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Kristensen MWP, Biuk B, Nielsen J, Bojesen KB, Nielsen MØ. Glutamate, GABA and NAA in treatment-resistant schizophrenia: A systematic review of the effect of clozapine and group differences between clozapine-responders and non-responders. Behav Brain Res 2025; 479:115338. [PMID: 39566584 DOI: 10.1016/j.bbr.2024.115338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 10/30/2024] [Accepted: 11/12/2024] [Indexed: 11/22/2024]
Abstract
Treatment-resistance in patients with schizophrenia is a major obstacle for improving outcome in patients, especially in those not gaining from clozapine. Novel research implies that glutamatergic and GABAergic abnormalities may be present in treatment-resistant patients, and preclinical research suggests that clozapine affects the GABAergic system. Moreover, clozapine may have a neuroprotective role. To investigate these issues, we conducted a systematic review to evaluate the relationship between clozapine and in vivo measures of gamma-aminobutyric acid (GABA), glutamate (glu), and N-acetylaspartate (NAA) brain levels in treatment- and ultra-treatment-resistant schizophrenia patients (TRS and UTRS). Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we included three longitudinal and six cross sectional studies utilizing proton magnetic resonance spectroscopy (H-MRS) that explored brain metabolite levels in clozapine-treated patients. Findings were limited by a small number of studies and definite conclusions cannot be drawn, but the present studies may imply that clozapine reduces glutamate levels in striatal but not cortical areas, whereas glutamatergic metabolites and GABA levels may be increased in ACC in the combined group of TRS and UTRS. Clozapine may also increase NAA in cortical areas. Importantly, this review highlights the need for further clinical studies investigating the effect of clozapine on brain levels of glutamate, GABA, and NAA as well as metabolite group differences in patients with UTRS compared with TRS.
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Affiliation(s)
- Milo Wolfgang Pilgaard Kristensen
- Mental Health Centre Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen 2200, Denmark.
| | - Bahast Biuk
- Mental Health Centre Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen 2200, Denmark
| | - Jimmi Nielsen
- Mental Health Centre Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen 2200, Denmark
| | - Kirsten Borup Bojesen
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Mette Ødegaard Nielsen
- Mental Health Centre Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen 2200, Denmark
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Gee A, Dazzan P, Grace AA, Modinos G. Corticolimbic circuitry as a druggable target in schizophrenia spectrum disorders: a narrative review. Transl Psychiatry 2025; 15:21. [PMID: 39856031 DOI: 10.1038/s41398-024-03221-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 12/06/2024] [Accepted: 12/27/2024] [Indexed: 01/27/2025] Open
Abstract
Schizophrenia spectrum disorders (SSD) involve disturbances in the integration of perception, emotion and cognition. The corticolimbic system is an interacting set of cortical and subcortical brain regions critically involved in this process. Understanding how neural circuitry and molecular mechanisms within this corticolimbic system may contribute to the development of not only positive symptoms but also negative and cognitive deficits in SSD has been a recent focus of intense research, as the latter are not adequately treated by current antipsychotic medications and are more strongly associated with poorer functioning and long-term outcomes. This review synthesises recent developments examining corticolimbic dysfunction in the pathophysiology of SSD, with a focus on neuroimaging advances and related novel methodologies that enable the integration of data across different scales. We then integrate how these findings may inform the identification of novel therapeutic and preventive targets for SSD symptomatology. A range of pharmacological interventions have shown initial promise in correcting corticolimbic dysfunction and improving negative, cognitive and treatment-resistant symptoms. We discuss current challenges and opportunities for improving the still limited translation of these research findings into clinical practice. We argue how our knowledge of the role of corticolimbic dysfunction can be improved by combining multiple research modalities to examine hypotheses across different spatial and temporal scales, combining neuroimaging with experimental interventions and utilising large-scale consortia to advance biomarker identification. Translation of these findings into clinical practice will be aided by consideration of optimal intervention timings, biomarker-led patient stratification, and the development of more selective medications.
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Affiliation(s)
- Abigail Gee
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Anthony A Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gemma Modinos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
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3
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Wu G, Zhu T, Ma C, Xu L, Qian Z, Kong G, Cui H, Zhang T, Wang J, Tang Y. Association of abnormal cortical inhibition and clinical outcomes in patients at clinical high risk for psychosis. Clin Neurophysiol 2025; 169:65-73. [PMID: 39626344 DOI: 10.1016/j.clinph.2024.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 05/27/2024] [Accepted: 11/21/2024] [Indexed: 12/18/2024]
Abstract
OBJECTIVE Cortical inhibition (CI) can be in-vivo measured using transcranial magnetic stimulation (TMS), and patients with schizophrenia had abnormal CI. However, whether the abnormal CI occur early in patients with clinical high risk for psychosis (CHR) or could predict their clinical outcomes remains less known. METHODS We measured short-interval cortical inhibition (SICI), cortical silent period (CSP), and intra-cortical facilitation (ICF) over the motor cortex and neurocognitive performances in 55 CHR, 35 first-episode schizophrenia (FES), and 35 healthy controls (HC). We divided CHR patients into CHR converters (CHR-C) and CHR non-converters (CHR-NC) according to their clinical outcomes within the two-year follow-up. RESULTS CSP was longer in CHR-C (P = 0.033) and FES (P = 0.047) than in HC, while CSP was comparable between CHR-NC and HC. In CHR, CSP was negatively related to their performances in symbol coding and maze tasks. There was no significant between-group difference for either SICI or ICF. CONCLUSIONS Our findings suggested GABAB-mediated CSP was prolonged in CHR, who later converted into schizophrenia, and was associated with poor neurocognitive functions. SIGNIFICANCE CSP is prolonged before the onset of psychosis, particularly in CHR-C patients, suggesting that CSP could be a potential biomarker for predicting transition to schizophrenia.
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Affiliation(s)
- Guanfu Wu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianyuan Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Ma
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lihua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenying Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gai Kong
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huiru Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Fan X, Mao X, Yu P, Han D, Chen C, Wang H, Zhang X, Liu S, Chen W, Chen Z, Du X, Jin L, Song Y, Li H, Zhang N, Wu Y, Chang L, Wang C. Sleep disturbance impaired memory consolidation via lateralized disruption of metabolite in the thalamus and hippocampus: A cross-sectional proton magnetic resonance spectroscopy study. J Alzheimers Dis 2024; 102:1057-1073. [PMID: 39584303 DOI: 10.1177/13872877241295401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2024]
Abstract
BACKGROUND Memory consolidation in sleep-dependent individuals involves the circuitry connections of cortex, thalamus and hippocampus, regulating via neural metabolites. However, the disruption of metabolic pattern in thalamus and hippocampus remains unclear. OBJECTIVE We aim to explore the disruptive effects of insomnia on the metabolites during memory consolidation, particularly the underlying neurometabolic mechanisms in comorbidity of failed memory consolidation. METHODS This study integrates clinical research with animal experiment. In clinical research, 49 participants were divided into four groups: healthy controls (HC, n = 11), insomnia with normal cognition (IS, n = 14), mild cognitive impairment without insomnia (MCI, n = 10), and insomnia with mild cognitive impairment (IS-MCI, n = 14). Magnetic resonance spectroscopy (MRS) was used to evaluate the neural γ-aminobutyric acid (GABA) and glutamate-glutamine (Glx) in bilateral thalamus. In experimental studies, the rat model of sleep deprivation combined with amyloid-β (Aβ) injection was established, after behavior testing, the levels of Glx, choline (Cho) and N-acetyl aspartate (NAA) in the bilateral hippocampus were evaluated with MRS. RESULTS The patients in the IS-MCI group exhibited significantly lower GABA level than IS, MCI and HC groups. Results from rat studies showed that sleep deprivation exacerbated asymmetric alterations in Aβ-induced bilateral hippocampal metabolite abnormalities, which correlated with cognition. These neuro-metabolite disruption accompanied with synaptic loss and activation of astrocytes. CONCLUSIONS The lateralized decrease in GABA levels of thalamus and NAA, Cho, and Glx levels of hippocampus under conditions of sleep disturbance with cognitive decline may provide evidence for the neural metabolic mechanisms underlying the disruption of memory consolidation.
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Affiliation(s)
- Xiaowei Fan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Xin Mao
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Ping Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Ding Han
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Chuxin Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Hongqi Wang
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Xinyi Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Siyu Liu
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Weijing Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
| | - Ziyan Chen
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Xiaoqiang Du
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Liangyun Jin
- Electron Microscope Room of Central Laboratory, Capital Medical University, Beijing, China
| | - Yizhi Song
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Hui Li
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Ning Zhang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Capital Medical University, Beijing, China
| | - Yan Wu
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Lirong Chang
- Department of Anatomy, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Chunxue Wang
- Department of Neurology, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China
- Department of Neuropsychiatry and Behavioral Neurology and Clinical Psychology, Capital Medical University, Beijing, China
- Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
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5
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Fan L, Zhang Z, Ma X, Liang L, Wang Y, Yuan L, Ouyang L, Li Z, Chen X, He Y, Palaniyappan L. Glutamate levels and symptom burden in high-risk and first-episode schizophrenia: a dual-voxel study of the anterior cingulate cortex. J Psychiatry Neurosci 2024; 49:E367-E376. [PMID: 39542650 PMCID: PMC11573428 DOI: 10.1503/jpn.240094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/17/2024] Open
Abstract
BACKGROUND Reduced glutamatergic excitability of the anterior cingulate cortex (ACC) has been long suspected in schizophrenia; recent observations support low glutamatergic tone as the primary pathophysiology contributing to subtle early features of this illness, with a secondary disinhibition (higher glutamate tone) resulting in more prominent clinical symptoms later in its course. We sought to investigate whether people with genetic high risk (GHR) for schizophrenia have lower glutamate levels in the ACC than those at later stages of clinical high risk (CHR) and those with first-episode schizophrenia (FES), among whom symptoms are already prominent. METHODS We recruited people with CHR, GHR, or FES, as well as healthy controls. Using proton magnetic resonance spectroscopy, we determined glutamate levels in the perigenual ACC (pACC) and dorsal ACC (dACC) using a 3 T scanner. RESULTS We recruited 302 people across multiple stages of psychosis, including 63 with CHR, 76 with GHR, and 96 with FES, as well as 67 healthy controls. Those with GHR had lower glutamate levels in the dACC than those with CHR, while those with CHR had higher glutamate levels in the pACC than those with FES. Higher disorganization, but not any other symptom domain, was associated with lower levels of glutamate in the GHR group (dACC and pACC) and in the CHR group (pACC). LIMITATIONS The cross-sectional design precluded inferences regarding individual clinical trajectory and resolution at 3 T was insufficient to separate spectra of glutamine from glutamate. CONCLUSION Reduced glutamatergic tone among people genetically predisposed to schizophrenia supports diminished excitability as an early feature of schizophrenia, contributing to the subtle symptom of disorganization across high-risk states. Higher glutamate levels become apparent when psychotic symptoms become prominent, possibly as a disinhibitory effect and, at the full-blown stage of psychosis, the relationship between glutamate concentrations and symptoms ceases to be simply linear.
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Affiliation(s)
- Lejia Fan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Zhenmei Zhang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Xiaoqian Ma
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Liangbing Liang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Yujue Wang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Liu Yuan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Lijun Ouyang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Zongchang Li
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Xiaogang Chen
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Ying He
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Lena Palaniyappan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
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6
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Lopes JJ, Carruthers SP, Meyer D, Dean B, Rossell SL. Glutamatergic neurotransmission in schizophrenia: A systematic review and quantitative synthesis of proton magnetic resonance spectroscopy studies across schizophrenia spectrum disorders. Aust N Z J Psychiatry 2024; 58:930-951. [PMID: 38812258 PMCID: PMC11529133 DOI: 10.1177/00048674241254216] [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] [Indexed: 05/31/2024]
Abstract
OBJECTIVE Studies using proton magnetic resonance spectroscopy reveal substantial inconsistencies in the levels of brain glutamate, glutamine and glutamate + glutamine across schizophrenia spectrum disorders. This systematic review employs qualitative and quantitative methods to analyse the patterns and relationships between glutamatergic metabolites, schizophrenia spectrum disorders and brain regions. METHODS A literature search was conducted using various databases with keywords including glutamate, glutamine, schizophrenia, psychosis and proton magnetic resonance spectroscopy. Inclusion criteria were limited to case-control studies that reported glutamatergic metabolite levels in adult patients with a schizophrenia spectrum disorder diagnosis - i.e. first-episode psychosis, schizophrenia, treatment-resistant schizophrenia and/or ultra-treatment-resistant schizophrenia - using proton magnetic resonance spectroscopy at 3 T or above. Pooled study data were synthesized and analysed. RESULTS A total of 92 studies met the inclusion criteria, including 2721 healthy controls and 2822 schizophrenia spectrum disorder participants. Glu levels were higher in the basal ganglia, frontal cortex and medial prefrontal of first-episode psychosis participants, contrasting overall lower levels in schizophrenia participants. For Gln, strong differences in metabolite levels were evident in the basal ganglia, dorsolateral prefrontal cortex and frontal cortex, with first-episode psychosis showing significantly higher levels in the basal ganglia. In glutamate + glutamine, higher metabolite levels were found across schizophrenia spectrum disorder groups, particularly in the basal ganglia and dorsolateral prefrontal cortex of treatment-resistant schizophrenia participants. Significant relationships were found between metabolite levels and medication status, clinical measures and methodological variables. CONCLUSION The review highlights abnormal glutamatergic metabolite levels throughout schizophrenia spectrum disorders and in specific brain regions. The review underscores the importance of standardized future research assessing glutamatergic metabolites using proton magnetic resonance spectroscopy due to considerable literature heterogeneity.
