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Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers

Atypical antipsychotics (AAP) are used in the treatment of severe mental illness. They are associated with several metabolic side effects including insulin resistance. The skeletal muscle is the primary tissue responsible for insulin-stimulated glucose uptake. Dysfunction of protein regulation withi...

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Autores principales: Burghardt, Kyle J., Calme, Griffin, Caruso, Michael, Howlett, Bradley H., Sanders, Elani, Msallaty, Zaher, Mallisho, Abdullah, Seyoum, Berhane, Qi, Yue A., Zhang, Xiangmin, Yi, Zhengping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870450/
https://www.ncbi.nlm.nih.gov/pubmed/35204022
http://dx.doi.org/10.3390/brainsci12020259
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author Burghardt, Kyle J.
Calme, Griffin
Caruso, Michael
Howlett, Bradley H.
Sanders, Elani
Msallaty, Zaher
Mallisho, Abdullah
Seyoum, Berhane
Qi, Yue A.
Zhang, Xiangmin
Yi, Zhengping
author_facet Burghardt, Kyle J.
Calme, Griffin
Caruso, Michael
Howlett, Bradley H.
Sanders, Elani
Msallaty, Zaher
Mallisho, Abdullah
Seyoum, Berhane
Qi, Yue A.
Zhang, Xiangmin
Yi, Zhengping
author_sort Burghardt, Kyle J.
collection PubMed
description Atypical antipsychotics (AAP) are used in the treatment of severe mental illness. They are associated with several metabolic side effects including insulin resistance. The skeletal muscle is the primary tissue responsible for insulin-stimulated glucose uptake. Dysfunction of protein regulation within the skeletal muscle following treatment with AAPs may play a role in the associated metabolic side effects. The objective of this study was to measure protein abundance in the skeletal muscle of patients on long-term AAP or mood stabilizer treatment. Cross-sectional muscle biopsies were obtained from patients with bipolar disorder and global protein abundance was measured using stable isotope labeling by amino acid (SILAC) combined with high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS). Sixteen patients completed muscle biopsies and were included in the proteomic analyses. A total of 40 proteins were significantly different between the AAP group and the mood stabilizer group. In-silico pathway analysis identified significant enrichment in several pathways including glucose metabolism, cell cycle, apoptosis, and folate metabolism. Proteome abundance changes also differed based on protein biological processes and function. In summary, significant differences in proteomic profiles were identified in the skeletal muscle between patients on AAPs and mood stabilizers. Future work is needed to validate these findings in prospectively sampled populations.
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spelling pubmed-88704502022-02-25 Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers Burghardt, Kyle J. Calme, Griffin Caruso, Michael Howlett, Bradley H. Sanders, Elani Msallaty, Zaher Mallisho, Abdullah Seyoum, Berhane Qi, Yue A. Zhang, Xiangmin Yi, Zhengping Brain Sci Article Atypical antipsychotics (AAP) are used in the treatment of severe mental illness. They are associated with several metabolic side effects including insulin resistance. The skeletal muscle is the primary tissue responsible for insulin-stimulated glucose uptake. Dysfunction of protein regulation within the skeletal muscle following treatment with AAPs may play a role in the associated metabolic side effects. The objective of this study was to measure protein abundance in the skeletal muscle of patients on long-term AAP or mood stabilizer treatment. Cross-sectional muscle biopsies were obtained from patients with bipolar disorder and global protein abundance was measured using stable isotope labeling by amino acid (SILAC) combined with high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS). Sixteen patients completed muscle biopsies and were included in the proteomic analyses. A total of 40 proteins were significantly different between the AAP group and the mood stabilizer group. In-silico pathway analysis identified significant enrichment in several pathways including glucose metabolism, cell cycle, apoptosis, and folate metabolism. Proteome abundance changes also differed based on protein biological processes and function. In summary, significant differences in proteomic profiles were identified in the skeletal muscle between patients on AAPs and mood stabilizers. Future work is needed to validate these findings in prospectively sampled populations. MDPI 2022-02-12 /pmc/articles/PMC8870450/ /pubmed/35204022 http://dx.doi.org/10.3390/brainsci12020259 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Burghardt, Kyle J.
Calme, Griffin
Caruso, Michael
Howlett, Bradley H.
Sanders, Elani
Msallaty, Zaher
Mallisho, Abdullah
Seyoum, Berhane
Qi, Yue A.
Zhang, Xiangmin
Yi, Zhengping
Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title_full Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title_fullStr Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title_full_unstemmed Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title_short Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers
title_sort profiling the skeletal muscle proteome in patients on atypical antipsychotics and mood stabilizers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870450/
https://www.ncbi.nlm.nih.gov/pubmed/35204022
http://dx.doi.org/10.3390/brainsci12020259
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