Identification of age-related metabolomic signatures in vascular tissues

Abstract

Vascular aging contributes to the morbidity and mortality in older individuals, closely linked to an imbalance between energy consumption and production. Despite its importance, our understanding of how aging affects vascular metabolism and leads to vascular diseases remains limited. In this study, we explored the metabolomic characteristics of vascular aging by analyzing aortic tissues from young and old mice through untargeted metabolomic analysis using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). We identified 85 differential metabolites, with 37 up-regulated and 48 down-regulated, primarily consisting of lipids and lipid-like molecules, based on the criteria of variable importance in projection (VIP) > 1 and P < 0.05. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed significant involvement of these metabolites in six metabolic pathways (P < 0.05), particularly in glycerophospholipid metabolism. Receiver operating characteristic (ROC) curve analysis highlighted eight altered metabolites in glycerophospholipid metabolism, such as phosphatidylcholine (PC) (17:0/22:6) and lysophosphatidylcholine (LPC) (18:2), which demonstrated strong discriminatory ability for vascular aging with an area under the curve (AUC) exceeding 0.85. This study provides novel insights into metabolomic signature of vascular aging, offering important clues for future treatments of age-related vascular disorders.