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Affiliation(s)
- Jamie J Lopes
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Sean P Carruthers
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Denny Meyer
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Brian Dean
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
- Molecular Psychiatry Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Susan L Rossell
- Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, VIC, Australia
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7
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Uliana DL, Lisboa JRF, Gomes FV, Grace AA. The excitatory-inhibitory balance as a target for the development of novel drugs to treat schizophrenia. Biochem Pharmacol 2024; 228:116298. [PMID: 38782077 PMCID: PMC11410545 DOI: 10.1016/j.bcp.2024.116298] [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: 02/01/2024] [Revised: 05/13/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
The intricate balance between excitation and inhibition (E/I) in the brain plays a crucial role in normative information processing. Dysfunctions in the E/I balance have been implicated in various psychiatric disorders, including schizophrenia (SCZ). In particular, abnormalities in GABAergic signaling, specifically in parvalbumin (PV)-containing interneurons, have been consistently observed in SCZ pathophysiology. PV interneuron function is vital for maintaining an ideal E/I balance, and alterations in PV interneuron-mediated inhibition contribute to circuit deficits observed in SCZ, including hippocampus hyperactivity and midbrain dopamine system overdrive. While current antipsychotic medications primarily target D2 dopamine receptors and are effective primarily in treating positive symptoms, novel therapeutic strategies aiming to restore the E/I balance could potentially mitigate not only positive symptoms but also negative symptoms and cognitive deficits. This could involve, for instance, increasing the inhibitory drive onto excitatory neurons or decreasing the putative enhanced pyramidal neuron activity due to functional loss of PV interneurons. Compounds targeting the glycine site at glutamate NMDA receptors and muscarinic acetylcholine receptors on PV interneurons that can increase PV interneuron drive, as well as drugs that increase the postsynaptic action of GABA, such as positive allosteric modulators of α5-GABA-A receptors, and decrease glutamatergic output, such as mGluR2/3 agonists, represent promising approaches. Preventive strategies aiming at E/I balance also represent a path to reduce the risk of transitioning to SCZ in high-risk individuals. Therefore, compounds with novel mechanisms targeting E/I balance provide optimism for more effective and tailored interventions in the management of SCZ.
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Affiliation(s)
- Daniela L Uliana
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joao Roberto F Lisboa
- Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Felipe V Gomes
- Department of Pharmacology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Anthony A Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
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8
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Cory-Slechta DA, Marvin E, Welle K, Goeke C, Chalupa D, Oberdörster G, Sobolewski M. Male-biased vulnerability of mouse brain tryptophan/kynurenine and glutamate systems to adolescent exposures to concentrated ambient ultrafine particle air pollution. Neurotoxicology 2024; 104:20-35. [PMID: 39002649 PMCID: PMC11377152 DOI: 10.1016/j.neuro.2024.07.004] [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: 04/29/2024] [Revised: 06/27/2024] [Accepted: 07/06/2024] [Indexed: 07/15/2024]
Abstract
Air pollution (AP) exposures have been associated with numerous neurodevelopmental and psychiatric disorders, including autism spectrum disorder, attention deficit hyperactivity disorder and schizophrenia, all male-biased disorders with onsets from early life to late adolescence/early adulthood. While prior experimental studies have focused on effects of AP exposures during early brain development, brain development actually extends well into early adulthood. The current study in mice sought to extend the understanding of developmental brain vulnerability during adolescence, a later but significant period of brain development and maturation to the ultrafine particulate (UFPs) component of AP, considered its most reactive component. Additionally, it examined adolescent response to UFPs when preceded by earlier developmental exposures, to ascertain the trajectory of effects and potential enhancement or mitigation of adverse consequences. Outcomes focused on shared features associated with multiple neurodevelopmental disorders. For this purpose, C57Bl/6 J mice of both sexes were exposed to ambient concentrated UFPs or filtered air from PND (postnatal day) 4-7 and PND10-13, and again at PND39-42 and 45-49, resulting in 3 exposure postnatal/adolescent treatment groups per sex: Air/Air, Air/UFP, and UFP/UFP. Features common to neurodevelopmental disorders were examined at PND50. Mass exposure concentration from postnatal exposure averaged 44.34 μg/m3 and the adolescent exposure averaged 49.18 μg/m3. Male brain showed particular vulnerability to UFP exposures in adolescence, with alterations in frontal cortical and striatal glutamatergic and tryptophan/serotonergic neurotransmitters and concurrent reductions in levels of astrocytes in corpus callosum and in serum cytokine levels, with combined exposures resulting in significant reductions in corpus callosum myelination and serum corticosterone. Reductions in serum corticosterone in males correlated with reductions in neurotransmitter levels, and reductions in striatal glutamatergic function specifically correlated with reductions in corpus callosum astrocytes. UFP-induced changes in neurotransmitter levels in males were mitigated by prior postnatal exposure, suggesting potential adaptation, whereas reductions in corticosterone and in corpus callosum neuropathological effects were further strengthened by combined postnatal and adolescent exposures. UFP-induced changes in females occurred primarily in striatal dopamine systems and as reductions in serum cytokines only in response to combined postnatal and adolescent exposures. Findings in males underscore the importance of more integrated physiological assessments of mechanisms of neurotoxicity. Further, these findings provide biological plausibility for an accumulating epidemiologic literature linking air pollution to neurodevelopmental and psychiatric disorders. As such, they support a need for consideration of the regulation of the UFP component of air pollution.
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Affiliation(s)
- D A Cory-Slechta
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States.
| | - E Marvin
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
| | - K Welle
- Mass Spectrometry Resource Laboratory, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
| | - C Goeke
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
| | - D Chalupa
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
| | - G Oberdörster
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
| | - M Sobolewski
- Department of Environmental Medicine, University of Rochester Medical School, Box EHSC, Rochester, NY 14642, United States
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9
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Oliver D, Chesney E, Cullen AE, Davies C, Englund A, Gifford G, Kerins S, Lalousis PA, Logeswaran Y, Merritt K, Zahid U, Crossley NA, McCutcheon RA, McGuire P, Fusar-Poli P. Exploring causal mechanisms of psychosis risk. Neurosci Biobehav Rev 2024; 162:105699. [PMID: 38710421 PMCID: PMC11250118 DOI: 10.1016/j.neubiorev.2024.105699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/17/2024] [Accepted: 04/28/2024] [Indexed: 05/08/2024]
Abstract
Robust epidemiological evidence of risk and protective factors for psychosis is essential to inform preventive interventions. Previous evidence syntheses have classified these risk and protective factors according to their strength of association with psychosis. In this critical review we appraise the distinct and overlapping mechanisms of 25 key environmental risk factors for psychosis, and link these to mechanistic pathways that may contribute to neurochemical alterations hypothesised to underlie psychotic symptoms. We then discuss the implications of our findings for future research, specifically considering interactions between factors, exploring universal and subgroup-specific factors, improving understanding of temporality and risk dynamics, standardising operationalisation and measurement of risk and protective factors, and developing preventive interventions targeting risk and protective factors.
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Affiliation(s)
- Dominic Oliver
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK; Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Edward Chesney
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, London SE5 8AF, UK
| | - Alexis E Cullen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Amir Englund
- Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 4 Windsor Walk, London SE5 8AF, UK
| | - George Gifford
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sarah Kerins
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Yanakan Logeswaran
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Biostatistics & Health Informatics, King's College London, London, UK
| | - Kate Merritt
- Division of Psychiatry, Institute of Mental Health, UCL, London, UK
| | - Uzma Zahid
- Department of Psychology, King's College London, London, UK
| | - Nicolas A Crossley
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Chile
| | - Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Oxford Health NHS Foundation Trust, Oxford, UK
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK; NIHR Oxford Health Biomedical Research Centre, Oxford, UK; OPEN Early Detection Service, Oxford Health NHS Foundation Trust, Oxford, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS Service, South London and Maudsley NHS Foundation Trust, London SE11 5DL, UK
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10
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Crisp CM, Sahni A, Pang SW, Vanes LD, Szentgyorgyi T, Averbeck B, Moran RJ, Shergill SS. Deterioration in cognitive control related mPFC function underlying development of treatment resistance in early psychosis. Sci Rep 2024; 14:12985. [PMID: 38839828 PMCID: PMC11153613 DOI: 10.1038/s41598-024-63474-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 05/29/2024] [Indexed: 06/07/2024] Open
Abstract
One third of people with psychosis become antipsychotic treatment-resistant and the underlying mechanisms remain unclear. We investigated whether altered cognitive control function is a factor underlying development of treatment resistance. We studied 50 people with early psychosis at a baseline visit (mean < 2 years illness duration) and follow-up visit (1 year later), when 35 were categorized at treatment-responsive and 15 as treatment-resistant. Participants completed an emotion-yoked reward learning task that requires cognitive control whilst undergoing fMRI and MR spectroscopy to measure glutamate levels from Anterior Cingulate Cortex (ACC). Changes in cognitive control related activity (in prefrontal cortex and ACC) over time were compared between treatment-resistant and treatment-responsive groups and related to glutamate. Compared to treatment-responsive, treatment-resistant participants showed blunted activity in right amygdala (decision phase) and left pallidum (feedback phase) at baseline which increased over time and was accompanied by a decrease in medial Prefrontal Cortex (mPFC) activity (feedback phase) over time. Treatment-responsive participants showed a negative relationship between mPFC activity and glutamate levels at follow-up, no such relationship existed in treatment-resistant participants. Reduced activity in right amygdala and left pallidum at baseline was predictive of treatment resistance at follow-up (67% sensitivity, 94% specificity). The findings suggest that deterioration in mPFC function over time, a key cognitive control region needed to compensate for an initial dysfunction within a social-emotional network, is a factor underlying development of treatment resistance in early psychosis. An uncoupling between glutamate and cognitive control related mPFC function requires further investigation that may present a future target for interventions.
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Affiliation(s)
- Charlotte M Crisp
- School of Psychological Sciences, University of Bristol, 12a Priory Road, Bristol, BS8 1TU, UK.
| | - Angad Sahni
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Sze W Pang
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Lucy D Vanes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Timea Szentgyorgyi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Bruno Averbeck
- Laboratory of Neuropsychology, National Institute for Mental Health, Bethesda, Bethesda, MD, 20814, USA
| | - Rosalyn J Moran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Sukhwinder S Shergill
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
- Kent and Medway Medical School, University of Kent, Parkwood Road, Kent, CT2 7FS, UK
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11
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Faris P, Pischedda D, Palesi F, D’Angelo E. New clues for the role of cerebellum in schizophrenia and the associated cognitive impairment. Front Cell Neurosci 2024; 18:1386583. [PMID: 38799988 PMCID: PMC11116653 DOI: 10.3389/fncel.2024.1386583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/26/2024] [Indexed: 05/29/2024] Open
Abstract
Schizophrenia (SZ) is a complex neuropsychiatric disorder associated with severe cognitive dysfunction. Although research has mainly focused on forebrain abnormalities, emerging results support the involvement of the cerebellum in SZ physiopathology, particularly in Cognitive Impairment Associated with SZ (CIAS). Besides its role in motor learning and control, the cerebellum is implicated in cognition and emotion. Recent research suggests that structural and functional changes in the cerebellum are linked to deficits in various cognitive domains including attention, working memory, and decision-making. Moreover, cerebellar dysfunction is related to altered cerebellar circuit activities and connectivity with brain regions associated with cognitive processing. This review delves into the role of the cerebellum in CIAS. We initially consider the major forebrain alterations in CIAS, addressing impairments in neurotransmitter systems, synaptic plasticity, and connectivity. We then focus on recent findings showing that several mechanisms are also altered in the cerebellum and that cerebellar communication with the forebrain is impaired. This evidence implicates the cerebellum as a key component of circuits underpinning CIAS physiopathology. Further studies addressing cerebellar involvement in SZ and CIAS are warranted and might open new perspectives toward understanding the physiopathology and effective treatment of these disorders.
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Affiliation(s)
- Pawan Faris
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Doris Pischedda
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Fulvia Palesi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Egidio D’Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Digital Neuroscience Center, IRCCS Mondino Foundation, Pavia, Italy
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12
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Kim M, Choi W, Choi S, Oh H, Kim J, Lee J, An SJ, Hwang JS, Lee YS, Song IC, Moon SY, Lho SK, Cho SS, Kwon JS. In Vivo Reactive Astrocyte Imaging in Patients With Schizophrenia Using Fluorine 18-Labeled THK5351. JAMA Netw Open 2024; 7:e2410684. [PMID: 38722627 PMCID: PMC11082693 DOI: 10.1001/jamanetworkopen.2024.10684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 03/03/2024] [Indexed: 05/12/2024] Open
Abstract
Importance In vivo imaging studies of reactive astrocytes are crucial for understanding the pathophysiology of schizophrenia because astrocytes play a critical role in glutamate imbalance and neuroinflammation. Objective To investigate in vivo reactive astrocytes in patients with schizophrenia associated with positive symptoms using monoamine oxidase B (MAO-B)-binding fluorine 18 ([18F])-labeled THK5351 positron emission tomography (PET). Design, Setting, and Participants In this case-control study, data were collected from October 1, 2021, to January 31, 2023, from the internet advertisement for the healthy control group and from the outpatient clinics of Seoul National University Hospital in Seoul, South Korea, for the schizophrenia group. Participants included patients with schizophrenia and age- and sex-matched healthy control individuals. Main Outcomes and Measures Standardized uptake value ratios (SUVrs) of [18F]THK5351 in the anterior cingulate cortex (ACC) and hippocampus as primary regions of interest (ROIs), with other limbic regions as secondary ROIs, and the correlation between altered SUVrs and Positive and Negative Syndrome Scale (PANSS) positive symptom scores. Results A total of 68 participants (mean [SD] age, 32.0 [7.0] years; 41 men [60.3%]) included 33 patients with schizophrenia (mean [SD] age, 32.3 [6.3] years; 22 men [66.7%]) and 35 healthy controls (mean [SD] age, 31.8 [7.6] years; 19 men [54.3%]) who underwent [18F]THK5351 PET scanning. Patients with schizophrenia showed significantly higher SUVrs in the bilateral ACC (left, F = 5.767 [false discovery rate (FDR)-corrected P = .04]; right, F = 5.977 [FDR-corrected P = .04]) and left hippocampus (F = 4.834 [FDR-corrected P = .04]) than healthy controls. Trend-level group differences between the groups in the SUVrs were found in the secondary ROIs (eg, right parahippocampal gyrus, F = 3.387 [P = .07]). There were positive correlations between the SUVrs in the bilateral ACC and the PANSS positive symptom scores (left, r = 0.423 [FDR-corrected P = .03]; right, r = 0.406 [FDR-corrected P = .03]) in patients with schizophrenia. Conclusions and Relevance This case-control study provides novel in vivo imaging evidence of reactive astrocyte involvement in the pathophysiology of schizophrenia. Reactive astrocytes in the ACC may be a future target for the treatment of symptoms of schizophrenia, especially positive symptoms.
