Abstract
Lipidomics is a lipid-targeted metabolomics approach aiming at comprehensive analysis of lipids in biological systems. Recent technological progresses in mass spectrometry, nuclear magnetic resonance spectroscopy, and chromatography have significantly enhanced the developments and applications of metabolic profiling of lipids in more complex biological samples. As many diseases reveal a notable change in lipid profiles compared with that of healthy people, lipidomics have also been broadly introduced to scientific research on diseases. Exploration of lipid biochemistry by lipidomics approach will not only provide insights into specific roles of lipid molecular species in health and disease, but it will also support the identification of potential biomarkers for establishing preventive or therapeutic approaches for human health. This chapter aims to illustrate how lipidomics can contribute for understanding the biological mechanisms inherent to schizophrenia and why lipids are relevant biomarkers of schizophrenia. The application of lipidomics in clinical studies has the potential to provide new insights into lipid profiling and pathophysiological mechanisms underlying schizophrenia. The future perspectives of lipidomics in mental disorders are also discussed herein.
The original version of this book was revised. An erratum to this chapter can be found at DOI 10.1007/978-3-319-47656-8_14
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-47656-8_14
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAbbreviations
- AA:
-
Arachidonic acid
- APCI:
-
Atmospheric pressure chemical ionization
- BD:
-
Bipolar disorder
- BMI:
-
Body mass index
- CE:
-
Cholesteryl ester
- Cer:
-
Ceramide
- CNS:
-
Central nervous system
- COX:
-
Cyclooxygenase
- DG:
-
Diacylglycerol
- DHA:
-
Docosahexaenoic acid
- ELSD:
-
Evaporative light-scattering detector
- ESI:
-
Electrospray ionization
- FA:
-
Fatty acyl
- FFA:
-
Free fatty acid
- FID:
-
Flame ionization detector
- FTICR:
-
Fourier transform ion cyclotron resonance
- GC:
-
Gas chromatography
- GL:
-
Glycerolipid
- GP:
-
Glycerophospholipid
- GPA:
-
Glycerophosphatidic acid
- HDL:
-
High-density lipoprotein
- hexCer:
-
Monohexosylceramide
- HNE:
-
4-Hydroxynonenal
- HPLC:
-
High-performance liquid chromatography
- IM-MS:
-
Ion mobility-mass spectrometry
- LDL:
-
Low-density lipoprotein
- LOX:
-
Lipoxygenase
- LPC:
-
Lysophosphatidylcholine
- LPE:
-
Lysophosphatidylethanolamine
- LPO:
-
Lipid peroxidation
- MALDI:
-
Matrix-assisted laser desorption/ionization
- MS:
-
Mass spectrometry
- MS:
-
Mass spectrometry
- MS/MS:
-
Tandem mass spectrometry
- NAPS:
-
N-acyl-phosphatidylserine
- NMR:
-
Nuclear magnetic resonance
- NPLC:
-
Normal-phase liquid chromatography
- PA:
-
Phosphatidic acid
- PC:
-
Phosphatidylcholine
- PE:
-
Phosphatidylethanolamine
- PG:
-
Phosphoglycerol
- PI:
-
Phosphatidylinositol
- PK:
-
Polyketide
- Pl:
-
Plasmalogen
- PL:
-
Phospholipid
- PLA2 :
-
Phospholipase A2 PS: Phosphatidylserine
- PR:
-
Prenol lipid
- PS:
-
Phosphatidylserine
- PUFA:
-
Polyunsaturated fatty acid
- Q:
-
Quadrupole
- RBC:
-
Red blood cell
- ROS:
-
Reactive oxygen species
- S1P:
-
Sphingosine-1-phosphate
- SCZ:
-
Schizophrenia
- SL:
-
Saccharolipid
- SM:
-
Sphingomyelin
- SP:
-
Sphingolipid
- SPE:
-
Solid-phase extraction
- ST:
-
Sterol lipid
- TG:
-
Triacylglycerol
- TLC:
-
Thin-layer chromatography
- TOF:
-
Time of flight
- UPLC:
-
Ultra-performance liquid chromatography
- VLDL:
-
Very low-density lipoprotein
References
Han X, Gross RW. Electrospray ionization mass spectroscopic analysis of human erythrocyte plasma membrane phospholipids. Proc Natl Acad Sci U S A. 1994;91:10635–9.
