Oxidative and Excitatory Neurotoxic Stresses in CRISPR/Cas9-Induced Kynurenine Aminotransferase Knockout Mice: A Novel Model for Despair-Based Depression and Post-Traumatic Stress Disorder
Ágnes Szabó , Zsolt Galla , Eleonóra Spekker , Mónika Szűcs , Diána Martos , Keiko Takeda , Kinuyo Ozaki , Hiromi Inoue , Sayo Yamamoto , József Toldi , Etsuro Ono , László Vécsei , Masaru Tanaka
Frontiers in Bioscience-Landmark ›› 2025, Vol. 30 ›› Issue (1) : 25706
Memory and emotion are especially vulnerable to psychiatric disorders such as post-traumatic stress disorder (PTSD), which is linked to disruptions in serotonin (5-HT) metabolism. Over 90% of the 5-HT precursor tryptophan (Trp) is metabolized via the Trp-kynurenine (KYN) metabolic pathway, which generates a variety of bioactive molecules. Dysregulation of KYN metabolism, particularly low levels of kynurenic acid (KYNA), appears to be linked to neuropsychiatric disorders. The majority of KYNA is produced by the aadat (kat2) gene-encoded mitochondrial kynurenine aminotransferase (KAT) isotype 2. Little is known about the consequences of deleting the KYN enzyme gene.
In CRISPR/Cas9-induced aadat knockout (kat2-/-) mice, we examined the effects on emotion, memory, motor function, Trp and its metabolite levels, enzyme activities in the plasma and urine of 8-week-old males compared to wild-type mice.
Transgenic mice showed more depressive-like behaviors in the forced swim test, but not in the tail suspension, anxiety, or memory tests. They also had fewer center field and corner entries, shorter walking distances, and fewer jumping counts in the open field test. Plasma metabolite levels are generally consistent with those of urine: antioxidant KYNs, 5-hydroxyindoleacetic acid, and indole-3-acetic acid levels were lower; enzyme activities in KATs, kynureninase, and monoamine oxidase/aldehyde dehydrogenase were lower, but kynurenine 3-monooxygenase was higher; and oxidative stress and excitotoxicity indices were higher. Transgenic mice displayed depression-like behavior in a learned helplessness model, emotional indifference, and motor deficits, coupled with a decrease in KYNA, a shift of Trp metabolism toward the KYN-3-hydroxykynurenine pathway, and a partial decrease in the gut microbial Trp-indole pathway metabolite.
This is the first evidence that deleting the aadat gene induces depression-like behaviors uniquely linked to experiences of despair, which appear to be associated with excitatory neurotoxic and oxidative stresses. This may lead to the development of a double-hit preclinical model in despair-based depression, a better understanding of these complex conditions, and more effective therapeutic strategies by elucidating the relationship between Trp metabolism and PTSD pathogenesis.
post-traumatic stress disorder (PTSD) / depression / anxiety / tryptophan / kynurenine / microbiota / oxidative stress / transgenic mice / translational medical research / CRISPR/Cas9
| [1] |
Tyng CM, Amin HU, Saad MNM, Malik AS. The Influences of Emotion on Learning and Memory. Frontiers in Psychology. 2017; 8: 1454. https://doi.org/10.3389/fpsyg.2017.01454. |
| [2] |
Battaglia S, Garofalo S, di Pellegrino G, Starita F. Revaluing the Role of vmPFC in the Acquisition of Pavlovian Threat Conditioning in Humans. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience. 2020; 40: 8491–8500. https://doi.org/10.1523/JNEUROSCI.0304-20.2020. |
| [3] |
Battaglia S, Harrison BJ, Fullana MA. Does the human ventromedial prefrontal cortex support fear learning, fear extinction or both? A commentary on subregional contributions. Molecular Psychiatry. 2022; 27: 784–786. https://doi.org/10.1038/s41380-021-01326-4. |
| [4] |
Sumsuzzman DM, Choi J, Jin Y, Hong Y. Neurocognitive effects of melatonin treatment in healthy adults and individuals with Alzheimer’s disease and insomnia: A systematic review and meta-analysis of randomized controlled trials. Neuroscience and Biobehavioral Reviews. 2021; 127: 459–473. https://doi.org/10.1016/j.neubiorev.2021.04.034. |
| [5] |
Borgomaneri S, Battaglia S, Sciamanna G, Tortora F, Laricchiuta D. Memories are not written in stone: Re-writing fear memories by means of non-invasive brain stimulation and optogenetic manipulations. Neuroscience and Biobehavioral Reviews. 2021; 127: 334–352. https://doi.org/10.1016/j.neubiorev.2021.04.036. |
| [6] |
Matias JN, Achete G, Campanari GSDS, Guiguer ÉL, Araújo AC, Buglio DS, et al. A systematic review of the antidepressant effects of curcumin: Beyond monoamines theory. The Australian and New Zealand Journal of Psychiatry. 2021; 55: 451–462. https://doi.org/10.1177/0004867421998795. |
| [7] |
Hasson U, Chen J, Honey CJ. Hierarchical process memory: memory as an integral component of information processing. Trends in Cognitive Sciences. 2015; 19: 304–313. https://doi.org/10.1016/j.tics.2015.04.006. |
| [8] |
Clewett D, Sakaki M, Nielsen S, Petzinger G, Mather M. Noradrenergic mechanisms of arousal’s bidirectional effects on episodic memory. Neurobiology of Learning and Memory. 2017; 137: 1–14. https://doi.org/10.1016/j.nlm.2016.10.017. |
| [9] |
Battaglia S, Nazzi C, Thayer JF. Fear-induced bradycardia in mental disorders: Foundations, current advances, future perspectives. Neuroscience and Biobehavioral Reviews. 2023; 149: 105163. https://doi.org/10.1016/j.neubiorev.2023.105163. |
| [10] |
Battaglia S, Di Fazio C, Vicario CM, Avenanti A. Neuropharmacological Modulation of N-methyl-D-aspartate, Noradrenaline and Endocannabinoid Receptors in Fear Extinction Learning: Synaptic Transmission and Plasticity. International Journal of Molecular Sciences. 2023; 24: 5926. https://doi.org/10.3390/ijms24065926. |
| [11] |
Hayes JP, Vanelzakker MB, Shin LM. Emotion and cognition interactions in PTSD: a review of neurocognitive and neuroimaging studies. Frontiers in Integrative Neuroscience. 2012; 6: 89. https://doi.org/10.3389/fnint.2012.00089. |
| [12] |
Dillon DG, Pizzagalli DA. Mechanisms of Memory Disruption in Depression. Trends in Neurosciences. 2018; 41: 137–149. https://doi.org/10.1016/j.tins.2017.12.006. |
| [13] |
Mathews A, MacLeod C. Cognitive vulnerability to emotional disorders. Annual Review of Clinical Psychology. 2005; 1: 167–195. https://doi.org/10.1146/annurev.clinpsy.1.102803.143916. |
| [14] |
de Oliveira Zanuso B, de Oliveira Dos Santos AR, Miola VFB, Guissoni Campos LM, Spilla CSG, Barbalho SM. Panax ginseng and aging related disorders: A systematic review. Experimental Gerontology. 2022; 161: 111731. https://doi.org/10.1016/j.exger.2022.111731. |
| [15] |
Darcet F, Mendez-David I, Tritschler L, Gardier AM, Guilloux JP, David DJ. Learning and memory impairments in a neuroendocrine mouse model of anxiety/depression. Frontiers in Behavioral Neuroscience. 2014; 8: 136. https://doi.org/10.3389/fnbeh.2014.00136. |
| [16] |
Hasebe K, Kendig MD, Morris MJ. Mechanisms Underlying the Cognitive and Behavioural Effects of Maternal Obesity. Nutrients. 2021; 13: 240. https://doi.org/10.3390/nu13010240. |
| [17] |
Junges VM, Closs VE, Nogueira GM, Gottlieb MGV. Crosstalk between Gut Microbiota and Central Nervous System: A Focus on Alzheimer’s Disease. Current Alzheimer Research. 2018; 15: 1179–1190. https://doi.org/10.2174/1567205015666180904155908. |
| [18] |
Guzmán-Vélez E, Feinstein JS, Tranel D. Feelings without memory in Alzheimer disease. Cognitive and Behavioral Neurology: Official Journal of the Society for Behavioral and Cognitive Neurology. 2014; 27: 117–129. https://doi.org/10.1097/WNN.0000000000000020. |
| [19] |
Mack J, Marsh L. Parkinson’s Disease: Cognitive Impairment. Focus (American Psychiatric Publishing). 2017; 15: 42–54. https://doi.org/10.1176/appi.focus.20160043. |
| [20] |
Mckee AC, Daneshvar DH. The neuropathology of traumatic brain injury. Handbook of Clinical Neurology. 2015; 127: 45–66. https://doi.org/10.1016/B978-0-444-52892-6.00004-0. |
| [21] |
Li M, Feng L, Liu X, Zhang M, Fu B, Wang G, et al. Emotional working memory in patients with major depressive disorder. The Journal of International Medical Research. 2018; 46: 1734–1746. https://doi.org/10.1177/0300060518758225. |
| [22] |
Samuelson KW. Post-traumatic stress disorder and declarative memory functioning: a review. Dialogues in Clinical Neuroscience. 2011; 13: 346–351. https://doi.org/10.31887/DCNS.2011.13.2/ksamuelson. |
| [23] |
Dere E, Pause BM, Pietrowsky R. Emotion and episodic memory in neuropsychiatric disorders. Behavioural Brain Research. 2010; 215: 162–171. https://doi.org/10.1016/j.bbr.2010.03.017. |
| [24] |
Buglio DS, Marton LT, Laurindo LF, Guiguer EL, Araújo AC, Buchaim RL, et al. The Role of Resveratrol in Mild Cognitive Impairment and Alzheimer’s Disease: A Systematic Review. Journal of Medicinal Food. 2022; 25: 797–806. https://doi.org/10.1089/jmf.2021.0084. |
| [25] |
