TY - JOUR
T1 - The metabolomics side of frailty
T2 - Toward personalized medicine for the aged
AU - Picca, Anna
AU - Coelho-Junior, Hélio José
AU - Cesari, Matteo
AU - Marini, Federico
AU - Miccheli, Alfredo
AU - Gervasoni, Jacopo
AU - Bossola, Maurizio
AU - Landi, Francesco
AU - Bernabei, Roberto
AU - Marzetti, Emanuele
AU - Calvani, Riccardo
PY - 2019/10/15
Y1 - 2019/10/15
N2 - 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.
AB - 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.
KW - Biomarkers
KW - Endophenotype
KW - Metabotype
KW - Multivariate analysis
KW - Omics
KW - Person-tailored
UR - http://www.scopus.com/inward/record.url?scp=85070927393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070927393&partnerID=8YFLogxK
U2 - 10.1016/j.exger.2019.110692
DO - 10.1016/j.exger.2019.110692
M3 - Review article
AN - SCOPUS:85070927393
SN - 0531-5565
VL - 126
JO - Experimental Gerontology
JF - Experimental Gerontology
M1 - 110692
ER -