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Merritt K, McCutcheon RA, Aleman A, Ashley S, Beck K, Block W, Bloemen OJN, Borgan F, Boules C, Bustillo JR, Capizzano AA, Coughlin JM, David A, de la Fuente-Sandoval C, Demjaha A, Dempster K, Do KQ, Du F, Falkai P, Galińska-Skok B, Gallinat J, Gasparovic C, Ginestet CE, Goto N, Graff-Guerrero A, Ho BC, Howes O, Jauhar S, Jeon P, Kato T, Kaufmann CA, Kegeles LS, Keshavan MS, Kim SY, King B, Kunugi H, Lauriello J, León-Ortiz P, Liemburg E, Mcilwain ME, Modinos G, Mouchlianitis E, Nakamura J, Nenadic I, Öngür D, Ota M, Palaniyappan L, Pantelis C, Patel T, Plitman E, Posporelis S, Purdon SE, Reichenbach JR, Renshaw PF, Reyes-Madrigal F, Russell BR, Sawa A, Schaefer M, Shungu DC, Smesny S, Stanley JA, Stone J, Szulc A, Taylor R, Thakkar KN, Théberge J, Tibbo PG, van Amelsvoort T, Walecki J, Williamson PC, Wood SJ, Xin L, Yamasue H, McGuire P, Egerton A. Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis. Mol Psychiatry 2023; 28:2039-2048. [PMID: 36806762 PMCID: PMC10575771 DOI: 10.1038/s41380-023-01991-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 02/19/2023]
Abstract
Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK.
| | | | - André Aleman
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sarah Ashley
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Katherine Beck
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Oswald J N Bloemen
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christiana Boules
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Aristides A Capizzano
- Department of Radiology, Division of Neuroradiology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Jennifer M Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anthony David
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Arsime Demjaha
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kara Dempster
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kim Q Do
- Center for Psychiatric Neuroscience (CNP), Department of Psychiatry, Lausanne University Hospital-CHUV, Prilly-Lausanne, Switzerland
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Peter Falkai
- Department of Psychiatry, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Beata Galińska-Skok
- Department of Psychiatry, Medical University of Bialystok, Bialystok, Poland
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Cedric E Ginestet
- Department of Biostatistics and Health Informatics (S2.06), Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Naoki Goto
- Department of Psychiatry, Kokura Gamo Hospital, Kitakyushu, Fukuoka, 8020978, Japan
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Research Imaging Centre, Geriatric Mental Health Program at Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sameer Jauhar
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Peter Jeon
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Charles A Kaufmann
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Lawrence S Kegeles
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | | | | | - Bridget King
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - J Lauriello
- Jefferson Health-Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Edith Liemburg
- Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, Groningen, the Netherlands
| | - Meghan E Mcilwain
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Gemma Modinos
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Elias Mouchlianitis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jun Nakamura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Miho Ota
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Tulsi Patel
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sotirios Posporelis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, BR3 3BX, UK
| | - Scot E Purdon
- Neuropsychology Department, Alberta Hospital Edmonton, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Bruce R Russell
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Mental Health, Biomedical Engineering, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Schaefer
- Department of Psychiatry, Psychotherapy, Psychosomatics and Addiction Medicine, Kliniken Essen-Mitte, Essen, Germany
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Dikoma C Shungu
- Department of Radiology, Weill Cornell Medical College, New York City, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jeffrey A Stanley
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - James Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Reggie Taylor
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, MI, USA
| | - Jean Théberge
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | | | - Peter C Williamson
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Stephen J Wood
- Orygen, Melbourne, VIC, Australia
- Institute for Mental Health, University of Birmingham, Edgbaston, UK
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lijing Xin
- Animal Imaging and Technology Core (AIT), Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Philip McGuire
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Sonnenschein SF, Mayeli A, Yushmanov VE, Blazer A, Calabro FJ, Perica M, Foran W, Luna B, Hetherington HP, Ferrarelli F, Sarpal DK. A longitudinal investigation of GABA, glutamate, and glutamine across the insula during antipsychotic treatment of first-episode schizophrenia. Schizophr Res 2022; 248:98-106. [PMID: 36029656 PMCID: PMC10018530 DOI: 10.1016/j.schres.2022.08.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/29/2022] [Accepted: 08/20/2022] [Indexed: 11/23/2022]
Abstract
Individuals with first-episode schizophrenia (FES) typically present with acute psychotic symptoms. Though antipsychotic drugs are the mainstay for treatment, the neurobiology underlying successful treatment remains largely elusive. Recent evidence from functional connectivity studies highlights the insula as a key structure in the neural mechanism of response. However, molecular contributions to response across insular regions remain largely unknown. We used 7-Tesla magnetic resonance spectroscopic imaging (MRSI) to measure glutamate (Glu), Glutamine (Gln), and GABA from anterior and posterior regions of the insula across antipsychotic treatment. A total of 36 participants were examined, including 15 individuals with FES and moderate to severe psychosis who were scanned at two time points, while starting and after 6 weeks of antipsychotic treatment. Symptoms were carefully monitored across the study period to characterize treatment response. GABA, Glu, and Gln levels were calculated relative to creatine in anterior and posterior insular regions, bilaterally. In relation to psychotic symptom reduction, we observed a significant increase in Glu across all insular regions with (p < 0.001), but no corresponding changes in Gln or GABA. In group analyses, the FES cohort showed lower levels of Glu (p < 0.001) and GABA (p = 0.02) at baseline. Finally, in exploratory analyses, treatment remitters demonstrated a normalization of lower insular Glu levels across treatment, unlike non-remitters. Overall, these findings contribute to our understating of molecular changes associated with antipsychotic response and demonstrate abnormalities specific to the insula in FES.
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Affiliation(s)
| | - Ahmad Mayeli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Annie Blazer
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria Perica
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Deepak K Sarpal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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3
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Matrone M, Kotzalidis GD, Romano A, Bozzao A, Cuomo I, Valente F, Gabaglio C, Lombardozzi G, Trovini G, Amici E, Perrini F, De Persis S, Iasevoli F, De Filippis S, de Bartolomeis A. Treatment-resistant schizophrenia: Addressing white matter integrity, intracortical glutamate levels, clinical and cognitive profiles between early- and adult-onset patients. Prog Neuropsychopharmacol Biol Psychiatry 2022; 114:110493. [PMID: 34883221 DOI: 10.1016/j.pnpbp.2021.110493] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/05/2021] [Accepted: 11/29/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND Treatment-resistance in schizophrenia is 30-40%. Its neurobiology remains unclear; to explore it, we conducted a combined spectrometry/tractography/cognitive battery and psychopathological rating study on patients with treatment-resistant schizophrenia (TRS), dividing the sample into early-onset (N = 21) and adult-onset TRS (N = 20). Previous studies did not differentiate between early- (onset 13-18 years) and adult-onset (>18 years at formal diagnosis of schizophrenia) TRS. METHODS We evaluated cross-sectionally 41 TRS patients (26 male and 15 female) and 20 matched healthy controls (HCs) with psychopathological and cognitive testing prior to participating in brain imaging scanning using magnetic resonance spectroscopy and diffusion tensor imaging to determine the relationship between their symptoms and their glutamate levels and white matter integrity. RESULTS TRS patients scored lower than HCs on all cognitive domains; early-onset patients performed better than adult-onset patients only on the Symbol Coding domain. TRS correlated with symptom severity, especially negative symptoms. Glutamate levels and glutamate/creatine were increased in anterior cingulate cortex. Diffusion tensor imaging showed low fractional anisotropy in TRS patients in specific white matter tracts compared to HCs (bilateral anterior thalamic radiation, cortico-spinal tract, forceps minor, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, and right uncinate fasciculus). CONCLUSIONS We identified specific magnetic resonance spectroscopy and diffusion tensor imaging alterations in TRS patients. Adult-onset TRS differed little from early-onset TRS on most measures; this points to alterations being present since the outset of schizophrenia and may constitute a biological signature of treatment-resistance.
