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Zhang K, Wang C, Gou L, Li Y, Li C, Luo G, Zhang X. The Impact of Prolonged Duration of Untreated Illness on Clinical Correlates in Chronic Schizophrenia: Exploring the Relationship With Suicide Risk. Psychiatry Investig 2024; 21:422-432. [PMID: 38695050 PMCID: PMC11065522 DOI: 10.30773/pi.2023.0384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/12/2024] [Accepted: 02/14/2024] [Indexed: 05/04/2024] Open
Abstract
OBJECTIVE Studies on duration of untreated psychosis are common in patients with schizophrenia, but few studies have investigated the relationship between duration of untreated illness (DUI) and suicide, especially in patients with chronic schizophrenia. Therefore, we intended to investigate the relationship between DUI and suicide and clinical correlates in patients with chronic schizophrenia. METHODS A total of 1,555 Chinese patients with chronic schizophrenia were enrolled in this study. DUI was measured in years, reflecting the prolonged untreated periods observed in this population. Clinical correlates were assessed, including symptoms, cognitive functioning, and body mass index. Suicidal ideation and attempts were also examined. Statistical analyses, including multivariate models, were employed to investigate the associations between DUI and clinical correlates while controlling for potential confounders. RESULTS The study revealed a significant proportion (23.3%) of patients with chronic schizophrenia in China received their first treatment after a 4-year delay, with the longest untreated duration reaching 39 years. Patients with longer DUI exhibited more severe negative symptoms, lower immediate memory scores, a higher likelihood of being overweight, and surprisingly, a reduced likelihood of suicidal ideation and attempts. Each additional year of untreated illness was associated with a 3% decrease in the risk of suicidal ideation and attempts. CONCLUSION The findings underscore the prevalence of extended untreated periods in Chinese patients with chronic schizophrenia and highlight the impact of DUI on negative symptoms, cognitive function, and body weight. Intriguingly, a longer DUI was associated with a lower risk of suicidal ideation and attempts.
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Affiliation(s)
- Ke Zhang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Chenxi Wang
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, China
| | - Lei Gou
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yaxi Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cui Li
- Department of Civil Engineering, Nanjing Technical Vocational College, Nanjing, China
| | - Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xiangyang Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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2
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Instrella R, Juchem C. Uncertainty propagation in absolute metabolite quantification for in vivo MRS of the human brain. Magn Reson Med 2024; 91:1284-1300. [PMID: 38029371 PMCID: PMC11062627 DOI: 10.1002/mrm.29903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 09/27/2023] [Accepted: 10/06/2023] [Indexed: 12/01/2023]
Abstract
PURPOSE Absolute spectral quantification is the standard method for deriving estimates of the concentration from metabolite signals measured using in vivo proton MRS (1 H-MRS). This method is often reported with minimum variance estimators, specifically the Cramér-Rao lower bound (CRLB) of the metabolite signal amplitude's scaling factor from linear combination modeling. This value serves as a proxy for SD and is commonly reported in MRS experiments. Characterizing the uncertainty of absolute quantification, however, depends on more than simply the CRLB. The uncertainties of metabolite-specific (T1m , T2m ), reference-specific (T1ref , T2ref ), and sequence-specific (TR , TE ) parameters are generally ignored, potentially leading to an overestimation of precision. In this study, the propagation of uncertainty is used to derive a comprehensive estimate of the overall precision of concentrations from an internal reference. METHODS The propagated uncertainty is calculated using analytical derivations and Monte Carlo simulations and subsequently analyzed across a set of commonly measured metabolites and macromolecules. The effect of measurement error from experimentally obtained quantification parameters is estimated using published uncertainties and CRLBs from in vivo 1 H-MRS literature. RESULTS The additive effect of propagated measurement uncertainty from applied quantification correction factors can result in up to a fourfold increase in the concentration estimate's coefficient of variation compared to the CRLB alone. A case study analysis reveals similar multifold increases across both metabolites and macromolecules. CONCLUSION The precision of absolute metabolite concentrations derived from 1 H-MRS experiments is systematically overestimated if the uncertainties of commonly applied corrections are neglected as sources of error.
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Affiliation(s)
- Ronald Instrella
- Department of Biomedical Engineering, Columbia University,
New York, NY, USA
| | - Christoph Juchem
- Department of Biomedical Engineering, Columbia University,
New York, NY, USA
- Department of Radiology, Columbia University Irving Medical
Center, New York, NY, USA
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3
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Arumuham A, Nour MM, Veronese M, Beck K, Onwordi EC, Lythgoe DJ, Jauhar S, Rabiner EA, Howes OD. Histamine-3 Receptor Availability and Glutamate Levels in the Brain: A PET-1H-MRS Study of Patients With Schizophrenia and Healthy Controls. Int J Neuropsychopharmacol 2024; 27:pyae011. [PMID: 38373256 PMCID: PMC10946236 DOI: 10.1093/ijnp/pyae011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 02/16/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND The histamine-3 receptor (H3R) may have a role in cognitive processes through its action as a presynaptic heteroreceptor inhibiting the release of glutamate in the brain. To explore this, we examined anterior cingulate cortex (ACC) and striatum H3R availability in patients with schizophrenia and characterized their relationships with glutamate levels in corresponding brain regions. METHODS We employed a cross-sectional study, recruiting 12 patients with schizophrenia and 12 healthy volunteers. Participants underwent positron emission tomography using the H3R-specific radio ligand [11C]MK-8278, followed by proton magnetic resonance spectroscopy to measure glutamate levels, recorded as Glu and Glx. Based on existing literature, the ACC and striatum were selected as regions of interest. RESULTS We found significant inverse relationships between tracer uptake and Glu (r = -0.66, P = .02) and Glx (r = -0.62, P = .04) levels in the ACC of patients, which were absent in healthy volunteers (Glu: r = -0.19, P = .56, Glx: r = 0.10, P = .75). We also found a significant difference in striatal (F1,20 = 6.00, P = .02) and ACC (F1,19 = 4.75, P = .04) Glx levels between groups. CONCLUSIONS These results provide evidence of a regionally specific relationship between H3Rs and glutamate levels, which builds on existing preclinical literature. Our findings add to a growing literature indicating H3Rs may be a promising treatment target in schizophrenia, particularly for cognitive impairment, which has been associated with altered glutamate signaling.
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Affiliation(s)
- Atheeshaan Arumuham
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
- Psychiatric Imaging Group, Medical Research Council, London Institute of Medical Sciences, Hammersmith Hospital, London, UK
| | - Matthew M Nour
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Mattia Veronese
- Department of Information Engineering, University of Padua, Padua, Italy
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
- Psychiatric Imaging Group, Medical Research Council, London Institute of Medical Sciences, Hammersmith Hospital, London, UK
| | - Ellis Chika Onwordi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
- Psychiatric Imaging Group, Medical Research Council, London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Sameer Jauhar
- Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | | | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, De Crespigny Park, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
- Psychiatric Imaging Group, Medical Research Council, London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- H Lundbeck A/s, St Albans, UK
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4
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Caballero N, Machiraju S, Diomino A, Kennedy L, Kadivar A, Cadenhead KS. Recent Updates on Predicting Conversion in Youth at Clinical High Risk for Psychosis. Curr Psychiatry Rep 2023; 25:683-698. [PMID: 37755654 PMCID: PMC10654175 DOI: 10.1007/s11920-023-01456-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/05/2023] [Indexed: 09/28/2023]
Abstract
PURPOSE OF REVIEW This review highlights recent advances in the prediction and treatment of psychotic conversion. Over the past 25 years, research into the prodromal phase of psychotic illness has expanded with the promise of early identification of individuals at clinical high risk (CHR) for psychosis who are likely to convert to psychosis. RECENT FINDINGS Meta-analyses highlight conversion rates between 20 and 30% within 2-3 years using existing clinical criteria while research into more specific risk factors, biomarkers, and refinement of psychosis risk calculators has exploded, improving our ability to predict psychotic conversion with greater accuracy. Recent studies highlight risk factors and biomarkers likely to contribute to earlier identification and provide insight into neurodevelopmental abnormalities, CHR subtypes, and interventions that can target specific risk profiles linked to neural mechanisms. Ongoing initiatives that assess longer-term (> 5-10 years) outcome of CHR participants can provide valuable information about predictors of later conversion and diagnostic outcomes while large-scale international biomarker studies provide hope for precision intervention that will alter the course of early psychosis globally.
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Affiliation(s)
- Noe Caballero
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA
| | - Siddharth Machiraju
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA
| | - Anthony Diomino
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA
| | - Leda Kennedy
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA
| | - Armita Kadivar
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0810, USA.
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Santa C, Rodrigues D, Coelho JF, Anjo SI, Mendes VM, Bessa-Neto D, Dunn MJ, Cotter D, Baltazar G, Monteiro P, Manadas B. Chronic treatment with D2-antagonist haloperidol leads to inhibitory/excitatory imbalance in striatal D1-neurons. Transl Psychiatry 2023; 13:312. [PMID: 37803004 PMCID: PMC10558446 DOI: 10.1038/s41398-023-02609-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
Striatal dysfunction has been implicated in the pathophysiology of schizophrenia, a disorder characterized by positive symptoms such as hallucinations and delusions. Haloperidol is a typical antipsychotic medication used in the treatment of schizophrenia that is known to antagonize dopamine D2 receptors, which are abundantly expressed in the striatum. However, haloperidol's delayed therapeutic effect also suggests a mechanism of action that may go beyond the acute blocking of D2 receptors. Here, we performed proteomic analysis of striatum brain tissue and found more than 400 proteins significantly altered after 30 days of chronic haloperidol treatment in mice, namely proteins involved in glutamatergic and GABAergic synaptic transmission. Cell-type specific electrophysiological recordings further revealed that haloperidol not only reduces the excitability of striatal medium spiny neurons expressing dopamine D2 receptors (D2-MSNs) but also affects D1-MSNs by increasing the ratio of inhibitory/excitatory synaptic transmission (I/E ratio) specifically onto D1-MSNs but not D2-MSNs. Therefore, we propose the slow remodeling of D1-MSNs as a mechanism mediating the delayed therapeutic effect of haloperidol over striatum circuits. Understanding how haloperidol exactly contributes to treating schizophrenia symptoms may help to improve therapeutic outcomes and elucidate the molecular underpinnings of this disorder.
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Affiliation(s)
- Cátia Santa
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra, Portugal
- III - Institute of Interdisciplinary Research, University of Coimbra, 3030-789, Coimbra, Portugal
| | - Diana Rodrigues
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga/Guimaraes, Portugal
| | - Joana F Coelho
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Sandra I Anjo
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra, Portugal
| | - Vera M Mendes
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra, Portugal
| | - Diogo Bessa-Neto
- CICS-UBI - Health Sciences Research Centre, University of Beira Interior, Covilhã, Portugal
| | - Michael J Dunn
- Proteome Research Centre, UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, and Medical Sciences, University College Dublin, Dublin, Ireland
| | - David Cotter
- RCSI Psychiatry, Royal College of Surgeons in Ireland, Education and Research Centre Beaumont, Dublin, Ireland
| | - Graça Baltazar
- CICS-UBI - Health Sciences Research Centre, University of Beira Interior, Covilhã, Portugal
| | - Patrícia Monteiro
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
- ICVS/3B's-PT Government Associate Laboratory, Braga/Guimaraes, Portugal.
- Department of Biomedicine, Faculty of Medicine, University of Porto, 4200-319, Porto, Portugal.
| | - Bruno Manadas
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra, Portugal.
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Farmer CB, Roach EL, Bice LR, Falgout ME, Mata KG, Roche JK, Roberts RC. Excitatory and inhibitory imbalances in the trisynaptic pathway in the hippocampus in schizophrenia: a postmortem ultrastructural study. J Neural Transm (Vienna) 2023; 130:949-965. [PMID: 37193867 DOI: 10.1007/s00702-023-02650-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/05/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND A preponderance of evidence suggests that the hippocampus is a key region of dysfunction in schizophrenia. Neuroimaging and other studies indicate a relationship between hippocampal dysfunction and the degree of psychosis. Clinical data indicate hyperactivity in the hippocampus that precedes the onset of psychosis, and is correlated with symptom severity. In this study, we sought to identify circuitry at the electron microscopic level that could contribute to region-specific imbalances in excitation and inhibition in the hippocampus in schizophrenia. We used postmortem tissue from the anterior hippocampus from patients with schizophrenia and matched controls. Using stereological techniques, we counted and measured synapses, postsynaptic densities (PSDs), and evaluated size, number and optical density of mitochondria and parvalbumin-containing interneurons in key nodes of the trisynaptic pathway. Compared to controls, the schizophrenia group had decreased numbers of inhibitory synapses in CA3 and increased numbers of excitatory synapses in CA1; together, this indicates deficits in inhibition and an increase in excitation. The thickness of the PSD was larger in excitatory synapses in CA1, suggesting greater synaptic strength. In the schizophrenia group, there were fewer mitochondria in the dentate gyrus and a decrease in the optical density, a measure of functional integrity, in CA1. The number and optical density of parvalbumin interneurons were lower in CA3. The results suggest region-specific increases in excitatory circuitry, decreases in inhibitory neurotransmission and fewer or damaged mitochondria. These results are consistent with the hyperactivity observed in the hippocampus in schizophrenia in previous studies.