Barbalho SM, Direito R, Laurindo LF, Marton LT, Guiguer EL, Goulart RDA, et al. Ginkgo biloba in the Aging Process: A Narrative Review. Antioxidants (Basel, Switzerland). 2022; 11: 525. https://doi.org/10.3390/antiox11030525. |
| [26] |
Tanaka M, Vécsei L. Revolutionizing our understanding of Parkinson’s disease: Dr. Heinz Reichmann’s pioneering research and future research direction. Journal of Neural Transmission (Vienna, Austria: 1996). 2024; 10.1007/s00702–10.1007/s00702–024–02812–z. https://doi.org/10.1007/s00702-024-02812-z. |
| [27] |
Berger M, Gray JA, Roth BL. The expanded biology of serotonin. Annual Review of Medicine. 2009; 60: 355–366. https://doi.org/10.1146/annurev.med.60.042307.110802. |
| [28] |
Ressler KJ, Nemeroff CB. Role of serotonergic and noradrenergic systems in the pathophysiology of depression and anxiety disorders. Depression and Anxiety. 2000; 12 Suppl 1: 2–19. https://doi.org/10.1002/1520-6394(2000)12:1+<2::AID-DA2>3.0.CO;2-4. |
| [29] |
Bacqué-Cazenave J, Bharatiya R, Barrière G, Delbecque JP, Bouguiyoud N, Di Giovanni G, et al. Serotonin in Animal Cognition and Behavior. International Journal of Molecular Sciences. 2020; 21: 1649. https://doi.org/10.3390/ijms21051649. |
| [30] |
Meneses A, Liy-Salmeron G. Serotonin and emotion, learning and memory. Reviews in the Neurosciences. 2012; 23: 543–553. https://doi.org/10.1515/revneuro-2012-0060. |
| [31] |
Švob Štrac D, Pivac N, Mück-Šeler D. The serotonergic system and cognitive function. Translational Neuroscience. 2016; 7: 35–49. https://doi.org/10.1515/tnsci-2016-0007. |
| [32] |
Schmitt JAJ, Wingen M, Ramaekers JG, Evers EAT, Riedel WJ. Serotonin and human cognitive performance. Current Pharma-ceutical Design. 2006; 12: 2473–2486. https://doi.org/10.2174/138161206777698909. |
| [33] |
Buhot MC, Martin S, Segu L. Role of serotonin in memory impairment. Annals of Medicine. 2000; 32: 210–221. https://doi.org/10.3109/07853890008998828. |
| [34] |
Battaglia S, Avenanti A, Vécsei L, Tanaka M. Neural Correlates and Molecular Mechanisms of Memory and Learning. International Journal of Molecular Sciences. 2024; 25: 2724. https://doi.org/10.3390/ijms25052724. |
| [35] |
Battaglia S, Cardellicchio P, Di Fazio C, Nazzi C, Fracasso A, Borgomaneri S. Stopping in (e)motion: Reactive action inhibition when facing valence-independent emotional stimuli. Frontiers in Behavioral Neuroscience. 2022; 16: 998714. https://doi.org/10.3389/fnbeh.2022.998714. |
| [36] |
Cowen P, Sherwood AC. The role of serotonin in cognitive function: evidence from recent studies and implications for understanding depression. Journal of Psychopharmacology (Oxford, England). 2013; 27: 575–583. https://doi.org/10.1177/0269881113482531. |
| [37] |
Battaglia S, Cardellicchio P, Di Fazio C, Nazzi C, Fracasso A, Borgomaneri S. The Influence of Vicarious Fear-Learning in “In-fecting” Reactive Action Inhibition. Frontiers in Behavioral Neuroscience. 2022; 16: 946263. https://doi.org/10.3389/fnbeh.2022.946263. |
| [38] |
Battaglia S, Thayer JF. Functional interplay between central and autonomic nervous systems in human fear conditioning. Trends in Neurosciences. 2022; 45: 504–506. https://doi.org/10.1016/j.tins.2022.04.003. |
| [39] |
Battaglia S, Orsolini S, Borgomaneri S, Barbieri R, Diciotti S, di Pellegrino G. Characterizing cardiac autonomic dynamics of fear learning in humans. Psychophysiology. 2022; 59: e14122. https://doi.org/10.1111/psyp.14122. |
| [40] |
Di Gregorio F, La Porta F, Petrone V, Battaglia S, Orlandi S, Ippolito G, et al. Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach. Biomedicines. 2022; 10: 1897. https://doi.org/10.3390/biomedicines10081897. |
| [41] |
Borgomaneri S, Battaglia S, Avenanti A, Pellegrino GD. Don’t Hurt Me No More: State-dependent Transcranial Magnetic Stimu-lation for the treatment of specific phobia. Journal of Affective Disorders. 2021; 286: 78–79. https://doi.org/10.1016/j.jad.2021.02.076. |
| [42] |
Khalil R, Godde B, Karim AA. The Link Between Creativity, Cognition, and Creative Drives and Underlying Neural Mechanisms. Frontiers in Neural Circuits. 2019; 13: 18. https://doi.org/10.3389/fncir.2019.00018. |
| [43] |
Borgomaneri S, Battaglia S, Garofalo S, Tortora F, Avenanti A, di Pellegrino G. State-Dependent TMS over Prefrontal Cortex Disrupts Fear-Memory Reconsolidation and Prevents the Return of Fear. Current Biology: CB. 2020; 30: 3672–3679.e4. https://doi.org/10.1016/j.cub.2020.06.091. |
| [44] |
Battaglia S, Garofalo S, di Pellegrino G. Context-dependent extinction of threat memories: influences of healthy aging. Scientific Reports. 2018; 8: 12592. https://doi.org/10.1038/s41598-018-31000-9. |
| [45] |
Albert PR, Vahid-Ansari F, Luckhart C. Serotonin-prefrontal cortical circuitry in anxiety and depression phenotypes: pivotal role of pre- and post-synaptic 5-HT1A receptor expression. Frontiers in Behavioral Neuroscience. 2014; 8: 199. https://doi.org/10.3389/fnbeh.2014.00199. |
| [46] |
Tortora F, Hadipour AL, Battaglia S, Falzone A, Avenanti A, Vicario CM. The Role of Serotonin in Fear Learning and Memory: A Systematic Review of Human Studies. Brain Sciences. 2023; 13: 1197. https://doi.org/10.3390/brainsci13081197. |
| [47] |
Brewerton TD. Toward a unified theory of serotonin dysregulation in eating and related disorders. Psychoneuroendocrinology. 1995; 20: 561–590. https://doi.org/10.1016/0306-4530(95)00001-5. |
| [48] |
Savitz J, Lucki I, Drevets WC. 5-HT(1A) receptor function in major depressive disorder. Progress in Neurobiology. 2009; 88: 17–31. https://doi.org/10.1016/j.pneurobio.2009.01.009. |
| [49] |
Nutt DJ. Neurobiological mechanisms in generalized anxiety disorder. The Journal of Clinical Psychiatry. 2001; 62 Suppl 11: 22–27; discussion 28. |
| [50] |
Steiger H. Eating disorders and the serotonin connection: state, trait and developmental effects. Journal of Psychiatry & Neuroscience: JPN. 2004; 29: 20–29. |
| [51] |
Meltzer HY, Li Z, Kaneda Y, Ichikawa J. Serotonin receptors: their key role in drugs to treat schizophrenia. Progress in Neu-ro-psychopharmacology & Biological Psychiatry. 2003; 27: 1159–1172. https://doi.org/10.1016/j.pnpbp.2003.09.010. |
| [52] |
Kelmendi B, Adams TG, Yarnell S, Southwick S, Abdallah CG, Krystal JH. PTSD: from neurobiology to pharmacological treatments. European Journal of Psychotraumatology. 2016; 7: 31858. https://doi.org/10.3402/ejpt.v7.31858. |
| [53] |
Chu A, Wadhwa R. Selective Serotonin Reuptake Inhibitors. [Updated 2022 May 8]. StatPearls [Internet] Treasure Island (FL): StatPearls Publishing. 2022. |
| [54] |
Alvares GA, Quintana DS, Hickie IB, Guastella AJ. Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis. Journal of Psychiatry & Neuroscience: JPN. 2016; 41: 89–104. https://doi.org/10.1503/jpn.140217. |
| [55] |
Stahl SM, Lee-Zimmerman C, Cartwright S, Morrissette DA. Serotonergic drugs for depression and beyond. Current Drug Targets. 2013; 14: 578–585. https://doi.org/10.2174/1389450111314050007. |
| [56] |
Teleanu RI, Niculescu AG, Roza E, Vladâcenco O, Grumezescu AM, Teleanu DM. Neurotransmitters-Key Factors in Neurological and Neurodegenerative Disorders of the Central Nervous System. International Journal of Molecular Sciences. 2022; 23: 5954. https://doi.org/10.3390/ijms23115954. |
| [57] |
Liu Y, Zhao J, Guo W. Emotional Roles of Mono-Aminergic Neurotransmitters in Major Depressive Disorder and Anxiety Dis-orders. Frontiers in Psychology. 2018; 9: 2201. https://doi.org/10.3389/fpsyg.2018.02201. |
| [58] |
Nutt DJ. The role of dopamine and norepinephrine in depression and antidepressant treatment. The Journal of Clinical Psychiatry. 2006; 67 Suppl 6: 3–8. |
| [59] |
Muneer A. Kynurenine Pathway of Tryptophan Metabolism in Neuropsychiatric Disorders: Pathophysiologic and Therapeutic Considerations. Clinical Psychopharmacology and Neuroscience: the Official Scientific Journal of the Korean College of Neuropsycho-pharmacology. 2020; 18: 507–526. https://doi.org/10.9758/cpn.2020.18.4.507. |
| [60] |
Tanaka M, Szabó Á Vécsei L. Redefining Roles: A Paradigm Shift in Tryptophan–Kynurenine Metabolism for Inno-vative Clinical Applications. International Journal of Molecular Sciences. 2024; 25: 12767. https://doi.org/10.3390/ijms252312767 |
| [61] |
Huang Y, Zhao M, Chen X, Zhang R, Le A, Hong M, et al. Tryptophan Metabolism in Central Nervous System Diseases: Pathophysiology and Potential Therapeutic Strategies. Aging and Disease. 2023; 14: 858–878. https://doi.org/10.14336/AD.2022.0916. |
| [62] |
Polyák H, Galla Z, Nánási N, Cseh EK, Rajda C, Veres G, et al. The Tryptophan-Kynurenine Metabolic System Is Sup-pressed in Cuprizone-Induced Model of Demyelination Simulating Progressive Multiple Sclerosis. Biomedicines. 2023; 11: 945. https://doi.org/10.3390/biomedicines11030945. |
| [63] |
Ye X, Li H, Anjum K, Zhong X, Miao S, Zheng G, et al. Dual Role of Indoles Derived From Intestinal Microbiota on Human Health. Frontiers in Immunology. 2022; 13: 903526. https://doi.org/10.3389/fimmu.2022.903526. |