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Affiliation(s)
- Marta Matrone
- Section of Psychiatry Laboratory of Molecular and Translational Psychiatry, Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science, and Odontostomatology, University of Naples Federico II, 80131 Naples, Italy; Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Georgios D Kotzalidis
- NESMOS (Neurosciences, Mental Health, and Sensory Organs) Department, Sapienza University of Rome, Faculty of Medicine and Psychology, Via di Grottarossa 1035-1039, 00189 Rome, Italy.
| | - Andrea Romano
- NESMOS (Neurosciences, Mental Health, and Sensory Organs) Department, Sapienza University of Rome, Faculty of Medicine and Psychology, Via di Grottarossa 1035-1039, 00189 Rome, Italy.
| | - Alessandro Bozzao
- NESMOS (Neurosciences, Mental Health, and Sensory Organs) Department, Sapienza University of Rome, Faculty of Medicine and Psychology, Via di Grottarossa 1035-1039, 00189 Rome, Italy.
| | - Ilaria Cuomo
- UOC SM I Distretto ASL ROMA 1, C.C. Regina Cœli, Via della Lungara 29, 00165 Rome, Italy.
| | - Francesca Valente
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy; Department of Human Neurosciences, Institute of Child and Adolescent Neuropsychiatry, Sapienza University of Rome, Italy.
| | - Chiara Gabaglio
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Ginevra Lombardozzi
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Giada Trovini
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Emanuela Amici
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Filippo Perrini
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy; UOC SMREE Distretto ASL ROMA 6, TSMREE, Via S. Biagio, 12, 00049, Velletri, Rome, Italy.
| | - Simone De Persis
- UOSD Attività Terapeutiche Riabilitative per i Disturbi da uso di Sostanze e nuove Dipendenze, ASL Rieti, Via Salaria per Roma 36, 02100 Rieti, Italy.
| | - Felice Iasevoli
- Section of Psychiatry Laboratory of Molecular and Translational Psychiatry, Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science, and Odontostomatology, University of Naples Federico II, 80131 Naples, Italy.
| | - Sergio De Filippis
- Clinica Neuropsichiatrica Villa von Siebenthal, Department of Neuropsychiatry, Via della Madonnina 1, 00045 Genzano di Roma, RM, Italy
| | - Andrea de Bartolomeis
- Section of Psychiatry Laboratory of Molecular and Translational Psychiatry, Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science, and Odontostomatology, University of Naples Federico II, 80131 Naples, Italy.
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Frontal neural metabolite changes in schizophrenia and their association with cognitive control: A systematic review. Neurosci Biobehav Rev 2021; 132:224-247. [PMID: 34864431 PMCID: PMC8830497 DOI: 10.1016/j.neubiorev.2021.11.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/05/2021] [Accepted: 11/09/2021] [Indexed: 01/01/2023]
Abstract
GABA levels are decreased in medial frontal brain areas of schizophrenia patients. Glutamate levels are lower in medial and lateral frontal areas in chronic patients. Working memory performance is associated with frontal GABA and Glu. Prediction errors are associated Glu and medial frontal GABA. Processing speed correlates with medial frontal GABA levels.
A large proportion of patients with schizophrenia exhibit deficits in cognitive control functions including working memory, processing speed and inhibitory control, which have been associated with frontal brain areas. In this systematic review, we investigated differences between chronic schizophrenia patients, first-episode (FEP) patients and healthy control groups in the neurometabolite levels of GABA, glutamate, glutamine and Glx in frontal brain areas. Additionally, we reviewed correlations between cognitive control functions or negative symptoms and these neurometabolite levels. Several studies reported decreased GABA or glutamate concentrations in frontal lobe areas, particularly in chronic schizophrenia patients, while the results were mixed for FEP patients. Working memory performance and prediction errors have been associated with frontal GABA and glutamate levels, and processing speed with frontomedial GABA levels in chronic patients. The relationship between metabolites and negative symptom severity was somewhat inconsistent. Future studies should take the participants' age, medication status or responsivity, disease stage and precise anatomical location of the voxel into account when comparing neurometabolite levels between schizophrenia patients and healthy controls.
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Egerton A, Murphy A, Donocik J, Anton A, Barker GJ, Collier T, Deakin B, Drake R, Eliasson E, Emsley R, Gregory CJ, Griffiths K, Kapur S, Kassoumeri L, Knight L, Lambe EJB, Lawrie SM, Lees J, Lewis S, Lythgoe DJ, Matthews J, McGuire P, McNamee L, Semple S, Shaw AD, Singh KD, Stockton-Powdrell C, Talbot PS, Veronese M, Wagner E, Walters JTR, Williams SR, MacCabe JH, Howes OD. Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA). Schizophr Bull 2021; 47:505-516. [PMID: 32910150 PMCID: PMC7965076 DOI: 10.1093/schbul/sbaa128] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min-1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
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Affiliation(s)
- Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Anna Murphy
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jacek Donocik
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Adriana Anton
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Academic Unit of Radiology, Medical School, Faculty of Medicine, Dentistry & Health, University of Sheffield, Sheffield, UK
| | - Gareth J Barker
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Tracy Collier
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Bill Deakin
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Richard Drake
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Emma Eliasson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Richard Emsley
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Catherine J Gregory
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Kira Griffiths
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Shitij Kapur
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Laura Knight
- CUBRIC, School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Emily J B Lambe
- CUBRIC, School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | | | - Jane Lees
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Shôn Lewis
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David J Lythgoe
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Julian Matthews
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Lily McNamee
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Scott Semple
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Alexander D Shaw
- CUBRIC, School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Krish D Singh
- CUBRIC, School of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Charlotte Stockton-Powdrell
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Peter S Talbot
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Mattia Veronese
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Ernest Wagner
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Stephen R Williams
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
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6
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Abstract
RATIONALE Proton magnetic resonance spectroscopy (1H-MRS) is a cross-species neuroimaging technique that can measure concentrations of several brain metabolites, including glutamate and GABA. This non-invasive method has promise in developing centrally acting drugs, as it can be performed repeatedly within-subjects and be used to translate findings from the preclinical to clinical laboratory using the same imaging biomarker. OBJECTIVES This review focuses on the utility of single-voxel 1H-MRS in developing novel glutamatergic or GABAergic drugs for the treatment of psychiatric disorders and includes research performed in rodent models, healthy volunteers and patient cohorts. RESULTS Overall, these studies indicate that 1H-MRS is able to detect the predicted pharmacological effects of glutamatergic or GABAergic drugs on voxel glutamate or GABA concentrations, although there is a shortage of studies examining dose-related effects. Clinical studies have applied 1H-MRS to better understand drug therapeutic mechanisms, including the glutamatergic effects of ketamine in depression and of acamprosate in alcohol dependence. There is an emerging interest in identifying patient subgroups with 'high' or 'low' brain regional 1H-MRS glutamate levels for more targeted drug development, which may require ancillary biomarkers to improve the accuracy of subgroup discrimination. CONCLUSIONS Considerations for future research include the sensitivity of single-voxel 1H-MRS in detecting drug effects, inter-site measurement reliability and the interpretation of drug-induced changes in 1H-MRS metabolites relative to the known pharmacological molecular mechanisms. On-going technological development, in single-voxel 1H-MRS and in related complementary techniques, will further support applications within CNS drug discovery.
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Affiliation(s)
- Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK.