Sethi S, Hayashi MA, Sussulini A, et al. Analytical approaches for lipidomics and its potential applications in neuropsychiatric disorders. World J Biol Psychiatry. 2016:1–15. doi:10.3109/15622975.2015.1117656.
Quehenberger O, Armando AM, Brown AH, et al. Lipidomics reveals a remarkable diversity of lipids in human plasma. J Lipid Res. 2010;51:3299–305.
Adibhatla RM, Hatcher JF. Role of lipids in brain injury and diseases. Future Lipidol. 2007;2:403–22.
Horrobin D. The lipid hypothesis of schizophrenia. In: Skinner ER, editor. Brain lipids and disorders in biological psychiatry, vol. 35. Amsterdam: Elsevier Science; 2002. p. 39–52.
Berger GE, Smesny S, Amminger GP. Bioactive lipids in schizophrenia. Int Rev Psychiatry. 2006;18:85–98.
Ota VK, Noto C, Santoro ML, et al. Increased expression of NDEL1 and MBP genes in the peripheral blood of antipsychotic-naïve patients with first-episode. Eur Neuropsychopharmacol. 2015;25:2416–25.
Maurya PK, Noto C, Rizzo LB, et al. The role of oxidative and nitrosative stress in accelerated aging and major depression disorder. Prog Neuropsychopharmacol Biol Psychiatry. 2016;65:134–44.
Kunz A, Anrather J, Zhou P, et al. Cyclooxygenase-2 does not contribute to postischemic production of reactive oxygen species. J Cereb Blood Flow Metab. 2007;27:545–51.
Paglia G, Kliman M, Claude E, et al. Applications of ion-mobility mass spectrometry for lipid analysis. Anal Bioanal Chem. 2015;407:4995–5007.
Vilella F, Ramirez LB, Simón C. Lipidomics as an emerging tool to predict endometrial receptivity. Fertil Steril. 2013;99:1100–6.
Smolinska A, Blanchet L, Buydens LMC, et al. NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review. Anal Chim Acta. 2012;750:82–97.
Liu M, Nicholson JK, Lindon JC. High-resolution diffusion and relaxation edited one- and two-dimensional 1H NMR spectroscopy of biological fluids. Anal Chem. 1996;68:3370–6.
Rolim AEH, Henrique-Araújo R, Ferraz EG, et al. Lipidomics in the study of lipid metabolism: current perspectives in the omic sciences. Gene. 2015;554:131–9.
Tukiainen T, Tynkkynen T, Mäkinen VP, et al. A multi-metabolite analysis of serum by 1H NMR spectroscopy: early systemic signs of Alzheimer’s disease. Biochem Biophys Res Commun. 2008;375:356–61.
Teo CC, Chong WPK, Tan E, et al. Advances in sample preparation and analytical techniques for lipidomics study of clinical samples. Trends Anal Chem. 2015;66:1–18.
Folch J, Lees M, Sloane Stanley GH. A simple method for the isolation and purification of total lipids from animal tissues. J Biol Chem. 1957;226:497–509.
Bligh EG, Dyer WJ. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. 1959;37:911–7.
Kaddurah-Daouk R, McEvoy J, Baillie RA, et al. Metabolomic mapping of atypical antipsychotic effects in schizophrenia. Mol Psychiatry. 2007;12:934–45.
Taha AY, Cheon Y, Ma K, et al. Altered fatty acid concentrations in prefrontal cortex of schizophrenic patients. J Psychiatr Res. 2013;47:636–43.
Carrasco-Pancorbo A, Navas-Iglesias N, Cuadros-Rodríguez L. From lipid analysis towards lipidomics, a new challenge for the analytical chemistry of the 21st century. Part I: modern lipid analysis. Trends Anal Chem. 2009;28:263–78.
Li M, Yang L, Bai Y, et al. Analytical methods in lipidomics and their applications. Anal Chem. 2014;81:161–75.
Wenk MR. The emerging field of lipidomics. Nat Rev Drug Discov. 2005;4:594–610.
Lutz NW, Cozzone PJ. Principles of multiparametric optimization for phospholipidomics by 31P NMR spectroscopy. Biophys Rev. 2013;5:295–304.
