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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2022
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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. |
format | Online Article Text |
id | pubmed-9872528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
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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