ReviewBreathe (Sheffield, England)2025
Insights into interstitial lung disease pathogenesis.
Review in Breathe (Sheffield, England), 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
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
7 citing papers in PubMed.
- Broad-Spectrum Protective Effects of Lyophilized FE002-Lu Lung Fibroblast Conditioned Medium Against Acute and Chronic Pulmonary Injury in Wistar Rats.Biomedicines · 2026Article
- Navigating the Complexity of PH-ILD: From Molecular Mechanisms to Integrated Clinical Evaluation.International journal of molecular sciences · 2026Review
- Left Ventricular Diastolic Dysfunction in Patients with Interstitial Lung Disease-A Potential Treatable Trait.Advances in respiratory medicine · 2026Article
- Interstitial lung disease and the STING pathway.The Journal of clinical investigation · 2026Review
- Interferon-γ selectively promotes survival of alveolar progenitor cells in a human lung organoid model.The EMBO journal · 2026Article
- Correlation of a combined serum biomarker panel with the composite physiologic index in connective tissue disease-associated interstitial lung disease.Frontiers in physiology · 2026Article
- Interstitial lung diseases.Breathe (Sheffield, England) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review summarises some of the key features of interstitial lung diseases (ILDs) from a translational science point of view and brings insights into potential therapeutic options. Genetic predisposition and environmental factors like smoking, pollution and infections significantly impact the onset, progression and treatment response in ILDs, highlighting the need for personalised management. Fibroblasts are central to ILD pathology, influencing the tissue microenvironment, immune cell interactions and extracellular matrix (ECM) production, making them critical therapeutic targets. Monocyte-derived M2 macrophages drive fibrosis in idiopathic pulmonary fibrosis by secreting cytokines and remodelling the ECM. Understanding macrophage subtypes and their dynamics offers new therapeutic possibilities. Chronic type 2 immunity contributes to fibrosis, emphasising the need to enhance protective markers in order to even out the balance shift of pathological immune responses in ILD treatments. Serum biomarkers like Krebs von den Lungen-6 (KL-6), surfactant protein (SFTP) D, matrix metalloproteinase-7 (MMP-7), and C-C motif chemokine ligand (CCL)-18 are valuable for diagnosing and predicting ILD progression, although more research is needed for clinical application. Animal models, especially bleomycin-based models, offer insights into ILD pathology, but challenges like lung hyperinflation highlight the need for careful model selection and translational research to bridge preclinical and clinical findings.
Identifiers
What OpenQuestion 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 OpenQuestion graph.