The Role of Metabolomics in Brain Metabolism Research

Journal of Neuroimmune Pharmacology

Volumn 10, Issue 3, 2015, Pages 391-395

  Ivanisevic, Julijana ^a   Siuzdak, Gary ^a  

^a SCRIPPS RESEARCH INSTITUTE   (United States)

Author keywords

Brain energy metabolism; Central nervous system disorders; Mass spectrometry; Metabolomics; Nuclear magnetic resonance spectroscopy

Indexed keywords

4 AMINOBUTYRIC ACID RECEPTOR;

ARTICLE; BLOOD BRAIN BARRIER; BRAIN METABOLISM; CENTRAL NERVOUS SYSTEM DISEASE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENOMICS; HOMEOSTASIS; HUMAN; METABOLIC DISORDER; METABOLITE; METABOLOMICS; NEUROIMAGING; NEUROPATHIC PAIN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; SCHIZOPHRENIA; BRAIN; BRAIN DISEASES; DRUG EFFECTS; METABOLISM;

BRAIN; BRAIN DISEASES; HUMANS; METABOLOMICS;

EID: 84939575789     PISSN: 15571890     EISSN: 15571904     Source Type: Journal    
DOI: 10.1007/s11481-015-9621-1     Document Type: Article

References (25)

1. Benton HP, Ivanisevic J, Mahieu NG, Kurczy ME, Johnson CH, Franco L, Rinehart D, Valentine E, Gowda H, Ubhi BK et al (2015) Autonomous metabolomics for rapid metabolite identification in global profiling. Anal Chem 87:884–891
2. Caceres M, Lachuer J, Zapala MA, Redmond JC, Kudo L, Geschwind DH, Lockhart DJ, Preuss TM, Barlow C (2003) Elevated gene expression levels distinguish human from non-human primate brains. Proc Natl Acad Sci U S A 100:13030–13035
3. Chen-Plotkin AS (2015) Unbiased approaches to biomarker discovery in neurodegenerative diseases. Neuron 84:594–607
4. Dickens Mountfort A, Larkin JR, Griffin JL, Davis BG, Claridge TDW, Sibson NR, Anthony DC (2015) NMR-based metabolomics separates the distinct stages of disease in a chronic relapsing model of multiple sclerosis. J Neuroimmune Pharmacol. doi:10.1007/s11481-015-9622-0
5. Duarte JM, Lei H, Mlynarik V, Gruetter R (2012) The neurochemical profile quantified by in vivo 1H NMR spectroscopy. Neuroimage 61:342–362
6. Dumas M-E, Davidovic L (2015) Metabolic profiling and phenotyping of central nervous system diseases: metabolites bring insights into brain dysfunctions. J Neuroimmune Pharmacol. doi:10.1007/s11481-014-9578-5
7. Epstein AA, Narayanasamy P, Dash PK, High R, Bathena SP, Gorantla S, Poluektova LY, Alnouti Y, Gendelman HE, Boska MD (2013) Combinatorial assessments of brain tissue metabolomics and histopathology in rodent models of human immunodeficiency virus infection. J Neuroimmune Pharmacol 8:1224–1238
8. Griffin JL, Salek RM (2007) Metabolomic applications to neuroscience: more challenges than chances? Expert Rev Proteomics 4:435–437
9. Ivanisevic J, Epstein AA, Kurczy ME, Benton PH, Uritboonthai W, Fox HS, Boska MD, Gendelman HE, Siuzdak G (2014) Brain region mapping using global metabolomics. Chem Biol 21:1575–1584
10. Johnson CH, Ivanisevic J, Benton HP, Siuzdak G (2015a) Bioinformatics: the next frontier of metabolomics. Anal Chem 87:147–156
11. Johnson CH, Patti GJ, Shriver LP, Hoang LT, Manchester M, Siuzdak G (2015b) Investigating antimetabolites of neuropathic pain. J Neuroimmune Pharmacol. doi:10.1007/s11481-015-9624-y
12. Kaddurah-Daouk R, Kristal BS, Weinshilboum RM (2008) Metabolomics: a global biochemical approach to drug response and disease. Annu Rev Pharmacol Toxicol 48:653–683
13. Kao CY, Anderzhanova E, Asara JM, Wotjak CT, Turck CW (2015) NextGen brain microdialysis: applying modern metabolomics technology to the analysis of extracellular fluid in the central nervous system. Molecular Neuropsychiatry 1:60–67
14. Kurczy ME, Piehowski PD, Van Bell CT, Heien ML, Winograd N, Ewing AG (2010) Mass spectrometry imaging of mating Tetrahymena show that changes in cell morphology regulate lipid domain formation. Proc Natl Acad Sci U S A 107:2751–2756
15. Kurczy ME, Zhu ZJ, Ivanisevic J, Schuyler AM, Lalwani K, Santidrian AF, David JM, Giddabasappa A, Roberts AJ, Olivos HJ et al (2015) Comprehensive bioimaging with fluorinated nanoparticles using breathable liquids. Nat Commun 6:5998
16. Lin AL, Rothman DL (2014) What have novel imaging techniques revealed about metabolism in the aging brain? Future Neurol 9:341–354
17. Magistretti PJ, Allaman I (2015) A cellular perspective on brain energy metabolism and functional imaging. Neuron 86:883–901
18. McClay JL, Vunck SA, Batman AM, Crowley JJ, Vann RE, Beardsley PM, van den Oord EJ (2015) Neurochemical metabolomics reveals disruption to sphingolipid metabolism following chronic haloperidol administration. J Neuroimmune Pharmacol. doi:10.1007/s11481-015-9605-1
19. Mink JW, Blumenschine RJ, Adams DB (1981) Ratio of central nervous system to body metabolism in vertebrates: its constancy and functional basis. Am J Physiol 241:R203–R212
20. Patti GJ, Yanes O, Siuzdak G (2012) Innovation: metabolomics: the apogee of the omics trilogy. Nat Rev Mol Cell Biol 13:263–269
21. Rae C, Nasrallah FA, Balcar VJ, Rowlands BD, Johnston GAR, Hanrahan JR (2015) Metabolomic approaches to defining the role(s) of GABAρ receptors in the brain. J Neuroimmune Pharmacol. doi:10.1007/s11481-014-9579-4
22. Rinehart D, Johnson CH, Nguyen T, Ivanisevic J, Benton HP, Lloyd J, Arkin AP, Deutschbauer AM, Patti GJ, Siuzdak G (2014) Metabolomic data streaming for biology-dependent data acquisition. Nat Biotechnol 32:524–527
23. Tautenhahn R, Cho K, Uritboonthai W, Zhu Z, Patti GJ, Siuzdak G (2012) An accelerated workflow for untargeted metabolomics using the METLIN database. Nat Biotechnol 30:826–828
24. Wood PL (2014) Mass spectrometry strategies for clinical metabolomics and lipidomics in psychiatry, neurology, and neuro-oncology. Neuropsychopharmacology 39:24–33
25. Zamboni N, Saghatelian A, Patti GJ (2015) Defining the metabolome: size, flux, and regulation. Mol Cell 58:699–706