scholarly journals Relationship Between Clock Gene Expression, MEQ Score, and Exercise Performance

2018 ◽  
Vol 50 (5S) ◽  
pp. 793
Author(s):  
Karina Ando ◽  
Masaki Takahashi ◽  
Shigenobu Shibata ◽  
Hideyuki Takahashi

2021 ◽  
Vol 7 (1) ◽  
pp. e000876
Author(s):  
Alireza Basti ◽  
Müge Yalçin ◽  
David Herms ◽  
Janina Hesse ◽  
Ouda Aboumanify ◽  
...  

ObjectivesIn this study, we investigated daily fluctuations in molecular (gene expression) and physiological (biomechanical muscle properties) features in human peripheral cells and their correlation with exercise performance.Methods21 healthy participants (13 men and 8 women) took part in three test series: for the molecular analysis, 15 participants provided hair, blood or saliva time-course sampling for the rhythmicity analysis of core-clock gene expression via RT-PCR. For the exercise tests, 16 participants conducted strength and endurance exercises at different times of the day (9h, 12h, 15h and 18h). Myotonometry was carried out using a digital palpation device (MyotonPRO), five muscles were measured in 11 participants. A computational analysis was performed to relate core-clock gene expression, resting muscle tone and exercise performance.ResultsCore-clock genes show daily fluctuations in expression in all biological samples tested for all participants. Exercise performance peaks in the late afternoon (15–18 hours for both men and women) and shows variations in performance, depending on the type of exercise (eg, strength vs endurance). Muscle tone varies across the day and higher muscle tone correlates with better performance. Molecular daily profiles correlate with daily variation in exercise performance.ConclusionTraining programmes can profit from these findings to increase efficiency and fine-tune timing of training sessions based on the individual molecular data. Our results can benefit both professional athletes, where a fraction of seconds may allow for a gold medal, and rehabilitation in clinical settings to increase therapy efficacy and reduce recovery times.



2020 ◽  
Author(s):  
D Palm ◽  
A Uzoni ◽  
J Thome ◽  
F Faltraco


2004 ◽  
Vol 120 (2) ◽  
pp. 164-172 ◽  
Author(s):  
V Simonneaux ◽  
V.-J Poirel ◽  
M.-L Garidou ◽  
D Nguyen ◽  
E Diaz-Rodriguez ◽  
...  


Cephalalgia ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 496-502 ◽  
Author(s):  
Carmen Fourier ◽  
Caroline Ran ◽  
Margret Zinnegger ◽  
Anne-Sofie Johansson ◽  
Christina Sjöstrand ◽  
...  

Background Cluster headache is characterized by recurrent unilateral headache attacks of severe intensity. One of the main features in a majority of patients is a striking rhythmicity of attacks. The CLOCK ( Circadian Locomotor Output Cycles Kaput) gene encodes a transcription factor that serves as a basic driving force for circadian rhythm in humans and is therefore particularly interesting as a candidate gene for cluster headache. Methods We performed an association study on a large Swedish cluster headache case-control sample (449 patients and 677 controls) screening for three single nucleotide polymorphisms (SNPs) in the CLOCK gene implicated in diurnal preference (rs1801260) or sleep duration (rs11932595 and rs12649507), respectively. We further wanted to investigate the effect of identified associated SNPs on CLOCK gene expression. Results We found a significant association with rs12649507 and cluster headache ( p = 0.0069) and this data was strengthened when stratifying for reported diurnal rhythmicity of attacks ( p = 0.0009). We investigated the effect of rs12649507 on CLOCK gene expression in human primary fibroblast cultures and identified a significant increase in CLOCK mRNA expression ( p = 0.0232). Conclusions Our results strengthen the hypothesis of the involvement of circadian rhythm in cluster headache.





PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e19755 ◽  
Author(s):  
Kenneth D. Hoadley ◽  
Alina M. Szmant ◽  
Sonja J. Pyott


2021 ◽  
Vol 18 (182) ◽  
pp. 20210454
Author(s):  
Natthapong Sueviriyapan ◽  
Daniel Granados-Fuentes ◽  
Tatiana Simon ◽  
Erik D. Herzog ◽  
Michael A. Henson

In the suprachiasmatic nucleus (SCN), γ-aminobutyric acid (GABA) is a primary neurotransmitter. GABA can signal through two types of GABA A receptor subunits, often referred to as synaptic GABA A (gamma subunit) and extra-synaptic GABA A (delta subunit). To test the functional roles of these distinct GABA A in regulating circadian rhythms, we developed a multicellular SCN model where we could separately compare the effects of manipulating GABA neurotransmitter or receptor dynamics. Our model predicted that blocking GABA signalling modestly increased synchrony among circadian cells, consistent with published SCN pharmacology. Conversely, the model predicted that lowering GABA A receptor density reduced firing rate, circadian cell fraction, amplitude and synchrony among individual neurons. When we tested these predictions, we found that the knockdown of delta GABA A reduced the amplitude and synchrony of clock gene expression among cells in SCN explants. The model further predicted that increasing gamma GABA A densities could enhance synchrony, as opposed to increasing delta GABA A densities. Overall, our model reveals how blocking GABA A receptors can modestly increase synchrony, while increasing the relative density of gamma over delta subunits can dramatically increase synchrony. We hypothesize that increased gamma GABA A density in the winter could underlie the tighter phase relationships among SCN cells.



2014 ◽  
Vol 125 (3) ◽  
pp. 329-332 ◽  
Author(s):  
Shunpei Moriya ◽  
Yu Tahara ◽  
Hiroyuki Sasaki ◽  
Yutaro Hamaguchi ◽  
Daisuke Kuriki ◽  
...  


2018 ◽  
Vol 35 (4) ◽  
pp. 999-1000 ◽  
Author(s):  
Huan Li ◽  
Sheng Song ◽  
Yuan Wang ◽  
Chun Huang ◽  
Feng Zhang ◽  
...  




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