Abstract
Rationale
Discovering biomarkers of major depressive disorder (MDD) can give a deeper understanding of this mood disorder and improve the ability to screen for, diagnose, and treat MDD.
Objectives
In this study, metabolomics was used in unraveling metabolite fluctuations of MDD and drug outcome by creating specific metabolomic fingerprints. We report metabolomic patterns of change of the hippocampus of adult male Wistar rats following chronic social isolation (CSIS) (6 weeks), an animal model of depression, and/or chronic tianeptine (Tian) treatment (10 mg kg−1 per day) (lasting 3 weeks of 6-week CSIS), monitored by using comprehensive GC × GC–MS.
Results
The comparative metabolomic analysis highlighted the role of gamma aminobutyric acid (GABA), iso-allocholate, and unsaturated fatty acid metabolism alterations following the CSIS, which was corroborated with moderate to strong negative Pearson’s correlation of GABA, docosahexaenoic, 9-hexadecenoic acid, 5,8,11,14-eicosatetraynoic, and arachidonic acids with immobility behavior in the forced swim test. The antidepressant effect of Tian restored GABA levels, which was absent in Tian resilient rats. Tian decreased myo-inositol and increased TCA cycle intermediates, amino acids, and cholesterol and its metabolite. As key molecules of divergence between Tian effectiveness and resilience, metabolomics revealed myo-inositol, GABA, cholesterol, and its metabolite. A significant moderate positive correlation between myo-inositol and immobility was revealed. Tian probably acted by upregulating NMDAR’s and α2 adrenergic receptors (AR) or norepinephrine transporter in both control and stressed animals.
Conclusion
Metabolomics revealed several dysregulations underlying CSIS-induced depressive-like behavior and responsiveness to Tian, predominantly converging into NMDAR-mediated glutamate and myo-inositol signalization and GABA inhibitory pathways.
Graphical abstract
Similar content being viewed by others
References
Andreasen JT, Gynther M, Rygaard A et al (2013) Does increasing the ratio of AMPA-to-NMDA receptor mediated neurotransmission engender antidepressant action? Studies in the mouse forced swim and tail suspension tests. Neurosci Lett 546:6–10. https://doi.org/10.1016/J.NEULET.2013.04.045
Anis NA, Berry SC, Burton NR, Lodge D (1983) The dissociative anaesthetics, ketamine and phencyclidine, selectively reduce excitation of central mammalian neurones by N-methyl-aspartate. Br J Pharmac 79:565–575. https://doi.org/10.1111/j.1476-5381.1983.tb11031.x
Ates-Alagoz Z, Adejare A (2013) NMDA receptor antagonists for treatment of depression. Pharmaceuticals 6:480–499. https://doi.org/10.3390/ph6040480
Banasr M, Chowdhury GMI, Terwilliger R et al (2010) Glial pathology in an animal model of depression: reversal of stress-induced cellular, metabolic and behavioral deficits by the glutamate-modulating drug riluzole. Mol Psychiatry 15:501–511. https://doi.org/10.1038/mp.2008.106
Banasr M, Lepack A, Fee C et al (2017) Characterization of GABAergic marker expression in the chronic unpredictable stress model of depression. Chronic Stress 1:1–13. https://doi.org/10.1177/2470547017720459
Barkai A, Dunner D, Gross H et al (1978) Reduced myo-inositol levels in cerebrospinal fluid from patients with affective disorder. Biol Psychiatry 13:65–72
Barkóczi B (2012) Tianeptine induces GluA1 phosphorylation and subsequent alteration of the firing properties of CA1 neurons
Barnard K, Peveler RC, Holt RIG (2013) Antidepressant medication as a risk factor for type 2 diabetes and impaired glucose regulation. Diabetes Care 36:3337–3345. https://doi.org/10.2337/dc13-0560
Beyoǧlu D, Idle JR (2013) Metabolomics and its potential in drug development. Biochem Pharmacol 85:12–20. https://doi.org/10.1016/j.bcp.2012.08.013
