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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

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 com...

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Autores principales: Sigvard, Anne K., Bojesen, Kirsten Borup, Ambrosen, Karen S., Nielsen, Mette Ødegaard, Gjedde, Albert, Tangmose, Karen, Kumakura, Yoshitaka, Edden, Richard, Fuglø, Dan, Jensen, Lars Thorbjørn, Rostrup, Egill, Ebdrup, Bjørn H., Glenthøj, Birte Yding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382695/
https://www.ncbi.nlm.nih.gov/pubmed/37519478
http://dx.doi.org/10.1016/j.bpsgos.2022.05.004
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author Sigvard, Anne K.
Bojesen, Kirsten Borup
Ambrosen, Karen S.
Nielsen, Mette Ødegaard
Gjedde, Albert
Tangmose, Karen
Kumakura, Yoshitaka
Edden, Richard
Fuglø, Dan
Jensen, Lars Thorbjørn
Rostrup, Egill
Ebdrup, Bjørn H.
Glenthøj, Birte Yding
author_facet Sigvard, Anne K.
Bojesen, Kirsten Borup
Ambrosen, Karen S.
Nielsen, Mette Ødegaard
Gjedde, Albert
Tangmose, Karen
Kumakura, Yoshitaka
Edden, Richard
Fuglø, Dan
Jensen, Lars Thorbjørn
Rostrup, Egill
Ebdrup, Bjørn H.
Glenthøj, Birte Yding
author_sort Sigvard, Anne K.
collection PubMed
description 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 (18)F-fluorodopa ((18)F-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 (K(i)(4p)) 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 K(i)(4p) × 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 K(i)(4p) in the nucleus accumbens and GABA values in the ACC appeared to contribute diagnostic information.
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spelling pubmed-103826952023-07-30 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 Sigvard, Anne K. Bojesen, Kirsten Borup Ambrosen, Karen S. Nielsen, Mette Ødegaard Gjedde, Albert Tangmose, Karen Kumakura, Yoshitaka Edden, Richard Fuglø, Dan Jensen, Lars Thorbjørn Rostrup, Egill Ebdrup, Bjørn H. Glenthøj, Birte Yding Biol Psychiatry Glob Open Sci Archival Report 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 (18)F-fluorodopa ((18)F-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 (K(i)(4p)) 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 K(i)(4p) × 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 K(i)(4p) in the nucleus accumbens and GABA values in the ACC appeared to contribute diagnostic information. Elsevier 2022-05-30 /pmc/articles/PMC10382695/ /pubmed/37519478 http://dx.doi.org/10.1016/j.bpsgos.2022.05.004 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Archival Report
Sigvard, Anne K.
Bojesen, Kirsten Borup
Ambrosen, Karen S.
Nielsen, Mette Ødegaard
Gjedde, Albert
Tangmose, Karen
Kumakura, Yoshitaka
Edden, Richard
Fuglø, Dan
Jensen, Lars Thorbjørn
Rostrup, Egill
Ebdrup, Bjørn H.
Glenthøj, Birte Yding
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Archival Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382695/
https://www.ncbi.nlm.nih.gov/pubmed/37519478
http://dx.doi.org/10.1016/j.bpsgos.2022.05.004
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