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.

本研究定义和估计代谢物-脂质成分关联网络，该网络由 20 种代谢物和 114 种脂质组成，通过核磁共振波谱在 355 名意大利九岁老人和超九岁老人的血清中鉴定和量化。为男性和女性建立了代谢物-脂质关联网络，并与一系列 101 个临床和生化参数相关，包括疾病的存在、生物体液参数、熟悉的疾病、药物治疗和风险因素。在脂质、支链氨基酸、丙氨酸和酮体中观察到不同的连接模式，表明它们与性别相关和性别临床状况相关的内在代谢变化有关。此外，我们的结果表明，使用整体系统生物学方法，