Björkhem I (2006) Crossing the barrier: Oxysterols as cholesterol transporters and metabolic modulators in the brain. J Intern Med 260:493–508. https://doi.org/10.1111/j.1365-2796.2006.01725.x
Breiman L (2001) Random forests. Mach Learn 45:5–32. https://doi.org/10.1023/A:1010933404324
Casarotto PC, Girych M, Fred SM et al (2021) Antidepressant drugs act by directly binding to TRKB neurotrophin receptors. Cell 184:1299–1313. https://doi.org/10.1016/j.cell.2021.01.034
Chan SY, Matthews E, Burnet PWJ (2017) On or off?: modulating the N-methyl-D-aspartate receptor in major depression. Front Mol Neurosci 9:1–9. https://doi.org/10.3389/fnmol.2016.00169
Chiappelli J, Rowland LM, Wijtenburg SA et al (2015) Evaluation of myo-inositol as a potential biomarker for depression in schizophrenia. Neuropsychopharmacology 40:2157–2164. https://doi.org/10.1038/npp.2015.57
Chong J, Wishart DS, Xia J (2019) Using MetaboAnalyst 4.0 for comprehensive and integrative metabolomics data analysis. Curr Protoc Bioinforma 68:1–128. https://doi.org/10.1002/cpbi.86
Chu C, Wei H, Zhu W et al (2017) Decreased prostaglandin d2 levels in major depressive disorder are associated with depression-like behaviors. Int J Neuropsychopharmacol 20:731–739. https://doi.org/10.1093/ijnp/pyx044
Clayton TA, Lindon JC, Cloarec O et al (2006) Pharmaco-metabonomic phenotyping and personalized drug treatment. Nature 440:1073–1077. https://doi.org/10.1038/nature04648
Czéh B, Michaelis T, Watanabe T et al (2001) Stress-induced changes in cerebral metabolites, hippocampal volume, and cell proliferation are prevented by antidepressant treatment with tianeptine. Proc Natl Acad Sci U S A 98:12796–12801. https://doi.org/10.1073/pnas.211427898
Dietschy JM, Turley SD (2004) Cholesterol metabolism in the central nervous system during early development and in the mature animal. J Lipid Res 45:1375–1397. https://doi.org/10.1194/jlr.R400004-JLR200
Djordjevic J, Djordjevic A, Adzic M, Radojcic MB (2012) Effects of chronic social isolation on wistar rat behavior and brain plasticity markers. Neuropsychobiology 66:112–119. https://doi.org/10.1159/000338605
Djordjevic J, Djordjevic A, Adzic M et al (2015) Alterations in the Nrf2-Keap1 signaling pathway and its downstream target genes in rat brain under stress. Brain Res 1602:20–31. https://doi.org/10.1016/j.brainres.2015.01.010
Doze VA, Handel EM, Jensen KA et al (2009) α 1A-and α 1B-adrenergic receptors differentially modulate antidepressant-like behavior in the mouse. Brain Res 1285:148–157. https://doi.org/10.1016/j.brainres.2009.06.035
Dumas ME, Davidovic L (2015) Metabolic profiling and phenotyping of central nervous system diseases: metabolites bring insights into brain dysfunctions. J Neuroimmune Pharmacol 10:402–424. https://doi.org/10.1007/s11481-014-9578-5
Ekdahl CT, Claasen J-H, Bonde S et al (2003) Inflammation is detrimental for neurogenesis in adult brain. Proc Natl Acad Sci 100:13632–13637. https://doi.org/10.1073/pnas.2234031100
Elaković I, Djordjevic A, Adzic M et al (2011) Gender-specific response of brain corticosteroid receptors to stress and fluoxetine. Brain Res 1384:61–68. https://doi.org/10.1016/j.brainres.2011.01.078
Feldman EB, Russell BS, Schnare FH (1979) Effects of diets of homogenous saturated triglycerides on cholesterol balance in rats. J Nutr 109:2237–2246. https://doi.org/10.1093/jn/109.12.2237
Fernandes MF, Mutch DM, Leri F (2017) The Relationship between fatty acids and different depression-related brain regions, and their potential role as biomarkers of response to antidepressants. Nutrients 9:1–19. https://doi.org/10.3390/nu9030298