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Affiliation(s)
- Charlene B Farmer
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Erica L Roach
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Lily R Bice
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Madeleine E Falgout
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Kattia G Mata
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Joy K Roche
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Rosalinda C Roberts
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA.
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7
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Chen X, Song X, Öngür D, Du F. Association of default-mode network neurotransmitters and inter-network functional connectivity in first episode psychosis. Neuropsychopharmacology 2023; 48:781-788. [PMID: 36788375 PMCID: PMC10066209 DOI: 10.1038/s41386-023-01546-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/16/2023]
Abstract
Multiple psychiatric disorders are characterized by a failure to suppress default-mode network (DMN) activity during tasks and by weaker anti-correlations between DMN and other brain networks at rest. However, the cellular and molecular mechanisms underlying this phenomenon are poorly understood. At the cellular level, neuronal activity is regulated by multiple neurochemical processes including cycling of glutamate and GABA, the major excitatory and inhibitory neurotransmitters in brain. By combining functional MRI and magnetic resonance spectroscopy techniques, it has been shown that the neurotransmitter concentrations in DMN modulate not only functional activity during cognitive tasks, but also the functional connectivity between DMN and other brain networks such as frontoparietal executive control network (CN) at rest in the healthy brain. In the current study, we extend previous research to first episode psychosis (FEP) patients and their relatives. We detected higher glutamate (Glu) levels in the medial prefrontal cortex (MPFC) in FEP compared to healthy controls without a significant difference in GABA. We also observed a significantly lower functional anti-correlated connectivity between critical nodes within the DMN (MPFC) and CN (DLPFC) in FEP. Furthermore, the relationship between MPFC Glu and GABA concentrations and the functional anti-correlation that is seen in healthy people was absent in FEP patients. These findings imply that both the DMN Glu level and the interaction between DMN and CN are affected by the illness, as is the association between neurochemistry and functional connectivity. A better understanding of this observation could provide opportunities for developing novel treatment strategies for psychosis.
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Affiliation(s)
- Xi Chen
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Xiaopeng Song
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
- Wuhan Zhongke Industrial Research Institute of Medical Science, Wuhan, Hubei, 430075, China
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
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8
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Roberts D, Rösler L, Wijnen JP, Thakkar KN. Associations between N-Acetylaspartate and white matter integrity in individuals with schizophrenia and unaffected relatives. Psychiatry Res Neuroimaging 2023; 330:111612. [PMID: 36805928 PMCID: PMC10023491 DOI: 10.1016/j.pscychresns.2023.111612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 01/27/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
Compromised white matter has been reported in schizophrenia; however, few studies have investigated neurochemical abnormalities underlying microstructural differences. N-acetylaspartate (NAA) is used to synthesize myelin and is often reduced in persons with schizophrenia (PSZ) and their unaffected first-degree relatives (REL). Low levels of NAA could affect white matter by preventing the synthesis or repair of myelin. We used magnetic resonance spectroscopy and diffusion tensor imaging to investigate the relationship between NAA and white matter integrity in PSZ. REL were included to examine whether putative relationships are associated with symptom expression or illness liability. 52 controls, 23 REL and 25 PSZ underwent 7T proton magnetic resonance spectroscopy and/or 3T diffusion tensor imaging. NAA in the visual cortex and basal ganglia were measured and compared across groups. Diffusivity measures were compared across groups using tract-based spatial statistics and related to NAA concentrations. Visual cortex NAA was significantly reduced in PSZ compared to controls. White matter integrity did not differ between groups. Reduced cortical and subcortical NAA were associated with diffusivity measures of poor white matter microstructure. These data suggest that levels of neural NAA may be related to white matter integrity similarly across individuals with schizophrenia, those at genetic risk, and controls.
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Affiliation(s)
- Dominic Roberts
- Department of Psychology, Michigan State University, East Lansing, MI, United States
| | - Lara Rösler
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jannie P Wijnen
- Department of Radiology, High Field MR Research, Centre for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, United States; Department of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, Michigan, United States.
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9
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Luo G, Li Y, Yao C, Li M, Li J, Zhang X. Duration of untreated illness and clinical correlates in first-episode and drug-naïve patients with major depressive disorder. Psychiatry Res 2023; 320:115056. [PMID: 36680911 DOI: 10.1016/j.psychres.2023.115056] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/28/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUNDS The notion that a prolonged duration of untreated illness (DUI) leads to poorer outcomes has contributed to extensive changes in mental health services worldwide. However, most studies on DUI have focused on schizophrenia and related psychosis. This study aimed to assess the possible relationship between DUI and certain clinical correlates in first-episode and drug-naïve patients with major depressive disorder (MDD). METHODS This cross-sectional study recruited 1718 first-episode and drug-naïve MDD outpatients. All participants were scored on the Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, Positive and Negative Syndrome Scale, and thyroid hormone and metabolic parameters were measured. We used the Structure Clinical Interview for DSM-IV for clinical diagnosis and investigated suicide attempts through face-to-face interviews. RESULTS A total of 171 (10%) of MDD patients had co-morbid psychiatric symptoms. Participants who were older, with lower education level, and married were less likely to seek a timely treatment compared to the counterparts. One-month longer untreated duration was associated with 2% to 9% higher odds of being with most of the investigated clinical conditions. For those with the longest DUI, the risk was increased for most of the investigated clinical conditions, with absolute risk differences ranging from 5.19% to 29.48%. CONCLUSIONS These findings suggest that longer DUI may be negatively associated with clinical correlates in MDD. Further long-term follow-up studies are warranted to confirm these preliminary results.
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Affiliation(s)
- Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin 300222, China
| | - Yaxi Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 3210 Humin Rd, Shanghai 201108, China
| | - Cong Yao
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin 300222, China
| | - Meijuan Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin 300222, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin 300222, China.
| | - Xiangyang Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China.
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10
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Petty A, Howes O, Eyles D. Animal Models of Relevance to the Schizophrenia Prodrome. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:22-32. [PMID: 36712558 PMCID: PMC9874082 DOI: 10.1016/j.bpsgos.2021.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 02/01/2023] Open
Abstract
Patients with schizophrenia often undergo a prodromal phase prior to diagnosis. Given the absence of significant therapeutic improvements, attention has recently shifted to the possibility of intervention during this early stage to delay or diminish symptom severity or even prevent onset. Unfortunately, the 20 or so trials of intervention to date have not been successful in either preventing onset or improving long-term outcomes in subjects who are at risk of developing schizophrenia. One reason may be that the biological pathways an effective intervention must target are not static. The prodromal phase typically occurs during late adolescence, a period during which a number of brain circuits and structures are still maturing. We propose that developing a deeper understanding of which circuits/processes and brain structures are still maturing at this time and which processes drive the transition to schizophrenia will take us a step closer to developing better prophylactic interventions. Fortunately, such knowledge is now emerging from clinical studies, complemented by work in animal models. Our task here is to describe what would constitute an appropriate animal model to study and to potentially intervene in such processes. Such a model would allow invasive analysis of the cellular and molecular substrates of the progressive neurobiology that defines the schizophrenia prodrome and hopefully offer valuable insights into potential prophylactic targets.
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Affiliation(s)
- Alice Petty
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | | | - Darryl Eyles
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.,Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
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11
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Investigating the effects of antipsychotics on brain insulin action: Study protocol for a multi-modality magnetic resonance imaging (MRI) study in healthy controls. PLoS One 2022; 17:e0277211. [PMID: 36441736 PMCID: PMC9704670 DOI: 10.1371/journal.pone.0277211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 11/29/2022] Open
Abstract
Antipsychotics (APs) are the cornerstone of treatment for schizophrenia (SCZ) but are unfortunately associated with serious metabolic adverse effects including weight gain and type 2 diabetes. The pathophysiology of AP-induced metabolic dysfunction is largely undetermined. Brain insulin resistance has been posited to be at the cross-roads of many cognitive and metabolic disorders, and disruption of central insulin action has emerged as a possible explanatory mechanism underlying AP induced metabolic dysfunction. Previous studies suggest that change in neuroimaging-based parameters with intranasal insulin administration can be leveraged to investigate brain insulin resistance. In this proof-of-concept study, we will utilize neural signatures of insulin action in the brain to examine if APs disrupt brain insulin signaling. It is hypothesized that: 1) intranasal insulin (INI), but not intranasal placebo (INP), will change cerebral blood flow and resting state connectivity, as well as increase glutamate levels in the striatum and dorsolateral prefrontal cortex; 2) oral olanzapine (OLA), but not oral placebo (PL), will inhibit the effect of INI on these parameters. Thirty-two healthy volunteers will undergo a single blind, cross-over design, wherein all participants receive the following four treatment combinations, 2-6 weeks apart, in a random sequence: INP + PL, INP + OLA, INI + PL, and INI + OLA. Participants will undergo an MRI-based assay of brain insulin resistance 15 minutes after administering 160 IU INI or INP. The scanning protocol includes resting and task-based functional MRI, arterial spin labelling, and proton magnetic resonance spectroscopy. Demonstrating that OLA can acutely induce brain insulin resistance is clinically relevant to metabolic health in SCZ. Evidence of brain insulin resistance induced by acute AP dosing can inform the early use of adjunctive insulin sensitizers for the treatment of metabolic comorbidities associated with AP treatment in severe mental illness. Trial registration ClinicalTrials.gov Registration: NCT03741478.
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12
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León-Ortiz P, Reyes-Madrigal F, Kochunov P, Gómez-Cruz G, Moncada-Habib T, Malacara M, Mora-Durán R, Rowland LM, de la Fuente-Sandoval C. White matter alterations and the conversion to psychosis: A combined diffusion tensor imaging and glutamate 1H MRS study. Schizophr Res 2022; 249:85-92. [PMID: 32595100 PMCID: PMC10025976 DOI: 10.1016/j.schres.2020.06.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/08/2020] [Accepted: 06/10/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION Widespread white matter abnormalities and alterations in glutamate levels have been reported in patients with schizophrenia. We hypothesized that alterations in white matter integrity and glutamate levels in individuals at clinical high risk (CHR) for psychosis are associated with the subsequent development of psychosis. METHODS Participants included 33 antipsychotic naïve CHR (Female 7/Male 26, Age 19.55 (4.14) years) and 38 healthy controls (Female 10/Male 28, Age 20.92 (3.37) years). Whole brain diffusion tensor imaging for fractional anisotropy (FA) and right frontal white matter proton magnetic resonance spectroscopy for glutamate levels were acquired. CHR participants were clinically followed for 2 years to determine conversion to psychosis. RESULTS CHR participants that transitioned to psychosis (N = 7, 21%) were characterized by significantly lower FA values in the posterior thalamic radiation compared to those who did not transition and healthy controls. In the CHR group that transitioned to psychosis only, positive exploratory correlations between glutamate levels and FA values of the posterior thalamic radiation and the retrolenticular part of the internal capsule and a negative correlation between glutamate levels and the cingulum FA values were found. CONCLUSION The results of the present study highlight that alterations in white matter structure and glutamate are related with the conversion to psychosis.
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Affiliation(s)
- Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Department of Education, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, United States of America
| | - Gladys Gómez-Cruz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Tomás Moncada-Habib
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Melanie Malacara
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Ricardo Mora-Durán
- Emergency Department, Hospital Fray Bernardino Álvarez, Mexico City, Mexico
| | - Laura M Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, United States of America
| | - 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.
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13
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Roberts RC, McCollum LA, Schoonover KE, Mabry SJ, Roche JK, Lahti AC. Ultrastructural evidence for glutamatergic dysregulation in schizophrenia. Schizophr Res 2022; 249:4-15. [PMID: 32014360 PMCID: PMC7392793 DOI: 10.1016/j.schres.2020.01.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/16/2020] [Accepted: 01/18/2020] [Indexed: 12/14/2022]
Abstract
The aim of this paper is to summarize ultrastructural evidence for glutamatergic dysregulation in several linked regions in postmortem schizophrenia brain. Following a brief summary of glutamate circuitry and how synapses are identified at the electron microscopic (EM) level, we will review EM pathology in the cortex and basal ganglia. We will include the effects of antipsychotic drugs and the relation of treatment response. We will discuss how these findings support or confirm other postmortem findings as well as imaging results. Briefly, synaptic and mitochondrial density in anterior cingulate cortex was decreased in schizophrenia, versus normal controls (NCs), in a selective layer specific pattern. In dorsal striatum, increases in excitatory synaptic density were detected in caudate matrix, a compartment associated with cognitive and motor function, and in the putamen patches, a region associated with limbic function and in the core of the nucleus accumbens. Patients who were treatment resistant or untreated had significantly elevated numbers of excitatory synapses in limbic striatal areas in comparison to NCs and responders. Protein levels of vGLUT2, found in subcortical glutamatergic neurons, were increased in the nucleus accumbens in schizophrenia. At the EM level, schizophrenia subjects had an increase in density of excitatory synapses in several areas of the basal ganglia. In the substantia nigra, the protein levels of vGLUT2 were elevated in untreated patients compared to NCs. The density of inhibitory synapses was decreased in schizophrenia versus NCs. In schizophrenia, glutamatergic synapses are differentially affected depending on the brain region, treatment status, and treatment response.