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Affiliation(s)
- Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Woori Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Harin Oh
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jongrak Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jungha Lee
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Su-Jin An
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jun Seo Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Yun-Sang Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - In Chan Song
- Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Public Health Medical Services, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Psychiatry, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Sang Soo Cho
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, Seoul National University–Medical Research Center, Seoul, Republic of Korea
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13
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Okada N, Yahata N, Koshiyama D, Morita K, Sawada K, Kanata S, Fujikawa S, Sugimoto N, Toriyama R, Masaoka M, Koike S, Araki T, Kano Y, Endo K, Yamasaki S, Ando S, Nishida A, Hiraiwa-Hasegawa M, Edden RAE, Sawa A, Kasai K. Longitudinal trajectories of anterior cingulate glutamate and subclinical psychotic experiences in early adolescence: the impact of bullying victimization. Mol Psychiatry 2024; 29:939-950. [PMID: 38182806 PMCID: PMC11176069 DOI: 10.1038/s41380-023-02382-8] [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: 01/08/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 01/07/2024]
Abstract
Previous studies reported decreased glutamate levels in the anterior cingulate cortex (ACC) in non-treatment-resistant schizophrenia and first-episode psychosis. However, ACC glutamatergic changes in subjects at high-risk for psychosis, and the effects of commonly experienced environmental emotional/social stressors on glutamatergic function in adolescents remain unclear. In this study, adolescents recruited from the general population underwent proton magnetic resonance spectroscopy (MRS) of the pregenual ACC using a 3-Tesla scanner. We explored longitudinal data on the association of combined glutamate-glutamine (Glx) levels, measured by MRS, with subclinical psychotic experiences. Moreover, we investigated associations of bullying victimization, a risk factor for subclinical psychotic experiences, and help-seeking intentions, a coping strategy against stressors including bullying victimization, with Glx levels. Finally, path analyses were conducted to explore multivariate associations. For a contrast analysis, gamma-aminobutyric acid plus macromolecule (GABA+) levels were also analyzed. Negative associations were found between Glx levels and subclinical psychotic experiences at both Times 1 (n = 219, mean age 11.5 y) and 2 (n = 211, mean age 13.6 y), as well as for over-time changes (n = 157, mean interval 2.0 y). Moreover, effects of bullying victimization and bullying victimization × help-seeking intention interaction effects on Glx levels were found (n = 156). Specifically, bullying victimization decreased Glx levels, whereas help-seeking intention increased Glx levels only in bullied adolescents. Finally, associations among bullying victimization, help-seeking intention, Glx levels, and subclinical psychotic experiences were revealed. GABA+ analysis revealed no significant results. This is the first adolescent study to reveal longitudinal trajectories of the association between glutamatergic function and subclinical psychotic experiences and to elucidate the effect of commonly experienced environmental emotional/social stressors on glutamatergic function. Our findings may deepen the understanding of how environmental emotional/social stressors induce impaired glutamatergic neurotransmission that could be the underpinning of liability for psychotic experiences in early adolescence.
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Affiliation(s)
- Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan.
| | - Noriaki Yahata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Anagawa 4-9-1, Inage-ku, Chiba, Chiba, 263-8555, Japan
- Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Anagawa 4-9-1, Inage-ku, Chiba, Chiba, 263-8555, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kingo Sawada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Center for Research on Counseling and Support Services, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Sho Kanata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Psychiatry, Teikyo University School of Medicine, Kaga 2-11-1, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Noriko Sugimoto
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Rie Toriyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Mio Masaoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
- The University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Psychiatry, Teikyo University Mizonokuchi Hospital, Futago 5-1-1, Takatsu-ku, Kawasaki, Kanagawa, 213-8507, Japan
| | - Yukiko Kano
- Department Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kaori Endo
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Syudo Yamasaki
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Atsushi Nishida
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Mariko Hiraiwa-Hasegawa
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University for Advanced Studies (SOKENDAI), Shonan Village, Hayama, Kanagawa, 240-0193, Japan
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, MD, 21205, USA
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Biomedical Engineering, Genetic Medicine, and Pharmacology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, 600 N Wolfe St, Baltimore, MD, 21287, USA
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
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14
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Fan L, Liang L, Wang Y, Ma X, Yuan L, Ouyang L, He Y, Li Z, Li C, Chen X, Palaniyappan L. Glutamatergic basis of antipsychotic response in first-episode psychosis: a dual voxel study of the anterior cingulate cortex. Neuropsychopharmacology 2024; 49:845-853. [PMID: 37752221 PMCID: PMC10948866 DOI: 10.1038/s41386-023-01741-x] [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: 06/12/2023] [Revised: 07/31/2023] [Accepted: 09/11/2023] [Indexed: 09/28/2023]
Abstract
A subgroup of patients with schizophrenia is believed to have aberrant excess of glutamate in the frontal cortex; this subgroup is thought to show poor response to first-line antipsychotic treatments that focus on dopamine blockade. If we can identify this subgroup early in the course of illness, we can reduce the repeated use of first-line antipsychotics and potentially stratify first-episode patients to intervene early with second-line treatments such as clozapine. The use of proton magnetic resonance spectroscopy (1H-MRS) to measure glutamate and Glx (glutamate plus glutamine) may provide a means for such a stratification. We must first establish if there is robust evidence linking elevations in anterior cingulate cortex (ACC) glutamate metabolites to poor response, and determine if the use of antipsychotics worsens the glutamatergic excess in eventual nonresponders. In this study, we estimated glutamate levels at baseline in 42 drug-naive patients with schizophrenia. We then treated them all with risperidone at a standard dose range of 2-6 mg/day and followed them up for 3 months to categorize their response status. We expected to see baseline "hyperglutamatergia" in nonresponders, and expected this to worsen over time at the follow-up. In line with our predictions, nonresponders had higher glutamate than responders, but patients as a group did not differ in glutamate and Glx from the healthy control (HC) group before treatment-onset (F1,79 = 3.20, p = 0.046, partial η2 = 0.075). Glutamatergic metabolites did not change significantly over time in both nonresponders and responders over the 3 months of antipsychotic exposure (F1,31 = 1.26, p = 0.270, partial η2 = 0.039). We conclude that the use of antipsychotics without prior knowledge of later response delays symptom relief in a subgroup of first-episode patients, but does not worsen the glutamatergic excess seen at the baseline. Given the current practice of nonstratified use of antipsychotics, longer-time follow-up MRS studies are required to see if improvement in symptoms accompanies a dynamic shift in glutamate profile.
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Affiliation(s)
- Lejia Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Liangbing Liang
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Yujue Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
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15
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King B, Kempton MJ, Broberg BV, Merritt K, Barker GJ, Lythgoe DJ, Perez-Iglesias R, Baandrup L, Düring SW, Stone JM, Rostrup E, Sommer IE, Glenthøj B, Kahn RS, Dazzan P, McGuire PK, Egerton A. A letter to the editor: The effects of alcohol use on brain glutamate in first episode psychosis. Schizophr Res 2024; 266:234-236. [PMID: 38430851 DOI: 10.1016/j.schres.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 02/02/2024] [Accepted: 02/12/2024] [Indexed: 03/05/2024]
Affiliation(s)
- Bridget King
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Brian V Broberg
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Kate Merritt
- Division of Psychiatry, Institute of Mental Health, UCL, London, United Kingdom
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Rocio Perez-Iglesias
- Department of Psychiatry, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain
| | - Lone Baandrup
- Mental Health Centre Copenhagen, Mental Health Services of the Capital Region, Denmark and Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Signe W Düring
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - James M Stone
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom; Sussex Partnership NHS Foundation Trust, Eastbourne, BN21 2UD, United Kingdom
| | - Egill Rostrup
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
| | - Iris E Sommer
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Birte Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research, CNSR, and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine - BG, Denmark
| | - René S Kahn
- Department of Psychiatry and Behavioural Health System, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, United States of America
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Philip K McGuire
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Department of Health, Oxford Health National Health Service Foundation Trust, Oxford, United Kingdom; National Institute for Health and Care Research Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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16
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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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17
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Krzyściak W, Bystrowska B, Karcz P, Chrzan R, Bryll A, Turek A, Mazur P, Śmierciak N, Szwajca M, Donicz P, Furman K, Pilato F, Kozicz T, Popiela T, Pilecki M. Association of Blood Metabolomics Biomarkers with Brain Metabolites and Patient-Reported Outcomes as a New Approach in Individualized Diagnosis of Schizophrenia. Int J Mol Sci 2024; 25:2294. [PMID: 38396971 PMCID: PMC10888632 DOI: 10.3390/ijms25042294] [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: 01/10/2024] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Given its polygenic nature, there is a need for a personalized approach to schizophrenia. The aim of the study was to select laboratory biomarkers from blood, brain imaging, and clinical assessment, with an emphasis on patients' self-report questionnaires. Metabolomics studies of serum samples from 51 patients and 45 healthy volunteers, based on the liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS/MS), led to the identification of 3 biochemical indicators (cortisol, glutamate, lactate) of schizophrenia. These metabolites were sequentially correlated with laboratory tests results, imaging results, and clinical assessment outcomes, including patient self-report outcomes. The hierarchical cluster analysis on the principal components (HCPC) was performed to identify the most homogeneous clinical groups. Significant correlations were noted between blood lactates and 11 clinical and 10 neuroimaging parameters. The increase in lactate and cortisol were significantly associated with a decrease in immunological parameters, especially with the level of reactive lymphocytes. The strongest correlations with the level of blood lactate and cortisol were demonstrated by brain glutamate, N-acetylaspartate and the concentrations of glutamate and glutamine, creatine and phosphocreatine in the prefrontal cortex. Metabolomics studies and the search for associations with brain parameters and self-reported outcomes may provide new diagnostic evidence to specific schizophrenia phenotypes.
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Affiliation(s)
- Wirginia Krzyściak
- Department of Medical Diagnostics, Jagiellonian University Medical College, Faculty of Pharmacy, 30-688 Krakow, Poland;
| | - Beata Bystrowska
- Department of Biochemical Toxicology, Jagiellonian University Medical College, Faculty of Pharmacy, 30-688 Krakow, Poland;
| | - Paulina Karcz
- Department of Electroradiology, Jagiellonian University Medical College, Faculty of Health Sciences, 31-126 Krakow, Poland;
| | - Robert Chrzan
- Department of Radiology, Jagiellonian University Medical College, Faculty of Medicine, 31-503 Krakow, Poland; (R.C.); (A.B.); (T.P.)
| | - Amira Bryll
- Department of Radiology, Jagiellonian University Medical College, Faculty of Medicine, 31-503 Krakow, Poland; (R.C.); (A.B.); (T.P.)
| | - Aleksander Turek
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
| | - Paulina Mazur
- Department of Medical Diagnostics, Jagiellonian University Medical College, Faculty of Pharmacy, 30-688 Krakow, Poland;
| | - Natalia Śmierciak
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
| | - Marta Szwajca
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
| | - Paulina Donicz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
| | - Katarzyna Furman
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
| | - Fabio Pilato
- Neurology, Neurophysiology and Neurobiology Unit, Department of Medicine, Università Campus Bio-Medico di Roma, 00128 Rome, Italy;
| | - Tamas Kozicz
- Department of Clinical Genomics, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA;
| | - Tadeusz Popiela
- Department of Radiology, Jagiellonian University Medical College, Faculty of Medicine, 31-503 Krakow, Poland; (R.C.); (A.B.); (T.P.)
| | - Maciej Pilecki
- Department of Child and Adolescent Psychiatry and Psychotherapy, Faculty of Medicine, Jagiellonian University Medical College, 31-501 Krakow, Poland; (A.T.); (N.Ś.); (M.S.); (P.D.); (K.F.); (M.P.)