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7
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Proton Magnetic Resonance Spectroscopy of N-acetyl Aspartate in Chronic Schizophrenia, First Episode of Psychosis and High-Risk of Psychosis: A Systematic Review and Meta-Analysis. Neurosci Biobehav Rev 2020; 119:255-267. [PMID: 33068555 DOI: 10.1016/j.neubiorev.2020.10.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/01/2020] [Accepted: 10/07/2020] [Indexed: 02/06/2023]
Abstract
N-acetyl-aspartate (NAA) is a readily measured marker of neuronal metabolism. Previous analyses in schizophrenia have shown NAA levels are low in frontal, temporal and thalamic regions, but may be underpowered to detect effects in other regions, in high-risk states and in first episode psychosis. We searched for magnetic resonance spectroscopy studies comparing NAA in chronic schizophrenia, first episode psychosis and high risk of psychosis to controls. 182 studies were included and meta-analysed using a random-effects model for each region and illness stage. NAA levels were significantly lower than controls in the frontal lobe [Hedge's g = -0.36, p < 0.001], hippocampus [-0.52, p < 0.001], temporal lobe [-0.35, p = 0.031], thalamus [-0.32, p = 0.012] and parietal lobe [-0.25, p = 0.028] in chronic schizophrenia, and lower than controls in the frontal lobe [-0.26, p = 0.002], anterior cingulate cortex [-0.24, p = 0.016] and thalamus [-0.28, p = 0.028] in first episode psychosis. NAA was lower in high-risk of psychosis in the hippocampus [-0.20, p = 0.049]. In schizophrenia, NAA alterations appear to begin in hippocampus, frontal cortex and thalamus, and extend later to many other regions.
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8
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Li J, Ren H, He Y, Li Z, Ma X, Yuan L, Ouyang L, Zhou J, Wang D, Li C, Chen X, Han H, Tang J. Anterior Cingulate Cortex Glutamate Levels Are Related to Response to Initial Antipsychotic Treatment in Drug-Naive First-Episode Schizophrenia Patients. Front Psychiatry 2020; 11:553269. [PMID: 33192666 PMCID: PMC7644538 DOI: 10.3389/fpsyt.2020.553269] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 09/22/2020] [Indexed: 01/23/2023] Open
Abstract
The glutamatergic system has previously been shown to be involved in the pathophysiology of schizophrenia and the mechanisms of action of antipsychotic treatment. The present study aimed to investigate the relationship between the levels of glutamate (Glu) or Glu/total creatine (Glu/Cr+PCr) in the anterior cingulate cortex (ACC) and psychiatric symptoms as well as the response to antipsychotic treatment. We performed proton magnetic resonance spectroscopy (1H-MRS) to measure Glu and Glu/Cr+PCr in the ACC of 35 drug-naïve first-episode schizophrenia (FES) patients and 40 well-matched healthy controls (HCs). After scanning, we treated the patients with risperidone for eight weeks. Remission status was based on the Positive and Negative Syndrome Scale (PANSS) scores at week 8. At baseline, there were no significant differences in the levels of Glu or Glu/Cr+PCr in the ACC between drug-naïve FES patients and HCs. Lower baseline levels of Glu/Cr+PCr but not Glu in the ACC were associated with more severe negative symptoms of schizophrenia. Compared to the remission group (RM), the non-remission group (NRM) had lower baseline ACC Glu levels (P < 0.05). Our results suggest that ACC Glu levels may be related to the severity of symptoms in the early stages of schizophrenia and therefore may be a marker with which to evaluate the treatment effect of antipsychotics in schizophrenia patients.
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Affiliation(s)
- Jinguang Li
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Honghong Ren
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ying He
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - ZongChang Li
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoqian Ma
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Liu Yuan
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lijun Ouyang
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun Zhou
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Dong Wang
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Chunwang Li
- Department of Radiology, Hunan Childen's Hospital, Changsha, China
| | - Xiaogang Chen
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hongying Han
- Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jinsong Tang
- Hunan Key Laboratory of Psychiatry and Mental Health, Department of Psychiatry, National Clinical Research Center for Mental Disorders, Hunan Medical Center for Mental Health, China National Technology Institute on Mental Disorders, Institute of Mental Health, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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9
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Dempster K, Jeon P, MacKinley M, Williamson P, Théberge J, Palaniyappan L. Early treatment response in first episode psychosis: a 7-T magnetic resonance spectroscopic study of glutathione and glutamate. Mol Psychiatry 2020; 25:1640-1650. [PMID: 32205866 PMCID: PMC7387300 DOI: 10.1038/s41380-020-0704-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 02/18/2020] [Accepted: 02/24/2020] [Indexed: 01/07/2023]
Abstract
Early response to antipsychotic medications is one of the most important determinants of later symptomatic and functional outcomes in psychosis. Glutathione and glutamate have emerged as promising therapeutic targets for patients demonstrating inadequate response to dopamine-blocking antipsychotics. Nevertheless, the role of these neurochemicals in the mechanism of early antipsychotic response remains poorly understood. Using a longitudinal design and ultrahigh field 7-T magnetic resonance spectroscopy (MRS) protocol in 53 subjects, we report the association between dorsal anterior cingulate cortex glutamate and glutathione, with time to treatment response in drug naive (34.6% of the sample) or minimally medicated first episode patients with schizophreniform disorder, schizophrenia, and schizoaffective disorder. Time to response was defined as the number of weeks required to reach a 50% reduction in the PANSS-8 scores. Higher glutathione was associated with shorter time to response (F = 4.86, P = 0.017), while higher glutamate was associated with more severe functional impairment (F = 5.33, P = 0.008). There were no significant differences between patients and controls on measures of glutamate or glutathione. For the first time, we have demonstrated an association between higher glutathione and favorable prognosis in FEP. We propose that interventions that increase brain glutathione levels may improve outcomes of early intervention in psychosis.
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Affiliation(s)
- Kara Dempster
- 0000 0004 1936 8200grid.55602.34Department of Psychiatry, Dalhousie University, Halifax, NS Canada
| | - Peter Jeon
- 0000 0004 1936 8884grid.39381.30Department of Medical Biophysics, University of Western Ontario, London, ON Canada
| | - Michael MacKinley
- 0000 0004 1936 8884grid.39381.30Robarts Research Institute, London, ON Canada
| | - Peter Williamson
- 0000 0004 1936 8884grid.39381.30Robarts Research Institute, London, ON Canada ,0000 0004 1936 8884grid.39381.30Department of Psychiatry, University of Western Ontario, London, ON Canada ,0000 0001 0556 2414grid.415847.bLawson Health Research Institute, London, ON Canada
| | - Jean Théberge
- 0000 0004 1936 8884grid.39381.30Department of Medical Biophysics, University of Western Ontario, London, ON Canada ,0000 0004 1936 8884grid.39381.30Robarts Research Institute, London, ON Canada ,0000 0001 0556 2414grid.415847.bLawson Health Research Institute, London, ON Canada ,0000 0000 9674 4717grid.416448.bDepartment of Diagnostic Imaging, St. Joseph’s Health Care London, London, ON Canada
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada. .,Robarts Research Institute, London, ON, Canada. .,Department of Psychiatry, University of Western Ontario, London, ON, Canada. .,Lawson Health Research Institute, London, ON, Canada.
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10
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Disrupted GABAergic facilitation of working memory performance in people with schizophrenia. NEUROIMAGE-CLINICAL 2019; 25:102127. [PMID: 31864216 PMCID: PMC6928454 DOI: 10.1016/j.nicl.2019.102127] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 11/25/2019] [Accepted: 12/13/2019] [Indexed: 11/21/2022]
Abstract
As in a previous study, higher GABA concentrations in the dorsolateral prefrontal cortex (DLPFC) were associated with better working memory (WM) in healthy participants. Despite no overall group difference in DLPFC GABA concentrations, people with schizophrenia showed significantly different inverse associations, with higher DLPFC GABA associated with worse rather than better WM. This opposite pattern of correlations despite a lack of group differences suggests that schizophrenia alters the distribution of different classes of GABAergic interneurons rather than producing a general deficit across the total population of neurons.
