Location: Jean Mayer Human Nutrition Research Center On AgingTitle: Identifying biomarkers for biological age: geroscience and the ICFSR task force
|LEBRASSEUR, NATHAN - Mayo Clinic|
|DE CABO, RAFAEL - National Institute On Aging (NIA, NIH)|
|FIELDING, ROGER - Jean Mayer Human Nutrition Research Center On Aging At Tufts University|
|FERRUCCI, LUIGI - National Institute On Aging (NIA, NIH)|
|RODRIGUEZ-MANAS, LEOCADIO - Hospital Universitario De Getafe|
|VINA, JOSE - University Of Valencia|
|VELLAS, BRUNO - Toulouse University Hospital|
Submitted to: The Journal of Frailty and Aging
Publication Type: Review Article
Publication Acceptance Date: 2/2/2021
Publication Date: 3/8/2021
Citation: Lebrasseur, N.K., De Cabo, R., Fielding, R.A., Ferrucci, L., Rodriguez-Manas, L., Vina, J., Vellas, B. 2021. Identifying biomarkers for biological age: geroscience and the ICFSR task force. The Journal of Frailty and Aging. 10:196-201. https://doi.org/10.14283/jfa.2021.5.
Technical Abstract: The International Conference on Frailty and Sarcopenia Research Task Force met in March 2020, in the shadow of the COVID-19 pandemic, to discuss strategies for advancing the interdisciplinary field of geroscience. Geroscience explores biological mechanisms of aging as targets for intervention that may delay the physiological consequences of aging, maintain function, and prevent frailty and disability. Priorities for clinical practice and research include identifying and validating a range of biomarkers of the hallmarks of aging. Potential biomarkers discussed included markers of mitochondrial dysfunction, proteostasis, stem cell dysfunction, nutrient sensing, genomic instability, telomere dysfunction, cellular senescence, and epigenetic changes. The FRAILOMICS initiative is exploring many of these through various omics studies. Translating this knowledge into new therapies is being addressed by the U.S. National Institute on Aging Translational Gerontology Branch. Research gaps identified by the Task Force include the need for improved cellular and animal models as well as more reliable and sensitive measures.