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Gene coexpression patterns predict opiate-induced brain-state transitions
Opioid addiction is a chronic, relapsing disorder associated with persistent changes in brain plasticity. Reconfiguration of neuronal connectivity may explain heightened abuse liability in individuals with a history of chronic drug exposure. To characterize network-level changes in neuronal activity...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431093/ https://www.ncbi.nlm.nih.gov/pubmed/32694207 http://dx.doi.org/10.1073/pnas.2003601117 |
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author | Brynildsen, Julia K. Mace, Kyla D. Cornblath, Eli J. Weidler, Carmen Pasqualetti, Fabio Bassett, Danielle S. Blendy, Julie A. |
author_facet | Brynildsen, Julia K. Mace, Kyla D. Cornblath, Eli J. Weidler, Carmen Pasqualetti, Fabio Bassett, Danielle S. Blendy, Julie A. |
author_sort | Brynildsen, Julia K. |
collection | PubMed |
description | Opioid addiction is a chronic, relapsing disorder associated with persistent changes in brain plasticity. Reconfiguration of neuronal connectivity may explain heightened abuse liability in individuals with a history of chronic drug exposure. To characterize network-level changes in neuronal activity induced by chronic opiate exposure, we compared FOS expression in mice that are morphine-naïve, morphine-dependent, or have undergone 4 wk of withdrawal from chronic morphine exposure, relative to saline-exposed controls. Pairwise interregional correlations in FOS expression data were used to construct network models that reveal a persistent reduction in connectivity strength following opiate dependence. Further, we demonstrate that basal gene expression patterns are predictive of changes in FOS correlation networks in the morphine-dependent state. Finally, we determine that regions of the hippocampus, striatum, and midbrain are most influential in driving transitions between opiate-naïve and opiate-dependent brain states using a control theoretic approach. This study provides a framework for predicting the influence of specific therapeutic interventions on the state of the opiate-dependent brain. |
format | Online Article Text |
id | pubmed-7431093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-74310932020-08-27 Gene coexpression patterns predict opiate-induced brain-state transitions Brynildsen, Julia K. Mace, Kyla D. Cornblath, Eli J. Weidler, Carmen Pasqualetti, Fabio Bassett, Danielle S. Blendy, Julie A. Proc Natl Acad Sci U S A Biological Sciences Opioid addiction is a chronic, relapsing disorder associated with persistent changes in brain plasticity. Reconfiguration of neuronal connectivity may explain heightened abuse liability in individuals with a history of chronic drug exposure. To characterize network-level changes in neuronal activity induced by chronic opiate exposure, we compared FOS expression in mice that are morphine-naïve, morphine-dependent, or have undergone 4 wk of withdrawal from chronic morphine exposure, relative to saline-exposed controls. Pairwise interregional correlations in FOS expression data were used to construct network models that reveal a persistent reduction in connectivity strength following opiate dependence. Further, we demonstrate that basal gene expression patterns are predictive of changes in FOS correlation networks in the morphine-dependent state. Finally, we determine that regions of the hippocampus, striatum, and midbrain are most influential in driving transitions between opiate-naïve and opiate-dependent brain states using a control theoretic approach. This study provides a framework for predicting the influence of specific therapeutic interventions on the state of the opiate-dependent brain. National Academy of Sciences 2020-08-11 2020-07-21 /pmc/articles/PMC7431093/ /pubmed/32694207 http://dx.doi.org/10.1073/pnas.2003601117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Brynildsen, Julia K. Mace, Kyla D. Cornblath, Eli J. Weidler, Carmen Pasqualetti, Fabio Bassett, Danielle S. Blendy, Julie A. Gene coexpression patterns predict opiate-induced brain-state transitions |
title | Gene coexpression patterns predict opiate-induced brain-state transitions |
title_full | Gene coexpression patterns predict opiate-induced brain-state transitions |
title_fullStr | Gene coexpression patterns predict opiate-induced brain-state transitions |
title_full_unstemmed | Gene coexpression patterns predict opiate-induced brain-state transitions |
title_short | Gene coexpression patterns predict opiate-induced brain-state transitions |
title_sort | gene coexpression patterns predict opiate-induced brain-state transitions |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431093/ https://www.ncbi.nlm.nih.gov/pubmed/32694207 http://dx.doi.org/10.1073/pnas.2003601117 |
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