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18
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van der Pluijm M, Alting M, Schrantee A, Edden RAE, Booij J, de Haan L, van de Giessen E. Glutamate and GABA levels in the anterior cingulate cortex in treatment resistant first episode psychosis patients. Schizophr Res 2024; 264:471-478. [PMID: 38277736 DOI: 10.1016/j.schres.2024.01.025] [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: 07/28/2023] [Revised: 12/12/2023] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Around 30 % of schizophrenia patients do not respond sufficiently to conventional antipsychotic treatment. Glutamate and γ-aminobutyric acid (GABA) may be implicated in treatment resistant (TR) patients. Some data indicate that TR patients show increased glutamate levels compared to responders, but findings are inconclusive and limited in the early disease stage. Furthermore, the two neurotransmitters have rarely been assessed in conjunction. We therefore aimed to investigate the role of GABA+ and glutamate in first episode TR patients and explore whether these neurometabolites could be potential predictive markers for TR schizophrenia. STUDY DESIGN We used proton magnetic resonance spectroscopy (MRS) to assess glutamate + glutamine (Glx) and GABA including macromolecules (GABA+) in the anterior cingulate cortex (ACC) of 58 first episode psychosis patients. At six months follow-up treatment response was determined and in a subgroup of 33 patients a follow-up MRS scan was acquired. STUDY RESULTS Glx and GABA+ levels were not significantly different between TR patients and responders at baseline and the levels did not change at six months follow-up. The groups differed in voxel fractions, which could have influenced our results even though we corrected for these differences. CONCLUSIONS Our findings do not provide evidence that ACC Glx or GABA+ levels are potential biomarkers for TR in first episode psychosis. Future research needs to take in to account voxel fractions and report potential differences. Comparison with previous literature suggests that illness duration, clozapine responsiveness and medication effects may partly explain the heterogeneous results on Glx and GABA+ levels in TR.
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Affiliation(s)
- Marieke van der Pluijm
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands.
| | - Maartje Alting
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, the Netherlands
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19
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Mohan KN. Editorial: New insights into investigating schizophrenia as a disorder of molecular pathways. Front Mol Neurosci 2024; 17:1360616. [PMID: 38274843 PMCID: PMC10805877 DOI: 10.3389/fnmol.2024.1360616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 01/02/2024] [Indexed: 01/27/2024] Open
Affiliation(s)
- Kommu Naga Mohan
- Molecular Biology and Genetics Laboratory, Department of Biological Sciences, BITS Pilani Hyderabad Campus, Hyderabad, India
- Centre for Human Disease Research, BITS Pilani Hyderabad Campus, Hyderabad, India
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20
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Singh U, Das B, Khanra S, Roy C. Resting state and activated brain glutamate-glutamine, brain lactate, cognition, and psychopathology among males with schizophrenia: A 3 Tesla proton magnetic resonance spectroscopic (1H-MRS) study. Indian J Psychiatry 2024; 66:82-89. [PMID: 38419937 PMCID: PMC10898519 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_621_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/09/2023] [Accepted: 12/25/2023] [Indexed: 03/02/2024] Open
Abstract
Background Research on glutamate (Glu) in schizophrenia has so far been inconclusive. Based on preclinical studies on Glu lactate interaction, researchers have now focused on brain lactate level as a sign of major pathology, including cognitive dysfunctions in the brain. Our study aimed to examine changes at resting and activated states in brain lactate and Glu-glutamine (Glx) at the anterior cingulate cortex (ACC) in schizophrenia. Methods A hospital-based prospective study was conducted with twenty-two male cases of schizophrenia and matched healthy controls (HCs). Positive and Negative Syndrome Scale (PANSS), Montreal Cognitive Assessment (MoCA), and Stroop tasks were administered among patients. Brain lactate and Glx at ACC were measured at resting state and during the Stroop test with proton magnetic resonance spectroscopy (1H-MRS) both at baseline and at remission and once among HC. Result Though MoCA scores improved significantly (P < 0.001) at remission from baseline among cases, repeated-measures analysis of variance (RM-ANOVA) did not find a significant time effect for Glx (P = 0.82) and lactate (P = 0.30) among cases from baseline to remission. Glx and lactate changed differently from baseline to remission. Conclusion Our study did not find significant differences in Glx and lactate between schizophrenia patients and HC. No significant time effect on Glx and lactate was observed from baseline to remission among schizophrenia cases. Different changes observed in Glx and lactate from baseline to remission require replication in future studies with larger sample size, longer follow-up period, and multivoxel MR assessment.
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Affiliation(s)
- Ujjwal Singh
- Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand, India
| | - Basudeb Das
- Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand, India
| | - Sourav Khanra
- Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand, India
| | - Chandramouli Roy
- Department of Psychiatry, Central Institute of Psychiatry, Ranchi, Jharkhand, India
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21
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Murray AJ, Humpston CS, Wilson M, Rogers JC, Zia Ul Haq Katshu M, Liddle PF, Upthegrove R. Measurement of brain glutathione with magnetic Resonance spectroscopy in Schizophrenia-Spectrum disorders - A systematic review and Meta-Analysis. Brain Behav Immun 2024; 115:3-12. [PMID: 37769980 DOI: 10.1016/j.bbi.2023.09.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 09/14/2023] [Accepted: 09/23/2023] [Indexed: 10/03/2023] Open
Abstract
Oxidative stress may contribute to declining course and poor outcomes in psychosis. However, in vivo Magnetic Resonance Spectroscopy studies yield disparate results due to clinical stage, sample demographics, neuroanatomical focus, sample size, and acquisition method variations. We investigated glutathione in brain regions from participants with psychosis, and the relation of glutathione to clinical features and spectroscopy protocols. Meta-analysis comprised 21 studies. Glutathione levels did not differ between total psychosis patients (N = 639) and controls (N = 704) in the Medial Prefrontal region (k = 21, d = -0.09, CI = -0.28 to 0.10, p = 0.37). Patients with stable schizophrenia exhibited a small but significant glutathione reduction compared to controls (k = 14, d = -0.20, CI = -0.40 to -0.00, p = 0.05). Meta-regression showed older studies had greater glutathione reductions, possibly reflecting greater accuracy related to spectroscopy advancements in more recent studies. No significant effects of methodological variables, such as voxel size or echo time were found. Reduced glutathione in patients with stable established schizophrenia may provide novel targets for precision medicine. Standardizing MRS acquisition methods in future studies may help address discrepancies in glutathione levels.
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Affiliation(s)
- Alex J Murray
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom.
| | - Clara S Humpston
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Department of Psychology, University of York, York, United Kingdom
| | - Martin Wilson
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Jack C Rogers
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, Division of Mental Health and Clinical Neurosciences, University of Nottingham, Nottingham, United Kingdom; Nottinghamshire Healthcare National Health Service Foundation Trust, Nottingham, United Kingdom
| | - Peter F Liddle
- Institute of Mental Health, Division of Mental Health and Clinical Neurosciences, University of Nottingham, Nottingham, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom; Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, United Kingdom; Early Intervention Service, Birmingham Women's and Children's National Health Service Foundation Trust, Birmingham, United Kingdom
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22
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Howes OD, Bukala BR, Beck K. Schizophrenia: from neurochemistry to circuits, symptoms and treatments. Nat Rev Neurol 2024; 20:22-35. [PMID: 38110704 DOI: 10.1038/s41582-023-00904-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 12/20/2023]
Abstract
Schizophrenia is a leading cause of global disability. Current pharmacotherapy for the disease predominantly uses one mechanism - dopamine D2 receptor blockade - but often shows limited efficacy and poor tolerability. These limitations highlight the need to better understand the aetiology of the disease to aid the development of alternative therapeutic approaches. Here, we review the latest meta-analyses and other findings on the neurobiology of prodromal, first-episode and chronic schizophrenia, and the link to psychotic symptoms, focusing on imaging evidence from people with the disorder. This evidence demonstrates regionally specific neurotransmitter alterations, including higher glutamate and dopamine measures in the basal ganglia, and lower glutamate, dopamine and γ-aminobutyric acid (GABA) levels in cortical regions, particularly the frontal cortex, relative to healthy individuals. We consider how dysfunction in cortico-thalamo-striatal-midbrain circuits might alter brain information processing to underlie psychotic symptoms. Finally, we discuss the implications of these findings for developing new, mechanistically based treatments and precision medicine for psychotic symptoms, as well as negative and cognitive symptoms.
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Affiliation(s)
- Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Faculty of Medicine, Institute of Clinical Sciences, Imperial College London, London, UK.
| | - Bernard R Bukala
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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Belkacem A, Lavigne KM, Makowski C, Chakravarty M, Joober R, Malla A, Shah J, Lepage M. Effects of Anticholinergic Burden on Verbal Memory Performance in First-Episode Psychosis. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2023; 68:894-903. [PMID: 37254533 PMCID: PMC10657580 DOI: 10.1177/07067437231179161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVES Antipsychotics are widely used to treat first-episode psychosis but may have an anticholinergic burden, that is, a cumulative effect of medications that block the cholinergic system. Studies suggest that a high anticholinergic burden negatively affects memory in psychosis, where cognitive deficits, particularly those in verbal memory, are a core feature of the disease. The present study sought to replicate this in a large cohort of well-characterized first-episode psychosis patients. We expected that patients in the highest anticholinergic burden group would exhibit the poorest verbal memory compared to those with low anticholinergic burden and healthy controls at baseline (3 months following admission). We further hypothesized that over time, at month 12, patients' verbal memory performance would improve but would remain inferior to controls. METHODS Patients (n = 311; low anticholinergic burden [n = 241] and high anticholinergic burden [n = 70], defined by a Drug Burden Index cut-off of 1) and healthy controls (n = 128) completed a clinical and neurocognitive battery including parts of the Wechsler Memory Scale at months 3 and 12. RESULTS Cross-sectionally, using an analysis of variance, patients in the highest anticholinergic burden group had the poorest performance in verbal memory when compared to the other groups at month 3, F(2,430) = 52.33, P < 0.001. Longitudinally, using a Generalized Estimating Equation model, the verbal memory performance of all groups improved over time. However, patients' performance overall remained poorer than the controls. CONCLUSION These findings highlight the importance of considering the anticholinergic burden when prescribing medications in the early stages of the disease.
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Affiliation(s)
- Agnès Belkacem
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Katie M. Lavigne
- Douglas Research Centre, McGill University, Montreal, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Carolina Makowski
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | | | - Ridha Joober
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Ashok Malla
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Jai Shah
- Douglas Research Centre, McGill University, Montreal, Canada
| | - Martin Lepage
- Douglas Research Centre, McGill University, Montreal, Canada
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24
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Stein A, Zhu C, Du F, Öngür D. Magnetic Resonance Spectroscopy Studies of Brain Energy Metabolism in Schizophrenia: Progression from Prodrome to Chronic Psychosis. Curr Psychiatry Rep 2023; 25:659-669. [PMID: 37812338 DOI: 10.1007/s11920-023-01457-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 10/10/2023]
Abstract
PURPOSE OF REVIEW Schizophrenia (SZ) is a debilitating mental illness; existing treatments are partially effective and associated with significant side effect burden, largely due to our limited understanding of disease mechanisms and the trajectory of disease progression. Accumulating evidence suggests that metabolic changes associated with glucose metabolism, mitochondrial dysfunction, and redox imbalance play an important role in the pathophysiology of schizophrenia. However, the molecular mechanisms associated with these abnormalities in the brains of schizophrenia patients and the ways in which they change over time remain unclear. This paper aims to review the current literature on molecular mechanisms and in vivo magnetic resonance spectroscopy (MRS) studies of impaired energy metabolism in patients at clinical high risk for psychosis, with first-episode SZ, and with chronic SZ. Our review covers research related to high-energy phosphate metabolism, lactate, intracellular pH, redox ratio, and the antioxidant glutathione. RECENT FINDINGS Both first-episode and chronic SZ patients display a significant reduction in creatine kinase reaction activity and redox (NAD + /NADH) ratio in the prefrontal cortex. Chronic, but not first-episode, SZ patients also show a trend toward increased lactate levels and decreased pH value. These findings suggest a progressive shift from oxidative phosphorylation to glycolysis for energy production over the course of SZ, which is associated with redox imbalance and mitochondrial dysfunction. Accumulating evidence indicates that aberrant brain energy metabolism associated with mitochondrial dysfunction and redox imbalance plays a critical role in SZ and will be a promising target for future treatments.
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Affiliation(s)
- Abigail Stein
- Psychotic Disorders Division, McLean Hospital, Belmont, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, 02478, USA
| | - Chenyanwen Zhu
- Psychotic Disorders Division, McLean Hospital, Belmont, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, 02478, USA
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Belmont, 02478, USA.
- McLean Imaging Center, McLean Hospital, Belmont, 02478, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Belmont, 02478, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
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Tan J, Zhang G, Hao J, Cai H, Wu D, Su Z, Liu B, Wu M. Progress in the application of molecular imaging in psychiatric disorders. PSYCHORADIOLOGY 2023; 3:kkad020. [PMID: 38666107 PMCID: PMC10917387 DOI: 10.1093/psyrad/kkad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 09/20/2023] [Accepted: 10/06/2023] [Indexed: 04/28/2024]
Abstract
Psychiatric disorders have always attracted a lot of attention from researchers due to the difficulties in their diagnoses and treatments. Molecular imaging, as an emerging technology, has played an important role in the researchers of various diseases. In recent years, molecular imaging techniques including magnetic resonance spectroscopy, nuclear medicine imaging, and fluorescence imaging have been widely used in the study of psychiatric disorders. This review will briefly summarize the progression of molecular imaging in psychiatric disorders.
