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*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 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.

Original languageEnglish
JournalGeroScience
DOIs
Publication statusE-pub ahead of print - 29 Jul 2021

Keywords

  • Aging
  • Differential network analysis
  • Lipidomics
  • Metabolomics
  • Network inference
  • Nuclear magnetic resonance
  • Sexual dimorphism

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