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Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration

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 respon...

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Autores principales: Egerton, Alice, Griffiths, Kira, Casetta, Cecila, Deakin, Bill, Drake, Richard, Howes, Oliver D., Kassoumeri, Laura, Khan, Sobia, Lankshear, Steve, Lees, Jane, Lewis, Shon, Mikulskaya, Elena, Millgate, Edward, Oloyede, Ebenezer, Pollard, Rebecca, Rich, Nathalie, Segev, Aviv, Sendt, Kyra-Verena, MacCabe, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852590/
https://www.ncbi.nlm.nih.gov/pubmed/36456813
http://dx.doi.org/10.1038/s41386-022-01508-w
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author Egerton, Alice
Griffiths, Kira
Casetta, Cecila
Deakin, Bill
Drake, Richard
Howes, Oliver D.
Kassoumeri, Laura
Khan, Sobia
Lankshear, Steve
Lees, Jane
Lewis, Shon
Mikulskaya, Elena
Millgate, Edward
Oloyede, Ebenezer
Pollard, Rebecca
Rich, Nathalie
Segev, Aviv
Sendt, Kyra-Verena
MacCabe, James H.
author_facet Egerton, Alice
Griffiths, Kira
Casetta, Cecila
Deakin, Bill
Drake, Richard
Howes, Oliver D.
Kassoumeri, Laura
Khan, Sobia
Lankshear, Steve
Lees, Jane
Lewis, Shon
Mikulskaya, Elena
Millgate, Edward
Oloyede, Ebenezer
Pollard, Rebecca
Rich, Nathalie
Segev, Aviv
Sendt, Kyra-Verena
MacCabe, James H.
author_sort Egerton, Alice
collection PubMed
description 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 ((1)H-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. (1)H-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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spelling pubmed-98525902023-01-21 Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration Egerton, Alice Griffiths, Kira Casetta, Cecila Deakin, Bill Drake, Richard Howes, Oliver D. Kassoumeri, Laura Khan, Sobia Lankshear, Steve Lees, Jane Lewis, Shon Mikulskaya, Elena Millgate, Edward Oloyede, Ebenezer Pollard, Rebecca Rich, Nathalie Segev, Aviv Sendt, Kyra-Verena MacCabe, James H. Neuropsychopharmacology Article 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 ((1)H-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. (1)H-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. Springer International Publishing 2022-12-01 2023-02 /pmc/articles/PMC9852590/ /pubmed/36456813 http://dx.doi.org/10.1038/s41386-022-01508-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Egerton, Alice
Griffiths, Kira
Casetta, Cecila
Deakin, Bill
Drake, Richard
Howes, Oliver D.
Kassoumeri, Laura
Khan, Sobia
Lankshear, Steve
Lees, Jane
Lewis, Shon
Mikulskaya, Elena
Millgate, Edward
Oloyede, Ebenezer
Pollard, Rebecca
Rich, Nathalie
Segev, Aviv
Sendt, Kyra-Verena
MacCabe, James H.
Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title_full Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title_fullStr Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title_full_unstemmed Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title_short Anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the STRATA collaboration
title_sort anterior cingulate glutamate metabolites as a predictor of antipsychotic response in first episode psychosis: data from the strata collaboration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852590/
https://www.ncbi.nlm.nih.gov/pubmed/36456813
http://dx.doi.org/10.1038/s41386-022-01508-w
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