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Affiliation(s)
- Jia Tan
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Guangying Zhang
- Department of Radiology, Banan People's Hospital, Chongqing Medical University, Chongqing 400037, China
| | - Jiaqi Hao
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Huawei Cai
- Department of Nuclear Medicine and Laboratory of Clinical Nuclear Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Dingping Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhuoxiao Su
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Beibei Liu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Min Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
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26
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Stanley JA, Daugherty AM, Gorey CR, Thomas P, Khatib D, Chowdury A, Rajan U, Haddad L, Amirsadri A, Diwadkar VA. Basal glutamate in the hippocampus and the dorsolateral prefrontal cortex in schizophrenia: Relationships to cognitive proficiency investigated with structural equation modelling. World J Biol Psychiatry 2023; 24:730-740. [PMID: 36999359 PMCID: PMC10591941 DOI: 10.1080/15622975.2023.2197653] [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: 10/17/2022] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 04/01/2023]
Abstract
OBJECTIVES Schizophrenia is characterised by deficits across multiple cognitive domains and altered glutamate related neuroplasticity. The purpose was to investigate whether glutamate deficits are related to cognition in schizophrenia, and whether glutamate-cognition relationships are different between schizophrenia and controls. METHODS Magnetic resonance spectroscopy (MRS) at 3 Tesla was acquired from the dorsolateral prefrontal cortex (dlPFC) and hippocampus in 44 schizophrenia participants and 39 controls during passive viewing visual task. Cognitive performance (working memory, episodic memory, and processing speed) was assessed on a separate session. Group differences in neurochemistry and mediation/moderation effects using structural equation modelling (SEM) were investigated. RESULTS Schizophrenia participants showed lower hippocampal glutamate (p = .0044) and myo-Inositol (p = .023) levels, and non-significant dlPFC levels. Schizophrenia participants also demonstrated poorer cognitive performance (p < .0032). SEM-analyses demonstrated no mediation or moderation effects, however, an opposing dlPFC glutamate-processing speed association between groups was observed. CONCLUSIONS Hippocampal glutamate deficits in schizophrenia participants are consistent with evidence of reduced neuropil density. Moreover, SEM analyses indicated that hippocampal glutamate deficits in schizophrenia participants as measured during a passive state were not driven by poorer cognitive ability. We suggest that functional MRS may provide a better framework for investigating glutamate-cognition relationships in schizophrenia.
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Affiliation(s)
- Jeffrey A. Stanley
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Ana M. Daugherty
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
- Department of Psychology and Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | | | - Patricia Thomas
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Dalal Khatib
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Asadur Chowdury
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Usha Rajan
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Luay Haddad
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Alireza Amirsadri
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - Vaibhav A. Diwadkar
- Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
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27
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Mancini V, Saleh MG, Delavari F, Bagautdinova J, Eliez S. Excitatory/Inhibitory Imbalance Underlies Hippocampal Atrophy in Individuals With 22q11.2 Deletion Syndrome With Psychotic Symptoms. Biol Psychiatry 2023; 94:569-579. [PMID: 37011759 DOI: 10.1016/j.biopsych.2023.03.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/10/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Abnormal neurotransmitter levels have been reported in individuals at high risk for schizophrenia, leading to a shift in the excitatory/inhibitory balance. However, it is unclear whether these alterations predate the onset of clinically relevant symptoms. Our aim was to explore in vivo measures of excitatory/inhibitory balance in 22q11.2 deletion carriers, a population at genetic risk for psychosis. METHODS Glx (glutamate+glutamine) and GABA+ (gamma-aminobutyric acid with macromolecules and homocarnosine) concentrations were estimated in the anterior cingulate cortex, superior temporal cortex, and hippocampus using the Mescher-Garwood point-resolved spectroscopy (MEGA-PRESS) sequence and the Gannet toolbox in 52 deletion carriers and 42 control participants. T1-weighted images were acquired longitudinally and processed with FreeSurfer version 6 to extract hippocampal volume. Subgroup analyses were conducted in deletion carriers with psychotic symptoms. RESULTS While no differences were found in the anterior cingulate cortex, deletion carriers had higher levels of Glx in the hippocampus and superior temporal cortex and lower levels of GABA+ in the hippocampus than control participants. We additionally found a higher Glx concentration in the hippocampus of deletion carriers with psychotic symptoms. Finally, more pronounced hippocampal atrophy was significantly associated with increased Glx levels in deletion carriers. CONCLUSIONS We provide evidence for an excitatory/inhibitory imbalance in temporal brain structures of deletion carriers, with a further hippocampal Glx increase in individuals with psychotic symptoms that was associated with hippocampal atrophy. These results are in line with theories proposing abnormally enhanced glutamate levels as a mechanistic explanation for hippocampal atrophy via excitotoxicity. Our results highlight a central role of glutamate in the hippocampus of individuals at genetic risk for schizophrenia.
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Affiliation(s)
- Valentina Mancini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.
| | - Muhammad G Saleh
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Farnaz Delavari
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Joëlle Bagautdinova
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
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28
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Hashimoto K. Arketamine for cognitive impairment in psychiatric disorders. Eur Arch Psychiatry Clin Neurosci 2023; 273:1513-1525. [PMID: 36786865 PMCID: PMC9925943 DOI: 10.1007/s00406-023-01570-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 02/01/2023] [Indexed: 02/15/2023]
Abstract
Cognitive impairment has been observed in patients with various psychiatric disorders, including schizophrenia, major depressive disorder (MDD), and bipolar disorder (BD). Although modern therapeutic drugs can improve certain symptoms (i.e., psychosis, depression) in these patients, these drugs have not been found to improve cognitive impairment. The N-methyl-D-aspartate receptor antagonist (R,S)-ketamine has attracted attention as a rapidly acting antidepressant. In addition to its robust antidepressant effects, (R,S)-ketamine has been suggested to improve cognitive impairment in patients with MDD and BD, despite causing cognitive impairment in healthy control subjects. (R,S)-ketamine is a racemic mixture of equal amounts of (R)-ketamine (or arketamine) and (S)-ketamine (or esketamine). Arketamine has been found to have more potent antidepressant-like actions than esketamine in rodents. Interestingly, arketamine, but not esketamine, has been suggested to improve phencyclidine-induced cognitive deficits in mice. Furthermore, arketamine has been suggested to ameliorate cognitive deficits in rodent offspring after maternal immune activation. In the current article, it is proposed that arketamine has therapeutic potential for treating cognitive impairment in patients with psychiatric disorders. Additionally, the potential role of the gut-microbiome-brain axis in cognitive impairment in psychiatric disorders is discussed.
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Affiliation(s)
- Kenji Hashimoto
- Division of Clinical Neuroscience, Chiba University Center for Forensic Mental Health, 1-8-1 Inohana, Chiba, 260-8670, Japan.
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29
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Griffiths K, Smart SE, Barker GJ, Deakin B, Lawrie SM, Lewis S, Lythgoe DJ, Pardiñas AF, Singh K, Semple S, Walters JTR, Williams SR, Egerton A, MacCabe JH. Treatment resistance NMDA receptor pathway polygenic score is associated with brain glutamate in schizophrenia. Schizophr Res 2023; 260:152-159. [PMID: 37657282 PMCID: PMC10873209 DOI: 10.1016/j.schres.2023.08.020] [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: 12/05/2022] [Revised: 08/17/2023] [Accepted: 08/18/2023] [Indexed: 09/03/2023]
Abstract
Dysfunction of glutamate neurotransmission has been implicated in the pathophysiology of schizophrenia and may be particularly relevant in severe, treatment-resistant symptoms. The underlying mechanism may involve hypofunction of the NMDA receptor. We investigated whether schizophrenia-related pathway polygenic scores, composed of genetic variants within NMDA receptor encoding genes, are associated with cortical glutamate in schizophrenia. Anterior cingulate cortex (ACC) glutamate was measured in 70 participants across 4 research sites using Proton Magnetic Resonance Spectroscopy (1H-MRS). Two NMDA receptor gene sets were sourced from the Molecular Signatories Database and NMDA receptor pathway polygenic scores were constructed using PRSet. The NMDA receptor pathway polygenic scores were weighted by single nucleotide polymorphism (SNP) associations with treatment-resistant schizophrenia, and associations with ACC glutamate were tested. We then tested whether NMDA receptor pathway polygenic scores with SNPs weighted by associations with non-treatment-resistant schizophrenia were associated with ACC glutamate. A higher NMDA receptor complex pathway polygenic score was significantly associated with lower ACC glutamate (β = -0.25, 95 % CI = -0.49, -0.02, competitive p = 0.03). When SNPs were weighted by associations with non-treatment-resistant schizophrenia, there was no association between the NMDA receptor complex pathway polygenic score and ACC glutamate (β = 0.05, 95 % CI = -0.18, 0.27, competitive p = 0.79). These results provide initial evidence of an association between common genetic variation implicated in NMDA receptor function and ACC glutamate levels in schizophrenia. This association was specific to when the NMDA receptor complex pathway polygenic score was weighted by SNP associations with treatment-resistant schizophrenia.
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Affiliation(s)
- Kira Griffiths
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, 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 SE5 8AF, UK
| | - Bill Deakin
- Division of Neuroscience and Experimental Psychology, University of Manchester, M13 9PT, UK
| | | | - Shon Lewis
- Division of Psychology and Mental Health, University of Manchester, M13 9PT, UK; Greater Manchester Mental Health NHS Foundation Trust, Manchester M25 3BL, 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 SE5 8AF, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Krishna Singh
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff CF24 4HQ, UK
| | - Scott Semple
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Stephen R Williams
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK.
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30
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Cai XL, Pu CC, Zhou SZ, Wang Y, Huang J, Lui SSY, Møller A, Cheung EFC, Madsen KH, Xue R, Yu X, Chan RCK. Anterior cingulate glutamate levels associate with functional activation and connectivity during sensory integration in schizophrenia: a multimodal 1H-MRS and fMRI study. Psychol Med 2023; 53:4904-4914. [PMID: 35791929 DOI: 10.1017/s0033291722001817] [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] [Indexed: 11/06/2022]
Abstract
BACKGROUND Glutamatergic dysfunction has been implicated in sensory integration deficits in schizophrenia, yet how glutamatergic function contributes to behavioural impairments and neural activities of sensory integration remains unknown. METHODS Fifty schizophrenia patients and 43 healthy controls completed behavioural assessments for sensory integration and underwent magnetic resonance spectroscopy (MRS) for measuring the anterior cingulate cortex (ACC) glutamate levels. The correlation between glutamate levels and behavioural sensory integration deficits was examined in each group. A subsample of 20 pairs of patients and controls further completed an audiovisual sensory integration functional magnetic resonance imaging (fMRI) task. Blood Oxygenation Level Dependent (BOLD) activation and task-dependent functional connectivity (FC) were assessed based on fMRI data. Full factorial analyses were performed to examine the Group-by-Glutamate Level interaction effects on fMRI measurements (group differences in correlation between glutamate levels and fMRI measurements) and the correlation between glutamate levels and fMRI measurements within each group. RESULTS We found that schizophrenia patients exhibited impaired sensory integration which was positively correlated with ACC glutamate levels. Multimodal analyses showed significantly Group-by-Glutamate Level interaction effects on BOLD activation as well as task-dependent FC in a 'cortico-subcortical-cortical' network (including medial frontal gyrus, precuneus, ACC, middle cingulate gyrus, thalamus and caudate) with positive correlations in patients and negative in controls. CONCLUSIONS Our findings indicate that ACC glutamate influences neural activities in a large-scale network during sensory integration, but the effects have opposite directionality between schizophrenia patients and healthy people. This implicates the crucial role of glutamatergic system in sensory integration processing in schizophrenia.
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Affiliation(s)
- Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Cheng-Cheng Pu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shu-Zhe Zhou
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Arne Møller
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Centre of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Kristoffer H Madsen
- Sino-Danish Centre for Education and Research, Beijing, China
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Amager and Hvidovre, Denmark
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Rong Xue
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Brain Disorders, Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Department of Diagnostic Radiology, the University of Hong Kong, Hong Kong Special Administrative Region, China
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31
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Uhlhaas PJ, Davey CG, Mehta UM, Shah J, Torous J, Allen NB, Avenevoli S, Bella-Awusah T, Chanen A, Chen EYH, Correll CU, Do KQ, Fisher HL, Frangou S, Hickie IB, Keshavan MS, Konrad K, Lee FS, Liu CH, Luna B, McGorry PD, Meyer-Lindenberg A, Nordentoft M, Öngür D, Patton GC, Paus T, Reininghaus U, Sawa A, Schoenbaum M, Schumann G, Srihari VH, Susser E, Verma SK, Woo TW, Yang LH, Yung AR, Wood SJ. Towards a youth mental health paradigm: a perspective and roadmap. Mol Psychiatry 2023; 28:3171-3181. [PMID: 37580524 PMCID: PMC10618105 DOI: 10.1038/s41380-023-02202-z] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 07/04/2023] [Accepted: 07/21/2023] [Indexed: 08/16/2023]
Abstract
Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.
