| Title |
Effects of bright light exposure during daytime on peripheral clock gene expression in humans
|
|---|---|
| Published in |
International Journal of Biometeorology, December 2016
|
| DOI | 10.1007/s00484-016-1294-9 |
| Pubmed ID | |
| Authors |
Maki Sato, Tomoko Wakamura, Takeshi Morita, Akihiko Okamoto, Makoto Akashi, Takuya Matsui, Motohiko Sato |
| Abstract |
Light is the strongest synchronizer controlling circadian rhythms. The intensity and duration of light change throughout the year, thereby influencing body weight, food preferences, and melatonin secretion in humans and animals. Although the expression of clock genes has been examined using human samples, it currently remains unknown whether bright light during the daytime affects the expression of these genes in humans. Therefore, we herein investigated the effects of bright light exposure during the daytime on clock gene expression in the hair follicular and root cells of the human scalp. Seven healthy men (20.4 ± 2.2 years old; 172.3 ± 5.8 cm; 64.3 ± 8.5 kg; BMI 21.7 ± 3.1 kg/m(2), mean ± SD) participated in this study. Subjects completed 3-day experimental sessions twice in 1 month during which they were exposed to bright and dim light conditions. The mRNA expression of Per1-3, Cry1-2, Rev-erb-α (Nr1d1), Rev-erb-β (Nr1d2), and Dec1 was analyzed using branched DNA probes. No significant changes were observed in the expression of Per1, Per2, Per3, Cry1, Cry2, Rev-erb-α (Nr1d1), or Dec1 following exposure to bright light conditions. However, the expression of Rev-erb-β (Nr1d2) tended to be stronger under bright light than dim light conditions. These results suggest that the bright light stimulus did not influence the expression of clock genes in humans. Long-lasting bright light exposure during the daytime may be required to change the expression of clock genes in humans. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 5 | 14% |
| Other | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 10 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 July 2017.
All research outputs
#18,560,904
of 22,988,380 outputs
Outputs from International Journal of Biometeorology
#1,087
of 1,299 outputs
Outputs of similar age
#291,432
of 395,549 outputs
Outputs of similar age from International Journal of Biometeorology
#16
of 20 outputs
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