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Affiliation(s)
- Rosalinda C Roberts
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America.
| | - Lesley A McCollum
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America
| | - Kirsten E Schoonover
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America
| | - Samuel J Mabry
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America
| | - Joy K Roche
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama, Birmingham, AL 35294, United States of America
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14
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Mizoguchi T, Fujimori H, Ohba T, Shimazawa M, Nakamura S, Shinohara M, Hara H. Glutamatergic dysfunction is associated with phenotypes of VGF-overexpressing mice. Exp Brain Res 2022; 240:2051-2060. [PMID: 35587282 DOI: 10.1007/s00221-022-06384-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/04/2022] [Indexed: 11/04/2022]
Abstract
VGF nerve growth factor inducible (VGF) is a neuropeptide precursor, which is induced by several neurotrophic factors, including nerve growth factor and brain-derived neurotrophic factor. Clinically, an upregulation of VGF levels has been reported in the cerebrospinal fluid and prefrontal cortex of patients with schizophrenia. In our previous study, mice overexpressing VGF exhibited schizophrenia-related behaviors. In the current study, we characterized the biochemical changes in the brains of VGF-overexpressing mice. Metabolomics analysis of neurotransmitters revealed that glutamic acid and N-acetyl-L-aspartic acid were increased in the striatum of VGF-overexpressing mice. Additionally, the present study revealed that MK-801, which causes the disturbance in glutamic acid metabolism, increased the expression level of VGF-derived peptide (NAPP129, named VGF20), and VGF-overexpressing mice had higher sensitivity to MK-801. These results suggest that VGF may modulate the regulation of glutamic acid levels and the degree of glutamic acid signaling.
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Affiliation(s)
- Takahiro Mizoguchi
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan
| | - Honoka Fujimori
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan
| | - Takuya Ohba
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan
| | - Masamitsu Shimazawa
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan.
| | - Shinsuke Nakamura
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan
| | - Masakazu Shinohara
- The Integrated Center for Mass Spectrometry, Kobe University Graduate School of Medicine, Kobe, Japan.,Division of Epidemiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hideaki Hara
- Molecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196, Japan
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15
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Capellán R, Moreno-Fernández M, Orihuel J, Roura-Martínez D, Ucha M, Ambrosio E, Higuera-Matas A. Ex vivo 1H-MRS brain metabolic profiling in a two-hit model of neurodevelopmental disorders: Prenatal immune activation and peripubertal stress. Schizophr Res 2022; 243:232-240. [PMID: 31787482 DOI: 10.1016/j.schres.2019.11.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 09/28/2019] [Accepted: 11/04/2019] [Indexed: 01/21/2023]
Abstract
Prenatal infections are environmental risk factors for neurodevelopmental disorders. In addition, traumatic experiences during adolescence in individuals exposed to infections during gestation could increase the risk of schizophrenia. It is of the most crucial importance to discover potential markers of the disease in its early stages or before its onset, so that therapeutic strategies may be implemented. In the present study, we combined a proposed two-hit model of schizophrenia-related symptoms with proton magnetic resonance spectroscopy (1H-MRS) to discover potential biomarkers. To this end, we i.p. injected 100 μg/kg/ml of lipopolysaccharide (LPS) or saline on gestational days 15 and 16 to pregnant rats. Their male offspring were then subjected to five episodes of stress or handling on alternate days during postnatal days (PND) 28-38. Once the animals reached adulthood (PND70), we evaluated prepulse inhibition (PPI). At PND90, we performed an ex vivo 1H-MRS study in the cortex and striatum. While we did not detect alterations in PPI at the age tested, we found neurochemical disturbances induced by LPS, stress or (more interestingly) their interaction. LPS decreased glucose levels in the cortex and striatum and altered glutamate, glutamine and N-acetylaspartate levels. Glutamate and glutamine levels in the left (but not right) striatum were differentially affected by prenatal LPS exposure in a manner that depended on stress experiences. These results suggest that alterations in the glutamate cycle in the striatum could be used as early markers of developmental disorders.
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Affiliation(s)
- Roberto Capellán
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Mario Moreno-Fernández
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Javier Orihuel
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - David Roura-Martínez
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Marcos Ucha
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain
| | - Emilio Ambrosio
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain.
| | - Alejandro Higuera-Matas
- Department of Psychobiology, School of Psychology, National University for Distance Education (UNED), C/Juan del Rosal 10, Madrid, Spain.
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16
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Bissonnette JN, Francis AM, MacNeil S, Crocker CE, Tibbo PG, Fisher DJ. Glutamate and N-Acetylaspartate Alterations Observed in Early Phase Psychosis: A Systematic Review of Proton Magnetic Resonance Spectroscopy Studies. Psychiatry Res Neuroimaging 2022; 321:111459. [PMID: 35183897 DOI: 10.1016/j.pscychresns.2022.111459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 02/03/2022] [Accepted: 02/07/2022] [Indexed: 11/27/2022]
Abstract
Glutamate and N-acetylaspartate have been investigated in the neuropathology of chronic schizophrenia, with fewer studies focusing on early phase psychosis. Additionally, there has been little review and synthesis of the literature focused on multiple brain regions. This systematic review aims to provide a clear report of the current state of research on glutamate and n-acetylaspartate concentrations in early phase psychosis (defined as the first five years following psychosis onset) in multiple brain regions. Existing literature was searched systematically to compile reports of glutamate/glutamate+glutamine (Glx) and n-acetylaspartate absolute levels and ratios in both male and female individuals with early phase psychosis. Reports on glutamate/Glx concentrations in the medial prefrontal region and thalamus were varied, but the majority of reports suggested no alterations in EPP. No studies reported glutamate alterations in the hippocampus or cerebellum. There was no evidence for n-acetylaspartate alterations in the caudate, basal ganglia, and medial prefrontal cortex, and minimal evidence for NAA reductions in the thalamus, anterior cingulate cortex, and hippocampus. Future research should focus on the regions that are less commonly reported, and should aim to explore possible confounds, such as medication status and substance use.
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Affiliation(s)
- J N Bissonnette
- Department of Psychiatry, Dalhousie University, Halifax, NS.
| | - A M Francis
- Department of Psychology, Saint Mary's University, Halifax, NS.
| | - S MacNeil
- Department of Psychology, Mount Saint Vincent University, Halifax, NS.
| | - C E Crocker
- Department of Psychiatry, Dalhousie University, Halifax, NS; Nova Scotia Early Psychosis Program, Halifax, NS; Department of Diagnostic Imaging, Dalhousie University, Halifax, NS.
| | - P G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS; Nova Scotia Early Psychosis Program, Halifax, NS.
| | - D J Fisher
- Department of Psychiatry, Dalhousie University, Halifax, NS; Department of Psychology, Saint Mary's University, Halifax, NS; Department of Psychology, Mount Saint Vincent University, Halifax, NS.
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17
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Reyes-Madrigal F, Guma E, León-Ortiz P, Gómez-Cruz G, Mora-Durán R, Graff-Guerrero A, Kegeles LS, Chakravarty MM, de la Fuente-Sandoval C. Striatal glutamate, subcortical structure and clinical response to first-line treatment in first-episode psychosis patients. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110473. [PMID: 34748864 PMCID: PMC8643337 DOI: 10.1016/j.pnpbp.2021.110473] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Recent studies have observed that patients with treatment-resistant schizophrenia as well as patients with schizophrenia who do not respond within a medication trial exhibit excess activity of the glutamate system. In this study we sought to replicate the within-trial glutamate abnormality and to investigate the potential for structural differences and treatment-induced changes to improve identification of medication responders and non-responders. METHODS We enrolled 48 medication-naïve patients in a 4-week trial of risperidone and classified them retrospectively into responders and non-responders using clinical criteria. Proton magnetic resonance spectroscopy and T1-weighted structural MRI were acquired pre- and post-treatment to quantify striatal glutamate levels and several measures of subcortical brain structure. RESULTS Patients were classified as 29 responders and 19 non-responders. Striatal glutamate was higher in the non-responders than responders both pre- and post-treatment (F1,39 = 7.15, p = .01). Volumetric measures showed a significant group x time interaction (t = 5.163, <1%FDR), and group x time x glutamate interaction (t = 4.23, <15%FDR) were seen in several brain regions. Striatal volumes increased at trend level with treatment in both groups, and a positive association of striatal volumes with glutamate levels was seen in the non-responders. CONCLUSIONS Combining anatomic measures with glutamate levels offers the potential to enhance classification of responders and non-responders to antipsychotic medications as well as to provide mechanistic understanding of the interplay between neuroanatomical and neurochemical changes induced by these medications. Ethical statement The study was approved by the Ethics and Scientific committees of the Instituto Nacional de Neurología y Neurocirugía in Mexico City. All participants over 18 years fully understood and signed the informed consent; in case the patient was under 18 years, informed consent was obtained from both parents. Participants did not receive a stipend.
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Affiliation(s)
- Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Elisa Guma
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Computational Brain Anatomy (CoBrA) Lab, Cerebral Imaging Centre, Douglas Research Centre, Montreal, QC, Canada
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Gladys Gómez-Cruz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Ricardo Mora-Durán
- Emergency Department, Hospital Fray Bernardino Álvarez, Mexico City, Mexico
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Lawrence S Kegeles
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, USA
| | - M Mallar Chakravarty
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Computational Brain Anatomy (CoBrA) Lab, Cerebral Imaging Centre, Douglas Research Centre, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - 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.
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18
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Howells FM, Hsieh JH, Temmingh HS, Baldwin DS, Stein DJ. Capacity for cortical excitation is reduced in psychotic disorders: An investigation of the TMS-EMG cortical silent period. Schizophr Res 2022; 240:73-77. [PMID: 34968895 DOI: 10.1016/j.schres.2021.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 12/07/2021] [Accepted: 12/09/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Fleur M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, South Africa.
| | - Jennifer H Hsieh
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; Valkenberg Hospital, Cape Town, Western Cape Province, South Africa
| | - David S Baldwin
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, United Kingdom
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, South Africa; Neuroscience Institute, Faculty of Health Sciences, University of Cape Town, South Africa; SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, South Africa
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19
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Grent-'t-Jong T, Gajwani R, Gross J, Gumley AI, Lawrie SM, Schwannauer M, Schultze-Lutter F, Williams SR, Uhlhaas PJ. MR-Spectroscopy of GABA and Glutamate/Glutamine Concentrations in Auditory Cortex in Clinical High-Risk for Psychosis Individuals. Front Psychiatry 2022; 13:859322. [PMID: 35422722 PMCID: PMC9002006 DOI: 10.3389/fpsyt.2022.859322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/21/2022] [Indexed: 11/28/2022] Open
Abstract
Psychosis involves changes in GABAergic and glutamatergic neurotransmission in auditory cortex that could be important for understanding sensory deficits and symptoms of psychosis. However, it is currently unclear whether such deficits are present in participants at clinical high-risk for psychosis (CHR-P) and whether they are associated with clinical outcomes. Magnetic Resonance Spectroscopy (MEGAPRESS, 1H-MRS at 3 Tesla) was used to estimate GABA, glutamate, and glutamate-plus-glutamine (Glx) levels in auditory cortex in a large sample of CHR-P (n = 99), CHR-N (clinical high-risk negative, n = 32), and 45 healthy controls. Examined were group differences in metabolite concentrations as well as relationships with clinical symptoms, general cognition, and 1-year follow-up clinical and general functioning in the CHR-P group. Results showed a marginal (p = 0.039) main group effect only for Glx, but not for GABA and glutamate concentrations, and only in left, not right, auditory cortex. This effect did not survive multiple comparison correction, however. Exploratory post-hoc tests revealed that there were significantly lower Glx levels (p = 0.029, uncorrected) in the CHR-P compared to the CHR-N group, but not relative to healthy controls (p = 0.058, uncorrected). Glx levels correlated with the severity of perceptual abnormalities and disorganized speech scores. However, in the CHR-P group, Glx levels did not predict clinical or functional outcomes. Accordingly, the findings from the present study suggest that MRS-measured GABA, glutamate and Glx levels in auditory cortex of CHR-P individuals are largely intact.
