TY - JOUR
T1 - In vivo HMRS and lipidomic profiling reveals comprehensive changes of hippocampal metabolism during aging in mice
AU - Lin, Lejun
AU - Cao, Bofeng
AU - Xu, Zhiying
AU - Sui, Yanbin
AU - Chen, Jiao
AU - Luan, Qiang
AU - Yang, Ruifang
AU - Li, Shanchun
AU - Li, Ke Feng
N1 - Publisher Copyright:
© 2015 Elsevier Inc. All rights reserved.
PY - 2016/1/29
Y1 - 2016/1/29
N2 - 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.
AB - 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.
KW - 9.4T HMRS
KW - Brain aging
KW - Hippocampus
KW - Lipidomics
KW - Metabolic interactions
UR - https://www.scopus.com/pages/publications/84956589160
U2 - 10.1016/j.bbrc.2015.12.009
DO - 10.1016/j.bbrc.2015.12.009
M3 - Article
C2 - 26707637
AN - SCOPUS:84956589160
SN - 0006-291X
VL - 470
SP - 9
EP - 14
JO - Biochemical and Biophysical Research Communications
JF - Biochemical and Biophysical Research Communications
IS - 1
ER -