| [64] |
Li X, Zhang B, Hu Y, Zhao Y. New Insights Into Gut-Bacteria-Derived Indole and Its Derivatives in Intestinal and Liver Diseases. Frontiers in Pharmacology. 2021; 12: 769501. https://doi.org/10.3389/fphar.2021.769501. |
| [65] |
Jones AW. Brief history of the alcohol biomarkers CDT, EtG, EtS, 5-HTOL, and PEth. Drug Testing and Analysis. 2024; 16: 570–587. https://doi.org/10.1002/dta.3584. |
| [66] |
Höglund E, Øverli Ø Winberg S. Tryptophan Metabolic Pathways and Brain Serotonergic Activity: A Comparative Review. Frontiers in Endocrinology. 2019; 10: 158. https://doi.org/10.3389/fendo.2019.00158. |
| [67] |
Jayamohananan H, Manoj Kumar MK, T P A. 5-HIAA as a Potential Biological Marker for Neurological and Psychiatric Disorders. Advanced Pharmaceutical Bulletin. 2019; 9: 374–381. https://doi.org/10.15171/apb.2019.044. |
| [68] |
Hardeland R. Melatonin metabolism in the central nervous system. Current Neuropharmacology. 2010; 8: 168–181. https://doi.org/10.2174/157015910792246244. |
| [69] |
Granado MDJ, Pinato L, Santiago J, Barbalho SM, Parmezzan JEL, Suzuki LM, et al. Melatonin receptors and Per1 expression in the inferior olivary nucleus of the Sapajus apella monkey. Frontiers in Neuroscience. 2022; 16: 1072772. https://doi.org/10.3389/fnins.2022.1072772. |
| [70] |
Ishidoh K, Kamemura N, Imagawa T, Oda M, Sakurai J, Katunuma N. Quinolinate phosphoribosyl transferase, a key enzyme in de novo NAD(+) synthesis, suppresses spontaneous cell death by inhibiting overproduction of active-caspase-3. Biochimica et Biophysica Acta. 2010; 1803: 527–533. https://doi.org/10.1016/j.bbamcr.2010.02.007. |
| [71] |
Raffaelli N, Sorci L, Amici A, Emanuelli M, Mazzola F, Magni G. Identification of a novel human nicotinamide mononucleotide adenylyltransferase. Biochemical and Biophysical Research Communications. 2002; 297: 835–840. https://doi.org/10.1016/s0006-291x(02)02285-4. |
| [72] |
Jauch R, Humm A, Huber R, Wahl MC. Structures of Escherichia coli NAD synthetase with substrates and products reveal mechanistic rearrangements. The Journal of Biological Chemistry. 2005; 280: 15131–15140. https://doi.org/10.1074/jbc.M413195200. |
| [73] |
Tanaka M, Tóth F, Polyák H, Szabó Á Mándi Y, Vécsei L. Immune Influencers in Action: Metabolites and Enzymes of the Tryptophan-Kynurenine Metabolic Pathway. Biomedicines. 2021; 9: 734. https://doi.org/10.3390/biomedicines9070734. |
| [74] |
Tanaka M, Szabó Á Spekker E, Polyák H, Tóth F, Vécsei L. Mitochondrial Impairment: A Common Motif in Neuropsychiatric Presentation? The Link to the Tryptophan-Kynurenine Metabolic System. Cells. 2022; 11: 2607. https://doi.org/10.3390/cells11162607. |
| [75] |
Fila M, Chojnacki J, Pawlowska E, Szczepanska J, Chojnacki C, Blasiak J. Kynurenine Pathway of Tryptophan Metabolism in Migraine and Functional Gastrointestinal Disorders. International Journal of Molecular Sciences. 2021; 22: 10134. https://doi.org/10.3390/ijms221810134. |
| [76] |
Wirthgen E, Hoeflich A, Rebl A, Günther J. Kynurenic Acid: The Janus-Faced Role of an Immunomodulatory Tryptophan Metabolite and Its Link to Pathological Conditions. Frontiers in Immunology. 2018; 8: 1957. https://doi.org/10.3389/fimmu.2017.01957. |
| [77] |
Takahashi H, Price JM. Dehydroxylation of xanthurenic acid to 8-hydroxy-quinaldic acid. The Journal of Biological Chemistry. 1958; 233: 150–153. |
| [78] |
Walczak K, Langner E, Szalast K, Makuch-Kocka A, Pożarowski P, Plech T. A Tryptophan Metabolite, 8-Hydroxyquinaldic Acid, Exerts Antiproliferative and Anti-Migratory Effects on Colorectal Cancer Cells. Molecules (Basel, Switzerland). 2020; 25: 1655. https://doi.org/10.3390/molecules25071655. |
| [79] |
Espi M, Koppe L, Fouque D, Thaunat O. Chronic Kidney Disease-Associated Immune Dysfunctions: Impact of Protein-Bound Uremic Retention Solutes on Immune Cells. Toxins. 2020; 12: 300. https://doi.org/10.3390/toxins12050300. |
| [80] |
Mishra P, Kaur S, Sharma AN, Jolly RS. Characterization of an Indole-3-Acetamide Hydrolase from Alcaligenes faecalis subsp. parafaecalis and Its Application in Efficient Preparation of Both Enantiomers of Chiral Building Block 2,3-Dihydro-1,4-Benzodioxin-2-Carboxylic Acid. PloS One. 2016; 11: e0159009. https://doi.org/10.1371/journal.pone.0159009. |
| [81] |
Mousseau DD. Tryptamine: a metabolite of tryptophan implicated in various neuropsychiatric disorders. Metabolic Brain Disease. 1993; 8: 1–44. https://doi.org/10.1007/BF01000528. |
| [82] |
Brydges CR, Fiehn O, Mayberg HS, Schreiber H, Dehkordi SM, Bhattacharyya S, et al. Indoxyl sulfate, a gut micro-biome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature. Scientific Reports. 2021; 11: 21011. https://doi.org/10.1038/s41598-021-99845-1. |
| [83] |
Hou Y, Li J, Ying S. Tryptophan Metabolism and Gut Microbiota: A Novel Regulatory Axis Integrating the Microbiome, Immunity, and Cancer. Metabolites. 2023; 13: 1166. https://doi.org/10.3390/metabo13111166. |
| [84] |
Hubková B, Valko-Rokytovská M, Čižmárová B, Zábavníková M, Mareková M, Birková A. Tryptophan: Its Metabolism along the Kynurenine, Serotonin, and Indole Pathway in Malignant Melanoma. International Journal of Molecular Sciences. 2022; 23: 9160. https://doi.org/10.3390/ijms23169160. |
| [85] |
Mor A, Tankiewicz-Kwedlo A, Krupa A, Pawlak D. Role of Kynurenine Pathway in Oxidative Stress during Neurodegenerative Disorders. Cells. 2021; 10: 1603. https://doi.org/10.3390/cells10071603. |
| [86] |
Bosi A, Banfi D, Bistoletti M, Giaroni C, Baj A. Tryptophan Metabolites Along the Microbiota-Gut-Brain Axis: An Interkingdom Communication System Influencing the Gut in Health and Disease. International Journal of Tryptophan Research: IJTR. 2020; 13: 1178646920928984. https://doi.org/10.1177/1178646920928984. |
| [87] |
Roth W, Zadeh K, Vekariya R, Ge Y, Mohamadzadeh M. Tryptophan metabolism and gut-brain homeostasis. Inter-national journal of molecular sciences. 2021; 22: 2973. https://doi.org/10.3390/ijms22062973. |
| [88] |
Laurindo LF, Santos ARDOD, Carvalho ACAD, Bechara MD, Guiguer EL, Goulart RDA, et al. Phytochemicals and Regulation of NF-kB in Inflammatory Bowel Diseases: An Overview of In Vitro and In Vivo Effects. Metabolites. 2023; 13: 96. https://doi.org/10.3390/metabo13010096. |
| [89] |
Réus GZ, Jansen K, Titus S, Carvalho AF, Gabbay V, Quevedo J. Kynurenine pathway dysfunction in the pathophysiology and treatment of depression: Evidences from animal and human studies. Journal of Psychiatric Research. 2015; 68: 316–328. https://doi.org/10.1016/j.jpsychires.2015.05.007. |
| [90] |
Gao J, Xu K, Liu H, Liu G, Bai M, Peng C, et al. Impact of the Gut Microbiota on Intestinal Immunity Mediated by Tryptophan Metabolism. Frontiers in Cellular and Infection Microbiology. 2018; 8: 13. https://doi.org/10.3389/fcimb.2018.00013. |
| [91] |
Ranhotra HS. Discrete interplay of gut microbiota L-tryptophan metabolites in host biology and disease. Molecular and Cellular Biochemistry. 2024; 479: 2273–2290. https://doi.org/10.1007/s11010-023-04867-0. |
| [92] |
Hyland NP, Cavanaugh CR, Hornby PJ. Emerging effects of tryptophan pathway metabolites and intestinal microbiota on metabolism and intestinal function. Amino Acids. 2022; 54: 57–70. https://doi.org/10.1007/s00726-022-03123-x. |
| [93] |
Kumar P, Lee JH, Lee J. Diverse roles of microbial indole compounds in eukaryotic systems. Biological Reviews of the Cambridge Philosophical Society. 2021; 96: 2522–2545. https://doi.org/10.1111/brv.12765. |
| [94] |
Su X, Gao Y, Yang R. Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis. Cells. 2022; 11: 2296. https://doi.org/10.3390/cells11152296. |
| [95] |
Gasaly N, de Vos P, Hermoso MA. Impact of Bacterial Metabolites on Gut Barrier Function and Host Immunity: A Focus on Bacterial Metabolism and Its Relevance for Intestinal Inflammation. Frontiers in Immunology. 2021; 12: 658354. https://doi.org/10.3389/fimmu.2021.658354. |
| [96] |
Hubbard TD, Murray IA, Perdew GH. Indole and Tryptophan Metabolism: Endogenous and Dietary Routes to Ah Receptor Activation. Drug Metabolism and Disposition: the Biological Fate of Chemicals. 2015; 43: 1522–1535. https://doi.org/10.1124/dmd.115.064246. |
| [97] |
Fu Y, Lyu J, Wang S. The role of intestinal microbes on intestinal barrier function and host immunity from a metabolite perspective. Frontiers in Immunology. 2023; 14: 1277102. https://doi.org/10.3389/fimmu.2023.1277102. |
| [98] |
Fornari Laurindo L, Aparecido Dias J, Cressoni Araújo A, Torres Pomini K, Machado Galhardi C, Rucco Penteado Detregiachi C, et al. Immunological dimensions of neuroinflammation and microglial activation: exploring innovative immunomodulatory ap-proaches to mitigate neuroinflammatory progression. Frontiers in Immunology. 2024; 14: 1305933. https://doi.org/10.3389/fimmu.2023.1305933. |
| [99] |