Filiou MD, Webhofer C, Gormanns P et al (2012) The 15N isotope effect as a means for correlating phenotypic alterations and affected pathways in a trait anxiety mouse model. Proteomics 12:2421–2427. https://doi.org/10.1002/pmic.201100673
Finegold D, Lattimer SA, Nolle S et al (1983) Polyol pathway activity and myo-inositol metabolism. A suggested relationship in the pathogenesis of diabetic neuropathy. Diabetes 32:988–992. https://doi.org/10.2337/diab.32.11.988
Garzón J, Del Río J (1981) Hyperactivity induced in rats by long-term isolation: further studies on a new animal model for the detection of antidepressants. Eur J Pharmacol 74:287–294. https://doi.org/10.1016/0014-2999(81)90047-9
Grundy SM (1994) Influence of stearic acid on cholesterol metabolism relative to other long-chain fatty acids. Am J Clin Nutr 60:986S-990S. https://doi.org/10.1093/AJCN/60.6.986S
Hallahan B, Ryan T, Hibbeln JR et al (2016) Efficacy of omega-3 highly unsaturated fatty acids in the treatment of depression. Br J Psychiatry 209:192–201. https://doi.org/10.1192/bjp.bp.114.160242
Harwood AJ (2005) Lithium and bipolar mood disorder: the inositol-depletion hypothesis revisited. Mol Psychiatry 10:117–126. https://doi.org/10.1038/sj.mp.4001618
Holmes E, Wilson ID, Nicholson JK (2008) Metabolic phenotyping in health and disease. Cell 134:714–717. https://doi.org/10.1016/j.cell.2008.08.026
Hu W, Zhang M, Czéh B et al (2010) Stress impairs GABAergic network function in the hippocampus by activating nongenomic glucocorticoid receptors and affecting the integrity of the parvalbumin-expressing neuronal network. Neuropsychopharmacology 35:1693–1707. https://doi.org/10.1038/npp.2010.31
Hu H, Zhou Y, Leng T et al (2014) The major cholesterol metabolite cholestane-3β,5α,6β-triol functions as an endogenous neuroprotectant. J Neurosci 34:11426–11438. https://doi.org/10.1523/JNEUROSCI.0344-14.2014
Iwata M, Ota KT, Li X-Y et al (2016) Psychological stress activates the inflammasome via release of adenosine triphosphate and stimulation of the purinergic type 2X7 receptor. Biol Psychiatry 80:12–22. https://doi.org/10.1016/j.biopsych.2015.11.026
Jiang L-H, Liang Q-Y, Shi Y (2012) Pure docosahexaenoic acid can improve depression behaviors and affect HPA axis in mice. Eur Rev Med Pharmacol Sci 16:1765–1773
Jollife IT, Cadima J (2016) Principal component analysis: a review and recent developments. Philos Trans R Soc A 374:20150202. https://doi.org/10.1098/rsta.2015.0202
Kitano H (2002) Systems biology: a brief overview. Science 295(5560):1662–1664. https://doi.org/10.1126/science.1069492
Kotermanski SE, Johnson JW (2009) Mg 2+ imparts NMDA receptor subtype selectivity to the Alzheimer’s drug memantine. J Neurosci 29:2774–2779. https://doi.org/10.1523/JNEUROSCI.3703-08.2009
Lanni C, Lenzken SC, Pascale A et al (2008) Cognition enhancers between treating and doping the mind. Pharmacol Res 57:196–213. https://doi.org/10.1016/j.phrs.2008.02.004
Lechin F, van der Dijs B, Hernández G et al (2006) Acute effects of tianeptine on circulating neurotransmitters and cardiovascular parameters. Prog Neuro-Psychopharmacology Biol Psychiatry 30:214–222. https://doi.org/10.1016/j.pnpbp.2005.10.013
Lee B, Pothula S, S. Duman R, (2020) NMDAR modulators as rapid antidepressants converging and distinct signaling mechanisms. Integr Clin Med 4:1–3. https://doi.org/10.15761/icm.1000173
Li C, Soufan O, Chong J et al (2018) MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res 46:W486–W494. https://doi.org/10.1093/nar/gky310
Liaw A, Wiener M (2002) Classification and regression by random Forest
Lipton SA (2004) Failures and successes of NMDA receptor antagonists: molecular basis for the use of open-channel blockers like memantine in the treatment of acute and chronic neurologic insults. NeuroRx J Am Soc Exp Neurother Fail 1:101–110. https://doi.org/10.1602/neurorx.1.1.101