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Affiliation(s)
- Tineke Grent-'t-Jong
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom.,Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ruchika Gajwani
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Joachim Gross
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom.,Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany
| | - Andrew I Gumley
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Matthias Schwannauer
- Department of Clinical Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.,Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia.,University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Stephen R Williams
- Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom.,Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
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20
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Glutamatergic and GABAergic metabolite levels in schizophrenia-spectrum disorders: a meta-analysis of 1H-magnetic resonance spectroscopy studies. Mol Psychiatry 2022; 27:744-757. [PMID: 34584230 DOI: 10.1038/s41380-021-01297-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 08/18/2021] [Accepted: 09/08/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND The glutamate (Glu) and gamma aminobutyric acid (GABA) hypotheses of schizophrenia were proposed in the 1980s. However, current findings on those metabolite levels in schizophrenia have been inconsistent, and the relationship between their abnormalities and the pathophysiology of schizophrenia remains unclear. To summarize the nature of the alterations of glutamatergic and GABAergic systems in schizophrenia, we conducted meta-analyses of proton magnetic resonance spectroscopy (1H-MRS) studies examining these metabolite levels. METHODS A systematic literature search was conducted using Embase, Medline, PsycINFO, and PubMed. Original studies that compared four metabolite levels (Glu, glutamine [Gln], Glx [Glu+Gln], and GABA), as measured by 1H-MRS, between individuals at high risk for psychosis, patients with first-episode psychosis, or patients with schizophrenia and healthy controls (HC) were included. A random-effects model was used to calculate the effect sizes for group differences in these metabolite levels of 18 regions of interest between the whole group or schizophrenia group and HC. Subgroup analysis and meta-regression were performed based on the status of antipsychotic treatment, illness stage, treatment resistance, and magnetic field strength. RESULTS One-hundred-thirty-four studies met the eligibility criteria, totaling 7993 participants with SZ-spectrum disorders and 8744 HC. 14 out of 18 ROIs had enough numbers of studies to examine the group difference in the metabolite levels. In the whole group, Glx levels in the basal ganglia (g = 0.32; 95% CIs: 0.18-0.45) were elevated. Subgroup analyses showed elevated Glx levels in the hippocampus (g = 0.47; 95% CIs: 0.21-0.73) and dorsolateral prefrontal cortex (g = 0.25; 95% CIs: 0.05-0.44) in unmedicated patients than HC. GABA levels in the MCC were decreased in the first-episode psychosis group compared with HC (g = -0.40; 95% CIs: -0.62 to -0.17). Treatment-resistant schizophrenia (TRS) group had elevated Glx and Glu levels in the MCC (Glx: g = 0.7; 95% CIs: 0.38-1.01; Glu: g = 0.63; 95% CIs: 0.31-0.94) while MCC Glu levels were decreased in the patient group except TRS (g = -0.17; 95% CIs: -0.33 to -0.01). CONCLUSIONS Increased glutamatergic metabolite levels and reduced GABA levels indicate that the disruption of excitatory/inhibitory balance may be related to the pathophysiology of schizophrenia-spectrum disorders.
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21
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Westhoff MLS, Ladwig J, Heck J, Schülke R, Groh A, Deest M, Bleich S, Frieling H, Jahn K. Early Detection and Prevention of Schizophrenic Psychosis-A Review. Brain Sci 2021; 12:11. [PMID: 35053755 PMCID: PMC8774083 DOI: 10.3390/brainsci12010011] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/16/2021] [Accepted: 12/20/2021] [Indexed: 01/04/2023] Open
Abstract
Psychotic disorders often run a chronic course and are associated with a considerable emotional and social impact for patients and their relatives. Therefore, early recognition, combined with the possibility of preventive intervention, is urgently warranted since the duration of untreated psychosis (DUP) significantly determines the further course of the disease. In addition to established diagnostic tools, neurobiological factors in the development of schizophrenic psychoses are increasingly being investigated. It is shown that numerous molecular alterations already exist before the clinical onset of the disease. As schizophrenic psychoses are not elicited by a single mutation in the deoxyribonucleic acid (DNA) sequence, epigenetics likely constitute the missing link between environmental influences and disease development and could potentially serve as a biomarker. The results from transcriptomic and proteomic studies point to a dysregulated immune system, likely evoked by epigenetic alterations. Despite the increasing knowledge of the neurobiological mechanisms involved in the development of psychotic disorders, further research efforts with large population-based study designs are needed to identify suitable biomarkers. In conclusion, a combination of blood examinations, functional imaging techniques, electroencephalography (EEG) investigations and polygenic risk scores should be considered as the basis for predicting how subjects will transition into manifest psychosis.
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Affiliation(s)
- Martin Lennart Schulze Westhoff
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Johannes Ladwig
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Johannes Heck
- Institute for Clinical Pharmacology, Hannover Medical School, D-30625 Hannover, Germany;
| | - Rasmus Schülke
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Adrian Groh
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Maximilian Deest
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Stefan Bleich
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Helge Frieling
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
| | - Kirsten Jahn
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, D-30625 Hannover, Germany; (J.L.); (R.S.); (A.G.); (M.D.); (S.B.); (H.F.); (K.J.)
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22
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Blaylock RL, Faria M. New concepts in the development of schizophrenia, autism spectrum disorders, and degenerative brain diseases based on chronic inflammation: A working hypothesis from continued advances in neuroscience research. Surg Neurol Int 2021; 12:556. [PMID: 34877042 PMCID: PMC8645502 DOI: 10.25259/sni_1007_2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 12/14/2022] Open
Abstract
This paper was written prompted by a poignant film about adolescent girl with schizophrenia who babysits for a younger girl in an isolated cabin. Schizophrenia is an illness that both authors are fascinated with and that they continue to study and investigate. There is now compelling evidence that schizophrenia is a very complex syndrome that involves numerous neural pathways in the brain, far more than just dopaminergic and serotonergic systems. One of the more popular theories in recent literature is that it represents a hypo glutaminergic deficiency of certain pathways, including thalamic ones. After much review of research and study in this area, we have concluded that most such theories contain a number of shortcomings. Most are based on clinical responses to certain drugs, particularly antipsychotic drugs affecting the dopaminergic neurotransmitters; thus, assuming dopamine release was the central cause of the psychotic symptoms of schizophrenia. The theory was limited in that dopamine excess could only explain the positive symptoms of the disorder. Antipsychotic medications have minimal effectiveness for the negative and cognitive symptoms associated with schizophrenia. It has been estimated that 20–30% of patients show either a partial or no response to antipsychotic medications. In addition, the dopamine hypothesis does not explain the neuroanatomic findings in schizophrenia.
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Affiliation(s)
| | - Miguel Faria
- Clinical Professor of Surgery (Neurosurgery, ret.) and Adjunct Professor of Medical History (ret.), Mercer University School of Medicine, United States
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23
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Liu Y, Ouyang P, Zheng Y, Mi L, Zhao J, Ning Y, Guo W. A Selective Review of the Excitatory-Inhibitory Imbalance in Schizophrenia: Underlying Biology, Genetics, Microcircuits, and Symptoms. Front Cell Dev Biol 2021; 9:664535. [PMID: 34746116 PMCID: PMC8567014 DOI: 10.3389/fcell.2021.664535] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 09/27/2021] [Indexed: 12/29/2022] Open
Abstract
Schizophrenia is a chronic disorder characterized by specific positive and negative primary symptoms, social behavior disturbances and cognitive deficits (e.g., impairment in working memory and cognitive flexibility). Mounting evidence suggests that altered excitability and inhibition at the molecular, cellular, circuit and network level might be the basis for the pathophysiology of neurodevelopmental and neuropsychiatric disorders such as schizophrenia. In the past decades, human and animal studies have identified that glutamate and gamma-aminobutyric acid (GABA) neurotransmissions are critically involved in several cognitive progresses, including learning and memory. The purpose of this review is, by analyzing emerging findings relating to the balance of excitatory and inhibitory, ranging from animal models of schizophrenia to clinical studies in patients with early onset, first-episode or chronic schizophrenia, to discuss how the excitatory-inhibitory imbalance may relate to the pathophysiology of disease phenotypes such as cognitive deficits and negative symptoms, and highlight directions for appropriate therapeutic strategies.
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Affiliation(s)
- Yi Liu
- National Clinical Research Center on Mental Disorders and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China
| | - Pan Ouyang
- National Clinical Research Center on Mental Disorders and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yingjun Zheng
- Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lin Mi
- Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jingping Zhao
- National Clinical Research Center on Mental Disorders and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China.,The First School of Clinical Medical University, Guangzhou, China
| | - Wenbin Guo
- National Clinical Research Center on Mental Disorders and Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
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24
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McCutcheon RA, Merritt K, Howes OD. Dopamine and glutamate in individuals at high risk for psychosis: a meta-analysis of in vivo imaging findings and their variability compared to controls. World Psychiatry 2021; 20:405-416. [PMID: 34505389 PMCID: PMC8429330 DOI: 10.1002/wps.20893] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Dopaminergic and glutamatergic dysfunction is believed to play a central role in the pathophysiology of schizophrenia. However, it is unclear if abnormalities predate the onset of schizophrenia in individuals at high clinical or genetic risk for the disorder. We systematically reviewed and meta-analyzed studies that have used neuroimaging to investigate dopamine and glutamate function in individuals at increased clinical or genetic risk for psychosis. EMBASE, PsycINFO and Medline were searched form January 1, 1960 to November 26, 2020. Inclusion criteria were molecular imaging measures of striatal presynaptic dopaminergic function, striatal dopamine receptor availability, or glutamate function. Separate meta-analyses were conducted for genetic high-risk and clinical high-risk individuals. We calculated standardized mean differences between high-risk individuals and controls, and investigated whether the variability of these measures differed between the two groups. Forty-eight eligible studies were identified, including 1,288 high-risk individuals and 1,187 controls. Genetic high-risk individuals showed evidence of increased thalamic glutamate + glutamine (Glx) concentrations (Hedges' g=0.36, 95% CI: 0.12-0.61, p=0.003). There were no significant differences between high-risk individuals and controls in striatal presynaptic dopaminergic function, striatal D2/D3 receptor availability, prefrontal cortex glutamate or Glx, hippocampal glutamate or Glx, or basal ganglia Glx. In the meta-analysis of variability, genetic high-risk individuals showed reduced variability of striatal D2/D3 receptor availability compared to controls (log coefficient of variation ratio, CVR=-0.24, 95% CI: -0.46 to -0.02, p=0.03). Meta-regressions of publication year against effect size demonstrated that the magnitude of differences between clinical high-risk individuals and controls in presynaptic dopaminergic function has decreased over time (estimate=-0.06, 95% CI: -0.11 to -0.007, p=0.025). Thus, other than thalamic glutamate concentrations, no neurochemical measures were significantly different between individuals at risk for psychosis and controls. There was also no evidence of increased variability of dopamine or glutamate measures in high-risk individuals compared to controls. Significant heterogeneity, however, exists between studies, which does not allow to rule out the existence of clinically meaningful differences.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Kate Merritt
- Division of Psychiatry, Institute of Mental Health, University College London, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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25
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Applications of innovative technologies to the delivery of antipsychotics. Drug Discov Today 2021; 27:401-421. [PMID: 34601123 DOI: 10.1016/j.drudis.2021.09.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/27/2021] [Accepted: 09/25/2021] [Indexed: 12/24/2022]
Abstract
Psychosis is a high-incidence pathology associated with a profound alteration in the perception of reality. The limitations of drugs available on the market have stimulated the search for alternative solutions to achieve effective antipsychotic therapies. In this review, we evaluate innovative formulations of antipsychotic drugs developed through the application of modern pharmaceutical technologies, including classes of micro and nanocarriers, such as lipid formulations, polymeric nanoparticles (NPs), solid dispersions, and cyclodextrins (CDs). We also consider alternative routes of administration to the oral and parenteral ones currently used. Improved solubility, stability of preparations, and pharmacokinetic (PK) and pharmacodynamic (PD) parameters confirm the potential of these new formulations in the treatment of psychotic disorders.
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26
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Fu J, Zhang Q, Wu Z, Hong C, Zhu C. Transcriptomic Analysis Reveals a Sex-Dimorphic Influence of GAT-2 on Murine Liver Function. Front Nutr 2021; 8:751388. [PMID: 34604287 PMCID: PMC8481587 DOI: 10.3389/fnut.2021.751388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 08/17/2021] [Indexed: 11/15/2022] Open
Abstract
Accumulating evidence shows that the γ-amino butyric acid (GABA)ergic system affects the functions of different organs, and liver is one of the most sex-dimorphic organs in animals. However, whether and how the GABAergic system influences liver function in a sex-specific manner at the intrinsic molecular level remains elusive. In this study, firstly, we find that the levels of GABA are significantly increased in the livers of female mice with GABA transporter (GAT)-2 deficiency (KO) whereas it only slightly increased in male GAT-2 KO mice. Apart from the amino acid profiles, the expressions of toll-like receptors (TLRs) also differ in the livers of female and male KO mice. Moreover, RNA-seq results show 2,227 differentially expressed genes (DEGs) in which 1,030 are upregulated whereas 1,197 that are downregulated in the livers of female KO mice. Notably, oxidative phosphorylation, non-alcoholic fatty liver disease, Huntington's disease, and peroxisome proliferator-activated receptor (PPAR) signaling pathways are highly enriched by GAT-2 deficiency, indicating that these pathways probably meditate the effects of GAT-2 on female liver functions, on the other hand, only 1,233 DEGs, including 474 are upregulated and 759 are downregulated in the livers of male KO mice. Interestingly, retinol metabolism, PPAR signaling pathway, and tuberculosis pathways are substantially enriched by GAT-2 deficiency, suggesting that these pathways may be responsible for the effects of GAT-2 on male liver functions. Collectively, our results reveal the sex-dimorphic effects of GAT-2 in guiding liver functions, and we propose that targeting the GABAergic system (e.g., GATs) in a sex-specific manner could provide previously unidentified therapeutic opportunities for liver diseases.
