A multivariate regressor of patterned dopamine release predicts relapse to cocaine
Summary: Understanding mesolimbic dopamine adaptations underlying vulnerability to drug relapse is essential to inform prognostic tools for effective treatment strategies. However, technical limitations have hindered the direct measurement of sub-second dopamine release in vivo for prolonged periods...
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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | Cell Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124723005648 |
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author | Miguel Á. Luján Brandon L. Oliver Reana Young-Morrison Sheila A. Engi Lan-Yuan Zhang Jennifer M. Wenzel Yulong Li Natalie E. Zlebnik Joseph F. Cheer |
author_facet | Miguel Á. Luján Brandon L. Oliver Reana Young-Morrison Sheila A. Engi Lan-Yuan Zhang Jennifer M. Wenzel Yulong Li Natalie E. Zlebnik Joseph F. Cheer |
author_sort | Miguel Á. Luján |
collection | DOAJ |
description | Summary: Understanding mesolimbic dopamine adaptations underlying vulnerability to drug relapse is essential to inform prognostic tools for effective treatment strategies. However, technical limitations have hindered the direct measurement of sub-second dopamine release in vivo for prolonged periods of time, making it difficult to gauge the weight that these dopamine abnormalities have in determining future relapse incidence. Here, we use the fluorescent sensor GrabDA to record, with millisecond resolution, every single cocaine-evoked dopamine transient in the nucleus accumbens (NAc) of freely moving mice during self-administration. We reveal low-dimensional features of patterned dopamine release that are strong predictors of cue-induced reinstatement of cocaine seeking. Additionally, we report sex-specific differences in cocaine-related dopamine responses related to a greater resistance to extinction in males compared with females. These findings provide important insights into the sufficiency of NAc dopamine signaling dynamics—in interaction with sex—for recapitulating persistent cocaine seeking and future relapse vulnerability. |
first_indexed | 2024-03-13T09:54:46Z |
format | Article |
id | doaj.art-9b05fc772c3a466287aef7bae1fe2dd5 |
institution | Directory Open Access Journal |
issn | 2211-1247 |
language | English |
last_indexed | 2024-03-13T09:54:46Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | Cell Reports |
spelling | doaj.art-9b05fc772c3a466287aef7bae1fe2dd52023-05-24T04:20:15ZengElsevierCell Reports2211-12472023-06-01426112553A multivariate regressor of patterned dopamine release predicts relapse to cocaineMiguel Á. Luján0Brandon L. Oliver1Reana Young-Morrison2Sheila A. Engi3Lan-Yuan Zhang4Jennifer M. Wenzel5Yulong Li6Natalie E. Zlebnik7Joseph F. Cheer8Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USADivision of Biomedical Sciences, University of California Riverside, School of Medicine, Riverside, CA, USADepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USADepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USADepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USADepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USAState Key Laboratory of Membrane Biology, Peking University School of Life Sciences, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Beijing, China; Peking-Tsinghua Center for Life Sciences, Beijing, ChinaDepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA; Division of Biomedical Sciences, University of California Riverside, School of Medicine, Riverside, CA, USA; Corresponding authorDepartment of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA; Corresponding authorSummary: Understanding mesolimbic dopamine adaptations underlying vulnerability to drug relapse is essential to inform prognostic tools for effective treatment strategies. However, technical limitations have hindered the direct measurement of sub-second dopamine release in vivo for prolonged periods of time, making it difficult to gauge the weight that these dopamine abnormalities have in determining future relapse incidence. Here, we use the fluorescent sensor GrabDA to record, with millisecond resolution, every single cocaine-evoked dopamine transient in the nucleus accumbens (NAc) of freely moving mice during self-administration. We reveal low-dimensional features of patterned dopamine release that are strong predictors of cue-induced reinstatement of cocaine seeking. Additionally, we report sex-specific differences in cocaine-related dopamine responses related to a greater resistance to extinction in males compared with females. These findings provide important insights into the sufficiency of NAc dopamine signaling dynamics—in interaction with sex—for recapitulating persistent cocaine seeking and future relapse vulnerability.http://www.sciencedirect.com/science/article/pii/S2211124723005648CP: Neuroscience |
spellingShingle | Miguel Á. Luján Brandon L. Oliver Reana Young-Morrison Sheila A. Engi Lan-Yuan Zhang Jennifer M. Wenzel Yulong Li Natalie E. Zlebnik Joseph F. Cheer A multivariate regressor of patterned dopamine release predicts relapse to cocaine Cell Reports CP: Neuroscience |
title | A multivariate regressor of patterned dopamine release predicts relapse to cocaine |
title_full | A multivariate regressor of patterned dopamine release predicts relapse to cocaine |
title_fullStr | A multivariate regressor of patterned dopamine release predicts relapse to cocaine |
title_full_unstemmed | A multivariate regressor of patterned dopamine release predicts relapse to cocaine |
title_short | A multivariate regressor of patterned dopamine release predicts relapse to cocaine |
title_sort | multivariate regressor of patterned dopamine release predicts relapse to cocaine |
topic | CP: Neuroscience |
url | http://www.sciencedirect.com/science/article/pii/S2211124723005648 |
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