Lôo H, Ganry H, Dufour H et al (1992) Long-term use of tianeptine in 380 depressed patients. Br J Psychiatry 160:61–65. https://doi.org/10.1192/S0007125000296700
Lucaj S, Leo RJ (2018) Tianeptine sodium: a nootropic with potentially lethal consequences. NLM (Medline)
Luscher B, Fuchs T (2015) GABAergic control of depression-related brain states. Adv Pharmacol 73:97–144. https://doi.org/10.1016/bs.apha.2014.11.003
McEwen BS, Conrad CD, Kuroda Y, et al (1997) Prevention of stress-induced morphological and cognitive consequences. In: European Neuropsychopharmacology. Elsevier, pp S323–S328
Mapstone M, Cheema AK, Fiandaca MS et al (2014) Plasma phospholipids identify antecedent memory impairment in older adults. Nat Med 20:415–418. https://doi.org/10.1038/nm.3466
McEwen B, Chattarji S, Diamond D et al (2010) The neurobiological properties of tianeptine (Stablon): from monoamine hypothesis to glutamatergic modulation. Mol Psychiatry 15:237–249. https://doi.org/10.1038/mp.2009.80
McLoughlin GA, Dan M, Tsang TM et al (2009) Analyzing the effects of psychotropic drugs on metabolite profiles in rat brain using 1H NMR spectroscopy. J Proteome Res 8:1943–1952. https://doi.org/10.1021/pr800892u
Mitic M, Lukic I, Bozovic N et al (2015) Fluoxetine signature on hippocampal MAPK signalling in sex-dependent manner. J Mol Neurosci 55:335–346. https://doi.org/10.1007/s12031-014-0328-1
Mocaër E, Rettori MC, Kamoun A (1988) Pharmacological antidepressive effects and tianeptine-induced 5-HT uptake increase. Clin Neuropharmacol 11:32–42
Monyer H, Burnashev N, Laurie DJ et al (1994) Developmental and regional expression in the rat brain and functional properties of four NMDA receptors. Neuron 12:529–540. https://doi.org/10.1016/0896-6273(94)90210-0
Musazzi L, Treccani G, Mallei A, Popoli M (2013) The action of antidepressants on the glutamate system: regulation of glutamate release and glutamate receptors. Biol Psychiatry 73:1180–1188. https://doi.org/10.1016/J.BIOPSYCH.2012.11.009
Nibuya M, Morinobu S, Duman RS (1995) Regulation of BDNF and trkB mRNA in rat brain by chronic electroconvulsive seizure and antidepressant drug treatments. J Neurosci 15:7539–7547
O’Keefe J, Nadel L (1978) The hippocampus as a cognitive map. Oxford University Press
Park H, Poo MM (2013) Neurotrophin regulation of neural circuit development and function. Nat Rev Neurosci 14:7–23. https://doi.org/10.1038/nrn3379
Parker GC, McKee ME, Bishop C, Coscina DV (2001) Whole-body metabolism varies across the estrous cycle in Sprague-Dawley rats. Physiol Behav 74:399–403. https://doi.org/10.1016/S0031-9384(01)00599-6
Perić I, Stanisavljević A, Gass P, Filipović D (2017) Fluoxetine reverses behavior changes in socially isolated rats: role of the hippocampal GSH-dependent defense system and proinflammatory cytokines. Eur Arch Psychiatry Clin Neurosci 267:737–749. https://doi.org/10.1007/s00406-017-0807-9
Perić I, Costina V, Stanisavljević A et al (2018) Proteomic characterization of hippocampus of chronically socially isolated rats treated with fluoxetine: depression-like behaviour and fluoxetine mechanism of action. Neuropharmacology 135:268–283. https://doi.org/10.1016/j.neuropharm.2018.03.034
Perić I, Stanisavljević A, Dragos I et al (2019) Tianeptine antagonizes the reduction of PV+ and GAD67 cells number in dorsal hippocampus of socially isolated rats. Prog Neuro-Psychopharmacology Biol Psychiatry 89:386–399. https://doi.org/10.1016/j.pnpbp.2018.10.013
Perić I, Costina V, Findeisen P et al (2020) Tianeptine enhances energy-related processes in the hippocampal non-synaptic mitochondria in a rat model of depression. Neuroscience 451:111–125. https://doi.org/10.1016/j.neuroscience.2020.09.061
