Literature DB >> 16361876

Laughter regulates gene expression in patients with type 2 diabetes.

Takashi Hayashi1, Osamu Urayama, Koichi Kawai, Keiko Hayashi, Shizuko Iwanaga, Masayuki Ohta, Toshiro Saito, Kazuo Murakami.   

Abstract

BACKGROUND: Positive emotions influence endocrinological and immunological response. This study examined the effect of laughter,as an expression of positive emotion, in terms of gene expression changes.
METHODS: Using a microarray technique, we analyzed the changes in expression of 18,716 genes from peripheral blood leukocytes in patients with type 2 diabetes, which were induced by laughter.
RESULTS: Of the 18,716 genes, 23 genes showed significantly different expression changes after listening to the comic story compared to the lecture. Eight were relatively upregulated and 15 were downregulated 1.5 h after the laughing episode. However, these genes did not include genes that are directly involved in blood glucose metabolism. Among the 23 genes discriminated, all 4 genes encoding proteins involved in the immune response and all 4 signal transduction genes were downregulated. Moreover, it is noteworthy that 5 of the 8 relatively upregulated genes were related to the cell cycle, apoptosis, and cell adhesion.
CONCLUSIONS: We demonstrated that laughter, which is an expression of positive emotion, is linked to gene expression. However, the finding of this study does not allow reasonable interpretation for the regulation of gene expression by laughter. A more focused study is needed that may identify the candidate genes for the association between physical condition and positive emotion. Copyright 2006 S. Karger AG, Basel.

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Mesh:

Year:  2006        PMID: 16361876     DOI: 10.1159/000089228

Source DB:  PubMed          Journal:  Psychother Psychosom        ISSN: 0033-3190            Impact factor:   17.659


  3 in total

1.  Most random gene expression signatures are significantly associated with breast cancer outcome.

Authors:  David Venet; Jacques E Dumont; Vincent Detours
Journal:  PLoS Comput Biol       Date:  2011-10-20       Impact factor: 4.475

2.  Association between visual status and the frequency of laughter in older Japanese individuals: the JAGES cross-sectional study.

Authors:  Akira Inoue; Yoshimune Hiratsuka; Atsuhide Takesue; Jun Aida; Katsunori Kondo; Akira Murakami
Journal:  BMJ Open Ophthalmol       Date:  2022-03-23

3.  A measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.

Authors:  David Venet; Vincent Detours; Hugues Bersini
Journal:  PLoS One       Date:  2012-12-12       Impact factor: 3.240

  3 in total

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