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Affiliation(s)
- Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Christopher G Davey
- Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - John Torous
- Division of Digital Psychiatry and Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Shelli Avenevoli
- Office of the Director, National Institute of Mental Health, Bethesda, MD, USA
| | - Tolulope Bella-Awusah
- Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Andrew Chanen
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Eric Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Departments of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hostra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Kim Q Do
- Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Helen L Fisher
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Sophia Frangou
- Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, RWTH, Aachen, Germany
- JARA-Brain Institute II, Molecular Neuroscience and Neuroimaging, Research Center Jülich, Jülich, Germany
| | - Francis S Lee
- Department of Psychiatry, Weill Cornell Cornell Medicall College, New York, NY, USA
| | - Cindy H Liu
- Departments of Pediatrics and Psychiatry, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Patrick D McGorry
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Merete Nordentoft
- CORE-Copenhagen Research Centre for Mental Health, Mental Health Center Copenhagen, University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Hellerup, Denmark
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - George C Patton
- Centre for Adolescent Health, Murdoch Children's Research Institute, University of Melbourne, Parkville, VIC, Australia
| | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte Justine, University of Montreal, Montreal, QC, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Mannheim, Germany
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Akira Sawa
- The John Hopkins Schizophrenia Center, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Schoenbaum
- Division of Service and Intervention Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, ISTBI, Fudan University, Shanghai, China
- Department of Psychiatry and Neuroscience, Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Vinod H Srihari
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Program for Specialized Treatment Early in Psychosis (STEP), New Haven, VIC, USA
| | - Ezra Susser
- Departments of Epidemiology and Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Swapna K Verma
- Department of Psychosis, Institute of Mental Health, Buangkok, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - T Wilson Woo
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Laboratory for Cellular Neuropathology, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Lawrence H Yang
- Department of Social and Behavioral Sciences, New York University, New York, NY, USA
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Alison R Yung
- School of Medicine, Faculty of Health, Deakin University, Melbourne, VIC, Australia
- Department of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Stephen J Wood
- Orygen: National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
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Fenn-Moltu S, Deakin B, Drake R, Howes OD, Lawrie SM, Lewis S, Nikkheslat N, Walters JTR, MacCabe JH, Mondelli V, Egerton A. The association between peripheral inflammation, brain glutamate and antipsychotic response in Schizophrenia: Data from the STRATA collaboration. Brain Behav Immun 2023; 111:343-351. [PMID: 37182555 PMCID: PMC7615624 DOI: 10.1016/j.bbi.2023.05.005] [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: 12/28/2022] [Revised: 04/10/2023] [Accepted: 05/08/2023] [Indexed: 05/16/2023] Open
Abstract
Glutamate and increased inflammation have been separately implicated in the pathophysiology of schizophrenia and the extent of clinical response to antipsychotic treatment. Despite the mechanistic links between pro-inflammatory and glutamatergic pathways, the relationships between peripheral inflammatory markers and brain glutamate in schizophrenia have not yet been investigated. In this study, we tested the hypothesis that peripheral levels of pro-inflammatory cytokines would be positively associated with brain glutamate levels in schizophrenia. Secondary analyses determined whether this relationship differed according to antipsychotic treatment response. The sample consisted of 79 patients with schizophrenia, of whom 40 were rated as antipsychotic responders and 39 as antipsychotic non-responders. Brain glutamate levels were assessed in the anterior cingulate cortex (ACC) and caudate using proton magnetic resonance spectroscopy (1H-MRS) and blood samples were collected for cytokine assay on the same study visit (IL-6, IL-8, IL-10, TNF- α and IFN-γ). Across the whole patient sample, there was a positive relationship between interferon-gamma (IFN-γ) and caudate glutamate levels (r = 0.31, p = 0.02). In the antipsychotic non-responsive group only, there was a positive relationship between interleukin-8 (IL-8) and caudate glutamate (r = 0.46, p = 0.01). These findings provide evidence to link specific peripheral inflammatory markers and caudate glutamate in schizophrenia and may suggest that this relationship is most marked in patients who show a poor response to antipsychotic treatment.
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Affiliation(s)
- Sunniva Fenn-Moltu
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, 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 Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK; Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK
| | | | - Shôn Lewis
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Naghmeh Nikkheslat
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, 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
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK
| | - Valeria Mondelli
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK
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33
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Graham JWC, Jeon P, Théberge J, Palaniyappan L. Non-linear variations in glutamate dynamics during a cognitive task engagement in schizophrenia. Psychiatry Res Neuroimaging 2023; 332:111640. [PMID: 37121089 DOI: 10.1016/j.pscychresns.2023.111640] [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: 01/31/2023] [Revised: 03/25/2023] [Accepted: 04/02/2023] [Indexed: 05/02/2023]
Abstract
To investigate the role of glutamate in psychosis, we employ functional magnetic resonance spectroscopy at an ultra-high magnetic field (7T) and employ fuzzy-approximate entropy (F-ApEn) and Hurst Exponent (HE) to capture time-varying nature of glutamate signaling during a cognitive task. We recruited thirty first-episode psychosis patients (FEP) with age- and gender-matched healthy controls (HC) and administered the Color-Word Stroop paradigm, providing 128 raw MRS time-points per subject over a period of 16 min. We then performed metabolite quantification of glutamate in the dorsal anterior cingulate cortex, a region reliably activated during the Stroop task. Symptoms/cognitive functioning was measured using Positive and Negative Syndrome Scale-8 score, Social and Occupational Functioning (SOFAS) score, digit symbol) coding score, and Stroop accuracy. These scores were related to the Entropy/HE data from the overall glutamate time-series. Patients with FEP had significantly higher HE compared to HC, with individuals displaying significantly higher HE having lower functional performance (SOFAS) in both HC and FEP groups. Among healthy individuals, higher HE also indicated significantly lower cognitive function through Stroop accuracy and DSST scores. F-ApEn had an inverse Pearson correlation with HE, and tracked diagnosis, cognition and function as expected, but with lower effect sizes not reaching statistical significance. We demonstrate notable diagnostic differences in the temporal course of glutamate signaling during a cognitive task in psychosis.
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Affiliation(s)
- James W C Graham
- Lawson Health Research Institute, London, ON, Canada; Graduate Program in Neuroscience, Western University, London, ON, Canada
| | - Peter Jeon
- Lawson Health Research Institute, London, ON, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Jean Théberge
- Lawson Health Research Institute, London, ON, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Lena Palaniyappan
- Lawson Health Research Institute, London, ON, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada; Robarts Research Institute, London, ON, Canada; Douglas Mental Health University Institute, McGill University, Department of Psychiatry, Montreal, QC, Canada.
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34
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van Boxel R, Gangadin SS, Janssen H, van der Steur S, van der Vinne LJC, Dortants L, Pelgrim TAD, Draisma LWR, Tuura R, van der Meer P, Batalla A, Bossong MG. The impact of cannabidiol treatment on resting state functional connectivity, prefrontal metabolite levels and reward processing in recent-onset patients with a psychotic disorder. J Psychiatr Res 2023; 163:93-101. [PMID: 37207437 DOI: 10.1016/j.jpsychires.2023.05.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/14/2023] [Accepted: 05/01/2023] [Indexed: 05/21/2023]
Abstract
The first clinical trials with cannabidiol (CBD) as treatment for psychotic disorders have shown its potential as an effective and well-tolerated antipsychotic agent. However, the neurobiological mechanisms underlying the antipsychotic profile of CBD are currently unclear. Here we investigated the impact of 28-day adjunctive CBD or placebo treatment (600 mg daily) on brain function and metabolism in 31 stable recent-onset psychosis patients (<5 years after diagnosis). Before and after treatment, patients underwent a Magnetic Resonance Imaging (MRI) session including resting state functional MRI, proton Magnetic Resonance Spectroscopy (1H-MRS) and functional MRI during reward processing. Symptomatology and cognitive functioning were also assessed. CBD treatment significantly changed functional connectivity in the default mode network (DMN; time × treatment interaction p = 0.037), with increased connectivity in the CBD (from 0.59 ± 0.39 to 0.80 ± 0.32) and reduced connectivity in the placebo group (from 0.77 ± 0.37 to 0.62 ± 0.33). Although there were no significant treatment effects on prefrontal metabolite concentrations, we showed that decreased positive symptom severity over time was associated with both diminishing glutamate (p = 0.029) and N-acetyl-aspartate (NAA; neuronal integrity marker) levels (p = 0.019) in the CBD, but not the placebo group. CBD treatment did not have an impact on brain activity patterns during reward anticipation and receipt or functional connectivity in executive and salience networks. Our results show that adjunctive CBD treatment of recent-onset psychosis patients induced changes in DMN functional connectivity, but not prefrontal metabolite concentrations or brain activity during reward processing. These findings suggest that DMN connectivity alteration may be involved in the therapeutic effects of CBD.
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Affiliation(s)
- Ruben van Boxel
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Shiral S Gangadin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Section of Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, the Netherlands
| | - Hella Janssen
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Sanne van der Steur
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Lucia J C van der Vinne
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Lon Dortants
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Teuntje A D Pelgrim
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Department of Psychiatry, Parnassia Psychiatric Institute, Amsterdam, the Netherlands
| | - Luc W R Draisma
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Ruth Tuura
- Center of MR Research, University Children's Hospital Zurich, Zurich, Switzerland
| | - Pim van der Meer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Albert Batalla
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Matthijs G Bossong
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands.
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35
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Sigvard AK, Bojesen KB, Ambrosen KS, Nielsen MØ, Gjedde A, Tangmose K, Kumakura Y, Edden R, Fuglø D, Jensen LT, Rostrup E, Ebdrup BH, Glenthøj BY. Dopamine Synthesis Capacity and GABA and Glutamate Levels Separate Antipsychotic-Naïve Patients With First-Episode Psychosis From Healthy Control Subjects in a Multimodal Prediction Model. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:500-509. [PMID: 37519478 PMCID: PMC10382695 DOI: 10.1016/j.bpsgos.2022.05.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/20/2022] [Accepted: 05/21/2022] [Indexed: 11/17/2022] Open
Abstract
Background Disturbances in presynaptic dopamine activity and levels of GABA (gamma-aminobutyric acid) and glutamate plus glutamine collectively may have a role in the pathophysiology of psychosis, although separately they are poor diagnostic markers. We tested whether these neurotransmitters in combination improve the distinction of antipsychotic-naïve patients with first-episode psychosis from healthy control subjects. Methods We included 23 patients (mean age 22.3 years, 9 male) and 20 control subjects (mean age 22.4 years, 8 male). We determined dopamine metabolism in the nucleus accumbens and striatum from 18F-fluorodopa (18F-FDOPA) positron emission tomography. We measured GABA levels in the anterior cingulate cortex (ACC) and glutamate plus glutamine levels in the ACC and left thalamus with 3T proton magnetic resonance spectroscopy. We used binominal logistic regression for unimodal prediction when we modeled neurotransmitters individually and for multimodal prediction when we combined the 3 neurotransmitters. We selected the best combination based on Akaike information criterion. Results Individual neurotransmitters failed to predict group. Three triple neurotransmitter combinations significantly predicted group after Benjamini-Hochberg correction. The best model (Akaike information criterion 48.5) carried 93.5% of the cumulative model weight. It reached a classification accuracy of 83.7% (p = .003) and included dopamine synthesis capacity (Ki4p) in the nucleus accumbens (p = .664), GABA levels in the ACC (p = .019), glutamate plus glutamine levels in the thalamus (p = .678), and the interaction term Ki4p × GABA (p = .016). Conclusions Our multimodal approach proved superior classification accuracy, implying that the pathophysiology of patients represents a combination of neurotransmitter disturbances rather than aberrations in a single neurotransmitter. Particularly aberrant interrelations between Ki4p in the nucleus accumbens and GABA values in the ACC appeared to contribute diagnostic information.
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Affiliation(s)
- Anne K. Sigvard
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kirsten Borup Bojesen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Karen S. Ambrosen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Mette Ødegaard Nielsen
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Albert Gjedde
- Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Karen Tangmose
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Yoshitaka Kumakura
- Department of Diagnostic Radiology and Nuclear Medicine, Saitama Medical Center, Saitama Medical University, Japan
| | - Richard Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland
- FM. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Dan Fuglø
- Department of Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Lars Thorbjørn Jensen
- Department of Nuclear Medicine, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Bjørn H. Ebdrup
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birte Yding Glenthøj
- Center for Neuropsychiatric Schizophrenia Research & Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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36
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Wang M, Barker PB, Cascella NG, Coughlin JM, Nestadt G, Nucifora FC, Sedlak TW, Kelly A, Younes L, Geman D, Palaniyappan L, Sawa A, Yang K. Longitudinal changes in brain metabolites in healthy controls and patients with first episode psychosis: a 7-Tesla MRS study. Mol Psychiatry 2023; 28:2018-2029. [PMID: 36732587 PMCID: PMC10394114 DOI: 10.1038/s41380-023-01969-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 02/04/2023]
Abstract
Seven Tesla magnetic resonance spectroscopy (7T MRS) offers a precise measurement of metabolic levels in the human brain via a non-invasive approach. Studying longitudinal changes in brain metabolites could help evaluate the characteristics of disease over time. This approach may also shed light on how the age of study participants and duration of illness may influence these metabolites. This study used 7T MRS to investigate longitudinal patterns of brain metabolites in young adulthood in both healthy controls and patients. A four-year longitudinal cohort with 38 patients with first episode psychosis (onset within 2 years) and 48 healthy controls was used to examine 10 brain metabolites in 5 brain regions associated with the pathophysiology of psychosis in a comprehensive manner. Both patients and controls were found to have significant longitudinal reductions in glutamate in the anterior cingulate cortex (ACC). Only patients were found to have a significant decrease over time in γ-aminobutyric acid, N-acetyl aspartate, myo-inositol, total choline, and total creatine in the ACC. Together we highlight the ACC with dynamic changes in several metabolites in early-stage psychosis, in contrast to the other 4 brain regions that also are known to play roles in psychosis. Meanwhile, glutathione was uniquely found to have a near zero annual percentage change in both patients and controls in all 5 brain regions during a four-year follow-up in young adulthood. Given that a reduction of the glutathione in the ACC has been reported as a feature of treatment-refractory psychosis, this observation further supports the potential of glutathione as a biomarker for this subset of patients with psychosis.