Objectives Gamma-Amiobutyric acid (GABA) is a primary inhibitory neurotransmitter that facilitates neural oscillations that coordinate neural activity between brain networks to facilitate cognition. The present magnetic resonance spectroscopy (MRS) study tests the hypothesis that GABAergic facilitation of working memory is disrupted in people with schizophrenia (PSZ). Methods 51 healthy participants and 40 PSZ from the UC Davis Early Psychosis Program performed an item and temporal order working memory (WM) task and underwent resting MRS to measure GABA and glutamate concentrations in dorsolateral prefrontal (DLPFC) and anterior cingulate (ACC) regions of interest. MRS was acquired on a 3 Tesla Siemens scanner and GABA and glutamate concentrations were referenced to creatine. Percent correct on the WM task indexed performance and correlation coefficients examined GABAergic or Glutamatergic facilitation of WM, with Fisher's Z transformation testing for group differences. Results There were no group differences in GABA or glutamate concentrations, but WM correlations were reversed between groups. In patients, higher DLPFC GABA was associated with worse rather than better WM performance. This pattern was not observed for glutamate or in the ACC. Although under-powered, there was no indication of medication effects. Conclusions and Relevance Results cannot be explained by group differences in DLPFC GABA or glutamate concentrations but, instead, indicate that schizophrenia disrupts the GABAergic facilitation of WM seen in healthy individuals. Results appear to parallel post mortem findings in suggesting that schizophrenia alters the distribution of different classes of GABAergic interneurons rather than producing a general deficit across the total population of neurons.
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11
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Merritt K, Perez-Iglesias R, Sendt KV, Goozee R, Jauhar S, Pepper F, Barker GJ, Glenthøj B, Arango C, Lewis S, Kahn R, Stone J, Howes O, Dazzan P, McGuire P, Egerton A. Remission from antipsychotic treatment in first episode psychosis related to longitudinal changes in brain glutamate. NPJ SCHIZOPHRENIA 2019; 5:12. [PMID: 31371817 PMCID: PMC6672005 DOI: 10.1038/s41537-019-0080-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 06/19/2019] [Indexed: 02/04/2023]
Abstract
Neuroimaging studies in schizophrenia have linked elevated glutamate metabolite levels to non-remission following antipsychotic treatment, and also indicate that antipsychotics can reduce glutamate metabolite levels. However, the relationship between symptomatic reduction and change in glutamate during initial antipsychotic treatment is unclear. Here we report proton magnetic resonance spectroscopy (1H-MRS) measurements of Glx and glutamate in the anterior cingulate cortex (ACC) and thalamus in patients with first episode psychosis (n = 23) at clinical presentation, and after 6 weeks and 9 months of treatment with antipsychotic medication. At 9 months, patients were classified into Remission (n = 12) and Non-Remission (n = 11) subgroups. Healthy volunteers (n = 15) were scanned at the same three time-points. In the thalamus, Glx varied over time according to remission status (P = 0.020). This reflected an increase in Glx between 6 weeks and 9 months in the Non-Remission subgroup that was not evident in the Remission subgroup (P = 0.031). In addition, the change in Glx in the thalamus over the 9 months of treatment was positively correlated with the change in the severity of Positive and Negative Syndrome Scale (PANSS) positive, total and general symptoms (P<0.05). There were no significant effects of group or time on glutamate metabolites in the ACC, and no differences between either patient subgroup and healthy volunteers. These data suggest that the nature of the response to antipsychotic medication may be related to the pattern of changes in glutamatergic metabolite levels over the course of treatment. Specifically, longitudinal reductions in thalamic Glx levels following antipsychotic treatment are associated with symptomatic improvement.
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Affiliation(s)
- Kate Merritt
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK.
| | - Rocio Perez-Iglesias
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK.,CIBERSAM: Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Kyra-Verena Sendt
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Rhianna Goozee
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Sameer Jauhar
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Fiona Pepper
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Gareth J Barker
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Birte Glenthøj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, & Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Center Glostrup, University of Copenhagen, København, Denmark
| | - Celso Arango
- CIBERSAM: Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Shôn Lewis
- Institute of Brain, Behaviour and Mental Health, Manchester Academic Health Sciences Centre and Manchester Mental Health and Social Care Trust, Manchester, M13 9PL, UK
| | - René Kahn
- Department of Psychiatry, Icahn School of Medicine, New York, USA
| | - James Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Oliver Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
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12
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Choline Compounds of the Frontal Lobe and Temporal Glutamatergic System in Bipolar and Schizophrenia Proton Magnetic Resonance Spectroscopy Study. DISEASE MARKERS 2019; 2018:3654894. [PMID: 30595760 PMCID: PMC6286772 DOI: 10.1155/2018/3654894] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 10/24/2018] [Indexed: 12/13/2022]
Abstract
Purpose Modern neuroimaging techniques allow investigating brain structures and substances involved in the pathophysiology of mental disorders, trying to find new markers of these disorders. To better understanding of the pathophysiology and differential diagnosis of schizophrenia and bipolar disorder, this study was conducted to assess the neurochemical alterations in the frontal and temporal lobes in hospitalized patients with schizophrenia and bipolar disorder. Methods Twenty-one subjects with schizophrenia (paranoid and differentiated types), 16 subjects with bipolar I disorder (manic, depressive, and mixed episode), and 20 healthy subjects were studied. Magnetic resonance (MR) imaging and proton resonance magnetic spectroscopy (1H MRS) were performed on a 1.5 T scanner. Voxels of 8 cm3 were positioned in the left frontal and left temporal lobes. Results Glx/H2O (GABA, glutamine, and glutamate/nonsuppressed water signal) ratios were significantly increased in the left temporal lobe in schizophrenia, but not in bipolar disorder, compared with controls. Cho/H2O (choline/nonsuppressed water signal) ratios in the left frontal lobe had a tendency to increase in bipolar disorder and schizophrenia, relative to controls. A lower temporal lobe NAA/H2O ratio in mixed than in manic and depressive episode of bipolar patients was also found. No other significant differences were found among three studied groups as regards NAA, Cr, and mI ratios. Conclusions Our results partially confirm the role of a glutamatergic system in schizophrenia, however, only in a temporal lobe. We also point to the importance of the choline-containing compounds (marker of cellular density) in the frontal lobe of patients suffering from bipolar disorder and schizophrenia. We also found the deleterious effect of mixed bipolar episode on the integrity and functioning of the temporal lobe. Glutamatergic left temporal spectroscopic changes may potentially help in differential diagnosis of schizophrenia from bipolar disorder.
