprint server for health sciences · 2026Article
- Cluster analysis and risk prediction model construction for antisynthase syndrome-associated interstitial lung disease based on clinical, imaging, and antibody characteristics.Frontiers in medicine · 2026Article
- Endogenous gene editing of alveolar organoids reveals that expression of pathogenic variant SFTPC-I73T disrupts endosomal function, epithelial polarity and wound healing.bioRxiv : the preprint server for biology · 2025Article
- Prognostic value of baseline serum KL-6 for mortality risk in patients with idiopathic pulmonary fibrosis receiving antifibrotic therapy: A retrospective cohort study.Therapeutic advances in respiratory diseaseArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdiopathic pulmonary fibrosis (IPF) is a progressive disease of lung parenchymal scarring that is triggered by repeated microinjury to a vulnerable alveolar epithelium. It is increasingly recognised that cellular ageing, whether physiological or accelerated due to telomere dysfunction, renders the epithelium less able to cope with injury and triggers changes in epithelial behaviour that ultimately lead to the development of disease.
aimsThis review aims to highlight how, with increasing age, the alveolar epithelium becomes vulnerable to exogenous insults. We discuss the downstream consequences of alveolar epithelial dysfunction on epithelial phenotype, alveolar repair and pro-pathogenic interactions with other alveolar niche-resident cell types which drive IPF pathogenesis. NARRATIVE: We highlight how a wide array of cellular mechanisms that maintain cellular homeostasis become dysfunctional with ageing. Waning replicative capacity, genomic stability, mitochondrial function, proteostasis and metabolic function all contribute to a phenotype of vulnerability to 'second hits'. We discuss how in IPF the alveolar epithelium becomes dysfunctional, highlighting changes in repair capacity and fundamental cellular phenotype and how interactions between abnormal epithelium and other alveolar niche-resident cell types perpetuate disease.
conclusionsThe ageing epithelium is a vulnerable epithelium which, with the cumulative effects of environmental exposures, fundamentally changes its behaviour towards stalled differentiation, failed repair and profibrotic signalling. Further dissection of aberrant epithelial behaviour, and its impact on other alveolar cell types, will allow identification of novel therapeutic targets aimed at earlier pathogenic events.
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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.