| Literature DB >> 31421185 |
Anna Picca1, Hélio José Coelho-Junior2, Matteo Cesari3, Federico Marini4, Alfredo Miccheli4, Jacopo Gervasoni1, Maurizio Bossola1, Francesco Landi1, Roberto Bernabei5, Emanuele Marzetti6, Riccardo Calvani1.
Abstract
Frailty encompasses several domains (i.e., metabolic, physical, cognitive). The multisystem derangements underlying frailty pathophysiology, its phenotypic heterogeneity, and the fluctuations of individuals across severity states have hampered a comprehensive appraisal of the condition. Circulating biomarkers emerged as an alleged tool for capturing this complexity and, as proxies for organismal metabolic changes, may hold the advantages of: 1) supporting diagnosis, 2) tracking the progression, 3) assisting healthcare professionals in clinical and therapeutic decision-making, and 4) verifying the efficacy of an intervention before measurable clinical manifestations occur. Among available analytical tools, metabolomics are able to identify and quantify the (ideally) whole repertoire of small molecules in biological matrices (i.e., cells, tissues, and biological fluids). Results of metabolomics analysis may define the final output of genome-environment interactions at the individual level. This entire collection of metabolites is called "metabolome" and is highly dynamic. Here, we discuss how monitoring the dynamics of metabolic profiles may provide a read-out of the environmental and clinical disturbances affecting cell homeostasis in frailty-associated conditions.Keywords: Biomarkers; Endophenotype; Metabotype; Multivariate analysis; Omics; Person-tailored
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Year: 2019 PMID: 31421185 DOI: 10.1016/j.exger.2019.110692
Source DB: PubMed Journal: Exp Gerontol ISSN: 0531-5565 Impact factor: 4.032