Author: Sandra Haupt1, Tobias Niedrist2, Harald Sourij3, Stephan Schwarzinger4, Othmar Moser1,3
Affiliation: <sup>1</sup> Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany.
<sup>2</sup> Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8010 Graz, Austria.
<sup>3</sup> Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria.
<sup>4</sup> NBNC-North Bavarian NMR-Centre, University of Bayreuth, 95440 Bayreuth, Germany.
Conference/Journal: Cells
Date published: 2022 Jan 4
Other:
Volume ID: 11 , Issue ID: 1 , Pages: 153 , Special Notes: doi: 10.3390/cells11010153. , Word Count: 141
Aging as a major risk factor influences the probability of developing cancer, cardiovascular disease and diabetes, amongst others. The underlying mechanisms of disease are still not fully understood, but research suggests that delaying the aging process could ameliorate these pathologies. A key biological process in aging is cellular senescence which is associated with several stressors such as telomere shortening or enhanced DNA methylation. Telomere length as well as DNA methylation levels can be used as biological age predictors which are able to detect excessive acceleration or deceleration of aging. Analytical methods examining aging are often not suitable, expensive, time-consuming or require a high level of technical expertise. Therefore, research focusses on combining analytical methods which have the potential to simultaneously analyse epigenetic, genomic as well as metabolic changes.
Keywords: DNA methylation; exercise; metabolism; metabolomics; telomere length.
PMID: 35011715 PMCID: PMC8750279 DOI: 10.3390/cells11010153