Journal
GEROSCIENCE
Volume 44, Issue 2, Pages 1109-1128Publisher
SPRINGER
DOI: 10.1007/s11357-021-00404-3
Keywords
Aging; Differential network analysis; Lipidomics; Metabolomics; Network inference; Nuclear magnetic resonance; Sexual dimorphism
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Funding
- CERM/CIRMMP Italy Centre
- ERIC, a Landmark ESFRI project
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This study investigates the metabolite-lipidic component association networks in the serum of 355 Italian nonagenarians and ultra-nonagenarian, showing different connectivity patterns in lipids related to sex and clinical conditions. The findings suggest that characterizing metabolic structures and their dynamic inter-connections can shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.
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.
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