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13
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Response to initial antipsychotic treatment in first episode psychosis is related to anterior cingulate glutamate levels: a multicentre 1H-MRS study (OPTiMiSE). Mol Psychiatry 2018; 23:2145-2155. [PMID: 29880882 DOI: 10.1038/s41380-018-0082-9] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 03/15/2018] [Accepted: 04/04/2018] [Indexed: 12/19/2022]
Abstract
Conventional antipsychotic medication is ineffective in around a third of patients with schizophrenia, and the nature of the therapeutic response is unpredictable. We investigated whether response to antipsychotics is related to brain glutamate levels prior to treatment. Proton magnetic resonance spectroscopy was used to measure glutamate levels (Glu/Cr) in the anterior cingulate cortex (ACC) and in the thalamus in antipsychotic-naive or minimally medicated patients with first episode psychosis (FEP, n = 71) and healthy volunteers (n = 60), at three sites. Following scanning, patients were treated with amisulpride for 4 weeks (n = 65), then 1H-MRS was repeated (n = 46). Remission status was defined in terms of Positive and Negative Syndrome Scale for Schizophrenia (PANSS) scores. Higher levels of Glu/Cr in the ACC were associated with more severe symptoms at presentation and a lower likelihood of being in remission at 4 weeks (P < 0.05). There were longitudinal reductions in Glu/Cr in both the ACC and thalamus over the treatment period (P < 0.05), but these changes were not associated with the therapeutic response. There were no differences in baseline Glu/Cr between patients and controls. These results extend previous evidence linking higher levels of ACC glutamate with a poor antipsychotic response by showing that the association is evident before the initiation of treatment.
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14
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Foss-Feig JH, Adkinson BD, Ji JL, Yang G, Srihari VH, McPartland JC, Krystal JH, Murray JD, Anticevic A. Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders. Biol Psychiatry 2017; 81:848-861. [PMID: 28434615 PMCID: PMC5436134 DOI: 10.1016/j.biopsych.2017.03.005] [Citation(s) in RCA: 191] [Impact Index Per Article: 23.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 02/06/2017] [Accepted: 03/05/2017] [Indexed: 01/08/2023]
Abstract
Recent theoretical accounts have proposed excitation and inhibition (E/I) imbalance as a possible mechanistic, network-level hypothesis underlying neural and behavioral dysfunction across neurodevelopmental disorders, particularly autism spectrum disorder (ASD) and schizophrenia (SCZ). These two disorders share some overlap in their clinical presentation as well as convergence in their underlying genes and neurobiology. However, there are also clear points of dissociation in terms of phenotypes and putatively affected neural circuitry. We highlight emerging work from the clinical neuroscience literature examining neural correlates of E/I imbalance across children and adults with ASD and adults with both chronic and early-course SCZ. We discuss findings from diverse neuroimaging studies across distinct modalities, conducted with electroencephalography, magnetoencephalography, proton magnetic resonance spectroscopy, and functional magnetic resonance imaging, including effects observed both during task and at rest. Throughout this review, we discuss points of convergence and divergence in the ASD and SCZ literature, with a focus on disruptions in neural E/I balance. We also consider these findings in relation to predictions generated by theoretical neuroscience, particularly computational models predicting E/I imbalance across disorders. Finally, we discuss how human noninvasive neuroimaging can benefit from pharmacological challenge studies to reveal mechanisms in ASD and SCZ. Collectively, we attempt to shed light on shared and divergent neuroimaging effects across disorders with the goal of informing future research examining the mechanisms underlying the E/I imbalance hypothesis across neurodevelopmental disorders. We posit that such translational efforts are vital to facilitate development of neurobiologically informed treatment strategies across neuropsychiatric conditions.
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Affiliation(s)
- Jennifer H Foss-Feig
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai Hospital, New York, New York; Seaver Autism Center, Icahn School of Medicine at Mount Sinai Hospital, New York, New York; Child Study Center, Yale University School of Medicine, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Brendan D Adkinson
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Genevieve Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - James C McPartland
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven, Connecticut
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Division of Neurocognition, Neurocomputation, & Neurogenetics (N3), Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut; Department of Psychology, Yale University, New Haven, Connecticut
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15
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Egerton A, Bhachu A, Merritt K, McQueen G, Szulc A, McGuire P. Effects of Antipsychotic Administration on Brain Glutamate in Schizophrenia: A Systematic Review of Longitudinal 1H-MRS Studies. Front Psychiatry 2017; 8:66. [PMID: 28503156 PMCID: PMC5408014 DOI: 10.3389/fpsyt.2017.00066] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/10/2017] [Indexed: 01/23/2023] Open
Abstract
Schizophrenia is associated with brain glutamate dysfunction, but it is currently unclear whether antipsychotic administration can reduce the extent of glutamatergic abnormality. We conducted a systematic review of proton magnetic resonance spectroscopy (1H-MRS) studies examining the effects of antipsychotic treatment on brain glutamate levels in schizophrenia. The Medline database was searched to identify relevant articles published until December 2016. Inclusion required that studies examined longitudinal changes in brain glutamate metabolites in patients with schizophrenia before and after initiation of first antipsychotic treatment or a switch in antipsychotic treatment. The searches identified eight eligible articles, with baseline and follow-up measures in a total of 168 patients. The majority of articles reported a numerical reduction in brain glutamate metabolites with antipsychotic treatment, and the estimated overall mean reduction of 6.5% in Glx (the combined signal from glutamate and glutamine) across brain regions. Significant reductions in glutamate metabolites in at least one brain region were reported in four of the eight studies, and none of the studies reported a significant glutamatergic increase after antipsychotic administration. Relationships between the degree of change in glutamate and the degree of improvement in symptoms have been inconsistent but may provide limited evidence that antipsychotic response may be associated with lower glutamate levels before treatment and a greater extent of glutamatergic reduction during treatment. Further longitudinal, prospective studies of glutamate and antipsychotic response are required to confirm these findings.
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Affiliation(s)
- Alice Egerton
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Akarmi Bhachu
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Kate Merritt
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Grant McQueen
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Philip McGuire
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
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16
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Mouchlianitis E, Bloomfield MAP, Law V, Beck K, Selvaraj S, Rasquinha N, Waldman A, Turkheimer FE, Egerton A, Stone J, Howes OD. Treatment-Resistant Schizophrenia Patients Show Elevated Anterior Cingulate Cortex Glutamate Compared to Treatment-Responsive. Schizophr Bull 2016; 42:744-52. [PMID: 26683625 PMCID: PMC4838083 DOI: 10.1093/schbul/sbv151] [Citation(s) in RCA: 165] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Resistance to antipsychotic treatment is a significant clinical problem in patients with schizophrenia with approximately 1 in 3 showing limited or no response to repeated treatments with antipsychotic medication. The neurobiological basis for treatment resistance is unknown but recent evidence implicates glutamatergic function in the anterior cingulate cortex. We examined glutamate levels of chronically ill treatment-resistant patients directly compared to treatment-responsive patients. METHODS We acquired proton magnetic resonance spectroscopy (1H-MRS) at 3 Tesla from 21 treatment-resistant and 20 treatment-responsive patients. All participants had a DSM-IV diagnosis of schizophrenia. Treatment-resistant patients were classified using the modified Kane criteria. The groups were matched for age, sex, smoking status, and illness duration. RESULTS Glutamate to creatine ratio levels were higher in treatment-resistant patients (Mean [SD] = 1.57 [0.24]) than in treatment-responsive patients (Mean[SD] = 1.38 [0.23]), (T[35] = 2.34, P = .025, 2-tailed), with a large effect size of d = 0.76. A model assuming 2 populations showed a 25% improvement in the fit of the Akaike weights (0.55) over a model assuming 1 population (0.44), producing group values almost identical to actual group means. DISCUSSION Increased anterior cingulate glutamate level is associated with treatment-resistant schizophrenia. This appears to be a stable neurobiological trait of treatment-resistant patients. We discuss possible explanations for glutamatergic dysfunction playing a significant role in resistance to conventional antipsychotic treatments, which are all dopamine-2 receptor blockers. Our findings suggest that glutamatergic treatments may be particularly effective in resistant patients and that 1H-MRS glutamate indices can potentially have clinical use.