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Affiliation(s)
- Min Wang
- Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Peter B Barker
- Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
| | - Nicola G Cascella
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jennifer M Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Frederick C Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas W Sedlak
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alexandra Kelly
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Laurent Younes
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
| | - Donald Geman
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
| | - Lena Palaniyappan
- Robarts Research Institution, University of Western Ontario, London, ON, Canada
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Kun Yang
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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37
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Merritt K, McCutcheon RA, Aleman A, Ashley S, Beck K, Block W, Bloemen OJN, Borgan F, Boules C, Bustillo JR, Capizzano AA, Coughlin JM, David A, de la Fuente-Sandoval C, Demjaha A, Dempster K, Do KQ, Du F, Falkai P, Galińska-Skok B, Gallinat J, Gasparovic C, Ginestet CE, Goto N, Graff-Guerrero A, Ho BC, Howes O, Jauhar S, Jeon P, Kato T, Kaufmann CA, Kegeles LS, Keshavan MS, Kim SY, King B, Kunugi H, Lauriello J, León-Ortiz P, Liemburg E, Mcilwain ME, Modinos G, Mouchlianitis E, Nakamura J, Nenadic I, Öngür D, Ota M, Palaniyappan L, Pantelis C, Patel T, Plitman E, Posporelis S, Purdon SE, Reichenbach JR, Renshaw PF, Reyes-Madrigal F, Russell BR, Sawa A, Schaefer M, Shungu DC, Smesny S, Stanley JA, Stone J, Szulc A, Taylor R, Thakkar KN, Théberge J, Tibbo PG, van Amelsvoort T, Walecki J, Williamson PC, Wood SJ, Xin L, Yamasue H, McGuire P, Egerton A. Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis. Mol Psychiatry 2023; 28:2039-2048. [PMID: 36806762 PMCID: PMC10575771 DOI: 10.1038/s41380-023-01991-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 02/19/2023]
Abstract
Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK.
| | | | - André Aleman
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sarah Ashley
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Katherine Beck
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Oswald J N Bloemen
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christiana Boules
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Aristides A Capizzano
- Department of Radiology, Division of Neuroradiology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Jennifer M Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anthony David
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Arsime Demjaha
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kara Dempster
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kim Q Do
- Center for Psychiatric Neuroscience (CNP), Department of Psychiatry, Lausanne University Hospital-CHUV, Prilly-Lausanne, Switzerland
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Peter Falkai
- Department of Psychiatry, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Beata Galińska-Skok
- Department of Psychiatry, Medical University of Bialystok, Bialystok, Poland
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Cedric E Ginestet
- Department of Biostatistics and Health Informatics (S2.06), Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Naoki Goto
- Department of Psychiatry, Kokura Gamo Hospital, Kitakyushu, Fukuoka, 8020978, Japan
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Research Imaging Centre, Geriatric Mental Health Program at Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sameer Jauhar
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Peter Jeon
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Charles A Kaufmann
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Lawrence S Kegeles
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | | | | | - Bridget King
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - J Lauriello
- Jefferson Health-Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Edith Liemburg
- Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, Groningen, the Netherlands
| | - Meghan E Mcilwain
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Gemma Modinos
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Elias Mouchlianitis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jun Nakamura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Miho Ota
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Tulsi Patel
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sotirios Posporelis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, BR3 3BX, UK
| | - Scot E Purdon
- Neuropsychology Department, Alberta Hospital Edmonton, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Bruce R Russell
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Mental Health, Biomedical Engineering, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Schaefer
- Department of Psychiatry, Psychotherapy, Psychosomatics and Addiction Medicine, Kliniken Essen-Mitte, Essen, Germany
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Dikoma C Shungu
- Department of Radiology, Weill Cornell Medical College, New York City, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jeffrey A Stanley
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - James Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Reggie Taylor
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, MI, USA
| | - Jean Théberge
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | | | - Peter C Williamson
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Stephen J Wood
- Orygen, Melbourne, VIC, Australia
- Institute for Mental Health, University of Birmingham, Edgbaston, UK
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lijing Xin
- Animal Imaging and Technology Core (AIT), Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Philip McGuire
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Xie X, Shi Y, Ma L, Yang W, Pu J, Shen Y, Liu Y, Zhang H, Lv F, Hu L. Altered neurometabolite levels in the brains of patients with depression: A systematic analysis of magnetic resonance spectroscopy studies. J Affect Disord 2023; 328:95-102. [PMID: 36521666 DOI: 10.1016/j.jad.2022.12.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/04/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Numerous magnetic resonance spectroscopy (MRS) studies have reported metabolic abnormalities in the brains of patients with depression, although inconsistent results have been reported. The aim of this study was to explore changes in neurometabolite levels in patients with depression across large-scale MRS studies. METHOD A total of 307 differential metabolite entries associated with depression were retrieved from 180 MRS studies retrieved from the Metabolite Network of Depression Database. The vote-counting method was used to identify consistently altered metabolites in the whole brain and specific brain regions of patients with depression. RESULTS Only few differential neurometabolites showed a stable change trend. The levels of total choline (tCho) and the tCho/N-acetyl aspartate (NAA) ratio were consistently higher in the brains of patients with depression, and that the levels of NAA, glutamate and glutamine (Glx), and gamma-aminobutyric acid (GABA) were lower. For specific brain regions, we found lower Glx levels in the prefrontal cortex and lower GABA concentrations in the occipital cortex. We also found lower concentrations of NAA in the anterior cingulate cortex and prefrontal cortex. The levels of tCho were higher in the prefrontal cortex and putamen. CONCLUSION Our results revealed that most altered neurometabolites in previous studies lack of adequate reproducibility. Through vote-counting method with large-scale studies, downregulation of glutamatergic neurometabolites, impaired neuronal integrity, and disturbed membrane metabolism were found in the pathobiology of depression, which contribute to existing knowledge of neurometabolic changes in depression. Further studies based on a larger dataset are needed to confirm our findings.
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Affiliation(s)
- Xiongfei Xie
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Yan Shi
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Lin Ma
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Wenqin Yang
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Juncai Pu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yiqing Shen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yiyun Liu
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hanping Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Fajin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Liangbo Hu
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
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van den Oord EJCG, Xie LY, Zhao M, Campbell TL, Turecki G, Kähler AK, Dean B, Mors O, Hultman CM, Staunstrup NH, Aberg KA. Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples. Mol Psychiatry 2023; 28:2088-2094. [PMID: 37106120 DOI: 10.1038/s41380-023-02080-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023]
Abstract
Schizophrenia is a disabling disorder involving genetic predisposition in combination with environmental influences that likely act via dynamic alterations of the epigenome and the transcriptome but its detailed pathophysiology is largely unknown. We performed cell-type specific methylome-wide association study of neonatal blood (N = 333) from individuals who later in life developed schizophrenia and controls. Suggestively significant associations (P < 1.0 × 10-6) were detected in all cell-types and in whole blood with methylome-wide significant associations in monocytes (P = 2.85 × 10-9-4.87 × 10-9), natural killer cells (P = 1.72 × 10-9-7.82 × 10-9) and B cells (P = 3.8 × 10-9). Validation of methylation findings in post-mortem brains (N = 596) from independent schizophrenia cases and controls showed significant enrichment of transcriptional differences (enrichment ratio = 1.98-3.23, P = 2.3 × 10-3-1.0 × 10-5), with specific highly significant differential expression for, for example, BDNF (t = -6.11, P = 1.90 × 10-9). In addition, expression difference in brain significantly predicted schizophrenia (multiple correlation = 0.15-0.22, P = 3.6 × 10-4-4.5 × 10-8). In summary, using a unique design combining pre-disease onset (neonatal) blood methylomic data and post-disease onset (post-mortem) brain transcriptional data, we have identified genes of likely functional relevance that are associated with schizophrenia susceptibility, rather than confounding disease associated artifacts. The identified loci may be of clinical value as a methylation-based biomarker for early detection of increased schizophrenia susceptibility.
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Affiliation(s)
- Edwin J C G van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Lin Y Xie
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Min Zhao
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Thomas L Campbell
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Gustavo Turecki
- Douglas Mental Health University Institute and McGill University, Montréal, Québec, Canada
| | - Anna K Kähler
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian Dean
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Risskov, Denmark
- Center for Genomics and Personalized Medicine, University of Aarhus, Aarhus, Denmark
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nicklas H Staunstrup
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, University of Aarhus, Aarhus, Denmark
- Department of Biomedicine, University of Aarhus, Aarhus C, Denmark
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
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McCutcheon RA, Keefe RSE, McGuire PK. Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment. Mol Psychiatry 2023; 28:1902-1918. [PMID: 36690793 PMCID: PMC10575791 DOI: 10.1038/s41380-023-01949-9] [Citation(s) in RCA: 153] [Impact Index Per Article: 76.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/25/2023]
Abstract
Cognitive deficits are a core feature of schizophrenia, account for much of the impaired functioning associated with the disorder and are not responsive to existing treatments. In this review, we first describe the clinical presentation and natural history of these deficits. We then consider aetiological factors, highlighting how a range of similar genetic and environmental factors are associated with both cognitive function and schizophrenia. We then review the pathophysiological mechanisms thought to underlie cognitive symptoms, including the role of dopamine, cholinergic signalling and the balance between GABAergic interneurons and glutamatergic pyramidal cells. Finally, we review the clinical management of cognitive impairments and candidate novel treatments.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK.
| | - Richard S E Keefe
- Departments of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Philip K McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
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41
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Guo J, Rothman DL, Small SA. Why Hippocampal Glutamate Levels Are Elevated in Schizophrenia. JAMA Psychiatry 2023; 80:274-275. [PMID: 36696108 DOI: 10.1001/jamapsychiatry.2022.3849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
This article discusses why glutamate levels are abnormally elevated in the hippocampus of patients with schizophrenia and related disorders.
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Affiliation(s)
- Jia Guo
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Mortimer B. Zuckerman Mind Brain Behavior Institute, Departments of Neurology and Psychiatry, Columbia University, New York, New York
| | - Douglas L Rothman
- Yale University School of Medicine, Department of Radiology and Biomedical Imaging and Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Scott A Small
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Mortimer B. Zuckerman Mind Brain Behavior Institute, Departments of Neurology and Psychiatry, Columbia University, New York, New York
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Egerton A, Griffiths K, Casetta C, Deakin B, Drake R, Howes OD, Kassoumeri L, Khan S, Lankshear S, Lees J, Lewis S, Mikulskaya E, Millgate E, Oloyede E, Pollard R, Rich N, Segev A, Sendt KV, MacCabe JH. Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration. Neuropsychopharmacology 2023; 48:567-575. [PMID: 36456813 PMCID: PMC9852590 DOI: 10.1038/s41386-022-01508-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 12/03/2022]
Abstract
Elevated brain glutamate has been implicated in non-response to antipsychotic medication in schizophrenia. Biomarkers that can accurately predict antipsychotic non-response from the first episode of psychosis (FEP) could allow stratification of patients; for example, patients predicted not to respond to standard antipsychotics could be fast-tracked to clozapine. Using proton magnetic resonance spectroscopy (1H-MRS), we examined the ability of glutamate and Glx (glutamate plus glutamine) in the anterior cingulate cortex (ACC) and caudate to predict response to antipsychotic treatment. A total of 89 minimally medicated patients with FEP not meeting symptomatic criteria for remission were recruited across two study sites. 1H-MRS and clinical data were acquired at baseline, 2 and 6 weeks. Response was defined as >20% reduction in Positive and Negative Syndrome Scale (PANSS) Total score from baseline to 6 weeks. In the ACC, baseline glutamate and Glx were higher in Non-Responders and significantly predicted response (P < 0.02; n = 42). Overall accuracy was greatest for ACC Glx (69%) and increased to 75% when symptom severity at baseline was included in the model. Glutamate metabolites in the caudate were not associated with response, and there was no significant change in glutamate metabolites over time in either region. These results add to the evidence linking elevations in ACC glutamate metabolites to a poor antipsychotic response. They indicate that glutamate may have utility in predicting response during early treatment of first episode psychosis. Improvements in accuracy may be made by combining glutamate measures with other response biomarkers.
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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.
| | - Kira Griffiths
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Cecila Casetta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 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
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
| | - Richard Drake
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, 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
| | - Laura Kassoumeri
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sobia Khan
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Steve Lankshear
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jane Lees
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Shon Lewis
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Elena Mikulskaya
- Greater Manchester Mental Health NHS Foundation Trust Bury New Road, Prestwich, Manchester, M25 3BL, UK
- Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Edward Millgate
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Ebenezer Oloyede
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Rebecca Pollard
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Nathalie Rich
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Aviv Segev
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Kyra-Verena Sendt
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, 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
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43
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Harris AD, Amiri H, Bento M, Cohen R, Ching CRK, Cudalbu C, Dennis EL, Doose A, Ehrlich S, Kirov II, Mekle R, Oeltzschner G, Porges E, Souza R, Tam FI, Taylor B, Thompson PM, Quidé Y, Wilde EA, Williamson J, Lin AP, Bartnik-Olson B. Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations. Front Neurol 2023; 13:1045678. [PMID: 36686533 PMCID: PMC9845632 DOI: 10.3389/fneur.2022.1045678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 12/06/2022] [Indexed: 01/06/2023] Open
Abstract
Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impact, however, has been limited due to small sample sizes and methodological variability in addition to intrinsic limitations of the method itself such as its sensitivity to motion. The lack of standardization from a data acquisition and data processing perspective makes it difficult to pool multiple studies and/or conduct multisite studies that are necessary for supporting clinically relevant findings. Based on the experience of the ENIGMA MRS work group and a review of the literature, this manuscript provides an overview of the current state of MRS data harmonization. Key factors that need to be taken into consideration when conducting both retrospective and prospective studies are described. These include (1) MRS acquisition issues such as pulse sequence, RF and B0 calibrations, echo time, and SNR; (2) data processing issues such as pre-processing steps, modeling, and quantitation; and (3) biological factors such as voxel location, age, sex, and pathology. Various approaches to MRS data harmonization are then described including meta-analysis, mega-analysis, linear modeling, ComBat and artificial intelligence approaches. The goal is to provide both novice and experienced readers with the necessary knowledge for conducting MRS data harmonization studies.