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Affiliation(s)
- Jian Fu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Qingzhuo Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zebiao Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Changming Hong
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Congrui Zhu
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS, United States
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27
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Mittal VA, Ellman LM, Strauss GP, Walker EF, Corlett PR, Schiffman J, Woods SW, Powers AR, Silverstein SM, Waltz JA, Zinbarg R, Chen S, Williams T, Kenney J, Gold JM. Computerized Assessment of Psychosis Risk. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2021; 6:e210011. [PMID: 34307899 PMCID: PMC8302046 DOI: 10.20900/jpbs.20210011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Early detection and intervention with young people at clinical high risk (CHR) for psychosis is critical for prevention efforts focused on altering the trajectory of psychosis. Early CHR research largely focused on validating clinical interviews for detecting at-risk individuals; however, this approach has limitations related to: (1) specificity (i.e., only 20% of CHR individuals convert to psychosis) and (2) the expertise and training needed to administer these interviews is limited. The purpose of our study is to develop the computerized assessment of psychosis risk (CAPR) battery, consisting of behavioral tasks that require minimal training to administer, can be administered online, and are tied to the neurobiological systems and computational mechanisms implicated in psychosis. The aims of our study are as follows: (1A) to develop a psychosis-risk calculator through the application of machine learning (ML) methods to the measures from the CAPR battery, (1B) evaluate group differences on the risk calculator score and test the hypothesis that the risk calculator score of the CHR group will differ from help-seeking and healthy controls, (1C) evaluate how baseline CAPR battery performance relates to symptomatic outcome two years later (i.e., conversion and symptomatic worsening). These aims will be explored in 500 CHR participants, 500 help-seeking individuals, and 500 healthy controls across the study sites. This project will provide a next-generation CHR battery, tied to illness mechanisms and powered by cutting-edge computational methods that can be used to facilitate the earliest possible detection of psychosis risk.
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Affiliation(s)
- Vijay A. Mittal
- Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Departments of Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL 60208, USA
| | - Lauren M. Ellman
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Gregory P. Strauss
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA 30602, USA
| | - Elaine F. Walker
- Department of Psychology and Program in Neuroscience, Emory University, Atlanta, GA 30322, USA
| | | | - Jason Schiffman
- Department of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA 92697, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Steven M. Silverstein
- Center for Visual Science, Departments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - James A. Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Richard Zinbarg
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
- The Family Institute at Northwestern University, Evanston, IL 60208, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Trevor Williams
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
| | - Joshua Kenney
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
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28
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The Effects of Acute Δ 9-Tetrahydrocannabinol on Striatal Glutamatergic Function: A Proton Magnetic Resonance Spectroscopy Study. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:660-667. [PMID: 34099186 DOI: 10.1016/j.bpsc.2021.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 04/09/2021] [Accepted: 04/09/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cannabis and its main psychoactive component, Δ9-tetrahydrocannabinol (THC), can elicit transient psychotic symptoms. A key candidate biological mechanism of how THC induces psychotic symptoms is the modulation of glutamate in the brain. We sought to investigate the effects of acute THC administration on striatal glutamate levels and its relationship to the induction of psychotic symptoms. METHODS We used proton magnetic resonance spectroscopy to measure glutamate levels in the striatum in 20 healthy participants after THC (15 mg, oral) and matched placebo administration in a randomized, double-blind, placebo-controlled design. Psychotic symptoms were measured using the Psychotomimetic States Inventory. RESULTS We found that THC administration did not significantly change glutamate (glutamate plus glutamine relative to creatine) concentration in the striatum (p = .58; scaled Jeffreys-Zellner-Siow Bayes factor = 4.29). THC increased psychotic symptoms, but the severity of these symptoms was not correlated with striatal glutamate levels. CONCLUSIONS These findings suggest that oral administration of 15 mg of THC does not result in altered striatal glutamate levels. Further work is needed to clarify the effects of THC on striatal glutamate.
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29
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Merritt K, McGuire PK, Egerton A, Aleman A, Block W, Bloemen OJN, Borgan F, Bustillo JR, Capizzano AA, Coughlin JM, De la Fuente-Sandoval C, Demjaha A, Dempster K, Do KQ, Du F, Falkai P, Galinska-Skok B, Gallinat J, Gasparovic C, Ginestet CE, Goto N, Graff-Guerrero A, Ho BC, Howes OD, Jauhar S, Jeon P, Kato T, Kaufmann CA, Kegeles LS, Keshavan M, Kim SY, Kunugi H, Lauriello J, Liemburg EJ, Mcilwain ME, Modinos G, Mouchlianitis ED, Nakamura J, Nenadic I, Öngür D, Ota M, Palaniyappan L, Pantelis C, Plitman E, Posporelis S, Purdon SE, Reichenbach JR, Renshaw PF, Russell BR, Sawa A, Schaefer M, Shungu DC, Smesny S, Stanley JA, Stone JM, Szulc A, Taylor R, Thakkar K, Théberge J, Tibbo PG, van Amelsvoort T, Walecki J, Williamson PC, Wood SJ, Xin L, Yamasue H. Association of Age, Antipsychotic Medication, and Symptom Severity in Schizophrenia With Proton Magnetic Resonance Spectroscopy Brain Glutamate Level: A Mega-analysis of Individual Participant-Level Data. JAMA Psychiatry 2021; 78:667-681. [PMID: 33881460 PMCID: PMC8060889 DOI: 10.1001/jamapsychiatry.2021.0380] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Importance Proton magnetic resonance spectroscopy (1H-MRS) studies indicate that altered brain glutamatergic function may be associated with the pathophysiology of schizophrenia and the response to antipsychotic treatment. However, the association of altered glutamatergic function with clinical and demographic factors is unclear. Objective To assess the associations of age, symptom severity, level of functioning, and antipsychotic treatment with brain glutamatergic metabolites. Data Sources The MEDLINE database was searched to identify journal articles published between January 1, 1980, and June 3, 2020, using the following search terms: MRS or magnetic resonance spectroscopy and (1) schizophrenia or (2) psychosis or (3) UHR or (4) ARMS or (5) ultra-high risk or (6) clinical high risk or (7) genetic high risk or (8) prodrome* or (9) schizoaffective. Authors of 114 1H-MRS studies measuring glutamate (Glu) levels in patients with schizophrenia were contacted between January 2014 and June 2020 and asked to provide individual participant data. Study Selection In total, 45 1H-MRS studies contributed data. Data Extraction and Synthesis Associations of Glu, Glu plus glutamine (Glx), or total creatine plus phosphocreatine levels with age, antipsychotic medication dose, symptom severity, and functioning were assessed using linear mixed models, with study as a random factor. Main Outcomes and Measures Glu, Glx, and Cr values in the medial frontal cortex (MFC) and medial temporal lobe (MTL). Results In total, 42 studies were included, with data for 1251 patients with schizophrenia (mean [SD] age, 30.3 [10.4] years) and 1197 healthy volunteers (mean [SD] age, 27.5 [8.8] years). The MFC Glu (F1,1211.9 = 4.311, P = .04) and Glx (F1,1079.2 = 5.287, P = .02) levels were lower in patients than in healthy volunteers, and although creatine levels appeared lower in patients, the difference was not significant (F1,1395.9 = 3.622, P = .06). In both patients and volunteers, the MFC Glu level was negatively associated with age (Glu to Cr ratio, F1,1522.4 = 47.533, P < .001; cerebrospinal fluid-corrected Glu, F1,1216.7 = 5.610, P = .02), showing a 0.2-unit reduction per decade. In patients, antipsychotic dose (in chlorpromazine equivalents) was negatively associated with MFC Glu (estimate, 0.10 reduction per 100 mg; SE, 0.03) and MFC Glx (estimate, -0.11; SE, 0.04) levels. The MFC Glu to Cr ratio was positively associated with total symptom severity (estimate, 0.01 per 10 points; SE, 0.005) and positive symptom severity (estimate, 0.04; SE, 0.02) and was negatively associated with level of global functioning (estimate, 0.04; SE, 0.01). In the MTL, the Glx to Cr ratio was positively associated with total symptom severity (estimate, 0.06; SE, 0.03), negative symptoms (estimate, 0.2; SE, 0.07), and worse Clinical Global Impression score (estimate, 0.2 per point; SE, 0.06). The MFC creatine level increased with age (estimate, 0.2; SE, 0.05) but was not associated with either symptom severity or antipsychotic medication dose. Conclusions and Relevance Findings from this mega-analysis suggest that lower brain Glu levels in patients with schizophrenia may be associated with antipsychotic medication exposure rather than with greater age-related decline. Higher brain Glu levels may act as a biomarker of illness severity in schizophrenia.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, Institute of Mental Health, UCL, London, United Kingdom
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Philip K McGuire
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - André Aleman
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - 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, United Kingdom
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque
| | - Aristides A Capizzano
- Department of Radiology, Division of Neuroradiology, University of Michigan, Ann Arbor
| | - Jennifer Marie Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - 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, United Kingdom
| | - Kara Dempster
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kim Q Do
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital-CHUV, Prilly-Lausanne, Switzerland
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Peter Falkai
- Department of Psychiatry, University Hospital, LMU Munich, Munich, Germany
| | - Beata Galinska-Skok
- Department of Psychiatry, Medical University of Bialystok, Bialystok, Poland
| | - Jurgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Germany
| | | | - Cedric E Ginestet
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience King's College London, London, United Kingdom
| | - Naoki Goto
- Department of Psychiatry, Kokura Gamo Hospital, Kitakyushu, Fukuoka, Japan
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Research Imaging Centre, Geriatric Mental Health Program at Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Beng Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City
| | - Oliver D Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Sameer Jauhar
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Peter Jeon
- Department of Medical Biophysics, University of Western Ontario, London, Ontario, 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, New York
| | - Lawrence S Kegeles
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute, New York
| | | | | | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - John Lauriello
- Jefferson Health-Sidney Kimmel Medical College, Philadelphia, Pennsylvania
| | - Edith Jantine Liemburg
- Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Meghan E Mcilwain
- School of Pharmacy, University of Auckland, Grafton, Auckland, New Zealand
| | - Gemma Modinos
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Elias D Mouchlianitis
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - 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), Germany
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
- Editor, JAMA Psychiatry
| | - Miho Ota
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Sotirios Posporelis
- Psychosis Studies Department, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley, Bethlem Royal Hospital, Beckenham, United Kingdom
| | - Scot E Purdon
- Neuropsychology Department, Alberta Hospital Edmonton, Edmonton, Alberta, Canada
- Edmonton Early Intervention in Psychosis Clinic, Edmonton, Alberta, Canada
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City
| | - Bruce R Russell
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University, Baltimore, Maryland
- Department of Neuroscience, Johns Hopkins University, Baltimore, Maryland
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
- Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland
| | - 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, New York
| | - 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, Michigan
| | - James M Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Poland
| | - Reggie Taylor
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
- Lawson Health Research Institute, London, Ontario, Canada
| | - Katy Thakkar
- Department of Psychology, Michigan State University, East Lansing
- Division of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing
| | - Jean Théberge
- Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
- Department of Psychiatry, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
| | | | - Peter C Williamson
- Department of Psychiatry, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Stephen James Wood
- Orygen, Melbourne, Australia
- Institute for Mental Health, University of Birmingham, Edgbaston, United Kingdom
- Centre for Youth Mental Health, University of Melbourne, Australia
| | - Lijing Xin
- Animal Imaging and Technology Core, Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
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30
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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: 51] [Impact Index Per Article: 17.0] [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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31
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Iwata Y, Nakajima S, Plitman E, Truong P, Bani-Fatemi A, Caravaggio F, Kim J, Shah P, Mar W, Chavez S, Remington G, Gerretsen P, De Luca V, Sailasuta N, Graff-Guerrero A. Glutathione Levels and Glutathione-Glutamate Correlation in Patients With Treatment-Resistant Schizophrenia. ACTA ACUST UNITED AC 2021; 2:sgab006. [PMID: 33969302 PMCID: PMC8086698 DOI: 10.1093/schizbullopen/sgab006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Treatment-resistant schizophrenia (TRS) has been suggested to involve glutamatergic dysfunction. Glutathione (GSH), a dominant antioxidant, is known to be involved in glutamatergic neurotransmission. To date, no study has examined GSH levels in patients with TRS. The aim of this study was to examine GSH levels in the dorsal anterior cingulate cortex (dACC) of patients with TRS. Patients with schizophrenia were categorized into 3 groups with respect to their antipsychotic response: (1) clozapine (CLZ) nonresponders, (2) CLZ responders, and (3) first-line responders (FLR). GSH and glutamine + glutamate (Glx) levels were measured using 3T proton magnetic resonance spectroscopy. Firstly, dACC GSH levels were compared among the patient groups and healthy controls (HCs). Further, relationships between GSH and Glx levels were compared between the groups and GSH levels were explored stratifying the patient groups based on the glutamate-cysteine ligase catalytic (GCLC) subunit polymorphism. There was no difference in GSH levels between the groups. FLR showed a more negative relationship between GSH and Glx levels in the dACC compared to HCs. There were no effects of GCLC genotype on the GSH levels. However, CLZ responders had a higher ratio of high-risk GCLC genotype compared to CLZ nonresponders. This study demonstrated different relationships between GSH and Glx in the dACC between groups. In addition, the results suggest a potential link between CLZ response and GCLC genotype. However, it still remains unclear how these differences are related to the underlying pathophysiology of schizophrenia subtypes or the mechanisms of action of CLZ.
