Evidence map›Paper›PMID 36094860›Full record

ArticleJournal of behavioral addictions2022

Differential transcriptome profile underlying risky choice in a rat gambling task.

Myung Ji Kwak, Wha Young Kim, Seung-Hyun Jung, Yeun-Jun Chung, Jeong-Hoon Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Myung Ji Kwak1Department of Medical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, South Korea.ORCID 0000-0001-7837-9936
Wha Young Kim2Department of Physiology, Yonsei University College of Medicine, Seoul 03722, South Korea.ORCID 0000-0003-1744-7012
Seung-Hyun Jung3Department of Biochemistry, Cancer Evolution Research Center, The Catholic University of Korea College of Medicine, Seoul 06591, South Korea.ORCID 0000-0003-1128-892X
Yeun-Jun Chung4Department of Biomedicine & Health Sciences, The Catholic University of Korea College of Medicine, Seoul 06591, South Korea.ORCID 0000-0002-6943-5948
Jeong-Hoon Kim1Department of Medical Sciences, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, South Korea.ORCID 0000-0001-7095-3729
Yonsei University · KRCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Choice BehaviorGamblingAnimalsDecision MakingHumansRatsRats, Long-EvansRewardTranscriptomemedial prefrontal cortexrat gambling taskrisky choicetranscriptome

Identifiers

PMID36094860
PMCPMC9872528
OpenAlexW4296546745

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.