Porsolt RD, Anton G, Blavet N, Jalfre M (1978) Behavioural despair in rats: a new model sensitive to antidepressant treatments. Eur J Pharmacol 47:379–391
Preskorn SH (2004) Tianeptine: A facilitator of the reuptake of serotonin and norepinephrine as an antidepressant? J Psychiatr Pract 10:323–330. https://doi.org/10.1097/00131746-200409000-00006
Pu J, Liu Y, Zhang H et al (2021) An integrated meta-analysis of peripheral blood metabolites and biological functions in major depressive disorder. Mol Psychiatry 26:4265–4276. https://doi.org/10.1038/s41380-020-0645-4
Ravikumar P, Jeyam M (2019) Antidepressant activity and HPTLC fingerprinting of stearic acid in different days of wheat seedlings. Grain Oil Sci Technol 2:6–10. https://doi.org/10.1016/j.gaost.2019.04.002
Rogóz Z, Skuza G, Dlaboga D et al (2001) Effect of repeated treatment with tianeptine and fluoxetine on the central α1-adrenergic system. Neuropharmacology 41:360–368. https://doi.org/10.1016/S0028-3908(01)00079-X
Saland SK, Wilczak K, Voss E et al (2022) Sex- and estrous-cycle dependent dorsal hippocampal phosphoproteomic changes induced by low-dose ketamine. Sci Rep 12:1–22. https://doi.org/10.1038/s41598-022-05937-x
Scaini G, Maggi DD, De-Nês BT et al (2011) Activity of mitochondrial respiratory chain is increased by chronic administration of antidepressants. Acta Neuropsychiatr 23:112–118. https://doi.org/10.1111/j.1601-5215.2011.00548.x
Schramm NL, McDonald MP, Limbird LE (2001) The α2A-adrenergic receptor plays a protective role in mouse behavioral models of depression and anxiety. J Neurosci 21:4875–4882. https://doi.org/10.1523/jneurosci.21-13-04875.2001
Schubring SR, Fleischer W, Lin JS et al (2012) The bile steroid chenodeoxycholate is a potent antagonist at NMDA and GABA A receptors. Neurosci Lett 506:322–326. https://doi.org/10.1016/j.neulet.2011.11.036
Smith DH (2013) Cognitive Enhancers Cmaj 185:799. https://doi.org/10.1503/cmaj.113-2118
Sublette EL, Russ MJ, Smith GS (2004) Evidence for a role of the arachidonic acid cascade in affective disorders: a review. Bipolar Disord 6:95–105. https://doi.org/10.1046/j.1399-5618.2003.00094.x
Sueyasu T, Morita S, Tokuda H et al (2020) Dietary arachidonic acid improves age-related excessive enhancement of the stress response. Eur Rev Med Pharmacol Sci 24:2110–2119. https://doi.org/10.26355/eurrev_202002_20391
Suzuki H, Yamashiro D, Ogawa S, et al (2020) Intake of seven essential amino acids improves cognitive function and psychological and social function in middle-aged and older adults: a double-blind, randomized, placebo-controlled trial. Front Nutr 7 https://doi.org/10.3389/fnut.2020.586166
Svenningsson P, Bateup H, Qi H et al (2007) Involvement of AMPA receptor phosphorylation in antidepressant actions with special reference to tianeptine. Eur J Neurosci 26:3509–3517. https://doi.org/10.1111/j.1460-9568.2007.05952.x
Svetnik V, Liaw A, Tong C et al (2003) Random Forest: a classification and regression tool for compound classification and QSAR modeling. J Chem Inf Comput Sci 43:1947–1958. https://doi.org/10.1021/ci034160g
Szymanska E, Saccenti E, Smilde AK, Westerhuis JA (2012) Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies. Metabolomics 8:S3–S16. https://doi.org/10.1007/s11306-011-0330-3
Taylor MJ, Selvaraj S, Norbury R et al (2009) Normal glutamate but elevated myo-inositol in anterior cingulate cortex in recovered depressed patients. J Affect Disord 119:186–189. https://doi.org/10.1016/j.jad.2009.02.022
Tramarin M, Rusconi L, Pizzamiglio L et al (2018) The antidepressant tianeptine reverts synaptic AMPA receptor defects caused by deficiency of CDKL5. Hum Mol Genet 27:2052–2063. https://doi.org/10.1093/hmg/ddy108
Triba MN, Le Moyec L, Amathieu R et al (2015) PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters. Mol Biosyst 11:13–19. https://doi.org/10.1039/c4mb00414k
