Systematic estimation of biological age of in vitro cell culture systems by an age-associated marker panel

Frontiers in Aging

Aging

Georg Fuellen¹  Alexander Hartmann²  Michael Walter³  Christiane Hartmann⁴  Luise Herling⁴  Verena Köckritz⁴  Andreas Hermann⁵ 

[1] Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany;Center for Transdisciplinary Neurosciences Rostock (CTNR), University Medical Center Rostock, Rostock, Germany;Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, Rostock, Germany;Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, Rostock, Germany;Center for Transdisciplinary Neurosciences Rostock (CTNR), University Medical Center Rostock, Rostock, Germany;Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, University Medical Center Rostock, Rostock, Germany;Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, University Medical Center Rostock, Rostock, Germany;Center for Transdisciplinary Neurosciences Rostock (CTNR), University Medical Center Rostock, Rostock, Germany;Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock/Greifswald, Rostock, Germany;

关键词: age marker;    biological age - chronological age;    age panel;    skin fibroblast;    progeria syndrome;   

DOI  :  10.3389/fragi.2023.1129107

 received in 2022-12-21, accepted in 2023-02-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Hartmann, Herling, Hartmann, Köckritz, Fuellen, Walter and Hermann.