ArticleFrontiers in medicine2021
DNA Methylation-Based Age Prediction and Telomere Length Reveal an Accelerated Aging in Induced Sputum Cells Compared to Blood Leukocytes: A Pilot Study in COPD Patients.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05399966 (Investigating the Effects of Monarda Didyma Extract Supplementation on Biological Aging of Susceptible Population), which is not on this map. Cited by 13 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.
Investigating the Effects of Monarda Didyma Extract Supplementation on Biological Aging of Susceptible Population: a Randomized, Placebo Controlled, Double Blind Parallel Study
Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Trial
- Core Promoters of Pig SOD2 Gene and Its Expression Regulation by DNA Methylation.Veterinary sciences · 2025Article
- Heterogeneity of Cellular Senescence, Senotyping, and Targeting by Senolytics and Senomorphics in Lung Diseases.International journal of molecular sciences · 2025Review
- Modelling of biological age in stable and acute exacerbations of chronic obstructive pulmonary disease.BMC pulmonary medicine · 2025Article
- Joint association of frailty index and biological age with chronic obstructive pulmonary disease: a cohort study from CHARLS.Scientific reports · 2025Article
- The relationship between respiratory symptoms and frailty: findings from observational and Mendelian randomization analyses.Aging clinical and experimental research · 2024Article
- Revealing the Hidden Impacts: Insights into Biological Aging and Long-Term Effects in Pauci- and Asymptomatic COVID-19 Healthcare Workers.International journal of molecular sciences · 2024Article
- Immunosenescence and Inflammation in Chronic Obstructive Pulmonary Disease: A Systematic Review.Journal of clinical medicine · 2024Review
- Global burden of pneumoconiosis attributable to occupational particulate matter, gasses, and fumes from 1990~2021 and forecasting the future trends: a population-based study.Frontiers in public health · 2024Article
- The status and influencing factors of lung ventilation function in employees exposed to dust in enterprises of the XPCC, China.Frontiers in public health · 2024Article
- Mitigating cellular aging and enhancing cognitive functionality: visual arts-mediated Cognitive Activation Therapy in neurocognitive disorders.Frontiers in aging neuroscience · 2024Article
- The effect of high polycyclic aromatic hydrocarbon exposure on biological aging indicators.Environmental health : a global access science source · 2023Article
- DNA Methylation - and Telomere - Based Biological Age Estimation as Markers of Biological Aging in Donors Kidneys.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is the predominant risk factor for most degenerative diseases, including chronic obstructive pulmonary disease (COPD). This process is however very heterogeneous. Defining the biological aging of individual tissues may contribute to better assess this risky process. In this study, we examined the biological age of induced sputum (IS) cells, and peripheral blood leukocytes in the same subject, and compared these to assess whether biological aging of blood leukocytes mirrors that of IS cells. Biological aging was assessed in 18 COPD patients (72.4 ± 7.7 years; 50% males). We explored mitotic and non-mitotic aging pathways, using telomere length (TL) and DNA methylation-based age prediction (DNAmAge) and age acceleration (AgeAcc) (i.e., difference between DNAmAge and chronological age). Data on demographics, life style and occupational exposure, lung function, and clinical and blood parameters were collected. DNAmAge (67.4 ± 5.80 vs. 61.6 ± 5.40 years;
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Registered trials
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