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Affiliation(s)
- Yusuke Iwata
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Shinichiro Nakajima
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Eric Plitman
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Peter Truong
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Ali Bani-Fatemi
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Fernando Caravaggio
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Julia Kim
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Parita Shah
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Wanna Mar
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sofia Chavez
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Gary Remington
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Philip Gerretsen
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Vincenzo De Luca
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Napapon Sailasuta
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Tropical Medicine, University of Hawaii, Honolulu, HI, USA
| | - Ariel Graff-Guerrero
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Campbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
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32
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Gurler D, White DM, Kraguljac NV, Ver Hoef L, Martin C, Tennant B, Lahti AC. Neural Signatures of Memory Encoding in Schizophrenia Are Modulated by Antipsychotic Treatment. Neuropsychobiology 2021; 80:12-24. [PMID: 32316023 PMCID: PMC7874518 DOI: 10.1159/000506402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 02/07/2020] [Indexed: 12/17/2022]
Abstract
There is no pharmacological treatment to remediate cognitive impairment in schizophrenia (SZ). It is imperative to characterize underlying pathologies of memory processing in order to effectively develop new treatments. In this longitudinal study, we combined functional magnetic resonance imaging during a memory encoding task with proton MR spectroscopy to measure hippocampal glutamate + glutamine (Glx). Seventeen SZ were scanned while unmedicated and after 6 weeks of treatment with risperidone and compared to a group of matched healthy controls (HC) scanned 6 weeks apart. Unmedicated patients showed reduced blood oxygen level dependent (BOLD) response in several regions, including the hippocampus, and greater BOLD response in regions of the default mode network (DMN) during correct memory encoding. Post hoc contrasts from significant group by time interactions indicated reduced hippocampal BOLD response at baseline with subsequent increase following treatment. Hippocampal Glx was not different between groups at baseline, but at week 6, hippocampal Glx was significantly lower in SZ compared to HC. Finally, in unmedicated SZ, higher hippocampal Glx predicted less deactivation of the BOLD response in regions of the DMN. Using 2 brain imaging modalities allowed us to concurrently investigate different mechanisms involved in memory encoding dysfunction in SZ. Hippocampal pathology during memory encoding stems from decreased hippocampal recruitment and faulty deactivation of the DMN, and hippocampal recruitment during encoding can be modulated by antipsychotic treatment. High Glx in unmedicated patients predicted less deactivation of the DMN; these results suggest a mechanism by which faulty DMN deactivation, a hallmark of pathological findings in SZ, is achieved.
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Affiliation(s)
- Demet Gurler
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| | - David Matthew White
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| | - Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| | | | - Clinton Martin
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| | - Blake Tennant
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, USA,
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33
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Gafson AR, Barthélemy NR, Bomont P, Carare RO, Durham HD, Julien JP, Kuhle J, Leppert D, Nixon RA, Weller RO, Zetterberg H, Matthews PM. Neurofilaments: neurobiological foundations for biomarker applications. Brain 2020; 143:1975-1998. [PMID: 32408345 DOI: 10.1093/brain/awaa098] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 12/20/2019] [Accepted: 01/20/2020] [Indexed: 12/11/2022] Open
Abstract
Interest in neurofilaments has risen sharply in recent years with recognition of their potential as biomarkers of brain injury or neurodegeneration in CSF and blood. This is in the context of a growing appreciation for the complexity of the neurobiology of neurofilaments, new recognition of specialized roles for neurofilaments in synapses and a developing understanding of mechanisms responsible for their turnover. Here we will review the neurobiology of neurofilament proteins, describing current understanding of their structure and function, including recently discovered evidence for their roles in synapses. We will explore emerging understanding of the mechanisms of neurofilament degradation and clearance and review new methods for future elucidation of the kinetics of their turnover in humans. Primary roles of neurofilaments in the pathogenesis of human diseases will be described. With this background, we then will review critically evidence supporting use of neurofilament concentration measures as biomarkers of neuronal injury or degeneration. Finally, we will reflect on major challenges for studies of the neurobiology of intermediate filaments with specific attention to identifying what needs to be learned for more precise use and confident interpretation of neurofilament measures as biomarkers of neurodegeneration.
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Affiliation(s)
- Arie R Gafson
- Department of Brain Sciences, Imperial College, London, UK
| | - Nicolas R Barthélemy
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Pascale Bomont
- ATIP-Avenir team, INM, INSERM, Montpellier University, Montpellier, France
| | - Roxana O Carare
- Clinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Heather D Durham
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Jean-Pierre Julien
- Department of Psychiatry and Neuroscience, Laval University, Quebec, Canada.,CERVO Brain Research Center, 2601 Chemin de la Canardière, Québec, QC, G1J 2G3, Canada
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - David Leppert
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Ralph A Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, 10962, USA.,Departments of Psychiatry, New York University School of Medicine, New York, NY, 10016, USA.,Neuroscience Institute, New York University School of Medicine, New York, NY, 10016, USA.,Department of Cell Biology, New York University School of Medicine, New York, NY, 10016, USA
| | - Roy O Weller
- Clinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Henrik Zetterberg
- University College London Queen Square Institute of Neurology, London, UK.,UK Dementia Research Institute at University College London, London, UK.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College, London, UK.,UK Dementia Research Institute at Imperial College, London
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34
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Kegeles LS, Ciarleglio A, León-Ortiz P, Reyes-Madrigal F, Lieberman JA, Brucato G, Girgis RR, de la Fuente-Sandoval C. An imaging-based risk calculator for prediction of conversion to psychosis in clinical high-risk individuals using glutamate 1H MRS. Schizophr Res 2020; 226:70-73. [PMID: 31522867 PMCID: PMC7065933 DOI: 10.1016/j.schres.2019.09.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 09/04/2019] [Accepted: 09/06/2019] [Indexed: 01/12/2023]
Abstract
Risk calculators for prediction of conversion of Clinical High-Risk (CHR) individuals to syndromal psychosis have recently been developed and have generated considerable clinical use and research interest. Predictor variables in these calculators have been clinical rather than biological, and our goal was to incorporate a neurochemical imaging measure into this framework and assess its impact on prediction. We combined striatal glutamate 1H MRS data with the SIPS symptoms identified by the Columbia Risk Calculator as having the greatest predictive value in order to develop an imaging-based risk calculator for conversion to psychosis. We evaluated the calculator in 19 CHR individuals, 7 (36.84%) of whom converted to syndromal psychosis during the 2-year follow up. The receiver operating characteristic (ROC) curve for the logistic model including only striatal glutamate and visual perceptual abnormalities showed an AUC = 0.869 (95% CI = [0.667, 1.000]) and AUCoa = 0.823, with sensitivity of 0.714, specificity of 0.917, positive predictive value of 0.833, and negative predictive value of 0.846. These results represent modest improvements over each of the individual ROC curves based on either striatal glutamate or visual perceptual abnormalities alone. The preliminary model building and evaluation presented here in a small CHR sample suggests that the approach of incorporating predictive imaging measures into risk classification is not only feasible but offers the potential of enhancing risk assessment.
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Affiliation(s)
- Lawrence S Kegeles
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Adam Ciarleglio
- George Washington University, Milken Institute School of Public Health, Department of Epidemiology and Biostatistics, Washington, DC, USA
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Jeffrey A Lieberman
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Gary Brucato
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Ragy R Girgis
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
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35
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Sydnor VJ, Roalf DR. A meta-analysis of ultra-high field glutamate, glutamine, GABA and glutathione 1HMRS in psychosis: Implications for studies of psychosis risk. Schizophr Res 2020; 226:61-69. [PMID: 32723493 PMCID: PMC7750272 DOI: 10.1016/j.schres.2020.06.028] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 12/20/2022]
Abstract
Ultra-high field proton magnetic resonance spectroscopy (1HMRS) offers a unique opportunity to measure the concentration of neurometabolites implicated in psychosis (PSY). The extant 7 T 1HMRS literature measuring glutamate-associated neurometabolites in the brain in PSY in vivo is small, but a comprehensive, quantitative summary of these data can offer insight and guidance to this emerging field. This meta-analysis examines proton spectroscopy (1HMRS) measures of glutamate (Glu), glutamine (Gln), glutamate+glutamine (Glx), gamma aminobutyric acid (GABA), and glutathione (GSH) across 255 individuals with PSY (121 first episode) and 293 healthy comparison participants (HC). While all five neurometabolites were lower in PSY as compared to HC, only Glu (Cohen's d = -0.18) and GSH (Cohen's d = -0.21) concentrations were significantly lower in PSY, whereas concentrations of Gln, Glx, and GABA did not significantly differ between groups. Notably, 1HMRS methodological choices and sample demographic characteristics did not impact study-specific effect sizes for PSY-related Glu or GSH differences. This review thus provides further evidence of neurometabolite dysfunction in first episode and chronic PSY, and thereby suggests that Glu and GSH abnormalities may additionally play a role in more incipient stages of the disorder: in clinical high risk stages. Additional 7 T neurochemical imaging studies in larger, longitudinal, and unmedicated samples and in youth at risk for developing psychosis are needed. Such studies will be critical for elucidating the neurodevelopmental and clinical time course of PSY-related neurometabolite alterations, and for assessing the potential for implicated metabolites to serve as druggable targets for decreasing PSY risk.
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Affiliation(s)
- Valerie J Sydnor
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States of America; Lifespan Brain Institute at the Children's Hospital of Philadelphia & the University of Pennsylvania, Philadelphia, PA 19104, United States of America.
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Metabolite abnormalities in psychosis risk: A meta-analysis of proton magnetic resonance spectroscopy studies. Asian J Psychiatr 2020; 54:102220. [PMID: 32653847 DOI: 10.1016/j.ajp.2020.102220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 05/23/2020] [Accepted: 06/10/2020] [Indexed: 12/28/2022]
Abstract
Accumulating evidence implicates that individuals at high-risk of psychosis have already exhibited pathophysiological changes in brain metabolites including glutamate, gamma-Aminobutyric Acid (GABA), N-Acetylaspartate (NAA), creatine (Cr), myo-inositol (MI) and choline (Cho). These changes may contribute to the development of schizophrenia and associate with psychotic genes. However, specific metabolic changes of brain sub-regions in individuals at risk have still been controversial. Thus, the current study aimed to investigate the brain metabolic changes including glutamate, Glx, GABA, GABA/Glx, NAA, Cr, MI and Cho levels in individuals at risk by conducting a case-control meta-analysis and meta-regression of proton magnetic resonance spectroscopy studies. Primary outcomes revealed that individuals at risk exhibited increased Cr levels at the rostral medial prefrontal cortex (rmPFC), decreased NAA and Cr levels at the thalamus, and increased MI levels at the dorsolateral prefrontal cortex. Sub-group analyses further indicated that individuals with clinical high-risk (CHR) exhibited increased Cr levels at the medial prefrontal cortex (mPFC) and decreased Glx levels at the thalamus, while individuals with genetic risk (siblings of psychiatric patients) exhibited significant increased Glx and MI levels at the mPFC. However, GABA, GABA/Glx and Cho levels showed no significant result. These findings suggest that the dysfunctional metabolites at the mPFC and the thalamus may be an essential neurobiological basis at the early stage of psychosis.
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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: 31] [Impact Index Per Article: 7.8] [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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38
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Chetia S, Borah G. Δ 9-Tetrahydrocannabinol Toxicity and Validation of Cannabidiol on Brain Dopamine Levels: An Assessment on Cannabis Duplicity. NATURAL PRODUCTS AND BIOPROSPECTING 2020; 10:285-296. [PMID: 32860199 PMCID: PMC7520491 DOI: 10.1007/s13659-020-00263-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
Δ9-tetrahydrocannabinol (THC) of cannabis is the main psychoactive component which is a global significant concern to human health. Evaluation on THC reported its drastic effect on the brain dopaminergic (DAergic) system stimulating mesolimbic DA containing neurons thereby increasing the level of striatal DA. Cannabidiol (CBD), with its anxiolytic and anti-psychotic property, is potent to ameliorate the THC-induced DAergic variations. Legal authorization of cannabis use and its analogs in most countries led to a drastic dispute in the elicitation of cannabis products. With a recent increase in cannabis-induced disorder rates, the present review highlighted the detrimental effects of THC and the effects of CBD on THC induced alterations in DA synthesis and release. Alongside the reported data, uses of cannabis as a therapeutic medium in a number of health complications are also being briefly reviewed. These evaluated reports led to an anticipation of additional research contradictory to the findings of THC and CBD activity in the brain DAergic system and their medical implementations as therapeutics.
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Affiliation(s)
- Swapnali Chetia
- Department of Zoology, Rajiv Gandhi University, Rono Hills, Doimukh, Arunachal Pradesh, 791112, India.
| | - Gaurab Borah
- Department of Zoology, Rajiv Gandhi University, Rono Hills, Doimukh, Arunachal Pradesh, 791112, India
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Wenneberg C, Glenthøj BY, Glenthøj LB, Fagerlund B, Krakauer K, Kristensen TD, Hjorthøj C, Edden RAE, Broberg BV, Bojesen KB, Rostrup E, Nordentoft M. Baseline measures of cerebral glutamate and GABA levels in individuals at ultrahigh risk for psychosis: Implications for clinical outcome after 12 months. Eur Psychiatry 2020; 63:e83. [PMID: 32762779 PMCID: PMC7576532 DOI: 10.1192/j.eurpsy.2020.77] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background. Cerebral glutamate and gamma-aminobutyric acid (GABA) levels might predict clinical outcome in individuals at ultrahigh risk (UHR) for psychosis but have previously primarily been investigated in smaller cohorts. We aimed to study whether baseline levels of glutamate and GABA in anterior cingulate cortex (ACC) and glutamate in thalamus could predict remission status and whether baseline metabolites differed in the remission versus the nonremission group. We also investigated the relationship between baseline metabolite levels and severity of clinical symptoms, functional outcome, and cognitive deficits at follow-up. Methods. About 124 UHR individuals were recruited at baseline. In this, 74 UHR individuals were clinically and cognitively assessed after 12 months, while remission status was available for 81 (25 remission/56 nonremission). Glutamate and GABA levels were assessed at baseline using 3 T proton magnetic resonance spectroscopy. Psychopathology, symptom severity, and remission were assessed with the Comprehensive Assessment of At-Risk Mental States and Clinical Global Impression and functional outcome with the Social and Occupational Functioning Assessment Scale. Cognitive function was estimated with the Cambridge Neuropsychological Test Automated Battery. Results. There were no differences between baseline glutamate and GABA levels in subjects in the nonremission group compared with the remission group, and baseline metabolites could not predict remission status. However, higher baseline levels of GABA in ACC were associated with clinical global improvement (r = −0.34, N = 51, p = 0.01) in an explorative analysis. Conclusions. The variety in findings across studies suggests a probable multifactorial influence on clinical outcome in UHR individuals. Future studies should combine multimodal approaches to attempt prediction of long-term outcome.
