TY - JOUR
T1 - Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians
AU - Di Cesare, Francesca
AU - Tenori, Leonardo
AU - Meoni, Gaia
AU - Gori, Anna Maria
AU - Marcucci, Rossella
AU - Giusti, Betti
AU - Molino-Lova, Raffaele
AU - Macchi, Claudio
AU - Pancani, Silvia
AU - Luchinat, Claudio
AU - Saccenti, Edoardo
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/7/29
Y1 - 2021/7/29
N2 - This study defines and estimates the metabolite-lipidic component association networks constructed from an array of 20 metabolites and 114 lipids identified and quantified via NMR spectroscopy in the serum of a cohort of 355 Italian nonagenarians and ultra-nonagenarian. Metabolite-lipid association networks were built for men and women and related to an array of 101 clinical and biochemical parameters, including the presence of diseases, bio-humoral parameters, familiarity diseases, drugs treatments, and risk factors. Different connectivity patterns were observed in lipids, branched chains amino acids, alanine, and ketone bodies, suggesting their association with the sex-related and sex-clinical condition-related intrinsic metabolic changes. Furthermore, our results demonstrate, using a holistic system biology approach, that the characterization of metabolic structures and their dynamic inter-connections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.
AB - This study defines and estimates the metabolite-lipidic component association networks constructed from an array of 20 metabolites and 114 lipids identified and quantified via NMR spectroscopy in the serum of a cohort of 355 Italian nonagenarians and ultra-nonagenarian. Metabolite-lipid association networks were built for men and women and related to an array of 101 clinical and biochemical parameters, including the presence of diseases, bio-humoral parameters, familiarity diseases, drugs treatments, and risk factors. Different connectivity patterns were observed in lipids, branched chains amino acids, alanine, and ketone bodies, suggesting their association with the sex-related and sex-clinical condition-related intrinsic metabolic changes. Furthermore, our results demonstrate, using a holistic system biology approach, that the characterization of metabolic structures and their dynamic inter-connections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.
KW - Aging
KW - Differential network analysis
KW - Lipidomics
KW - Metabolomics
KW - Network inference
KW - Nuclear magnetic resonance
KW - Sexual dimorphism
U2 - 10.1007/s11357-021-00404-3
DO - 10.1007/s11357-021-00404-3
M3 - Article
AN - SCOPUS:85111609923
JO - GeroScience
JF - GeroScience
SN - 2509-2715
ER -