ArticleRespiratory research2023
Biomarkers of cellular senescence in idiopathic pulmonary fibrosis.
Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gene expression meta-analysis reveals aging and cellular senescence signatures in scleroderma-associated interstitial lung disease.Frontiers in immunology · 2024Pooled it
- Biomarkers of Cellular Senescence Predict the Onset of Mobility Disability and Are Reduced by Physical Activity in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Trial
- A compendium of circulating biomarkers of senescence in humans: Insights on mechanistic impact across health domains and modulation by therapeutic interventions.Ageing research reviews · 2026Review
- Senescent Alveolospheres: A Preliminary 3D Model for Exploring Epithelial Senescence and Pro-Fibrotic Signaling.International journal of molecular sciences · 2026Article
- Circulating cell type senescence signatures track distinct dimensions of health status and trajectories in human longitudinal cohorts.Cell reports · 2026Article
- Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026Review
- Senescent Mesenchymal Stromal Cells Differentially Alter Adipogenesis in Adipose Tissue, Skeletal Muscle, and Bone Marrow.Obesity (Silver Spring, Md.) · 2026Article
- Circulating Cell Type Senescence Signatures Reveal High-Resolution Health Status and Trajectories in Human Longitudinal Studies.medRxiv : the preprint server for health sciences · 2026Article
- Prioritizing Therapeutic Targets for Interstitial Lung Disease: A Causal Mediation Analysis.Research square · 2026Article
- Epidemiology of idiopathic pulmonary fibrosis: a population registry-based study.Orphanet journal of rare diseases · 2026Article
- Immunosenescence in Idiopathic Pulmonary Fibrosis.Journal of inflammation research · 2026Review
- From Fibrosis to Malignancy: Mechanistic Intersections Driving Lung Cancer Progression.Cancers · 2025Review
- Altered Metabolism in Idiopathic Pulmonary Fibrosis.Journal of cellular physiology · 2025Review
- Gene expression composite scores of cellular senescence predict aging health outcomes in the Health and Retirement Study.Nature communications · 2025Article
- Exploring the uncharted role of cell senescence in rare diseases.Orphanet journal of rare diseases · 2025Review
- Modulating NLRP3 Inflammasomes in Idiopathic Pulmonary Fibrosis: A Comprehensive Review on Flavonoid-Based Interventions.Cell biochemistry and biophysics · 2025Review
- Immunoregulatory mechanisms in the aging microenvironment: Targeting the senescence-associated secretory phenotype for cancer immunotherapy.Acta pharmaceutica Sinica. B · 2025Review
- Article
- The senescence-associated secretory phenotype and its physiological and pathological implications.Nature reviews. Molecular cell biology · 2024Review
- Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.npj aging · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundCellular senescence is a cell fate in response to diverse forms of age-related damage and stress that has been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The associations between circulating levels of candidate senescence biomarkers and disease outcomes have not been specifically studied in IPF. In this study we assessed the circulating levels of candidate senescence biomarkers in individuals affected by IPF and controls and evaluated their ability to predict disease outcomes.
methodsWe measured the plasma concentrations of 32 proteins associated with senescence in Lung Tissue Research Consortium participants and studied their relationship with the diagnosis of IPF, parameters of pulmonary and physical function, health-related quality of life, mortality, and lung tissue expression of P16, a prototypical marker of cellular senescence. A machine learning approach was used to evaluate the ability of combinatorial biomarker signatures to predict disease outcomes.
resultsThe circulating levels of several senescence biomarkers were significantly elevated in persons affected by IPF compared to controls. A subset of biomarkers accurately classified participants as having or not having the disease and was significantly correlated with measures of pulmonary function, health-related quality of life and, to an extent, physical function. An exploratory analysis revealed senescence biomarkers were also associated with mortality in IPF participants. Finally, the plasma concentrations of several biomarkers were associated with their expression levels in lung tissue as well as the expression of P16.
conclusionsOur results suggest that circulating levels of candidate senescence biomarkers are informative of disease status, pulmonary and physical function, and health-related quality of life. Additional studies are needed to validate the combinatorial biomarkers signatures that emerged using a machine learning approach.
Indexed as
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.