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Affiliation(s)
- Elias Mouchlianitis
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK; Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King's College London, UK;
| | - Michael A. P. Bloomfield
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,University College London, Division of Psychiatry, London, UK
| | - Vincent Law
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK
| | - Katherine Beck
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Sudhakar Selvaraj
- Department of Psychiatry and Behavioral Sciences, University of Texas, Houston, TX
| | | | - Adam Waldman
- Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Federico E. Turkheimer
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Alice Egerton
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - James Stone
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Oliver D. Howes
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
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17
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Treen D, Batlle S, Mollà L, Forcadell E, Chamorro J, Bulbena A, Perez V. Are there glutamate abnormalities in subjects at high risk mental state for psychosis? A review of the evidence. Schizophr Res 2016; 171:166-75. [PMID: 26803691 DOI: 10.1016/j.schres.2016.01.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 11/29/2015] [Accepted: 01/01/2016] [Indexed: 02/07/2023]
Abstract
New approaches to underlying alterations in psychosis suggest increasing evidence of glutamatergic abnormalities in schizophrenia and an association between these abnormalities and certain core psychopathological alterations such as cognitive impairment and negative symptoms. Proton magnetic resonance spectroscopy ((1)H MRS) is an MR-based technique that enables investigators to study glutamate function by measuring in vivo glutamatergic indices in the brain. In this article we review the published studies of (1)H MRS in subjects with an at-risk mental state (ARMS) for psychosis. The primary aim was to investigate whether alterations in glutamate function are present before the illness develops in order to expand our understanding of glutamatergic abnormalities in prodromal phases. Three databases were consulted for this review. Titles and abstracts were examined to determine if they fulfilled the inclusion criteria. The reference lists of the included studies were also examined to identify additional trials. Eleven final studies were included in this review. Significant alterations in glutamate metabolites across different cerebral areas (frontal lobe, thalamus, and the associative striatum) in subjects with an ARMS for psychosis are reported in six of the trials. A longitudinal analysis in two of these trials confirmed an association between these abnormalities and worsening of symptoms and final transition to psychosis. Considering that five other studies found no significant differences across these same areas, we can conclude that more research is needed to confirm glutamatergic abnormalities in subjects with an ARMS for psychosis. However, future research must overcome the methodological limitations of existing studies to obtain reliable results.
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Affiliation(s)
- Devi Treen
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Santiago Batlle
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Laia Mollà
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Eduard Forcadell
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Jacobo Chamorro
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Antonio Bulbena
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Autonomous University of Barcelona UAB, Department of Psychiatry and Forensic Medicine, Bellaterra, Spain
| | - Victor Perez
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Autonomous University of Barcelona UAB, Department of Psychiatry and Forensic Medicine, Bellaterra, Spain; Centro de Investigación Biomédica en Red de Salud Mental CIBERSAM, Spain
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18
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Strzelecki D, Podgórski M, Kałużyńska O, Gawlik-Kotelnicka O, Stefańczyk L, Kotlicka-Antczak M, Gmitrowicz A, Grzelak P. Supplementation of Antipsychotic Treatment with the Amino Acid Sarcosine Influences Proton Magnetic Resonance Spectroscopy Parameters in Left Frontal White Matter in Patients with Schizophrenia. Nutrients 2015; 7:8767-82. [PMID: 26506383 PMCID: PMC4632447 DOI: 10.3390/nu7105427] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Revised: 09/03/2015] [Accepted: 09/29/2015] [Indexed: 01/04/2023] Open
Abstract
Dysfunction of the glutamatergic system, the main stimulating system in the brain, has a major role in pathogenesis of schizophrenia. The frontal white matter (WM) is partially composed of axons from glutamatergic pyramidal neurons and glia with glutamatergic receptors. The natural amino acid sarcosine, a component of a normal diet, inhibits the glycine type 1 transporter, increasing the glycine level. Thus, it modulates glutamatergic transmission through the glutamatergic ionotropic NMDA (N-methyl-d-aspartate) receptor, which requires glycine as a co-agonist. To evaluate the concentrations of brain metabolites (NAA, N-acetylaspartate; Glx, complex of glutamate, glutamine, and γ-aminobutyric acid (GABA); mI, myo-inositol; Cr, creatine; Cho, choline) in the left frontal WM, Proton Nuclear Magnetic Resonance (1H-NMR) spectroscopy was used. Twenty-five patients randomly chosen from a group of fifty with stable schizophrenia (DSM-IV-TR) and dominant negative symptoms, who were receiving antipsychotic therapy, were administered 2 g of sarcosine daily for six months. The remaining 25 patients received placebo. Assignment was double blinded. 1H-NMR spectroscopy (1.5 T) was performed twice: before and after the intervention. NAA, Glx and mI were evaluated as Cr and Cho ratios. All patients were also assessed twice with the Positive and Negative Syndrome Scale (PANSS). Results were compared between groups and in two time points in each group. The sarcosine group demonstrated a significant decrease in WM Glx/Cr and Glx/Cho ratios compared to controls after six months of therapy. In the experimental group, the final NAA/Cr ratio significantly increased and Glx/Cr ratio significantly decreased compared to baseline values. Improvement in the PANSS scores was significant only in the sarcosine group. In patients with schizophrenia, sarcosine augmentation can reverse the negative effect of glutamatergic system overstimulation, with a simultaneous beneficial increase of NAA/Cr ratio in the WM of the left frontal lobe. Our results further support the glutamatergic hypothesis of schizophrenia.
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Affiliation(s)
- Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, Łódź 92-213, Poland.
| | - Michał Podgórski
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Łódź 92-213, Poland.
| | - Olga Kałużyńska
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, Łódź 92-213, Poland.
| | - Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, Łódź 92-213, Poland.
| | - Ludomir Stefańczyk
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Łódź 92-213, Poland.
| | - Magdalena Kotlicka-Antczak
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, Łódź 92-213, Poland.
| | - Agnieszka Gmitrowicz
- Department of Adolescent Psychiatry, Medical University of Łódź, Łódź 92-213, Poland.
| | - Piotr Grzelak
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Łódź 92-213, Poland.
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19
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Strzelecki D, Podgórski M, Kałużyńska O, Stefańczyk L, Kotlicka-Antczak M, Gmitrowicz A, Grzelak P. Adding Sarcosine to Antipsychotic Treatment in Patients with Stable Schizophrenia Changes the Concentrations of Neuronal and Glial Metabolites in the Left Dorsolateral Prefrontal Cortex. Int J Mol Sci 2015; 16:24475-89. [PMID: 26501260 PMCID: PMC4632760 DOI: 10.3390/ijms161024475] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 08/17/2015] [Accepted: 08/18/2015] [Indexed: 01/10/2023] Open
Abstract
The glutamatergic system is a key point in pathogenesis of schizophrenia. Sarcosine (N-methylglycine) is an exogenous amino acid that acts as a glycine transporter inhibitor. It modulates glutamatergic transmission by increasing glycine concentration around NMDA (N-methyl-d-aspartate) receptors. In patients with schizophrenia, the function of the glutamatergic system in the prefrontal cortex is impaired, which may promote negative and cognitive symptoms. Proton nuclear magnetic resonance (¹H-NMR) spectroscopy is a non-invasive imaging method enabling the evaluation of brain metabolite concentration, which can be applied to assess pharmacologically induced changes. The aim of the study was to evaluate the influence of a six-month course of sarcosine therapy on the concentration of metabolites (NAA, N-acetylaspartate; Glx, complex of glutamate, glutamine and γ-aminobutyric acid (GABA); mI, myo-inositol; Cr, creatine; Cho, choline) in the left dorso-lateral prefrontal cortex (DLPFC) in patients with stable schizophrenia. Fifty patients with schizophrenia, treated with constant antipsychotics doses, in stable clinical condition were randomly assigned to administration of sarcosine (25 patients) or placebo (25 patients) for six months. Metabolite concentrations in DLPFC were assessed with 1.5 Tesla ¹H-NMR spectroscopy. Clinical symptoms were evaluated with the Positive and Negative Syndrome Scale (PANSS). The first spectroscopy revealed no differences in metabolite concentrations between groups. After six months, NAA/Cho, mI/Cr and mI/Cho ratios in the left DLPFC were significantly higher in the sarcosine than the placebo group. In the sarcosine group, NAA/Cr, NAA/Cho, mI/Cr, mI/Cho ratios also significantly increased compared to baseline values. In the placebo group, only the NAA/Cr ratio increased. The addition of sarcosine to antipsychotic therapy for six months increased markers of neurons viability (NAA) and neurogilal activity (mI) with simultaneous improvement of clinical symptoms. Sarcosine, two grams administered daily, seems to be an effective adjuvant in the pharmacotherapy of schizophrenia.
