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Promising biomarkers of human aging: In search of a multi-omics panel to understand the aging process from a multidimensional perspective

Authors :
Luis Miguel Gutiérrez-Robledo
Juan Carlos Gomez-Verjan
Nadia Alejandra Rivero-Segura
O. S. Barrera-Vázquez
Omar Yaxmehen Bello-Chavolla
Source :
Ageing Research Reviews. 64:101164
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

The aging process has been linked to the occurrence of chronic diseases and functional impairments, including cancer, sarcopenia, frailty, metabolic, cardiovascular, and neurodegenerative diseases. Nonetheless, aging is highly variable and heterogeneous and represents a challenge for its characterization. In this sense, intrinsic capacity (IC) stands as a novel perspective by the World Health Organization, which integrates the individual wellbeing, environment, and risk factors to understand aging. However, there is a lack of quantitative and qualitative attributes to define it objectively. Therefore, in this review we attempt to summarize the most relevant and promising biomarkers described in clinical studies at date over different molecular levels, including epigenomics, transcriptomics, proteomics, metabolomics, and the microbiome. To aid gerontologists, geriatricians, and biomedical researchers to understand the aging process through the IC. Aging biomarkers reflect the physiological state of individuals and the underlying mechanisms related to homeostatic changes throughout an individual lifespan; they demonstrated that aging could be measured independently of time (that may explain its heterogeneity) and to be helpful to predict age-related syndromes and mortality. In summary, we highlight the areas of opportunity and gaps of knowledge that must be addressed to fully integrate biomedical findings into clinically useful tools and interventions.

Details

ISSN :
15681637
Volume :
64
Database :
OpenAIRE
Journal :
Ageing Research Reviews
Accession number :
edsair.doi.dedup.....3e9437b6d47dac2cb641f7fa1d91b6ed
Full Text :
https://doi.org/10.1016/j.arr.2020.101164