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Affiliation(s)
- C Wenneberg
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - B Y Glenthøj
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - L B Glenthøj
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - B Fagerlund
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - K Krakauer
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - T D Kristensen
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - C Hjorthøj
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - R A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - B V Broberg
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - K B Bojesen
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - E Rostrup
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - M Nordentoft
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark
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Gold JM, Corlett PR, Strauss GP, Schiffman J, Ellman LM, Walker EF, Powers AR, Woods SW, Waltz JA, Silverstein SM, Mittal VA. Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience. Schizophr Bull 2020; 46:1346-1352. [PMID: 32648913 PMCID: PMC7707066 DOI: 10.1093/schbul/sbaa091] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Research suggests that early identification and intervention with individuals at clinical high risk (CHR) for psychosis may be able to improve the course of illness. The first generation of studies suggested that the identification of CHR through the use of specialized interviews evaluating attenuated psychosis symptoms is a promising strategy for exploring mechanisms associated with illness progression, etiology, and identifying new treatment targets. The next generation of research on psychosis risk must address two major limitations: (1) interview methods have limited specificity, as recent estimates indicate that only 15%-30% of individuals identified as CHR convert to psychosis and (2) the expertise needed to make CHR diagnosis is only accessible in a handful of academic centers. Here, we introduce a new approach to CHR assessment that has the potential to increase accessibility and positive predictive value. Recent advances in clinical and computational cognitive neuroscience have generated new behavioral measures that assay the cognitive mechanisms and neural systems that underlie the positive, negative, and disorganization symptoms that are characteristic of psychotic disorders. We hypothesize that measures tied to symptom generation will lead to enhanced sensitivity and specificity relative to interview methods and the cognitive intermediate phenotype measures that have been studied to date that are typically indicators of trait vulnerability and, therefore, have a high false positive rate for conversion to psychosis. These new behavioral measures have the potential to be implemented on the internet and at minimal expense, thereby increasing accessibility of assessments.
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Affiliation(s)
- James M Gold
- Department of Psychiatry and Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD,To whom correspondence should be addressed; Maryland Psychiatric Research Center, PO Box 21247, Baltimore, MD 21228; tel: +1-410-402-7871, fax: +1-410-401-7198, e-mail:
| | - Philip R Corlett
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | | | | | - Lauren M Ellman
- Department of Psychology, Temple University, Philadelphia, PA
| | | | - Albert R Powers
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - James A Waltz
- Department of Psychiatry and Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD
| | - Steven M Silverstein
- Departments of Psychiatry, Neuroscience, and Ophthalmology, University of Rochester Medical Center, Rochester, NY
| | - Vijay A Mittal
- Departments of Psychology, Psychiatry, Medical Social Sciences, Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Evanston and Chicago, IL
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Urabe H, Miyakoshi N, Ohtake N, Nozoe A, Ochi M, Fukasawa M, Kinoshita K, Yamaguchi JI, Marumo T, Hikichi H, Chaki S, Hashihayata T. Discovery of MGS0274, an ester prodrug of a metabotropic glutamate receptor 2/3 agonist with improved oral bioavailability. Eur J Med Chem 2020; 203:112521. [PMID: 32698110 DOI: 10.1016/j.ejmech.2020.112521] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/29/2020] [Accepted: 05/30/2020] [Indexed: 01/17/2023]
Abstract
We previously reported that MGS0008 is a selective group II metabotropic glutamate receptor (mGlu2/3 receptor) agonist that is effective in animal models of schizophrenia. MGS0008 is a highly hydrophilic glutamate analog and is therefore expected to show low oral bioavailability in humans. To improve the oral bioavailability of MGS0008, ester prodrugs of MGS0008 were synthesized and their usefulness was evaluated. Among the prodrugs, the l-menthol-ester prodrug 4h demonstrated preferable lipophilicity, good chemical stability, and a high conversion rate to MGS0008 in human and monkey liver microsomes. A pharmacokinetic study in monkeys revealed that the oral bioavailability of MGS0008 after oral dosing of compound 4h was approximately 15-fold higher than that after oral dosing of MGS0008. Based on these findings, a diastereomer of compound 4h (compound 4j, or MGS0274), was selected as a candidate for clinical drug development, and its besylate is currently under development for the treatment of schizophrenia (Development code: TS-134).
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Affiliation(s)
- Hiroki Urabe
- Pharmaceutical Sciences Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan.
| | - Naoki Miyakoshi
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Norikazu Ohtake
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Akiko Nozoe
- Pharmaceutical Sciences Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Motoki Ochi
- Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Misako Fukasawa
- Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Kohnosuke Kinoshita
- Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Jun-Ichi Yamaguchi
- Drug Safety and Pharmacokinetics Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Toshiyuki Marumo
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Hirohiko Hikichi
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Shigeyuki Chaki
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Takashi Hashihayata
- Discovery Research Laboratories, Research Headquarters, Taisho Pharmaceutical Co., Ltd., Saitama, Japan
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Romeo B, Petillion A, Martelli C, Benyamina A. Magnetic resonance spectroscopy studies in subjects with high risk for psychosis: A meta-analysis and review. J Psychiatr Res 2020; 125:52-65. [PMID: 32203740 DOI: 10.1016/j.jpsychires.2020.03.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 02/19/2020] [Accepted: 03/13/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Even though anomalies on brain metabolites have been found in schizophrenia, researches about subjects with high risk (HR) show heterogeneous results. Thus, this meta-analysis aims to characterize the metabolic profile of HR subjects, first, compared to controls (HC) and then compared to people with schizophrenia. METHODS After a systematic database search, means and standard deviations were extracted to calculate standardized mean differences (SMD). Cerebral metabolites levels were compared between HR subjects and HC or patients with schizophrenia in all regions of interest investigated in included studies. Meta-regressions were performed to explore the influence of demographic and clinical variables on metabolites level's SMDs. RESULTS Thirty-nine studies were included in this meta-analysis. A higher level of glutamine + glutamate (Glx) was found in the medial prefrontal cortex (mPFC) (p < 0.01) and potentially in the basal ganglia (p = 0,05) as well as a higher level of myo-inositol (mI) in the dorsolateral prefrontal cortex (DLPFC) (p = 0.04) in HR subjects compared to HC. A higher level of choline (Cho) was found in people with schizophrenia compared to HR subjects in the DLPFC (p < 0.001) and the medial temporal lobe (p = 0.02). Meta-regression analyses showed negative associations between SMD for Cho concentration, the percentage of females or the age (p = 0.01). CONCLUSIONS The present meta-analysis provides evidence that some brain metabolites concentrations are disrupted before the transition to psychosis and could be considered like a vulnerability.
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Affiliation(s)
- Bruno Romeo
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800, Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions-Unité de Recherche, PSYCOMADD Université Paris Sud - AP-HP, Université Paris Saclay, France.
| | - Amelie Petillion
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800, Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions-Unité de Recherche, PSYCOMADD Université Paris Sud - AP-HP, Université Paris Saclay, France
| | - Catherine Martelli
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800, Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions-Unité de Recherche, PSYCOMADD Université Paris Sud - AP-HP, Université Paris Saclay, France; Institut National de la Santé et de la Recherche Médicale U1000, Research unit, NeuroImaging and Psychiatry, Paris Sud University- Paris Saclay University, Paris Descartes University, Digiteo Labs, Bâtiment 660, Gif-sur- Yvette, France
| | - Amine Benyamina
- APHP, Paul Brousse Hospital, Department of Psychiatry and Addictology, F-94800, Villejuif, France; Unité Psychiatrie-Comorbidités-Addictions-Unité de Recherche, PSYCOMADD Université Paris Sud - AP-HP, Université Paris Saclay, France
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Tarumi R, Tsugawa S, Noda Y, Plitman E, Honda S, Matsushita K, Chavez S, Sawada K, Wada M, Matsui M, Fujii S, Miyazaki T, Chakravarty MM, Uchida H, Remington G, Graff-Guerrero A, Mimura M, Nakajima S. Levels of glutamatergic neurometabolites in patients with severe treatment-resistant schizophrenia: a proton magnetic resonance spectroscopy study. Neuropsychopharmacology 2020; 45:632-640. [PMID: 31842203 PMCID: PMC7021829 DOI: 10.1038/s41386-019-0589-z] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 11/08/2019] [Accepted: 12/07/2019] [Indexed: 01/20/2023]
Abstract
Approximately 30% of patients with schizophrenia do not respond to antipsychotics and are thus considered to have treatment-resistant schizophrenia (TRS). To date, only four studies have examined glutamatergic neurometabolite levels using proton magnetic resonance spectroscopy (1H-MRS) in patients with TRS, collectively suggesting that glutamatergic dysfunction may be implicated in the pathophysiology of TRS. Notably, the TRS patient population in these studies had mild-to-moderate illness severity, which is not entirely reflective of what is observed in clinical practice. In this present work, we compared glutamate + glutamine (Glx) levels in the dorsal anterior cingulate cortex (dACC) and caudate among patients with TRS, patients with non-TRS, and healthy controls (HCs), using 3T 1H-MRS (PRESS, TE = 35 ms). TRS criteria were defined by severe positive symptoms (i.e., ≥5 on 2 Positive and Negative Syndrome Scale (PANSS)-positive symptom items or ≥4 on 3 PANSS-positive symptom items), despite standard antipsychotic treatment. A total of 95 participants were included (29 TRS patients [PANSS = 111.2 ± 20.4], 33 non-TRS patients [PANSS = 49.8 ± 13.7], and 33 HCs). dACC Glx levels were higher in the TRS group vs. HCs (group effect: F[2,75] = 4.74, p = 0.011; TRS vs. HCs: p = 0.012). No group differences were identified in the caudate. There were no associations between Glx levels and clinical severity in either patient group. Our results are suggestive of greater heterogeneity in TRS relative to non-TRS with respect to dACC Glx levels, necessitating further research to determine biological subtypes of TRS.
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Affiliation(s)
- Ryosuke Tarumi
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan ,grid.415439.eDepartment of Psychiatry, Komagino Hospital, Hachioji, Japan
| | - Sakiko Tsugawa
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Yoshihiro Noda
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Eric Plitman
- 0000 0004 1936 8649grid.14709.3bCerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,0000 0004 1936 8649grid.14709.3bDepartment of Psychiatry, McGill University, Montreal, QC Canada
| | - Shiori Honda
- 0000 0004 1936 9959grid.26091.3cGraduate School of Media and Governance, Keio University, Tokyo, Japan
| | - Karin Matsushita
- 0000 0004 1936 9959grid.26091.3cFaculty of Environment and Information Studies, Keio University, Tokyo, Japan
| | - Sofia Chavez
- 0000 0000 8793 5925grid.155956.bCampbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Kyosuke Sawada
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Masataka Wada
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Mie Matsui
- 0000 0001 2308 3329grid.9707.9Department of Clinical Cognitive Neuroscience, Institute of Liberal Arts and Science, Kanazawa University, Kanazawa, Japan
| | - Shinya Fujii
- 0000 0004 1936 9959grid.26091.3cFaculty of Environment and Information Studies, Keio University, Tokyo, Japan
| | - Takahiro Miyazaki
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - M. Mallar Chakravarty
- 0000 0004 1936 8649grid.14709.3bCerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC Canada ,0000 0004 1936 8649grid.14709.3bDepartment of Psychiatry, McGill University, Montreal, QC Canada ,0000 0004 1936 8649grid.14709.3bDepartment of Biomedical Engineering, McGill University, Montreal, QC Canada
| | - Hiroyuki Uchida
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan ,0000 0000 8793 5925grid.155956.bCampbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Gary Remington
- 0000 0000 8793 5925grid.155956.bCampbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON Canada ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Ariel Graff-Guerrero
- 0000 0000 8793 5925grid.155956.bCampbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON Canada ,0000 0001 2157 2938grid.17063.33Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Masaru Mimura
- 0000 0004 1936 9959grid.26091.3cDepartment of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, School of Medicine, Keio University, Tokyo, Japan. .,Campbell Institute Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.
