ArticleFrontiers in aging2023
Systematic estimation of biological age of
Article in Frontiers in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
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- Article
- The Hallmarks of Ageing in Microglia.Cellular and molecular neurobiology · 2025Review
- Replicative Senescence in Mesenchymal Stem Cells: An In Vitro Study on Mitochondrial Dynamics and Metabolic Alterations.Antioxidants (Basel, Switzerland) · 2025Article
- Benzyl isothiocyanate provokes senolysis by targeting AKT in senescent IPF fibroblasts and reverses persistent pulmonary fibrosis in aged mice.Frontiers in pharmacology · 2025Article
- Human Liver MSCs Retain Their Basic Cellular Properties in Chronically Inflamed Liver Tissue.International journal of molecular sciences · 2024Article
- Human stem cell transplantation models of Alzheimer's disease.Frontiers in aging neuroscience · 2024Review
- Long-term passage impacts human dental pulp stem cell activities and cell response to drug additionPeerJ · 2024Article
- Model Systems to Study the Mechanism of Vascular Aging.International journal of molecular sciences · 2023Review
- Notch is Not Involved in Physioxia-Mediated Stem Cell Maintenance in Midbrain Neural Stem Cells.International journal of stem cells · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is a process that affects almost all multicellular organisms and since our population ages with increasing prevalence of age-related diseases, it is important to study basic processes involved in aging. Many studies have been published so far using different and often single age markers to estimate the biological age of organisms or different cell culture systems. However, comparability of studies is often hampered by the lack of a uniform panel of age markers. Consequently, we here suggest an easy-to-use biomarker-based panel of classical age markers to estimate the biological age of cell culture systems that can be used in standard cell culture laboratories. This panel is shown to be sensitive in a variety of aging conditions. We used primary human skin fibroblasts of different donor ages and additionally induced either replicative senescence or artificial aging by progerin overexpression. Using this panel, highest biological age was found for artificial aging by progerin overexpression. Our data display that aging varies depending on cell line and aging model and even from individual to individual showing the need for comprehensive analyses.
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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.