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Affiliation(s)
- Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, Łódź 92-213, Poland.
| | - Michał Podgórski
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Barlicki University Hospital No. 1, Łódź 90-153, Poland.
| | - Olga Kałużyńska
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, Łódź 92-213, Poland.
| | - Ludomir Stefańczyk
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Barlicki University Hospital No. 1, Łódź 90-153, Poland.
| | - Magdalena Kotlicka-Antczak
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, Łódź 92-213, Poland.
| | - Agnieszka Gmitrowicz
- Department of Adolescent Psychiatry, Medical University of Łódź, Central Clinical Hospital, Łódź 92-213, Poland.
| | - Piotr Grzelak
- Department of Radiology-Diagnostic Imaging, Medical University of Łódź, Barlicki University Hospital No. 1, Łódź 90-153, Poland.
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20
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Strzelecki D, Podgórski M, Kałużyńska O, Gawlik-Kotelnicka O, Stefańczyk L, Kotlicka-Antczak M, Gmitrowicz A, Grzelak P. Supplementation of antipsychotic treatment with sarcosine – GlyT1 inhibitor – causes changes of glutamatergic (1)NMR spectroscopy parameters in the left hippocampus in patients with stable schizophrenia. Neurosci Lett 2015; 606:7-12. [PMID: 26306650 DOI: 10.1016/j.neulet.2015.08.039] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Revised: 07/30/2015] [Accepted: 08/20/2015] [Indexed: 02/01/2023]
Abstract
Glutamatergic system, the main stimulating system of the brain, plays an important role in the pathogenesis of schizophrenia. Hippocampus, a structure crucial for memory and cognitive functions and rich in glutamatergic neurons, is a natural object of interest in studies on psychoses. Sarcosine, a glycine transporter (GlyT-1) inhibitor influences the function of NMDA receptor and glutamate-dependent transmission. The aim of the study was to assess the effects of sarcosine on metabolism parameters in the left hippocampus in patients with schizophrenia. Assessments were performed using proton nuclear magnetic resonance ((1)H NMR) spectroscopy (1.5T). Fifty patients diagnosed with schizophrenia (DSM-IV-TR), with dominant negative symptoms, in stable clinical condition and stable antipsychotics doses were treated either with sarcosine (n=25) or placebo (n=25). Spectroscopic parameters were evaluated within groups and between two groups before and after 6-month intervention. All patients were also assessed with the Positive and Negative Syndrome Scale (PANSS). In the sarcosine group, after 6-month treatment, we found significant decrease in hippocampal Glx/Cr (Glx-complex of glutamate, glutamine and GABA, Cr-creatine) and Glx/Cho (Cho-choline), while N-acetylaspartate (NAA), myo-inositol (mI), Cr and Cho parameters remained stable along the study and also did not differ significantly between both groups. This is the first study showing that a pharmacological intervention in schizophrenia, particularly augmentation of the antypsychotic treatment with sarcosine, may reverse the pathological increase in glutamatergic transmission in the hippocampus. The results confirm involvement of glutamatergic system in the pathogenesis of schizophrenia and demonstrate beneficial effects of GlyT-1 inhibitor on the metabolism in the hippocampus and symptoms of schizophrenia.
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Affiliation(s)
- Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, 92-213 Łódź, Poland.
| | - Michał Podgórski
- Department of Radiology and Diagnostic Imaging, Medical University of Łódź, Poland
| | - Olga Kałużyńska
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, 92-213 Łódź, Poland
| | - Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, 92-213 Łódź, Poland
| | - Ludomir Stefańczyk
- Department of Radiology and Diagnostic Imaging, Medical University of Łódź, Poland
| | - Magdalena Kotlicka-Antczak
- Department of Affective and Psychotic Disorders, Medical University of Łódź, Central Clinical Hospital, ul. Pomorska 251, 92-213 Łódź, Poland
| | | | - Piotr Grzelak
- Department of Radiology and Diagnostic Imaging, Medical University of Łódź, Poland
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21
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Höflich A, Hahn A, Küblböck M, Kranz GS, Vanicek T, Windischberger C, Saria A, Kasper S, Winkler D, Lanzenberger R. Ketamine-Induced Modulation of the Thalamo-Cortical Network in Healthy Volunteers As a Model for Schizophrenia. Int J Neuropsychopharmacol 2015; 18:pyv040. [PMID: 25896256 PMCID: PMC4576520 DOI: 10.1093/ijnp/pyv040] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 04/03/2015] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Schizophrenia has been associated with disturbances of thalamic functioning. In light of recent evidence suggesting a significant impact of the glutamatergic system on key symptoms of schizophrenia, we assessed whether modulation of the glutamatergic system via blockage of the N-methyl-D-aspartate (NMDA)-receptor might lead to changes of thalamic functional connectivity. METHODS Based on the ketamine model of psychosis, we investigated changes in cortico-thalamic functional connectivity by intravenous ketamine challenge during a 55-minute resting-state scan. Thirty healthy volunteers were measured with pharmacological functional magnetic resonance imaging using a double-blind, randomized, placebo-controlled, crossover design. RESULTS Functional connectivity analysis revealed significant ketamine-specific changes within the thalamus hub network, more precisely, an increase of cortico-thalamic connectivity of the somatosensory and temporal cortex. CONCLUSIONS Our results indicate that changes of thalamic functioning as described for schizophrenia can be partly mimicked by NMDA-receptor blockage. This adds substantial knowledge about the neurobiological mechanisms underlying the profound changes of perception and behavior during the application of NMDA-receptor antagonists.
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Affiliation(s)
- Anna Höflich
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Martin Küblböck
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Georg S Kranz
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Christian Windischberger
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Alois Saria
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Dietmar Winkler
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria)
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy (Drs Höflich, Hahn, Kranz, Vanicek, Kasper, Winkler, and Lanzenberger), and MR Center of Excellence and Center for Biomedical Engineering and Physics (Mr Küblböck and Dr Windischberger), Medical University of Vienna, Vienna, Austria; Experimental Psychiatry Unit, Center for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria (Dr Saria).
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22
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Abstract
Schizophrenia is a complex mental health disorder with positive, negative and cognitive symptom domains. Approximately one third of patients are resistant to currently available medication. New therapeutic targets and a better understanding of the basic biological processes that drive pathogenesis are needed in order to develop therapies that will improve quality of life for these patients. Several drugs that act on neurotransmitter systems in the brain have been suggested to model aspects of schizophrenia in animals and in man. In this paper, we selectively review findings from dopaminergic, glutamatergic, serotonergic, cannabinoid, GABA, cholinergic and kappa opioid pharmacological drug models to evaluate their similarity to schizophrenia. Understanding the interactions between these different neurotransmitter systems and their relationship with symptoms will be an important step towards building a coherent hypothesis for the pathogenesis of schizophrenia.
