TY - JOUR
T1 - Brain region mapping using global metabolomics
AU - Ivanisevic, Julijana
AU - Epstein, Adrian A.
AU - Kurczy, Michael E.
AU - Benton, Paul H.
AU - Uritboonthai, Winnie
AU - Fox, Howard S.
AU - Boska, Michael D.
AU - Gendelman, Howard E.
AU - Siuzdak, Gary
N1 - Publisher Copyright:
© 2014 Elsevier Ltd. All rights reserved.
PY - 2014/11/20
Y1 - 2014/11/20
N2 - Historically, studies of brain metabolism have been based on targeted analyses of a limited number of metabolites. Here we present an untargeted mass spectrometry-based metabolomic strategy that has successfully uncovered differences in a broad array of metabolites across anatomical regions of the mouse brain. The NSG immunodeficient mouse model was chosen because of its ability to undergo humanization leading to numerous applications in oncology and infectious disease research. Metabolic phenotyping by hydrophilic interaction liquid chromatography and nanostructure imaging mass spectrometry revealed both water-soluble and lipid metabolite patterns across brain regions. Neurochemical differences in metabolic phenotypes were mainly defined by various phospholipids and several intriguing metabolites including carnosine, cholesterol sulfate, lipoamino acids, uric acid, and sialic acid, whose physiological roles in brain metabolism are poorly understood. This study helps define regional homeostasis for the normal mouse brain to give context to the reaction to pathological events.
AB - Historically, studies of brain metabolism have been based on targeted analyses of a limited number of metabolites. Here we present an untargeted mass spectrometry-based metabolomic strategy that has successfully uncovered differences in a broad array of metabolites across anatomical regions of the mouse brain. The NSG immunodeficient mouse model was chosen because of its ability to undergo humanization leading to numerous applications in oncology and infectious disease research. Metabolic phenotyping by hydrophilic interaction liquid chromatography and nanostructure imaging mass spectrometry revealed both water-soluble and lipid metabolite patterns across brain regions. Neurochemical differences in metabolic phenotypes were mainly defined by various phospholipids and several intriguing metabolites including carnosine, cholesterol sulfate, lipoamino acids, uric acid, and sialic acid, whose physiological roles in brain metabolism are poorly understood. This study helps define regional homeostasis for the normal mouse brain to give context to the reaction to pathological events.
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U2 - 10.1016/j.chembiol.2014.09.016
DO - 10.1016/j.chembiol.2014.09.016
M3 - Article
C2 - 25457182
AN - SCOPUS:84911917414
SN - 1074-5521
VL - 21
SP - 1575
EP - 1584
JO - Chemistry and Biology
JF - Chemistry and Biology
IS - 11
ER -