Madella AM, Van Bergenhenegouwen J, Garssen J, Masereeuw R, Overbeek SA. Microbial-Derived Tryptophan Catabolites, Kidney Disease and Gut Inflammation. Toxins. 2022; 14: 645. https://doi.org/10.3390/toxins14090645. |
| [100] |
Barbalho SM, Goulart RDA, Araújo AC, Guiguer ÉL, Bechara MD. Irritable bowel syndrome: a review of the general aspects and the potential role of vitamin D. Expert Review of Gastroenterology & Hepatology. 2019; 13: 345–359. https://doi.org/10.1080/17474124.2019.1570137. |
| [101] |
Carpi RZ, Barbalho SM, Sloan KP, Laurindo LF, Gonzaga HF, Grippa PC, et al. The Effects of Probiotics, Prebiotics and Synbiotics in Non-Alcoholic Fat Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH): A Systematic Review. International Journal of Molecular Sciences. 2022; 23: 8805. https://doi.org/10.3390/ijms23158805. |
| [102] |
Marton LT, Goulart RDA, Carvalho ACAD, Barbalho SM. Omega Fatty Acids and Inflammatory Bowel Diseases: An Overview. International Journal of Molecular Sciences. 2019; 20: 4851. https://doi.org/10.3390/ijms20194851. |
| [103] |
Laurindo LF, Direito R, Bueno Otoboni AM, Goulart RA, Quesada K, Barbalho SM. Grape processing waste: effects on in-flammatory bowel disease and colorectal cancer. Food Reviews International. 2024; 40: 336–369. |
| [104] |
Sun LJ, Li JN, Nie YZ. Gut hormones in microbiota-gut-brain cross-talk. Chinese Medical Journal. 2020; 133: 826–833. https://doi.org/10.1097/CM9.0000000000000706. |
| [105] |
Mittal R, Debs LH, Patel AP, Nguyen D, Patel K, O’Connor G, et al. Neurotransmitters: The Critical Modulators Regulating Gut-Brain Axis. Journal of Cellular Physiology. 2017; 232: 2359–2372. https://doi.org/10.1002/jcp.25518. |
| [106] |
Tran SMS, Mohajeri MH. The Role of Gut Bacterial Metabolites in Brain Development, Aging and Disease. Nutrients. 2021; 13: 732. https://doi.org/10.3390/nu13030732. |
| [107] |
Han Y, Wang B, Gao H, He C, Hua R, Liang C, et al. Vagus Nerve and Underlying Impact on the Gut Microbiota-Brain Axis in Behavior and Neurodegenerative Diseases. Journal of Inflammation Research. 2022; 15: 6213–6230. https://doi.org/10.2147/JIR.S384949. |
| [108] |
Gershon MD, Margolis KG. The gut, its microbiome, and the brain: connections and communications. The Journal of Clinical Investigation. 2021; 131: e143768. https://doi.org/10.1172/JCI143768. |
| [109] |
Caspani G, Swann J. Small talk: microbial metabolites involved in the signaling from microbiota to brain. Current Opinion in Pharmacology. 2019; 48: 99–106. https://doi.org/10.1016/j.coph.2019.08.001. |
| [110] |
Zhou Y, Chen Y, He H, Peng M, Zeng M, Sun H. The role of the indoles in microbiota-gut-brain axis and potential therapeutic targets: A focus on human neurological and neuropsychiatric diseases. Neuropharmacology. 2023; 239: 109690. https://doi.org/10.1016/j.neuropharm.2023.109690. |
| [111] |
Caspani G, Kennedy S, Foster JA, Swann J. Gut microbial metabolites in depression: understanding the biochemical mechanisms. Microbial Cell (Graz, Austria). 2019; 6: 454–481. https://doi.org/10.15698/mic2019.10.693. |
| [112] |
Chernikova MA, Flores GD, Kilroy E, Labus JS, Mayer EA, Aziz-Zadeh L. The Brain-Gut-Microbiome System: Pathways and Implications for Autism Spectrum Disorder. Nutrients. 2021; 13: 4497. https://doi.org/10.3390/nu13124497. |
| [113] |
Ju S, Shin Y, Han S, Kwon J, Choi TG, Kang I, et al. The Gut-Brain Axis in Schizophrenia: The Implications of the Gut Microbiome and SCFA Production. Nutrients. 2023; 15: 4391. https://doi.org/10.3390/nu15204391. |
| [114] |
Pappolla MA, Perry G, Fang X, Zagorski M, Sambamurti K, Poeggeler B. Indoles as essential mediators in the gut-brain axis. Their role in Alzheimer’s disease. Neurobiology of Disease. 2021; 156: 105403. https://doi.org/10.1016/j.nbd.2021.105403. |
| [115] |
Direito R, Barbalho SM, Sepodes B, Figueira ME. Plant-Derived Bioactive Compounds: Exploring Neuroprotective, Metabolic, and Hepatoprotective Effects for Health Promotion and Disease Prevention. Pharmaceutics. 2024; 16: 577. https://doi.org/10.3390/pharmaceutics16050577. |
| [116] |
Valotto Neto LJ, Reverete de Araujo M, Moretti Junior RC, Mendes Machado N, Joshi RK, Dos Santos Buglio D, et al. Investigating the Neuroprotective and Cognitive-Enhancing Effects of Bacopa monnieri: A Systematic Review Focused on In-flammation, Oxidative Stress, Mitochondrial Dysfunction, and Apoptosis. Antioxidants (Basel, Switzerland). 2024; 13: 393. https://doi.org/10.3390/antiox13040393. |
| [117] |
Tanaka M, Bohár Z, Martos D, Telegdy G, Vécsei L. Antidepressant-like effects of kynurenic acid in a modified forced swim test. Pharmacological Reports: PR. 2020; 72: 449–455. https://doi.org/10.1007/s43440-020-00067-5. |
| [118] |
Martos D, Tuka B, Tanaka M, Vécsei L, Telegdy G. Memory Enhancement with Kynurenic Acid and Its Mechanisms in Neuro-transmission. Biomedicines. 2022; 10: 849. https://doi.org/10.3390/biomedicines10040849. |
| [119] |
Goh DLM, Patel A, Thomas GH, Salomons GS, Schor DSM, Jakobs C, et al. Characterization of the human gene encoding alpha-aminoadipate aminotransferase (AADAT). Molecular Genetics and Metabolism. 2002; 76: 172–180. https://doi.org/10.1016/s1096-7192(02)00037-9. |
| [120] |
Modoux M, Rolhion N, Mani S, Sokol H. Tryptophan Metabolism as a Pharmacological Target. Trends in Pharmacological Sciences. 2021; 42: 60–73. https://doi.org/10.1016/j.tips.2020.11.006. |
| [121] |
Machado‐Vieira R, Zarate Jr CA. Proof of concept trials in bipolar disorder and major depressive disorder: a transla-tional per-spective in the search for improved treatments. Depression and anxiety. 2011; 28: 267–281.https://doi.org/10.1002/da.20800. |
| [122] |
Tanaka M, Telegdy G. Involvement of adrenergic and serotonergic receptors in antidepressant-like effect of urocortin 3 in a modified forced swimming test in mice. Brain Research Bulletin. 2008; 77: 301–305. https://doi.org/10.1016/j.brainresbull.2008.08.012. |
| [123] |
Tanaka M, Schally AV, Telegdy G. Neurotransmission of the antidepressant-like effects of the growth hormone-releasing hormone antagonist MZ-4-71. Behavioural Brain Research. 2012; 228: 388–391. https://doi.org/10.1016/j.bbr.2011.12.022. |
| [124] |
Kaiser T, Feng G. Modeling psychiatric disorders for developing effective treatments. Nature medicine. 2015; 21: 979–988. https://doi.org/10.1038/nm.3935. |
| [125] |
Zucker NL, Strauss GP, Smyth JM, Scherf KS, Brotman MA, Boyd RC, et al. Experimental therapeutics: Opportunities and challenges stemming from the national institute of mental health workshop on novel target discovery and psychosocial intervention devel-opment. Perspectives on Psy-chological Science. 2023; 24: 17456916231197980. https://doi.org/10.1177/17456916231197980. |
| [126] |
Rákosi K, Masaru T, Zarándia M, Telegdy G, Tóth GK. Short analogs and mimetics of human urocortin 3 display antidepressant effects in vivo. Peptides. 2014; 62: 59–66. https://doi.org/10.1016/j.peptides.2014.09.023. |
| [127] |
Tanaka M, Vécsei L. Editorial of Special Issue ’Dissecting Neurological and Neuropsychiatric Diseases: Neurodegeneration and Neuroprotection’. International Journal of Molecular Sciences. 2022; 23: 6991. https://doi.org/10.3390/ijms23136991. |
| [128] |
Uliana DL, Zhu X, Gomes FV, Grace AA. Using animal models for the studies of schizophrenia and depression: The value of translational models for treatment and prevention. Frontiers in Behavioral Neuroscience. 2022; 16: 935320. https://doi.org/10.3389/fnbeh.2022.935320. |
| [129] |
Tanaka M, Szabó Á Vécsei L. Integrating Armchair, Bench, and Bedside Research for Behavioral Neurology and Neuropsychiatry: Editorial. Biomedicines. 2022; 10: 2999. https://doi.org/10.3390/biomedicines10122999. |
| [130] |
Tanaka M, Kádár K, Tóth G, Telegdy G. Antidepressant-like effects of urocortin 3 fragments. Brain Research Bulletin. 2011; 84: 414–418. https://doi.org/10.1016/j.brainresbull.2011.01.016. |
| [131] |
Telegdy G, Adamik A, Tanaka M, Schally AV. Effects of the LHRH antagonist Cetrorelix on affective and cognitive functions in rats. Regulatory Peptides. 2010; 159: 142–147. https://doi.org/10.1016/j.regpep.2009.08.005. |
| [132] |
Milton AL. Editorial introduction: animal models relevant to mental health disorders. Emerging Topics in Life Sci-ences. 2022; 6: 441–443. https://doi.org/10.1042/ETLS20220094. |
| [133] |
Song J, Kim YK. Animal models for the study of depressive disorder. CNS neuroscience & therapeutics. 2021; 27: 633–642. https://doi.org/10.1111/cns.13622. |
| [134] |
Bale TL, Abel T, Akil H, Carlezon Jr WA, Moghaddam B, Nestler EJ, Ressler KJ, Thompson SM. The critical im-portance of basic animal research for neuropsychiatric disorders. Neuropsychopharmacology. 2019; 44: 1349–1353. https://doi.org/10.1038/s41386-019-0405-9. |
| [135] |