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Affiliation(s)
- Hannah Steeds
- Imperial College London, Division of Brain Sciences, Du Cane Road, London W12 0NN, UK
| | | | - James M Stone
- King's College London, Institute of Psychiatry Psychology and Neuroscience, De Crespigny Park, London SE5 8AF, UK, Imperial College London, Division of Brain Sciences, Du Cane Road, London W12 0NN, UK
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23
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Abstract
The glutamate and dopamine hypotheses are leading theories of the pathoaetiology of schizophrenia. Both were initially based on indirect evidence from pharmacological studies supported by post-mortem findings, but have since been substantially advanced by new lines of evidence from in vivo imaging studies. This review provides an update on the latest findings on dopamine and glutamate abnormalities in schizophrenia, focusing on in vivo neuroimaging studies in patients and clinical high-risk groups, and considers their implications for understanding the biology and treatment of schizophrenia. These findings have refined both the dopamine and glutamate hypotheses, enabling greater anatomical and functional specificity, and have been complemented by preclinical evidence showing how the risk factors for schizophrenia impact on the dopamine and glutamate systems. The implications of this new evidence for understanding the development and treatment of schizophrenia are considered, and the gaps in current knowledge highlighted. Finally, the evidence for an integrated model of the interactions between the glutamate and dopamine systems is reviewed, and future directions discussed.
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Affiliation(s)
- Oliver Howes
- Psychiatric Imaging, MRC Clinical Sciences Centre, Hammersmith Hospital, London, UK Institute of Psychiatry, King's College London, London, UK
| | - Rob McCutcheon
- Psychiatric Imaging, MRC Clinical Sciences Centre, Hammersmith Hospital, London, UK Institute of Psychiatry, King's College London, London, UK
| | - James Stone
- Psychiatric Imaging, MRC Clinical Sciences Centre, Hammersmith Hospital, London, UK Institute of Psychiatry, King's College London, London, UK
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24
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Hunter MA, Coffman BA, Gasparovic C, Calhoun VD, Trumbo MC, Clark VP. Baseline effects of transcranial direct current stimulation on glutamatergic neurotransmission and large-scale network connectivity. Brain Res 2015; 1594:92-107. [PMID: 25312829 PMCID: PMC4358793 DOI: 10.1016/j.brainres.2014.09.066] [Citation(s) in RCA: 95] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Revised: 09/11/2014] [Accepted: 09/28/2014] [Indexed: 01/01/2023]
Abstract
Transcranial direct current stimulation (tDCS) modulates glutamatergic neurotransmission and can be utilized as a novel treatment intervention for a multitude of populations. However, the exact mechanism by which tDCS modulates the brain׳s neural architecture, from the micro to macro scales, have yet to be investigated. Using a within-subjects design, resting-state functional magnetic resonance imaging (rs-fMRI) and proton magnetic resonance spectroscopy ((1)H MRS) were performed immediately before and after the administration of anodal tDCS over right parietal cortex. Group independent component analysis (ICA) was used to decompose fMRI scans into 75 brain networks, from which 12 resting-state networks were identified that had significant voxel-wise functional connectivity to anatomical regions of interest. (1)H MRS was used to obtain estimates of combined glutamate and glutamine (Glx) concentrations from bilateral intraparietal sulcus. Paired sample t-tests showed significantly increased Glx under the anodal electrode, but not in homologous regions of the contralateral hemisphere. Increases of within-network connectivity were observed within the superior parietal, inferior parietal, left frontal-parietal, salience and cerebellar intrinsic networks, and decreases in connectivity were observed in the anterior cingulate and the basal ganglia (p<0.05, FDR-corrected). Individual differences in Glx concentrations predicted network connectivity in most of these networks. The observed relationships between glutamatergic neurotransmission and network connectivity may be used to guide future tDCS protocols that aim to target and alter neuroplastic mechanisms in healthy individuals as well as those with psychiatric and neurologic disorders.
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Affiliation(s)
- Michael A Hunter
- Psychology Clinical Neuroscience Center, The University of New Mexico, Albuquerque, NM, USA; Department of Psychology, The University of New Mexico, NM, USA; The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, The University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Brian A Coffman
- Psychology Clinical Neuroscience Center, The University of New Mexico, Albuquerque, NM, USA; Department of Psychology, The University of New Mexico, NM, USA; The Mind Research Network, Albuquerque, NM, USA
| | | | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, The University of New Mexico School of Medicine, Albuquerque, NM, USA; Department of Neurosciences, The University of New Mexico, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USA
| | - Michael C Trumbo
- Psychology Clinical Neuroscience Center, The University of New Mexico, Albuquerque, NM, USA; Department of Psychology, The University of New Mexico, NM, USA; The Mind Research Network, Albuquerque, NM, USA
| | - Vincent P Clark
- Psychology Clinical Neuroscience Center, The University of New Mexico, Albuquerque, NM, USA; Department of Psychology, The University of New Mexico, NM, USA; The Mind Research Network, Albuquerque, NM, USA; Department of Neurosciences, The University of New Mexico, Albuquerque, NM, USA.
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25
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Schmitt A, Malchow B, Keeser D, Falkai P, Hasan A. Neurobiologie der Schizophrenie. DER NERVENARZT 2014; 86:324-6, 328-31. [DOI: 10.1007/s00115-014-4115-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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26
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Glutamatergic abnormalities in schizophrenia: a review of proton MRS findings. Schizophr Res 2014; 152:325-32. [PMID: 24418122 PMCID: PMC3951718 DOI: 10.1016/j.schres.2013.12.013] [Citation(s) in RCA: 126] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 12/16/2013] [Accepted: 12/18/2013] [Indexed: 01/13/2023]
Abstract
The last fifteen years have seen a great increase in our understanding of the role of glutamate in schizophrenia (SCZ). The glutamate hypothesis focuses on disturbances in brain glutamatergic pathways and impairment in signaling at glutamate receptors. Proton Magnetic Resonance Spectroscopy ((1)H-MRS) is an MR-based technique that affords investigators the ability to study glutamate function by measuring in vivo glutamatergic indices in the brains of individuals with SCZ. (1)H-MRS studies have been performed comparing glutamatergic levels of individuals with SCZ and healthy control subjects or studying the effect of antipsychotic medications on glutamatergic levels. In this article we summarize the results of these studies by brain region. We will review the contribution of (1)H-MRS studies to our knowledge about glutamatergic abnormalities in the brains of individuals with SCZ and discuss the implications for future research and clinical care.
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27
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Merritt K, McGuire P, Egerton A. Relationship between Glutamate Dysfunction and Symptoms and Cognitive Function in Psychosis. Front Psychiatry 2013; 4:151. [PMID: 24324444 PMCID: PMC3840324 DOI: 10.3389/fpsyt.2013.00151] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2013] [Accepted: 11/07/2013] [Indexed: 11/13/2022] Open
Abstract
The glutamate hypothesis of schizophrenia, proposed over two decades ago, originated following the observation that administration of drugs that block NMDA glutamate receptors, such as ketamine, could induce schizophrenia-like symptoms. Since then, this hypothesis has been extended to describe how glutamate abnormalities may disturb brain function and underpin psychotic symptoms and cognitive impairments. The glutamatergic system is now a major focus for the development of new compounds in schizophrenia. Relationships between regional brain glutamate function and symptom severity can be investigated using proton magnetic resonance spectroscopy (1H-MRS) to estimate levels of glutamatergic metabolites in vivo. Here we briefly review the 1H-MRS studies that have explored relationships between glutamatergic metabolites, symptoms, and cognitive function in clinical samples. While some of these studies suggest that more severe symptoms may be associated with elevated glutamatergic function in the anterior cingulate, studies in larger patient samples selected on the basis of symptom severity are required.
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Affiliation(s)
- Kate Merritt
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
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