Turck CW, Filiou MD (2015) What have mass spectrometry-based proteomics and metabolomics (not) taught us about psychiatric disorders? Mol Neuropsychiatry 1:69–75. https://doi.org/10.1159/000381902
Uys MM, Shahid M, Harvey BH (2017) Therapeutic potential of selectively targeting the α2C-adrenoceptor in cognition, depression, and schizophrenia—new developments and future perspective. Front Psychiatry 8:1–23. https://doi.org/10.3389/fpsyt.2017.00144
Vinayavekhin N, Homan EA, Saghatelian A (2010) Exploring disease through metabolomics. ACS Chem Biol 5:91–103. https://doi.org/10.1021/cb900271r
Wagstaff A, Ormrod D, Spencer C (2001) Tianeptine: a review of its use in depressive disorders. CNS Drugs 15:231–259. https://doi.org/10.2165/00023210-200115030-00006
Webhofer C, Gormanns P, Reckow S et al (2013) Proteomic and metabolomic profiling reveals time-dependent changes in hippocampal metabolism upon paroxetine treatment and biomarker candidates. J Psychiatr Res 47:289–298. https://doi.org/10.1016/j.jpsychires.2012.11.003
Wilkinson ST, Sanacora G (2019) A new generation of antidepressants: an update on the pharmaceutical pipeline for novel and rapid-acting therapeutics in mood disorders based on glutamate/GABA neurotransmitter systems. Drug Discov Today 24:606–615. https://doi.org/10.1016/j.drudis.2018.11.007
Winnike JH, Wei X, Knagge KJ et al (2015) Comparison of GC-MS and GC×GC-MS in the analysis of human serum samples for biomarker discovery. J Proteome Res 14:1810–1817. https://doi.org/10.1021/pr5011923
Worley B, Powers R (2013) Multivariate analysis in metabolomics. Curr. Metabolomics 1:92–107. https://doi.org/10.2174/2213235X11301010092
Yankelevitch-Yahav R, Franko M, Huly A, Doron R (2015) The forced swim test as a model of depressive-like behavior. J Vis Exp e52587. https://doi.org/10.3791/52587
Young EA, Midgley AR, Carlson NE, Brown MB (2000) Alteration the hypothalamic-pituitary-ovarian axis in depressed women. Arch Gen Psychiatry 57:1157–1162. https://doi.org/10.1001/archpsyc.57.12.1157
Zhang J, Liu Q (2015) Cholesterol metabolism and homeostasis in the brain. Protein Cell 6:254–264. https://doi.org/10.1007/s13238-014-0131-3
Zhang Y, Filiou MD, Reckow S et al (2011) Proteomic and metabolomic profiling of a trait anxiety mouse model implicate affected pathways. Mol Cell Proteomics 10(M111):008110. https://doi.org/10.1074/mcp.M111.008110
Zhao J, Jung Y-HH, Jang C-GG et al (2015) Metabolomic identification of biochemical changes induced by fluoxetine and imipramine in a chronic mild stress mouse model of depression. Sci Rep 5:1–8. https://doi.org/10.1038/srep08890
Zoladz PR, Muñoz C, Diamond DM (2010) Beneficial effects of tianeptine on hippocampus-dependent long-term memory and stress-induced alterations of brain structure and function. Pharmaceuticals 3:3143–3166. https://doi.org/10.3390/ph3103143
Acknowledgements
We thank Andrijana Stanisavljević, Ph.D. student of the “VINČA” Institute of Nuclear Sciences—National Institute of the Republic of Serbia, Department of Molecular Biology and Endocrinology, for the help during animal experiments.
Funding
This work was funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia (registration number: 451–03-68/2022–14/ 200017 and financed partly 451–03-9/2021–14/200026 and 451–03-9/2021–14/ 200168).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Perić, I., Lješević, M., Beškoski, V. et al. Metabolomic profiling relates tianeptine effectiveness with hippocampal GABA, myo-inositol, cholesterol, and fatty acid metabolism restoration in socially isolated rats. Psychopharmacology 239, 2955–2974 (2022). https://doi.org/10.1007/s00213-022-06180-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00213-022-06180-y