Bueno CRDS, Tonin MCC, Buchaim DV, Barraviera B, Ferreira Junior RS, Santos PSDS, et al. Morphofunctional Improvement of the Facial Nerve and Muscles with Repair Using Heterologous Fibrin Biopolymer and Photobiomodulation. Pharmaceuticals (Basel, Switzerland). 2023; 16: 653. https://doi.org/10.3390/ph16050653. |
| [136] |
Białoń M, Wąsik A. Advantages and limitations of animal schizophrenia models. International Journal of Molecular Sciences. 2022; 23: 5968. https://doi.org/10.3390/ijms23115968. |
| [137] |
Tanaka M, Szabó Á Vécsei L, Giménez-Llort L. Emerging Translational Research in Neurological and Psychiatric Diseases: From In Vitro to In Vivo Models. International Journal of Molecular Sciences. 2023; 24: 15739. https://doi.org/10.3390/ijms242115739. |
| [138] |
Datki Z, Sinka R. Translational biomedicine-oriented exploratory research on bioactive rotifer-specific biopolymers. Advances in Clinical and Experimental Medicine: Official Organ Wroclaw Medical University. 2022; 31: 931–935. https://doi.org/10.17219/acem/152430. |
| [139] |
Villanueva R. Advances in the knowledge and therapeutics of schizophrenia, major depression disorder, and bipolar disorder from human brain organoid research. Frontiers in Psychiatry. 2023; 14: 1178494. https://doi.org/10.3389/fpsyt.2023.1178494. |
| [140] |
Chen B, Hasan MM, Zhang H, Zhai Q, Waliullah ASM, Ping Y, et al. UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib. Biomedicines. 2023; 11: 1685. https://doi.org/10.3390/biomedicines11061685. |
| [141] |
Song A, Cho GW, Vijayakumar KA, Moon C, Ang MJ, Kim J, et al. Neuroprotective Effect of Valproic Acid on Salic-ylate-Induced Tinnitus. International Journal of Molecular Sciences. 2021; 23: 23. https://doi.org/10.3390/ijms23010023. |
| [142] |
Ibos KE, Bodnár É Bagosi Z, Bozsó Z, Tóth G, Szabó G, et al. Kisspeptin-8 Induces Anxiety-Like Behavior and Hy-polocomotion by Activating the HPA Axis and Increasing GABA Release in the Nucleus Accumbens in Rats. Biomedicines. 2021; 9: 112. https://doi.org/10.3390/biomedicines9020112. |
| [143] |
Puri S, Kenyon BM, Hamrah P. Immunomodulatory Role of Neuropeptides in the Cornea. Biomedicines. 2022; 10: 1985. https://doi.org/10.3390/biomedicines10081985. |
| [144] |
Mirchandani-Duque M, Barbancho MA, López-Salas A, Alvarez-Contino JE, García-Casares N, Fuxe K, et al. Galanin and Neuropeptide Y Interaction Enhances Proliferation of Granule Precursor Cells and Expression of Neuroprotective Factors in the Rat Hip-pocampus with Consequent Augmented Spatial Memory. Biomedicines. 2022; 10: 1297. https://doi.org/10.3390/biomedicines10061297. |
| [145] |
Taschereau-Dumouchel V, Michel M, Lau H, Hofmann SG, LeDoux JE. Putting the “mental” back in “mental disorders”: a perspective from research on fear and anxiety. Molecular Psychiatry. 2022; 27: 1322–1330. https://doi.org/10.1038/s41380-021-01395-5. |
| [146] |
Li J, Li C, Subedi P, Tian X, Lu X, Miriyala S, et al. Light Alcohol Consumption Promotes Early Neurogenesis Following Ischemic Stroke in Adult C57BL/6J Mice. Biomedicines. 2023; 11: 1074. https://doi.org/10.3390/biomedicines11041074. |
| [147] |
Petković A, Chaudhury D. Encore: Behavioural animal models of stress, depression and mood disorders. Frontiers in Behavioral Neuroscience. 2022; 16: 931964. https://doi.org/10.3389/fnbeh.2022.931964. |
| [148] |
Bahor Z, Nunes-Fonseca C, Thomson LDG, Sena ES, Macleod MR. Improving our understanding of the in vivo modelling of psychotic disorders: A protocol for a systematic review and meta-analysis. Evidence-based Preclinical Medicine. 2016; 3: e00022. https://doi.org/10.1002/ebm2.22. |
| [149] |
Tanaka M, Spekker E, Szabó Á Polyák H, Vécsei L. Modelling the neurodevelopmental pathogenesis in neuropsychiatric disorders. Bioactive kynurenines and their analogues as neuroprotective agents-in celebration of 80th birthday of Professor Peter Riederer. Journal of Neural Transmission (Vienna, Austria: 1996). 2022; 129: 627–642. https://doi.org/10.1007/s00702-022-02513-5. |
| [150] |
Sobolewska-Nowak J, Wachowska K, Nowak A, Orzechowska A, Szulc A, Płaza O, et al. Exploring the Heart-Mind Connection: Unraveling the Shared Pathways between Depression and Cardiovascular Diseases. Biomedicines. 2023; 11: 1903. https://doi.org/10.3390/biomedicines11071903. |
| [151] |
Tug E, Fidan I, Bozdayi G, Yildirim F, Tunccan OG, Lale Z, et al. The relationship between the clinical course of SARS-CoV-2 infections and ACE2 and TMPRSS2 expression and polymorphisms. Advances in Clinical and Experimental Medicine: Official Organ Wroclaw Medical University. 2024; 33: 39–51. https://doi.org/10.17219/acem/163409. |
| [152] |
Fan P, Miranda O, Qi X, Kofler J, Sweet RA, Wang L. Unveiling the Enigma: Exploring Risk Factors and Mechanisms for Psychotic Symptoms in Alzheimer’s Disease through Electronic Medical Records with Deep Learning Models. Pharmaceuticals (Basel, Switzerland). 2023; 16: 911. https://doi.org/10.3390/ph16070911. |
| [153] |
Festa F, Medori S, Macrì M. Move Your Body, Boost Your Brain: The Positive Impact of Physical Activity on Cognition across All Age Groups. Biomedicines. 2023; 11: 1765. https://doi.org/10.3390/biomedicines11061765. |
| [154] |
Alhaddad A, Radwan A, Mohamed NA, Mehanna ET, Mostafa YM, El-Sayed NM, et al. Rosiglitazone Mitigates Dexamethasone-Induced Depression in Mice via Modulating Brain Glucose Metabolism and AMPK/mTOR Signaling Pathway. Biomedi-cines. 2023; 11: 860. https://doi.org/10.3390/biomedicines11030860. |
| [155] |
Statsenko Y, Habuza T, Smetanina D, Simiyu GL, Meribout S, King FC, et al. Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing. Biomedicines. 2023; 11: 1999. https://doi.org/10.3390/biomedicines11071999. |
| [156] |
Dang J, Tao Q, Niu X, Zhang M, Gao X, Yang Z, et al. Meta-Analysis of Structural and Functional Brain Abnormalities in Cocaine Addiction. Frontiers in Psychiatry. 2022; 13: 927075. https://doi.org/10.3389/fpsyt.2022.927075. |
| [157] |
Okanda Nyatega C, Qiang L, Jajere Adamu M, Bello Kawuwa H. Altered striatal functional connectivity and structural dyscon-nectivity in individuals with bipolar disorder: A resting state magnetic resonance imaging study. Frontiers in Psychiatry. 2022; 13: 1054380. https://doi.org/10.3389/fpsyt.2022.1054380. |
| [158] |
Du H, Yang B, Wang H, Zeng Y, Xin J, Li X. The non-linear correlation between the volume of cerebral white matter lesions and incidence of bipolar disorder: A secondary analysis of data from a cross-sectional study. Frontiers in Psychiatry. 2023; 14: 1149663. https://doi.org/10.3389/fpsyt.2023.1149663. |
| [159] |
Chen Y, Yu R, DeSouza JFX, Shen Y, Zhang H, Zhu C, et al. Differential responses from the left postcentral gyrus, right middle frontal gyrus, and precuneus to meal ingestion in patients with functional dyspepsia. Frontiers in Psychiatry. 2023; 14: 1184797. https://doi.org/10.3389/fpsyt.2023.1184797. |
| [160] |
Adamu MJ, Qiang L, Nyatega CO, Younis A, Kawuwa HB, Jabire AH, et al. Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies. Frontiers in Psychiatry. 2023; 14: 1188603. https://doi.org/10.3389/fpsyt.2023.1188603. |
| [161] |
Chang CH, Wang WL, Shieh YH, Peng HY, Ho CS, Tsai HC. Case Report: Low-Frequency Repetitive Transcranial Magnetic Stimulation to Dorsolateral Prefrontal Cortex and Auditory Cortex in a Patient With Tinnitus and Depression. Frontiers in Psychiatry. 2022; 13: 847618. https://doi.org/10.3389/fpsyt.2022.847618. |
| [162] |
Zakia H, Iskandar S. Case report: Depressive disorder with peripartum onset camouflages suspected intracranial tuberculoma. Frontiers in Psychiatry. 2022; 13: 932635. https://doi.org/10.3389/fpsyt.2022.932635. |
| [163] |
Nyatega CO, Qiang L, Adamu MJ, Kawuwa HB. Gray matter, white matter and cerebrospinal fluid abnormalities in Parkinson’s disease: A voxel-based morphometry study. Frontiers in Psychiatry. 2022; 13: 1027907. https://doi.org/10.3389/fpsyt.2022.1027907. |
| [164] |
Rymaszewska J, Wieczorek T, Fila-Witecka K, Smarzewska K, Weiser A, Piotrowski P, et al. Various neuromodulation methods including Deep Brain Stimulation of the medial forebrain bundle combined with psychopharmacotherapy of treatment-resistant depression-Case report. Frontiers in Psychiatry. 2023; 13: 1068054. https://doi.org/10.3389/fpsyt.2022.1068054. |
| [165] |
Kim BH, Kim SH, Han C, Jeong HG, Lee MS, Kim J. Antidepressant-induced mania in panic disorder: a single-case study of clinical and functional connectivity characteristics. Frontiers in Psychiatry. 2023; 14: 1205126. https://doi.org/10.3389/fpsyt.2023.1205126. |
| [166] |
Zhou J, Cao Y, Deng G, Fang J, Qiu C. Transient splenial lesion syndrome in bipolar-II disorder: a case report highlighting reversible brain changes during hypomanic episodes. Frontiers in Psychiatry. 2023; 14: 1219592. https://doi.org/10.3389/fpsyt.2023.1219592. |
| [167] |
Veldema J. Non-Invasive Brain Stimulation and Sex/Polypeptide Hormones in Reciprocal Interactions: A Systematic Review. Biomedicines. 2023; 11: 1981. https://doi.org/10.3390/biomedicines11071981. |