Leftin A, Mologu TR, Job C. Area per lipid and cholesterol interactions in membranes from separated local-field 13C NMR spectroscopy. Biophys J. 2014;107:2274–86.
Ala-Korpela M. 1H NMR spectroscopy of human blood plasma. Prog Nucl Magn Reson. 1995;27:475–554.
Barrilero R, Llobet E, Mallol R, et al. Design and evaluation of standard lipid prediction models based on 1H-NMR spectroscopy of human serum/plasma samples. Metabolomics. 2015;11:1394–404.
Nicolay K, Braun KPJ, de Graaf RA, et al. Diffusion NMR spectroscopy. NMR Biomed. 2001;14:94–111.
Piotto M, Saudek V, Sklenář V. Gradient-tailored excitation for single-quantum NMR spectroscopy of aqueous solutions. J Biomol NMR. 1992;2:661–5.
Liu M, Nicholson JK, Parkinson JA, et al. Measurement of biomolecular diffusion coefficients in blood plasma using two-dimensional 1H-1H diffusion-edited Total-Correlation NMR Spectroscopy. Anal Chem. 1997;69:1504–9.
Lopes TI, Geloneze B, Pareja JC, et al. “Omics” prospective monitoring of bariatric surgery: roux-en-Y gastric bypass outcomes using mixed-meal tolerance test and time-resolved (1)H NMR-based metabolomics. OMICS. 2016;20:415–23.
Cai HL, Li HD, Yan XZ, et al. Metabolomic analysis of biochemical changes in the plasma and urine of first-episode neuroleptic-naiv̈e schizophrenia patients after treatment with Risperidone. J Proteome Res. 2012;11:4338–50.
Gibbs SJ, Johnson Jr CS. A PFG NMR experiment for accurate diffusion and flow studies in the presence of eddy currents. J Magn Reson. 1991;93:395–402.
Fordham EJ, Gibbs SJ, Hall LD. Partially restricted diffusion in a permeable sandstone: observations by stimulated echo PFG NMR. Magn Reson Imaging. 1994;12:279–84.
Wu D, Chen A, Johnson CS. An improved diffusion-ordered spectroscopy experiment incorporating bipolar-gradient pulses. J Magn Reson A. 1995;115:260–4.
Beckwith-Hall BM, Thompson NA, Nicholson JK, et al. A metabonomic investigation of hepatotoxicity using diffusion-edited 1H NMR spectroscopy of blood serum. Analyst. 2003;128:814–8.
Checa A, Bedia C, Jaumot J. Lipidomic data analysis: tutorial, practical guidelines and applications. Anal Chim Acta. 2015;885:1–16.
Hyötyläinen T, Orešič M. Optimizing the lipidomics workflow for clinical studies-practical considerations. Anal Bioanal Chem. 2015;407:4973–93.
Kotronen A, Velagapudi VR, Yetukuri L, et al. Saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations. Diabetologia. 2009;52:684–90.
Vieu C, Terce F, Chevy F, et al. Coupled assay of sphingomyelin and ceramide molecular species by gas liquid chromatography. J Lipid Res. 2002;43:510–22.
Breier M, Wahl S, Prehn C, et al. Targeted metabolomics identifies reliable and stable metabolites in human serum and plasma samples. PLoS One. 2014;9:e89728.
Ishikawa M, Maekawa K, Saito K, et al. Plasma and serum lipidomics of healthy white adults shows characteristic profiles by subjects’ gender and age. PLoS One. 2014;9:e91806.
Zivkovic AM, Wiest MM, Nguyen U, et al. Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach. Metabolomics. 2009;5:209–18.
Gooley JJ, Chua EC. Diurnal regulation of lipid metabolism and applications of circadian lipidomics. J Genet Genomics. 2014;41:231–50.
Pietilainen KH, Sysi-Aho M, Rissanen A, et al. Acquired obesity is associated with changes in the serum lipidomic profile independent of genetic effects – a monozygotic twin study. PLoS One. 2007;2:e218.
Sethi S, Brietzke E. Omics-based biomarkers: application of metabolomics in neuropsychiatric disorders. Int J Neuropsychopharmacol. 2016;19(3):pyv096. doi:10.1093/ijnp/pyv096.
