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 ultranonagenarian. 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 interconnections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.
Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians / Francesca Di Cesare, Leonardo Tenori, Gaia Meoni , Anna Maria Gori, Rossella Marcucci, Betti Giusti, Raffaele Molino-Lova, Claudio Macchi, Silvia Pancani, Claudio Luchinat, Edoardo Saccenti. - In: GEROSCIENCE. - ISSN 2509-2723. - ELETTRONICO. - (2021), pp. 1-20. [10.1007/s11357-021-00404-3]
Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians
Francesca Di Cesare;Leonardo Tenori;Gaia Meoni;Anna Maria Gori;Rossella Marcucci;Betti Giusti;Raffaele Molino-Lova;Claudio Macchi;Silvia Pancani;Claudio Luchinat;
2021
Abstract
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 ultranonagenarian. 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 interconnections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.File | Dimensione | Formato | |
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