| [168] |
Manuello J, Costa T, Cauda F, Liloia D. Six actions to improve detection of critical features for neuroimaging coordinate-based meta-analysis preparation. Neuroscience and Biobehavioral Reviews. 2022; 137: 104659. https://doi.org/10.1016/j.neubiorev.2022.104659. |
| [169] |
Nani A, Manuello J, Mancuso L, Liloia D, Costa T, Vercelli A, et al. The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting. NeuroImage. 2021; 225: 117481. https://doi.org/10.1016/j.neuroimage.2020.117481. |
| [170] |
Liloia D, Crocetta A, Cauda F, Duca S, Costa T, Manuello J. Seeking Overlapping Neuroanatomical Alterations between Dyslexia and Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Replication Study. Brain Sciences. 2022; 12: 1367. https://doi.org/10.3390/brainsci12101367. |
| [171] |
Liloia D, Cauda F, Uddin LQ, Manuello J, Mancuso L, Keller R, et al. Revealing the Selectivity of Neuroanatomical Alteration in Autism Spectrum Disorder via Reverse Inference. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. 2023; 8: 1075–1083. https://doi.org/10.1016/j.bpsc.2022.01.007. |
| [172] |
Tanaka M, Chen C. Editorial: Towards a mechanistic understanding of depression, anxiety, and their comorbidity: perspectives from cognitive neuroscience. Frontiers in Behavioral Neuroscience. 2023; 17: 1268156. https://doi.org/10.3389/fnbeh.2023.1268156. |
| [173] |
Battaglia S, Schmidt A, Hassel S, Tanaka M. Editorial: Case reports in neuroimaging and stimulation. Frontiers in Psychiatry. 2023; 14: 1264669. https://doi.org/10.3389/fpsyt.2023.1264669. |
| [174] |
Cauda F, Nani A, Liloia D, Manuello J, Premi E, Duca S, et al. Finding specificity in structural brain alterations through Bayesian reverse inference. Human Brain Mapping. 2020; 41: 4155–4172. https://doi.org/10.1002/hbm.25105. |
| [175] |
Liloia D, Zamfira DA, Tanaka M, Manuello J, Crocetta A, Keller R, et al. Disentangling the role of gray matter volume and concentration in autism spectrum disorder: A meta-analytic investigation of 25 years of voxel-based morphometry research. Neuroscience and Biobehavioral Reviews. 2024; 164: 105791. https://doi.org/10.1016/j.neubiorev.2024.105791. |
| [176] |
Balogh L, Tanaka M, Török N, Vécsei L, Taguchi S. Crosstalk between Existential Phenomenological Psychotherapy and Neu-rological Sciences in Mood and Anxiety Disorders. Biomedicines. 2021; 9: 340. https://doi.org/10.3390/biomedicines9040340. |
| [177] |
Di Gregorio F, Battaglia S. Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease. Advances in Clinical and Experimental Medicine: Official Organ Wroclaw Medical University. 2023; 32: 607–612. https://doi.org/10.17219/acem/166476. |
| [178] |
Hakamata Y, Hori H, Mizukami S, Izawa S, Yoshida F, Moriguchi Y, et al. Blunted diurnal interleukin-6 rhythm is associated with amygdala emotional hyporeactivity and depression: a modulating role of gene-stressor interactions. Frontiers in Psychiatry. 2023; 14: 1196235. https://doi.org/10.3389/fpsyt.2023.1196235. |
| [179] |
Rassler B, Blinowska K, Kaminski M, Pfurtscheller G. Analysis of Respiratory Sinus Arrhythmia and Directed Information Flow between Brain and Body Indicate Different Management Strategies of fMRI-Related Anxiety. Biomedicines. 2023; 11: 1028. https://doi.org/10.3390/biomedicines11041028. |
| [180] |
Vasiliu O. Efficacy, Tolerability, and Safety of Toludesvenlafaxine for the Treatment of Major Depressive Disorder-A Narrative Review. Pharmaceuticals (Basel, Switzerland). 2023; 16: 411. https://doi.org/10.3390/ph16030411. |
| [181] |
Tanaka M, Szabó Á Körtési T, Szok D, Tajti J, Vécsei L. From CGRP to PACAP, VIP, and Beyond: Unraveling the Next Chapters in Migraine Treatment. Cells. 2023; 12: 2649. https://doi.org/10.3390/cells12222649. |
| [182] |
Battaglia S, Avenanti A, Vécsei L, Tanaka M. Neurodegeneration in Cognitive Impairment and Mood Disorders for Experimental, Clinical and Translational Neuropsychiatry. Biomedicines. 2024; 12: 574. https://doi.org/10.3390/biomedicines12030574. |
| [183] |
Naito Y, Hino K, Bono H, Ui-Tei K. CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites. Bioinformatics. 2015; 31: 1120–1123. https://doi.org/10.1093/bioinformatics/btu743. |
| [184] |
Kawai S, Takagi Y, Kaneko S, Kurosawa T. Effect of three types of mixed anesthetic agents alternate to ketamine in mice. Ex-perimental Animal. 2011; 60: 481–487. https://doi: 10.1538/expanim.60.481. |
| [185] |
Masuya H, Inoue M, Wada Y, Shimizu A, Nagano J, Kawai A, et al. Implementation of the modified-SHIRPA protocol for screening of dominant phenotypes in a large-scale ENU mutagenesis program. Mammalian Genome: Official Journal of the International Mammalian Genome Society. 2005; 16: 829–837. https://doi.org/10.1007/s00335-005-2430-8. |
| [186] |
Mandillo S, Tucci V, Hölter SM, Meziane H, Banchaabouchi MA, Kallnik M, et al. Reliability, robustness, and repro-ducibility in mouse behavioral phenotyping: a cross-laboratory study. Physiological Genomics. 2008; 34: 243–255. https://doi.org/10.1152/physiolgenomics.90207.2008. |
| [187] |
Detke MJ, Rickels M, Lucki I. Active behaviors in the rat forced swimming test differentially produced by serotonergic and noradrenergic antidepressants. Psychopharmacology. 1995; 121: 66–72. https://doi.org/10.1007/BF02245592. |
| [188] |
Khisti RT, Chopde CT, Jain SP. Antidepressant-like effect of the neurosteroid 3alpha-hydroxy-5alpha-pregnan-20-one in mice forced swim test. Pharmacology, Biochemistry, and Behavior. 2000; 67: 137–143. https://doi.org/10.1016/s0091-3057(00)00300-2. |
| [189] |
Steru L, Chermat R, Thierry B, Simon P. The tail suspension test: a new method for screening antidepressants in mice. Psycho-pharmacology. 1985; 85: 367–370. https://doi.org/10.1007/BF00428203. |
| [190] |
Cryan JF, Mombereau C, Vassout A. The tail suspension test as a model for assessing antidepressant activity: review of phar-macological and genetic studies in mice. Neuroscience and Biobehavioral Reviews. 2005; 29: 571–625. https://doi.org/10.1016/j.neubiorev.2005.03.009. |
| [191] |
Lister RG. The use of a plus-maze to measure anxiety in the mouse. Psychopharmacology. 1987; 92: 180–185. https://doi.org/10.1007/BF00177912. |
| [192] |
Pellow S, Chopin P, File SE, Briley M. Validation of open:closed arm entries in an elevated plus-maze as a measure of anxiety in the rat. Journal of Neuroscience Methods. 1985; 14: 149–167. https://doi.org/10.1016/0165-0270(85)90031-7. |
| [193] |
Costall B, Coughlan J, Horovitz ZP, Kelly ME, Naylor RJ, Tomkins DM. The effects of ACE inhibitors captopril and SQ29,852 in rodent tests of cognition. Pharmacology, Biochemistry, and Behavior. 1989; 33: 573–579. https://doi.org/10.1016/0091-3057(89)90390-0. |
| [194] |
Onaivi ES, Martin BR. Neuropharmacological and physiological validation of a computer-controlled two-compartment black and white box for the assessment of anxiety. Progress in Neuro-psychopharmacology & Biological Psychiatry. 1989; 13: 963–976. https://doi.org/10.1016/0278-5846(89)90047-x. |
| [195] |
van der Poel AM. Ethological study of the behaviour of the albino rat in a passive-avoidance test. Acta Physiologica et Pharma-cologica Neerlandica. 1967; 14: 503–505. |
| [196] |
Stanford SC. The Open Field Test: reinventing the wheel. Journal of Psychopharmacology (Oxford, England). 2007; 21: 134–135. https://doi.org/10.1177/0269881107073199. |
| [197] |
Walsh RN, Cummins RA. The Open-Field Test: a critical review. Psychological Bulletin. 1976; 83: 482–504. |
| [198] |
Galla Z, Rajda C, Rácz G, Grecsó N, Baráth Á Vécsei L, et al. Simultaneous determination of 30 neurologically and metabolically important molecules: A sensitive and selective way to measure tyrosine and tryptophan pathway metabolites and other bi-omarkers in human serum and cerebrospinal fluid. Journal of Chromatography. a. 2021; 1635: 461775. https://doi.org/10.1016/j.chroma.2020.461775. |
| [199] |
Galla Z, Rácz G, Grecsó N, Baráth Á Kósa M, Bereczki C, et al. Improved LC-MS/MS method for the determination of 42 neurologically and metabolically important molecules in urine. Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences. 2021; 1179: 122846. https://doi.org/10.1016/j.jchromb.2021.122846. |
| [200] |
Kabadayi Sahin E, Caykoylu A, Senat A, Erel O. A comprehensive study of oxidative stress in patients with somatic symptom disorder. Acta Neuropsychiatrica. 2019; 31: 100–105. https://doi.org/10.1017/neu.2018.33. |
| [201] |
Polat N, Beyaztas H, Aktas S, Maden O, Metin Guler E. Comparison of oxidative stress parameters, thiol-disulfide homeostasis, and pro-inflammatory cytokines levels in patients with bipolar disorder and their first-degree relatives. Journal of Psychiatric Research. 2023; 162: 103–112. https://doi.org/10.1016/j.jpsychires.2023.05.022. |
| [202] |
