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Differential transcriptome profile underlying risky choice in a rat gambling task

BACKGROUND AND AIMS: Proper measurement of expected risk is important for making rational decisions, and maladaptive decision making may underlie various psychiatric disorders. However, differentially expressed genetic profiling involved in this process is still largely unknown. A rodent version of...

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Autores principales: Kwak, Myung Ji, Kim, Wha Young, Jung, Seung-Hyun, Chung, Yeun-Jun, Kim, Jeong-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872528/
https://www.ncbi.nlm.nih.gov/pubmed/36094860
http://dx.doi.org/10.1556/2006.2022.00068
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author Kwak, Myung Ji
Kim, Wha Young
Jung, Seung-Hyun
Chung, Yeun-Jun
Kim, Jeong-Hoon
author_facet Kwak, Myung Ji
Kim, Wha Young
Jung, Seung-Hyun
Chung, Yeun-Jun
Kim, Jeong-Hoon
author_sort Kwak, Myung Ji
collection PubMed
description BACKGROUND AND AIMS: Proper measurement of expected risk is important for making rational decisions, and maladaptive decision making may underlie various psychiatric disorders. However, differentially expressed genetic profiling involved in this process is still largely unknown. A rodent version of the gambling task (rGT) has been developed to measure decision-making by adopting the same principle of Iowa Gambling Task in humans. In the present study, we examined using next-generation sequencing (NGS) technique whether there are differences in gene expression profiles in the medial prefrontal cortex (mPFC) and the nucleus accumbens (NAc) when rats make different choices toward risk in rGT. METHODS: Rats were trained in a touch screen chamber to learn the relationships between 4 different light signals on the window of the screen and accompanied reward outcomes or punishments set up with different magnitudes and probabilities. Once they showed a stabilized pattern of preference upon free choice, rats were classified into risk-averse or risk-seeking groups. After performing the rGT, rats were decapitated, the mPFC and the NAc was dissected out, and NGS was performed with the total RNA extracted. RESULTS: We found that 477 and 36 genes were differentially expressed (approximately 75 and 83% out of them were downregulated) in the mPFC and the NAc, respectively, in risk-seeking compared to risk-averse rats. Among those, we suggested a few top ranked genes that may contribute to promoting risky choices. DISCUSSION AND CONCLUSIONS: Our findings provide insights into transcriptional components underlying risky choices in rats.
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spelling pubmed-98725282023-02-01 Differential transcriptome profile underlying risky choice in a rat gambling task Kwak, Myung Ji Kim, Wha Young Jung, Seung-Hyun Chung, Yeun-Jun Kim, Jeong-Hoon J Behav Addict Article BACKGROUND AND AIMS: Proper measurement of expected risk is important for making rational decisions, and maladaptive decision making may underlie various psychiatric disorders. However, differentially expressed genetic profiling involved in this process is still largely unknown. A rodent version of the gambling task (rGT) has been developed to measure decision-making by adopting the same principle of Iowa Gambling Task in humans. In the present study, we examined using next-generation sequencing (NGS) technique whether there are differences in gene expression profiles in the medial prefrontal cortex (mPFC) and the nucleus accumbens (NAc) when rats make different choices toward risk in rGT. METHODS: Rats were trained in a touch screen chamber to learn the relationships between 4 different light signals on the window of the screen and accompanied reward outcomes or punishments set up with different magnitudes and probabilities. Once they showed a stabilized pattern of preference upon free choice, rats were classified into risk-averse or risk-seeking groups. After performing the rGT, rats were decapitated, the mPFC and the NAc was dissected out, and NGS was performed with the total RNA extracted. RESULTS: We found that 477 and 36 genes were differentially expressed (approximately 75 and 83% out of them were downregulated) in the mPFC and the NAc, respectively, in risk-seeking compared to risk-averse rats. Among those, we suggested a few top ranked genes that may contribute to promoting risky choices. DISCUSSION AND CONCLUSIONS: Our findings provide insights into transcriptional components underlying risky choices in rats. Akadémiai Kiadó 2022-09-12 2022-09 /pmc/articles/PMC9872528/ /pubmed/36094860 http://dx.doi.org/10.1556/2006.2022.00068 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/ Open Access. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.
spellingShingle Article
Kwak, Myung Ji
Kim, Wha Young
Jung, Seung-Hyun
Chung, Yeun-Jun
Kim, Jeong-Hoon
Differential transcriptome profile underlying risky choice in a rat gambling task
title Differential transcriptome profile underlying risky choice in a rat gambling task
title_full Differential transcriptome profile underlying risky choice in a rat gambling task
title_fullStr Differential transcriptome profile underlying risky choice in a rat gambling task
title_full_unstemmed Differential transcriptome profile underlying risky choice in a rat gambling task
title_short Differential transcriptome profile underlying risky choice in a rat gambling task
title_sort differential transcriptome profile underlying risky choice in a rat gambling task
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872528/
https://www.ncbi.nlm.nih.gov/pubmed/36094860
http://dx.doi.org/10.1556/2006.2022.00068
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