Sethi S, Chourasia D, Parhar IS. Approaches for targeted proteomics and its potential applications in neuroscience. J Biosci. 2015;40:607–27.
Meikle P, Barlow C, Weir J. Lipidomics and lipid biomarker discovery. Aus Biochemist. 2009;40:12–6.
Draisma HH, Reijmers TH, Bobeldijk-Pastorova I, et al. Similarities and differences in lipidomics profiles among healthy monozygotic twin pairs. OMICS. 2008;12:17–31.
Schmitt A, Wilczek K, Blennow K, et al. Altered thalamic membrane phospholipids in schizophrenia: a postmortem study. Biol Psychiatry. 2004;56:41–5.
Schwarz E, Prabakaran S, Whitfield P, et al. High throughput lipidomic profiling of schizophrenia and bipolar disorder brain tissue reveals alterations of free fatty acids, phosphatidylcholines, and Ceramides. J Proteome Res. 2008;7:4266–77.
Hamazaki K, Choi KH, Kim HY. Phospholipid profile in the postmortem hippocampus of patients with schizophrenia and bipolar disorder: no changes in docosahexaenoic acid species. J Psychiatr Res. 2010;44:688–93.
Orešič M, Tang J, Seppänen-Laakso T, et al. Metabolome in schizophrenia and other psychotic disorders: a general population-based study. Genome Med. 2011;3:19.
Orešič M, Seppänen-Laakso T, Sun D, et al. Phospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia. Genome Med. 2012;4:1.
McEvoy J, Baillie RA, Zhu H, et al. Lipidomics reveals early metabolic changes in subjects with schizophrenia: effects of atypical antipsychotics. PLoS One. 2013;8:e68717.
Wood PL. Accumulation of N-acylphosphatidylserines and N-acylserines in the frontal cortex in schizophrenia. Neurotransmitter. 2014;1:e263.
Wood PL, Filiou MD, Otte DM, et al. Lipidomics reveals dysfunctional glycosynapses in schizophrenia and the G72/G30 transgenic mouse. Schizophr Res. 2014;159:365–9.
Wood PL, Unfried G, Whitehead W, et al. Dysfunctional plasmalogen dynamics in the plasma and platelets of patients with schizophrenia. Schizophr Res. 2015;161:506–10.
Wood PL, Holderman NR. Dysfunctional glycosynapses in schizophrenia: disease and regional specificity. Schizophr Res. 2015;166:235–7.
Weng R, Shen S, Burton C, et al. Lipidomic profiling of tryptophan hydroxylase 2 knockout mice reveals novel lipid biomarkers associated with serotonin deficiency. Anal Bioanal Chem. 2016;408:2963–73.
Ponizovsky AM, Modai I, Nechamkin Y, et al. Phospholipid patterns of erythrocytes in schizophrenia: relationships to symptomatology. Schizophr Res. 2001;52:121–6.
Kaddurah-Daouk R, McEvoy J, Baillie R, et al. Impaired plasmalogens in patients with schizophrenia. Psychiatry Res. 2012;198:347–52.
Rao JS, Kellom M, Reese EA, et al. Dysregulated glutamate and dopamine transporters in postmortem frontal cortex from bipolar and schizophrenic patients. J Affect Disord. 2012;136:63–71.
Moghaddam B, Javitt D. From revolution to evolution: the glutamate hypothesis of schizophrenia and its implication for treatment. Neuropsychopharmacology. 2012;37:4–15.
Acknowledgments
We thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brasília, Brazil) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, São Paulo, Brazil) for their financial support and fellowship. SS received a Young Talent Scholarship from the CNPq. BSB received a scholarship from the FAPESP (2013/14707-9), and JGMP received a scholarship from the CNPq.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Sethi, S., Hayashi, M.A.F., Barbosa, B.S., Pontes, J.G.M., Tasic, L., Brietzke, E. (2017). Lipidomics, Biomarkers, and Schizophrenia: A Current Perspective. In: Sussulini, A. (eds) Metabolomics: From Fundamentals to Clinical Applications. Advances in Experimental Medicine and Biology(), vol 965. Springer, Cham. https://doi.org/10.1007/978-3-319-47656-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-47656-8_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47655-1
Online ISBN: 978-3-319-47656-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)