Juchnowicz D, Dzikowski M, Rog J, Waszkiewicz N, Zalewska A, Maciejczyk M, et al. Oxidative Stress Biomarkers as a Predictor of Stage Illness and Clinical Course of Schizophrenia. Frontiers in Psychiatry. 2021; 12: 728986. https://doi.org/10.3389/fpsyt.2021.728986. |
| [203] |
Savitz J, Drevets WC, Smith CM, Victor TA, Wurfel BE, Bellgowan PSF, et al. Putative neuroprotective and neurotoxic kynurenine pathway metabolites are associated with hippocampal and amygdalar volumes in subjects with major depressive disorder. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology. 2015; 40: 463–471. https://doi.org/10.1038/npp.2014.194. |
| [204] |
Barone P. The ‘Yin’ and the ‘Yang’ of the kynurenine pathway: excitotoxicity and neuroprotection imbalance in stress-induced disorders. Behavioural Pharmacology. 2019; 30: 163–186. https://doi.org/10.1097/FBP.0000000000000477. |
| [205] |
Globus MY, Ginsberg MD, Busto R. Excitotoxic index–a biochemical marker of selective vulnerability. Neuroscience Letters. 1991; 127: 39–42. https://doi.org/10.1016/0304-3940(91)90889-2. |
| [206] |
Schwarz MJ, Ackenheil M. The role of substance P in depression: therapeutic implications. Dialogues in Clinical Neuroscience. 2002; 4: 21–29. https://doi.org/10.31887/DCNS.2002.4.1/mschwarz. |
| [207] |
Tanaka M, Török N, Vécsei L. Are 5-HT1 receptor agonists effective anti-migraine drugs? Expert Opinion on Pharma-cotherapy. 2021; 22: 1221–1225. https://doi.org/10.1080/14656566.2021.1910235. |
| [208] |
Kindler J, Lim CK, Weickert CS, Boerrigter D, Galletly C, Liu D, et al. Dysregulation of kynurenine metabolism is related to proinflammatory cytokines, attention, and prefrontal cortex volume in schizophrenia. Molecular Psychiatry. 2020; 25: 2860–2872. https://doi.org/10.1038/s41380-019-0401-9. |
| [209] |
van Praag HM, Kahn RS, Asnis GM, Wetzler S, Brown SL, Bleich A, et al. Denosologization of biological psychiatry or the specificity of 5-HT disturbances in psychiatric disorders. Journal of Affective Disorders. 1987; 13: 1–8. https://doi.org/10.1016/0165-0327(87)90067-x. |
| [210] |
Tanaka M, Tuka B, Vécsei L. Navigating the Neurobiology of Migraine: From Pathways to Potential Therapies. Cells. 2024; 13: 1098. https://doi.org/10.3390/cells13131098. |
| [211] |
Li D, Yu S, Long Y, Shi A, Deng J, Ma Y, et al. Tryptophan metabolism: Mechanism-oriented therapy for neurological and psychiatric disorders. Frontiers in Immunology. 2022; 13: 985378. https://doi.org/10.3389/fimmu.2022.985378. |
| [212] |
Miura H, Ozaki N, Sawada M, Isobe K, Ohta T, Nagatsu T. A link between stress and depression: shifts in the balance between the kynurenine and serotonin pathways of tryptophan metabolism and the etiology and pathophysiology of depression. Stress (Amsterdam, Netherlands). 2008; 11: 198–209. https://doi.org/10.1080/10253890701754068. |
| [213] |
Correia AS, Vale N. Tryptophan Metabolism in Depression: A Narrative Review with a Focus on Serotonin and Kynurenine Pathways. International Journal of Molecular Sciences. 2022; 23: 8493. https://doi.org/10.3390/ijms23158493. |
| [214] |
Han Q, Cai T, Tagle DA, Li J. Structure, expression, and function of kynurenine aminotransferases in human and rodent brains. Cellular and Molecular Life Sciences: CMLS. 2010; 67: 353–368. https://doi.org/10.1007/s00018-009-0166-4. |
| [215] |
Okada K, Angkawidjaja C, Koga Y, Kanaya S. Structural and mechanistic insights into the kynurenine aminotransferase-mediated excretion of kynurenic acid. Journal of Structural Biology. 2014; 185: 257–266. https://doi.org/10.1016/j.jsb.2014.01.009. |
| [216] |
Kucukkarapinar M, Yay-Pence A, Yildiz Y, Buyukkoruk M, Yaz-Aydin G, Deveci-Bulut TS, et al. Psychological out-comes of COVID-19 survivors at sixth months after diagnose: the role of kynurenine pathway metabolites in depression, anxiety, and stress. Journal of Neural Transmission (Vienna, Austria: 1996). 2022; 129: 1077–1089. https://doi.org/10.1007/s00702-022-02525-1. |
| [217] |
Ford JD, Courtois CA. Complex PTSD and borderline personality disorder. Borderline Personality Disorder and Emotion Dysregulation. 2021; 8: 16. https://doi.org/10.1186/s40479-021-00155-9. |
| [218] |
Lanius RA, Vermetten E, Loewenstein RJ, Brand B, Schmahl C, Bremner JD, et al. Emotion modulation in PTSD: Clinical and neurobiological evidence for a dissociative subtype. American journal of psychiatry. 2010; 167: 640–647. https://doi.org/10.1176/appi.ajp.2009.09081168. |
| [219] |
Powers A, Cross D, Fani N, Bradley B. PTSD, emotion dysregulation, and dissociative symptoms in a highly traumatized sample. Journal of psychiatric research. 2015; 61: 174–179. https://doi.org/10.1016/j.jpsychires.2014.12.011. |
| [220] |
Ehrlich I, Humeau Y, Grenier F, Ciocchi S, Herry C, Lüthi A. Amygdala inhibitory circuits and the control of fear memory. Neuron. 2009; 62: 757–771. https://doi.org/10.1016/j.neuron.2009.05.026. |
| [221] |
Hartley CA, Phelps EA. Changing fear: the neurocircuitry of emotion regulation. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology. 2010; 35: 136–146. https://doi.org/10.1038/npp.2009.121. |
| [222] |
Cowansage KK, Shuman T, Dillingham BC, Chang A, Golshani P, Mayford M. Direct reactivation of a coherent neocortical memory of context. Neuron. 2014; 84: 432–441. https://doi.org/10.1016/j.neuron.2014.09.022. |
| [223] |
Barsy B, Kocsis K, Magyar A, Babiczky Á Szabó M, Veres JM, et al. Associative and plastic thalamic signaling to the lateral amygdala controls fear behavior. Nature Neuroscience. 2020; 23: 625–637. https://doi.org/10.1038/s41593-020-0620-z. |
| [224] |
Tsigos C, Chrousos GP. Hypothalamic-pituitary-adrenal axis, neuroendocrine factors and stress. Journal of Psychosomatic Research. 2002; 53: 865–871. https://doi.org/10.1016/s0022-3999(02)00429-4. |
| [225] |
Rodrigues SM, LeDoux JE, Sapolsky RM. The influence of stress hormones on fear circuitry. Annual Review of Neuroscience. 2009; 32: 289–313. https://doi.org/10.1146/annurev.neuro.051508.135620. |
| [226] |
Battaglia S, Di Fazio C, Mazzà M, Tamietto M, Avenanti A. Targeting Human Glucocorticoid Receptors in Fear Learning: A Multiscale Integrated Approach to Study Functional Connectivity. International Journal of Molecular Sciences. 2024; 25: 864. https://doi.org/10.3390/ijms25020864. |
| [227] |
Jászberényi M, Thurzó B, Bagosi Z, Vécsei L, Tanaka M. The Orexin/Hypocretin System, the Peptidergic Regulator of Vigilance, Orchestrates Adaptation to Stress. Biomedicines. 2024; 12: 448. https://doi.org/10.3390/biomedicines12020448. |
| [228] |
Spielberg JM, Stewart JL, Levin RL, Miller GA, Heller W. Prefrontal Cortex, Emotion, and Approach/Withdrawal Motivation. Social and Personality Psychology Compass. 2008; 2: 135–153. https://doi.org/10.1111/j.1751-9004.2007.00064.x. |
| [229] |
Frankland PW, Josselyn SA, Köhler S. The neurobiological foundation of memory retrieval. Nature Neuroscience. 2019; 22: 1576–1585. https://doi.org/10.1038/s41593-019-0493-1. |
| [230] |
Grace AA. Dysregulation of the dopamine system in the pathophysiology of schizophrenia and depression. Nature Reviews. Neuroscience. 2016; 17: 524–532. https://doi.org/10.1038/nrn.2016.57. |
| [231] |
Westerhof GJ, Bohlmeijer ET, McAdams DP. The Relation of Ego Integrity and Despair to Personality Traits and Mental Health. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences. 2017; 72: 400–407. https://doi.org/10.1093/geronb/gbv062. |
| [232] |
Jing L, Duan TT, Tian M, Yuan Q, Tan JW, Zhu YY, et al. Despair-associated memory requires a slow-onset CA1 long-term potentiation with unique underlying mechanisms. Scientific Reports. 2015; 5: 15000. https://doi.org/10.1038/srep15000. |
| [233] |
van der Kolk BA. The body keeps the score: memory and the evolving psychobiology of posttraumatic stress. Harvard Review of Psychiatry. 1994; 1: 253–265. https://doi.org/10.3109/10673229409017088. |
| [234] |
van Meerkerk-Aanen PJ, de Vroege L, Khasho D, Foruz A, van Asseldonk JT, van der Feltz-Cornelis CM. La belle indifférence revisited: a case report on progressive supranuclear palsy misdiagnosed as conversion disorder. Neuropsychiatric Disease and Treatment. 2017; 13: 2057–2067. https://doi.org/10.2147/NDT.S130475. |
| [235] |
Reid S, Barbui C. Long term treatment of depression with selective serotonin reuptake inhibitors and newer antidepressants. BMJ (Clinical Research Ed.). 2010; 340: c1468. https://doi.org/10.1136/bmj.c1468. |
| [236] |
Raison S, Weissmann D, Rousset C, Pujol JF, Descarries L. Changes in steady-state levels of tryptophan hydroxylase protein in adult rat brain after neonatal 6-hydroxydopamine lesion. Neuroscience. 1995; 67: 463–475. https://doi.org/10.1016/0306-4522(95)00064-p. |
| [237] |
Jacobsen JPR, Medvedev IO, Caron MG. The 5-HT deficiency theory of depression: perspectives from a naturalistic 5-HT deficiency model, the tryptophan hydroxylase 2Arg439His knockin mouse. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 2012; 367: 2444–2459. https://doi.org/10.1098/rstb.2012.0109. |
