TY - JOUR
T1 - The metabolomics side of frailty: Toward personalized medicine for the aged
AU - Picca, A.
AU - Coelho-Junior, H. J.
AU - Cesari, M.
AU - Marini, F.
AU - Miccheli, A.
AU - Gervasoni, J.
AU - Bossola, Maurizio
AU - Landi, Francesco
AU - Bernabei, R.
AU - Marzetti, Emanuele
AU - Calvani, Riccardo
PY - 2019
Y1 - 2019
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
KW - Biomarkers
KW - Endophenotype
KW - Metabotype
KW - Multivariate analysis
KW - Omics
KW - Person-tailored
UR - https://publicatt.unicatt.it/handle/10807/220679
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85070927393&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85070927393&origin=inward
U2 - 10.1016/j.exger.2019.110692
DO - 10.1016/j.exger.2019.110692
M3 - Article
SN - 0531-5565
VL - 126
SP - 1
EP - 7
JO - Experimental Gerontology
JF - Experimental Gerontology
IS - Oct
ER -