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Howes OD, Bonoldi I, McCutcheon RA, Azis M, Antoniades M, Bossong M, Modinos G, Perez J, Stone JM, Santangelo B, Veronese M, Grace A, Allen P, McGuire PK. Glutamatergic and dopaminergic function and the relationship to outcome in people at clinical high risk of psychosis: a multi-modal PET-magnetic resonance brain imaging study. Neuropsychopharmacology 2020; 45:641-648. [PMID: 31618752 PMCID: PMC7021794 DOI: 10.1038/s41386-019-0541-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/20/2019] [Accepted: 09/23/2019] [Indexed: 12/11/2022]
Abstract
Preclinical models of psychosis propose that hippocampal glutamatergic neuron hyperactivity drives increased striatal dopaminergic activity, which underlies the development of psychotic symptoms. The aim of this study was to examine the relationship between hippocampal glutamate and subcortical dopaminergic function in people at clinical high risk for psychosis, and to assess the association with the development of psychotic symptoms. 1H-MRS was used to measure hippocampal glutamate concentrations, and 18F-DOPA PET was used to measure dopamine synthesis capacity in 70 subjects (51 people at clinical high risk for psychosis and 19 healthy controls). Clinical assessments were undertaken at baseline and follow-up (median 15 months). Striatal dopamine synthesis capacity predicted the worsening of psychotic symptoms at follow-up (r = 0.35; p < 0.05), but not transition to a psychotic disorder (p = 0.22), and was not significantly related to hippocampal glutamate concentration (p = 0.13). There were no differences in either glutamate (p = 0.5) or dopamine (p = 0.5) measures in the total patient group relative to controls. Striatal dopamine synthesis capacity at presentation predicts the subsequent worsening of sub-clinical total and psychotic symptoms, consistent with a role for dopamine in the development of psychotic symptoms, but is not strongly linked to hippocampal glutamate concentrations.
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Affiliation(s)
- Oliver D Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK.
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK.
- TREAT Service, South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, SE5 8AZ, UK.
| | - Ilaria Bonoldi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
- TREAT Service, South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, SE5 8AZ, UK
| | - Robert A McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK.
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK.
| | - Matilda Azis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Mathilde Antoniades
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Matthijs Bossong
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gemma Modinos
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Jesus Perez
- Cambridge Early Onset service, Cambridgeshire and Peterborough Mental Health Partnership National Health Service Trust, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - James M Stone
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Barbara Santangelo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Mattia Veronese
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Anthony Grace
- Department of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Paul Allen
- Department of Psychology, University of Roehampton, London, UK
| | - Philip K McGuire
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
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45
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Daniju Y, Bossong MG, Brandt K, Allen P. Do the effects of cannabis on the hippocampus and striatum increase risk for psychosis? Neurosci Biobehav Rev 2020; 112:324-335. [PMID: 32057817 DOI: 10.1016/j.neubiorev.2020.02.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 01/17/2020] [Accepted: 02/10/2020] [Indexed: 11/19/2022]
Abstract
Cannabis use is associated with increased risk of psychotic symptoms and in a small number of cases it can lead to psychoses. This review examines the neurobiological mechanisms that mediate the link between cannabis use and psychosis risk. We use an established preclinical model of psychosis, the methylazoxymethanol acetate (MAM) rodent model, as a framework to examine if psychosis risk in some cannabis users is mediated by the effects of cannabis on the hippocampus, and this region's role in the regulation of mesolimbic dopamine. We also examine how cannabis affects excitatory neurotransmission known to regulate hippocampal neural activity and output. Whilst there is clear evidence that cannabis/cannabinoids can affect hippocampal and medial temporal lobe function and structure, the evidence that cannabis/cannabinoids increase striatal dopamine function is less robust. There is limited evidence that cannabis use affects cortical and striatal glutamate levels, but there are currently too few studies to draw firm conclusions. Future work is needed to test the MAM model in relation to cannabis using multimodal neuroimaging approaches.
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Affiliation(s)
- Y Daniju
- Department of Psychology, University of Roehampton, London, UK
| | - M G Bossong
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands
| | - K Brandt
- Department of Psychology, University of Roehampton, London, UK
| | - P Allen
- Department of Psychology, University of Roehampton, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Icahn School of Medicine at Mount Sinai Hospital, New York, USA.
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46
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Neurometabolic correlates of 6 and 16 weeks of treatment with risperidone in medication-naive first-episode psychosis patients. Transl Psychiatry 2020; 10:15. [PMID: 32066680 PMCID: PMC7026447 DOI: 10.1038/s41398-020-0700-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 11/25/2019] [Accepted: 12/08/2019] [Indexed: 02/06/2023] Open
Abstract
Antipsychotic medications are the cornerstone of treatment in schizophrenia spectrum disorders. In first-episode psychosis, the recommended time for an antipsychotic medication trial is up to 16 weeks, but the biological correlates of shorter and longer antipsychotic treatment trials in these cohorts remain largely unknown. We enrolled 29 medication-naive first-episode patients (FEP) and 22 matched healthy controls (HC) in this magnetic resonance spectroscopy (MRS) study, examining the levels of combined glutamate and glutamine (commonly referred to as Glx) in the bilateral medial prefrontal cortex (MPFC) with a PRESS sequence (TR/TE = 2000/80 ms) before initiation of antipsychotic treatment, after 6 and 16 weeks of treatment with risperidone. Data were quantified in 18 HC and 20 FEP at baseline, for 19 HC and 15 FEP at week 6, and for 14 HC and 16 FEP at week 16. At baseline, none of the metabolites differed between groups. Metabolite levels did not change after 6 or 16 weeks of treatment in patients. Our data suggest that metabolite levels do not change after 6 or 16 weeks of treatment with risperidone in FEP. It is possible that our choice of sequence parameters and the limited sample size contributed to negative findings reported here. On the other hand, longer follow-up may be needed to detect treatment-related metabolic changes with MRS. In summary, our study adds to the efforts in better understanding glutamatergic neurometabolism in schizophrenia, especially as it relates to antipsychotic exposure.
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47
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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: 1.0] [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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48
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Wenneberg C, Glenthøj BY, Hjorthøj C, Buchardt Zingenberg FJ, Glenthøj LB, Rostrup E, Broberg BV, Nordentoft M. Cerebral glutamate and GABA levels in high-risk of psychosis states: A focused review and meta-analysis of 1H-MRS studies. Schizophr Res 2020; 215:38-48. [PMID: 31784336 DOI: 10.1016/j.schres.2019.10.050] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 10/21/2019] [Accepted: 10/24/2019] [Indexed: 12/24/2022]
Abstract
Disturbances in the brain glutamate and GABA (γ-aminobutyric acid) homeostasis may be markers of transition to psychosis in individuals at high-risk (HR). Knowledge of GABA and glutamate levels in HR stages could give an insight into changes in the neurochemistry underlying psychosis. Studies on glutamate in HR have provided conflicting data, and GABA studies have only recently been initialized. In this meta-analysis, we compared cerebral levels of glutamate and GABA in HR individuals with healthy controls (HC). We searched Medline and Embase for articles published on 1H-MRS studies on glutamate and GABA in HR states until April 9th, 2019. We identified a total of 28 eligible studies, of which eight reported GABA (243 HR, 356 HC) and 26 reported glutamate (299 HR, 279 HC) or Glx (glutamate + glutamine) (584 HR, 632 HC) levels. Sample sizes varied from 6 to 75 for HR and 10 to 184 for HC. Our meta-analysis of 1H-MRS studies on glutamate and GABA in HR states displayed significantly lower (P = 0.0003) levels of thalamic glutamate in HR individuals than in HC and significantly higher (P = 0.001) Glx in the frontal lobe of genetic HR individuals (1st-degree relatives) than in HC. No other significant differences in glutamate and GABA levels were found. Subject numbers in the studies on glutamate as well as GABA levels were generally small and the data conflicting. Our meta-analytical findings highlight the need for larger and more homogeneous studies of glutamate and GABA in high-risk states.
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Affiliation(s)
- Christina Wenneberg
- Copenhagen Research Center for Mental Health, CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15.4, 2900, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Ndr. Ringvej 29-67, 2600, Glostrup, Denmark.
| | - Birte Yding Glenthøj
- Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Ndr. Ringvej 29-67, 2600, Glostrup, Denmark.
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health, CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15.4, 2900, Hellerup, Denmark; University of Copenhagen, Department of Public Health, Section of Epidemiology, Øster Farimagsgade 5, Postboks 2099, 1014, Copenhagen K, Denmark.
| | - Frederik Johan Buchardt Zingenberg
- Copenhagen Research Center for Mental Health, CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15.4, 2900, Hellerup, Denmark.
| | - Louise Birkedal Glenthøj
- Copenhagen Research Center for Mental Health, CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15.4, 2900, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Ndr. Ringvej 29-67, 2600, Glostrup, Denmark.
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Ndr. Ringvej 29-67, 2600, Glostrup, Denmark.
| | - Brian Villumsen Broberg
- Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Ndr. Ringvej 29-67, 2600, Glostrup, Denmark.
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health, CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Gentofte Hospitalsvej 15.4, 2900, Hellerup, Denmark.
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49
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Li JN, Liu XL, Li L. Prefrontal GABA and glutamate levels correlate with impulsivity and cognitive function of prescription opioid addicts: A 1 H-magnetic resonance spectroscopy study. Psychiatry Clin Neurosci 2020; 74:77-83. [PMID: 31599080 DOI: 10.1111/pcn.12940] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 09/24/2019] [Accepted: 09/30/2019] [Indexed: 11/30/2022]
Abstract
AIM Prescription opioids are psychoactive substances that can elicit many neuropsychological effects. There are no studies that directly demonstrate the effects of prescription opioid addiction (POA) on the human brain. This study aimed to quantify γ-aminobutyric acid (GABA) and glutamate (Glu) levels in the prefrontal cortex (PFC) of POA patients using proton magnetic resonance spectroscopy (1 H-MRS), and to explore their association with impulsive behavior and cognitive impairment. METHODS Thirty-five patients with a definitive clinical diagnosis of codeine-containing cough syrup dependence and 35 matched healthy controls underwent neuropsychological assessments, namely the Barratt Impulsiveness Scale (BIS-11) and the Montreal Cognitive Assessment Scale (MoCA). Point-resolved spectroscopy was performed to detect GABA and glutamate within the medial PFC, and the corresponding levels were estimated using jMRUI and corrected for fraction of cerebrospinal fluid in the 1 H-MRS voxel. The difference in metabolite levels between groups and the correlation between metabolite levels and psychometric scores in patients were analyzed statistically. RESULTS The peak level predominantly consisting of GABA with a relatively small influence of other chemicals (GABA+) was lower and that of glutamate was higher in the PFC of POA patients than in healthy controls. GABA+ levels correlated negatively with BIS-11 scores but correlated positively with MoCA scores. In contrast, glutamate levels showed a positive correlation with BIS-11 scores but no significant correlation with MoCA scores. CONCLUSION The quantitative in vivo measurement of GABA and glutamate levels in the PFC by 1 H-MRS could be a reliable way to evaluate impulsivity and cognitive function of POA.
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Affiliation(s)
- Jian-Neng Li
- Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xi-Long Liu
- Department of Diagnostic Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Long Li
- Department of Radiology, Guangdong Provincial Corps Hospital of Chinese People's Armed Police Forces, Guangzhou Medical University, Guangzhou, China
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50
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Winterburn JL, Voineskos AN, Devenyi GA, Plitman E, de la Fuente-Sandoval C, Bhagwat N, Graff-Guerrero A, Knight J, Chakravarty MM. Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophr Res 2019; 214:3-10. [PMID: 29274736 DOI: 10.1016/j.schres.2017.11.038] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 11/24/2017] [Accepted: 11/29/2017] [Indexed: 10/18/2022]
Abstract
Machine learning is a powerful tool that has previously been used to classify schizophrenia (SZ) patients from healthy controls (HC) using magnetic resonance images. Each study, however, uses different datasets, classification algorithms, and validation techniques. Here, we perform a critical appraisal of the accuracy of machine learning methodologies used in SZ/HC classifications studies by comparing three machine learning algorithms (logistic regression [LR], support vector machines [SVMs], and linear discriminant analysis [LDA]) on three independent datasets (435 subjects total) using two tissue density estimates and cortical thickness (CT). Performance is assessed using 10-fold cross-validation, as well as a held-out validation set. Classification using CT outperformed tissue densities, but there was no clear effect of dataset. LR, SVMs, and LDA each yielded the highest accuracies for a different feature set and validation paradigm, but most accuracies were between 55 and 70%, well below previously reported values. The highest accuracy achieved was 73.5% using CT data and an SVM. Taken together, these results illustrate some of the obstacles to constructing effective disease classifiers, and suggest that tissue densities and CT may not be sufficiently sensitive for SZ/HC classification given current available methodologies and sample sizes.
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Affiliation(s)
- Julie L Winterburn
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, McGill University, Montreal, Quebec, Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Aristotle N Voineskos
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Gabriel A Devenyi
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Eric Plitman
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - 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
| | - Nikhil Bhagwat
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, McGill University, Montreal, Quebec, Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Ariel Graff-Guerrero
- Geriatric Mental Health Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jo Knight
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Data Science Institute and Medical School, Lancaster University, Bailrigg, United Kingdom
| | - M Mallar Chakravarty
- Computational Brain Anatomy Laboratory, Douglas Mental Health Institute, McGill University, Montreal, Quebec, Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
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