Aging is characterized by various cellular changes in the brain. Hippocampus is important for systemic aging and lifespan control. There is still a lack of comprehensive overview of metabolic changes in hippocampus during aging. In this study, we first created an accelerated brain aging mice model through the chronic administration of d-galactose. We then performed a multiplatform metabolomic profiling of mice hippocampus using the combination of in vivo 9.4 T HMRS and in vitro LC-MS/MS based lipidomics. We found N-acetylaspartic acid (NAA), gama-aminobutyric acid (GABA), glutamate/glutamine, taurine, choline, sphingolipids (SMs), phosphatidylethanolamines (PEs), phosphatidylinositols (PIs), phosphatidylglycerols (PGs) and phosphatidylserines (PSs), all of them decreasing with the aging process in mice hippocampus. The changes of sphingolipids and phospholipids were not limited to one single class or molecular species. In contrast, we found the significant accumulation of lactate, myoinositol and phosphatidylcholines (PCs) along with aging in hippocampus. SM (d18:1/20:2), PE (36:2), PG (34:1), PI (36:4), PS (18:0/20:4) and PC (36:0) have the most significant changes along with aging. Network analysis revealed the striking loss of biochemical connectivity and interactions between hippocampal metabolites with aging. The correlation pattern between metabolites in hippocampus could function as biomarkers for aging or diagnosis of aging-related diseases.
Keywords: 9.4T HMRS; Brain aging; Hippocampus; Lipidomics; Metabolic interactions.
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