Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA)

Abstract The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capac...

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Published in:Schizophrenia bulletin Vol. 47; no. 2; pp. 505 - 516
Main Authors: Egerton, Alice, Murphy, Anna, Donocik, Jacek, Anton, Adriana, Barker, Gareth J, Collier, Tracy, Deakin, Bill, Drake, Richard, Eliasson, Emma, Emsley, Richard, Gregory, Catherine J, Griffiths, Kira, Kapur, Shitij, Kassoumeri, Laura, Knight, Laura, Lambe, Emily J B, Lawrie, Stephen M, Lees, Jane, Lewis, Shôn, Lythgoe, David J, Matthews, Julian, McGuire, Philip, McNamee, Lily, Semple, Scott, Shaw, Alexander D, Singh, Krish D, Stockton-Powdrell, Charlotte, Talbot, Peter S, Veronese, Mattia, Wagner, Ernest, Walters, James T R, Williams, Stephen R, MacCabe, James H, Howes, Oliver D
Format: Journal Article
Language:English
Published: US Oxford University Press 16-03-2021
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Abstract Abstract The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min−1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
AbstractList The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1 H-magnetic resonance spectroscopy ( 1 H-MRS) was used to measure glutamate levels (Glu corr ) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro- l -phenylalanine ( 18 F-DOPA) positron emission tomography (PET) to index striatal dopamine function ( K i cer , min −1 ). The mean ACC Glu corr was higher in the NR than the R group after adjustment for age and sex ( F 1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glu corr . The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1 H-MRS may also improve sensitivity.
The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min−1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min-1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
Abstract The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min−1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
Author Lees, Jane
Talbot, Peter S
Lawrie, Stephen M
Veronese, Mattia
Collier, Tracy
Lambe, Emily J B
Semple, Scott
Walters, James T R
Howes, Oliver D
Anton, Adriana
Deakin, Bill
Griffiths, Kira
Williams, Stephen R
Murphy, Anna
McGuire, Philip
Barker, Gareth J
Matthews, Julian
Donocik, Jacek
Kapur, Shitij
Knight, Laura
Gregory, Catherine J
Kassoumeri, Laura
Emsley, Richard
McNamee, Lily
Drake, Richard
Shaw, Alexander D
Lythgoe, David J
Stockton-Powdrell, Charlotte
Singh, Krish D
Eliasson, Emma
MacCabe, James H
Egerton, Alice
Lewis, Shôn
Wagner, Ernest
AuthorAffiliation 14 Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital , London, UK
8 Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London , London, UK
11 Centre for Cardiovascular Science, University of Edinburgh , Edinburgh, UK
7 Division of Psychiatry, University of Edinburgh , Edinburgh, UK
9 Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne , Parkville, Victoria, Australia
5 Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London , London, UK
3 Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester, UK
6 Division of Psychology and Mental Health, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester , Manchester, UK
13 Division of Informatics, Imaging and Data Sciences, Univer
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– name: 12 MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University , Cardiff, UK
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– name: 11 Centre for Cardiovascular Science, University of Edinburgh , Edinburgh, UK
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/32910150$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2020
The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.
Copyright_xml – notice: The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2020
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Issue 2
Keywords 1H-MRS
schizophrenia
antipsychotic response, treatment resistance
PET
Language English
License This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.
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J.H.M. and O.D.H. share senior authorship.
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Snippet Abstract The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent...
The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional...
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StartPage 505
SubjectTerms Adult
Antipsychotic Agents - pharmacology
Corpus Striatum - diagnostic imaging
Corpus Striatum - metabolism
Cross-Sectional Studies
Dopamine - metabolism
Female
Glutamic Acid - metabolism
Gyrus Cinguli - diagnostic imaging
Gyrus Cinguli - metabolism
Humans
Male
Middle Aged
Positron-Emission Tomography
Proton Magnetic Resonance Spectroscopy
Psychotic Disorders - diagnostic imaging
Psychotic Disorders - drug therapy
Psychotic Disorders - metabolism
Regular
Schizophrenia - diagnostic imaging
Schizophrenia - drug therapy
Schizophrenia - metabolism
Young Adult
Title Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA)
URI https://www.ncbi.nlm.nih.gov/pubmed/32910150
https://search.proquest.com/docview/2441611383
https://pubmed.ncbi.nlm.nih.gov/PMC7965076
Volume 47
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