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Affiliation(s)
- Ashley D. Harris
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Houshang Amiri
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Mariana Bento
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Ronald Cohen
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Los Angeles, CA, United States
| | - Christina Cudalbu
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Emily L. Dennis
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - Arne Doose
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Ivan I. Kirov
- Department of Radiology, Center for Advanced Imaging Innovation and Research, New York University Grossman School of Medicine, New York, NY, United States
| | - Ralf Mekle
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Eric Porges
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Roberto Souza
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada
| | - Friederike I. Tam
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Brian Taylor
- Division of Diagnostic Imaging, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, Los Angeles, CA, United States
| | - Yann Quidé
- School of Psychology, University of New South Wales (UNSW), Sydney, NSW, Australia
| | - Elisabeth A. Wilde
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, United States
| | - John Williamson
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States
| | - Alexander P. Lin
- Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Brenda Bartnik-Olson
- Department of Radiology, Loma Linda University Medical Center, Loma Linda, CA, United States
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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: 0.5] [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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Zahid U, Onwordi EC, Hedges EP, Wall MB, Modinos G, Murray RM, Egerton A. Neurofunctional correlates of glutamate and GABA imbalance in psychosis: A systematic review. Neurosci Biobehav Rev 2023; 144:105010. [PMID: 36549375 DOI: 10.1016/j.neubiorev.2022.105010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/01/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]
Abstract
Glutamatergic and GABAergic dysfunction are implicated in the pathophysiology of schizophrenia. Previous work has shown relationships between glutamate, GABA, and brain activity in healthy volunteers. We conducted a systematic review to evaluate whether these relationships are disrupted in psychosis. Primary outcomes were the relationship between metabolite levels and fMRI BOLD response in psychosis relative to healthy volunteers. 17 case-control studies met inclusion criteria (594 patients and 538 healthy volunteers). Replicated findings included that in psychosis, positive associations between ACC glutamate levels and brain activity are reduced during resting state conditions and increased during cognitive control tasks, and negative relationships between GABA and local activation in the ACC are reduced. There was evidence that antipsychotic medication may alter the relationship between glutamate levels and brain activity. Emerging literature is providing insights into disrupted relationships between neurometabolites and brain activity in psychosis. Future studies determining a link to clinical variables may develop this approach for biomarker applications, including development or targeting novel therapeutics.
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Affiliation(s)
- Uzma Zahid
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Psychiatry, University of Oxford, UK.
| | - Ellis C Onwordi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital Campus, London, UK; Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK; South London and Maudsley NHS Foundation Trust, Camberwell, London, UK
| | - Emily P Hedges
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Matthew B Wall
- Invicro London, Hammersmith Hospital, UK; Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, UK; Clinical Psychopharmacology Unit, University College London, UK
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
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Davies C, Bossong MG, Martins D, Wilson R, Appiah-Kusi E, Blest-Hopley G, Allen P, Zelaya F, Lythgoe DJ, Brammer M, Perez J, McGuire P, Bhattacharyya S. Hippocampal Glutamate, Resting Perfusion and the Effects of Cannabidiol in Psychosis Risk. SCHIZOPHRENIA BULLETIN OPEN 2023; 4:sgad022. [PMID: 39145348 PMCID: PMC11207663 DOI: 10.1093/schizbullopen/sgad022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Background Preclinical and human data suggest that psychosis onset involves hippocampal glutamatergic dysfunction, driving hyperactivity and hyperperfusion in a hippocampal-midbrain-striatal circuit. Whether glutamatergic dysfunction is related to cerebral perfusion in patients at clinical high risk (CHR) for psychosis, and whether cannabidiol (CBD) has ameliorative effects on glutamate or its relationship with perfusion remains unknown. Methods Using a double-blind, parallel-group design, 33 CHR patients were randomized to a single 600 mg dose of CBD or placebo; 19 healthy controls did not receive any drug. Proton magnetic resonance spectroscopy was used to measure glutamate concentrations in left hippocampus. We examined differences relating to CHR status (controls vs placebo), effects of CBD (placebo vs CBD), and linear between-group effects, such that placebo>CBD>controls or controls>CBD>placebo. We also examined group × glutamate × cerebral perfusion (measured using Arterial Spin Labeling) interactions. Results Compared to controls, CHR-placebo patients had significantly lower hippocampal glutamate (P =.015) and a significant linear relationship was observed across groups, such that glutamate was highest in controls, lowest in CHR-placebo, and intermediate in CHR-CBD (P =.031). Moreover, there was a significant interaction between group (controls vs CHR-placebo), hippocampal glutamate, and perfusion in the putamen and insula (P FWE =.012), with a strong positive correlation in CHR-placebo vs a negative correlation in controls. Conclusions Our findings suggest that hippocampal glutamate is lower in CHR patients and may be partially normalized by a single dose of CBD. Furthermore, we provide the first in vivo evidence of an abnormal relationship between hippocampal glutamate and perfusion in the striatum and insula in CHR.
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Affiliation(s)
- Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Matthijs G Bossong
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, UK
| | - Robin Wilson
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Elizabeth Appiah-Kusi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Grace Blest-Hopley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jesus Perez
- CAMEO Early Intervention Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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47
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Kruse AO, Bustillo JR. Glutamatergic dysfunction in Schizophrenia. Transl Psychiatry 2022; 12:500. [PMID: 36463316 PMCID: PMC9719533 DOI: 10.1038/s41398-022-02253-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 11/05/2022] [Accepted: 11/09/2022] [Indexed: 12/04/2022] Open
Abstract
The NMDA-R hypofunction model of schizophrenia started with the clinical observation of the precipitation of psychotic symptoms in patients with schizophrenia exposed to PCP or ketamine. Healthy volunteers exposed to acute low doses of ketamine experienced mild psychosis but also negative and cognitive type symptoms reminiscent of the full clinical picture of schizophrenia. In rodents, acute systemic ketamine resulted in a paradoxical increase in extracellular frontal glutamate as well as of dopamine. Similar increase in prefrontal glutamate was documented with acute ketamine in healthy volunteers with 1H-MRS. Furthermore, sub-chronic low dose PCP lead to reductions in frontal dendritic tree density in rodents. In post-mortem ultrastructural studies in schizophrenia, a broad reduction in dendritic complexity and somal volume of pyramidal cells has been repeatedly described. This most likely accounts for the broad, subtle progressive cortical thinning described with MRI in- vivo. Additionally, prefrontal reductions in the obligatory GluN1 subunit of the NMDA-R has been repeatedly found in post-mortem tissue. The vast 1H-MRS literature in schizophrenia has documented trait-like small increases in glutamate concentrations in striatum very early in the illness, before antipsychotic treatment (the same structure where increased pre-synaptic release of dopamine has been reported with PET). The more recent genetic literature has reliably detected very small risk effects for common variants involving several glutamate-related genes. The pharmacological literature has followed two main tracks, directly informed by the NMDA-R hypo model: agonism at the glycine site (as mostly add-on studies targeting negative and cognitive symptoms); and pre-synaptic modulation of glutamatergic release (as single agents for acute psychosis). Unfortunately, both approaches have failed so far. There is little doubt that brain glutamatergic abnormalities are present in schizophrenia and that some of these are related to the etiology of the illness. The genetic literature directly supports a non- specific etiological role for glutamatergic dysfunction. Whether NMDA-R hypofunction as a specific mechanism accounts for any important component of the illness is still not evident. However, a glutamatergic model still has heuristic value to guide future research in schizophrenia. New tools to jointly examine brain glutamatergic, GABA-ergic and dopaminergic systems in-vivo, early in the illness, may lay the ground for a next generation of clinical trials that go beyond dopamine D2 blockade.
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Affiliation(s)
- Andreas O Kruse
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131, USA
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Dabiri M, Dehghani Firouzabadi F, Yang K, Barker PB, Lee RR, Yousem DM. Neuroimaging in schizophrenia: A review article. Front Neurosci 2022; 16:1042814. [PMID: 36458043 PMCID: PMC9706110 DOI: 10.3389/fnins.2022.1042814] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/28/2022] [Indexed: 11/16/2022] Open
Abstract
In this review article we have consolidated the imaging literature of patients with schizophrenia across the full spectrum of modalities in radiology including computed tomography (CT), morphologic magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and magnetoencephalography (MEG). We look at the impact of various subtypes of schizophrenia on imaging findings and the changes that occur with medical and transcranial magnetic stimulation (TMS) therapy. Our goal was a comprehensive multimodality summary of the findings of state-of-the-art imaging in untreated and treated patients with schizophrenia. Clinical imaging in schizophrenia is used to exclude structural lesions which may produce symptoms that may mimic those of patients with schizophrenia. Nonetheless one finds global volume loss in the brains of patients with schizophrenia with associated increased cerebrospinal fluid (CSF) volume and decreased gray matter volume. These features may be influenced by the duration of disease and or medication use. For functional studies, be they fluorodeoxyglucose positron emission tomography (FDG PET), rs-fMRI, task-based fMRI, diffusion tensor imaging (DTI) or MEG there generally is hypoactivation and disconnection between brain regions. However, these findings may vary depending upon the negative or positive symptomatology manifested in the patients. MR spectroscopy generally shows low N-acetylaspartate from neuronal loss and low glutamine (a neuroexcitatory marker) but glutathione may be elevated, particularly in non-treatment responders. The literature in schizophrenia is difficult to evaluate because age, gender, symptomatology, comorbidities, therapy use, disease duration, substance abuse, and coexisting other psychiatric disorders have not been adequately controlled for, even in large studies and meta-analyses.
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Affiliation(s)
- Mona Dabiri
- Department of Radiology, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Kun Yang
- Department of Psychiatry, Molecular Psychiatry Program, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Peter B. Barker
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institution, Baltimore, MD, United States
| | - Roland R. Lee
- Department of Radiology, UCSD/VA Medical Center, San Diego, CA, United States
| | - David M. Yousem
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institution, Baltimore, MD, United States
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Sonnenschein SF, Mayeli A, Yushmanov VE, Blazer A, Calabro FJ, Perica M, Foran W, Luna B, Hetherington HP, Ferrarelli F, Sarpal DK. A longitudinal investigation of GABA, glutamate, and glutamine across the insula during antipsychotic treatment of first-episode schizophrenia. Schizophr Res 2022; 248:98-106. [PMID: 36029656 PMCID: PMC10018530 DOI: 10.1016/j.schres.2022.08.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/29/2022] [Accepted: 08/20/2022] [Indexed: 11/23/2022]
Abstract
Individuals with first-episode schizophrenia (FES) typically present with acute psychotic symptoms. Though antipsychotic drugs are the mainstay for treatment, the neurobiology underlying successful treatment remains largely elusive. Recent evidence from functional connectivity studies highlights the insula as a key structure in the neural mechanism of response. However, molecular contributions to response across insular regions remain largely unknown. We used 7-Tesla magnetic resonance spectroscopic imaging (MRSI) to measure glutamate (Glu), Glutamine (Gln), and GABA from anterior and posterior regions of the insula across antipsychotic treatment. A total of 36 participants were examined, including 15 individuals with FES and moderate to severe psychosis who were scanned at two time points, while starting and after 6 weeks of antipsychotic treatment. Symptoms were carefully monitored across the study period to characterize treatment response. GABA, Glu, and Gln levels were calculated relative to creatine in anterior and posterior insular regions, bilaterally. In relation to psychotic symptom reduction, we observed a significant increase in Glu across all insular regions with (p < 0.001), but no corresponding changes in Gln or GABA. In group analyses, the FES cohort showed lower levels of Glu (p < 0.001) and GABA (p = 0.02) at baseline. Finally, in exploratory analyses, treatment remitters demonstrated a normalization of lower insular Glu levels across treatment, unlike non-remitters. Overall, these findings contribute to our understating of molecular changes associated with antipsychotic response and demonstrate abnormalities specific to the insula in FES.
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Affiliation(s)
| | - Ahmad Mayeli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Annie Blazer
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Finnegan J Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria Perica
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Fabio Ferrarelli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Deepak K Sarpal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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50
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Tay DL, Thygesen LC, Kozlov E, Ornstein KA. Serious Mental Illness Exacerbation Post-Bereavement: A Population-Based Study of Partners and Adult Children. Clin Epidemiol 2022; 14:1065-1077. [PMID: 36164496 PMCID: PMC9508997 DOI: 10.2147/clep.s372936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose The death of a close family member is commonly accompanied by intense grief, stress, and loss of social support. We hypothesized that recent bereavement would be associated with an increase in symptom exacerbations among adults with serious mental illness (SMI) whose partners or parents had died. Patients and Methods Adults whose partners and parents had died in Denmark between January 1, 2010, and June 30, 2016, were identified using linked population-based registries. History of SMI was defined as having a diagnosis of schizophrenia and schizoaffective disorders, major depression, and bipolar disorder in the five years preceding their family member's death in the Danish Psychiatric Central Research Register using International Classification of Diseases-10 codes. The odds of SMI exacerbation (ie, attempt or completion of suicide or psychiatric hospitalization) among partners and children in the first two years after death in 3-month intervals were estimated with generalized estimating equations. Results 12.8% of partners and 15.0% of adult children with a history of SMI experienced any SMI exacerbation two years after bereavement. Among bereaved partners, older age (80+ years) was associated with a lower risk of experiencing an SMI exacerbation compared with partners aged 18-49 years (ORadj=0.29, [0.18-0.45]). Partners with a history of SMI had significantly increased odds of SMI exacerbations three months after their partners' death compared to prior to their partners' death (ORadj = 1.43, [1.13-1.81]). There was no evidence that adult children with SMI experience increased SMI exacerbations after the death of their parents compared to prior to death. Conclusion Adults with a history of SMI whose partners had died are at increased risk for an SMI exacerbation post bereavement. Additional bereavement resources and support should be provided to those with a history of SMI, especially in the period immediately after death.
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Affiliation(s)
- Djin L Tay
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Lau C Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Elissa Kozlov
- Department of Health Behavior, Society and Policy, School of Public Health, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
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