共 30 条
In vivo HMRS and lipidomic profiling reveals comprehensive changes of hippocampal metabolism during aging in mice
被引:19
作者:
Lin, Lejun
[1
]
Cao, Bofeng
[2
]
Xu, Zhiying
[1
]
Sui, Yanbin
[2
]
Chen, Jiao
[2
]
Luan, Qiang
[3
]
Yang, Ruifang
[4
]
Li, Shanchun
[1
]
Li, Ke Feng
[5
]
机构:
[1] Yantai Yuhuangding Hosp, Dept Nucl Med, Yantai 264000, Shandong, Peoples R China
[2] Yantai Yuhuangding Hosp, Med Imaging Ctr, Yantai 264000, Shandong, Peoples R China
[3] Muping Hosp Tradit Chinese Med, Yantai 264100, Shandong, Peoples R China
[4] Binzhou Med Univ, Affiliated Hosp, Dept Clin Lab, Yantai 256603, Shandong, Peoples R China
[5] Tianjin SunnyPeak Biotech Co Ltd, Tianjin 300057, Peoples R China
关键词:
Brain aging;
Hippocampus;
Metabolic interactions;
9.4T HMRS;
Lipidomics;
AGE-RELATED-CHANGES;
OXIDATIVE STRESS;
BRAIN;
GLUTAMATE;
ADULT;
ACIDS;
D O I:
10.1016/j.bbrc.2015.12.009
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
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), phosphati-dylglycerols (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 phos-phatidylcholines (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. (C) 2015 Elsevier Inc. All rights reserved.
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页码:9 / 14
页数:6
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