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Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians
GeroScience  (IF7.713),  Pub Date : 2021-07-29, DOI: 10.1007/s11357-021-00404-3
Di Cesare, Francesca, Tenori, Leonardo, Meoni, Gaia, Gori, Anna Maria, Marcucci, Rossella, Giusti, Betti, Molino-Lova, Raffaele, Macchi, Claudio, Pancani, Silvia, Luchinat, Claudio, Saccenti, Edoardo

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.