| [238] |
Xu CJ, Wang JL, Jing-Pan, Min-Liao. Tph2 Genetic Ablation Contributes to Senile Plaque Load and Astrogliosis in APP/PS1 Mice. Current Alzheimer Research. 2019; 16: 219–232. https://doi.org/10.2174/1567205016666190301110110. |
| [239] |
Angoa-Pérez M, Kane MJ, Briggs DI, Herrera-Mundo N, Sykes CE, Francescutti DM, et al. Mice genetically depleted of brain serotonin do not display a depression-like behavioral phenotype. ACS Chemical Neuroscience. 2014; 5: 908–919. https://doi.org/10.1021/cn500096g. |
| [240] |
Sbrini G, Hanswijk SI, Brivio P, Middelman A, Bader M, Fumagalli F, et al. Peripheral Serotonin Deficiency Affects Anxiety-like Behavior and the Molecular Response to an Acute Challenge in Rats. International Journal of Molecular Sciences. 2022; 23: 4941. https://doi.org/10.3390/ijms23094941. |
| [241] |
Klemenhagen KC, Gordon JA, David DJ, Hen R, Gross CT. Increased fear response to contextual cues in mice lacking the 5-HT1A receptor. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology. 2006; 31: 101–111. https://doi.org/10.1038/sj.npp.1300774. |
| [242] |
Bouchekioua Y, Nebuka M, Sasamori H, Nishitani N, Sugiura C, Sato M, et al. Serotonin 5-HT2C receptor knockout in mice attenuates fear responses in contextual or cued but not compound context-cue fear conditioning. Translational Psychiatry. 2022; 12: 58. https://doi.org/10.1038/s41398-022-01815-2. |
| [243] |
Wellman CL, Izquierdo A, Garrett JE, Martin KP, Carroll J, Millstein R, et al. Impaired stress-coping and fear extinction and abnormal corticolimbic morphology in serotonin transporter knock-out mice. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience. 2007; 27: 684–691. https://doi.org/10.1523/JNEUROSCI.4595-06.2007. |
| [244] |
Sorgdrager FJH, Naudé PJW, Kema IP, Nollen EA, Deyn PPD. Tryptophan Metabolism in Inflammaging: From Biomarker to Therapeutic Target. Frontiers in Immunology. 2019; 10: 2565. https://doi.org/10.3389/fimmu.2019.02565. |
| [245] |
Myint AM. Kynurenines: from the perspective of major psychiatric disorders. The FEBS Journal. 2012; 279: 1375–1385. https://doi.org/10.1111/j.1742-4658.2012.08551.x. |
| [246] |
Battaglia MR, Di Fazio C, Battaglia S. Activated Tryptophan-Kynurenine metabolic system in the human brain is associated with learned fear. Frontiers in Molecular Neuroscience. 2023; 16: 1217090. https://doi.org/10.3389/fnmol.2023.1217090. |
| [247] |
Skorobogatov K, Autier V, Foiselle M, Richard JR, Boukouaci W, Wu CL, et al. Kynurenine pathway abnormalities are state-specific but not diagnosis-specific in schizophrenia and bipolar disorder. Brain, Behavior, & Immunity - Health. 2023; 27: 100584. https://doi.org/10.1016/j.bbih.2022.100584. |
| [248] |
Liang Y, Xie S, He Y, Xu M, Qiao X, Zhu Y, et al. Kynurenine Pathway Metabolites as Biomarkers in Alzheimer’s Disease. Disease Markers. 2022; 2022: 9484217. https://doi.org/10.1155/2022/9484217. |
| [249] |
Marszalek-Grabska M, Walczak K, Gawel K, Wicha-Komsta K, Wnorowska S, Wnorowski A, et al. Kynurenine emerges from the shadows - Current knowledge on its fate and function. Pharmacology & Therapeutics. 2021; 225: 107845. https://doi.org/10.1016/j.pharmthera.2021.107845. |
| [250] |
Yu P, Di Prospero NA, Sapko MT, Cai T, Chen A, Melendez-Ferro M, et al. Biochemical and phenotypic abnormalities in kynurenine aminotransferase II-deficient mice. Molecular and Cellular Biology. 2004; 24: 6919–6930. https://doi.org/10.1128/MCB.24.16.6919-6930.2004. |
| [251] |
Potter MC, Elmer GI, Bergeron R, Albuquerque EX, Guidetti P, Wu HQ, et al. Reduction of endogenous kynurenic acid formation enhances extracellular glutamate, hippocampal plasticity, and cognitive behavior. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology. 2010; 35: 1734–1742. https://doi.org/10.1038/npp.2010.39. |
| [252] |
Desbonnet L, Tighe O, Karayiorgou M, Gogos JA, Waddington JL, O’Tuathaigh CMP. Physiological and behavioural responsivity to stress and anxiogenic stimuli in COMT-deficient mice. Behavioural Brain Research. 2012; 228: 351–358. https://doi.org/10.1016/j.bbr.2011.12.014. |
| [253] |
Kash SF, Tecott LH, Hodge C, Baekkeskov S. Increased anxiety and altered responses to anxiolytics in mice deficient in the 65-kDa isoform of glutamic acid decarboxylase. Proceedings of the National Academy of Sciences of the United States of America. 1999; 96: 1698–1703. https://doi.org/10.1073/pnas.96.4.1698. |
| [254] |
Sangha S, Narayanan RT, Bergado-Acosta JR, Stork O, Seidenbecher T, Pape HC. Deficiency of the 65 kDa isoform of glutamic acid decarboxylase impairs extinction of cued but not contextual fear memory. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience. 2009; 29: 15713–15720. https://doi.org/10.1523/JNEUROSCI.2620-09.2009. |
| [255] |
Zhang WH, Zhou J, Pan HQ, Wang XY, Liu WZ, Zhang JY, et al. δ Subunit-containing GABAA receptor prevents overgeneralization of fear in adult mice. Learning & Memory (Cold Spring Harbor, N.Y.). 2017; 24: 381–384. https://doi.org/10.1101/lm.045856.117. |
| [256] |
Sideris A, Piskoun B, Russo L, Norcini M, Blanck T, Recio-Pinto E. Cannabinoid 1 receptor knockout mice display cold allodynia, but enhanced recovery from spared-nerve injury-induced mechanical hypersensitivity. Molecular Pain. 2016; 12: 1744806916649191. https://doi.org/10.1177/1744806916649191. |
| [257] |
de Lima EP, Tanaka M, Lamas CB, Quesada K, Detregiachi CRP, Araújo AC, et al. Vascular Impairment, Muscle Atrophy, and Cognitive Decline: Critical Age-Related Conditions. Biomedicines. 2024; 12: 2096. https://doi.org/10.3390/biomedicines12092096. |
| [258] |
Martos D, Lőrinczi B, Szatmári I, Vécsei L, Tanaka M. The Impact of C-3 Side Chain Modifications on Kynurenic Acid: A Behavioral Analysis of Its Analogs in the Motor Domain. International Journal of Molecular Sciences. 2024; 25: 3394. https://doi.org/10.3390/ijms25063394. |
| [259] |
Pagotto GLDO, Santos LMOD, Osman N, Lamas CB, Laurindo LF, Pomini KT, et al. Ginkgo biloba: A Leaf of Hope in the Fight against Alzheimer’s Dementia: Clinical Trial Systematic Review. Antioxidants (Basel, Switzerland). 2024; 13: 651. https://doi.org/10.3390/antiox13060651. |
| [260] |
Nunes YC, Mendes NM, Pereira de Lima E, Chehadi AC, Lamas CB, Haber JFS, et al. Curcumin: A Golden Approach to Healthy Aging: A Systematic Review of the Evidence. Nutrients. 2024; 16: 2721. https://doi.org/10.3390/nu16162721. |
| [261] |
de Kloet ER, Molendijk ML. Coping with the Forced Swim Stressor: Towards Understanding an Adaptive Mechanism. Neural Plasticity. 2016; 2016: 6503162. https://doi.org/10.1155/2016/6503162. |
| [262] |
Tanaka M, Vécsei L. From Lab to Life: Exploring Cutting-Edge Models for Neurological and Psychiatric Disorders. Biomedicines. 2024; 12: 613. https://doi.org/10.3390/biomedicines12030613. |
| [263] |
Tanaka M, Battaglia S, Giménez-Llort L, Chen C, Hepsomali P, Avenanti A, et al. Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry. Cells. 2024; 13: 790. https://doi.org/10.3390/cells13100790. |
| [264] |
Tanaka M, Vécsei L. A Decade of Dedication: Pioneering Perspectives on Neurological Diseases and Mental Illnesses. Biomed-icines. 2024; 12: 1083. https://doi.org/10.3390/biomedicines12051083. |
| [265] |
Lee DJ, Bovin MJ, Weathers FW, Palmieri PA, Schnurr PP, Sloan DM, et al. Latent factor structure of DSM-5 post-traumatic stress disorder: Evaluation of method variance and construct validity of novel symptom clusters. Psychological Assessment. 2019; 31: 46–58. https://doi.org/10.1037/pas0000642. |
| [266] |
McSweeney LB, Koch EI, Saules KK, Jefferson S. Exploratory Factor Analysis of Diagnostic and Statistical Manual, 5th Edition, Criteria for Posttraumatic Stress Disorder. The Journal of Nervous and Mental Disease. 2016; 204: 9–14. https://doi.org/10.1097/NMD.0000000000000390. |
| [267] |
Seligowski AV, Rogers AP, Orcutt HK. Relations among emotion regulation and DSM-5 symptom clusters of PTSD. Personality and Individual Differences. 2016; 92: 104–108. |
| [268] |
Di Gregorio F, Steinhauser M, Maier ME, Thayer JF, Battaglia S. Error-related cardiac deceleration: Functional interplay between error-related brain activity and autonomic nervous system in performance monitoring. Neuroscience and Biobehavioral Reviews. 2024; 157: 105542. https://doi.org/10.1016/j.neubiorev.2024.105542. |
| [269] |
Battaglia S, Nazzi C, Thayer JF. Genetic differences associated with dopamine and serotonin release mediate fear-induced brad-ycardia in the human brain. Translational Psychiatry. 2024; 14: 24. https://doi.org/10.1038/s41398-024-02737-x. |
National Research, Development, and Innovation Office—NKFIH(K138125)
SZTE SZAOK-KKA(2022/5S729)
HUN-REN Hungarian Research Network
JSPS Joint Research Projects under Bilateral Programs(JPJSBP120203803)
/
| 〈 |
|
〉 |