Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol.
<h4>Introduction</h4>Circadian rhythms (CR) regulate daily cycles in behavior, physiology and molecular processes. CRs are endogenous and vary across individuals. Seasonal changes can influence CR. Accordingly, rhythms with different characteristics (amplitude, phase) are depicted during...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0293226&type=printable |
| _version_ | 1797640213183332352 |
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| author | Müge Yalçin Angela Relógio |
| author_facet | Müge Yalçin Angela Relógio |
| author_sort | Müge Yalçin |
| collection | DOAJ |
| description | <h4>Introduction</h4>Circadian rhythms (CR) regulate daily cycles in behavior, physiology and molecular processes. CRs are endogenous and vary across individuals. Seasonal changes can influence CR. Accordingly, rhythms with different characteristics (amplitude, phase) are depicted during the summer months, as compared to winter. Increasing evidence points to an influence of circadian regulation on physical performance. Here, we aim to obtain a comprehensive circadian gene expression profile for physically active individuals, which can potentially be used for the identification of optimal time intervals for physical exercise.<h4>Methods and analysis</h4>To explore these different aspects, we propose a study where we will carry out a molecular analysis of CR by measuring the expression of specific clock and clock-controlled genes, based on a non-invasive approach using RNA extracted from saliva in physically active, healthy participants. We will collect data across two seasons and use computational algorithms to integrate the molecular data with hormonal data (cortisol and melatonin), and generate a profile of CR in healthy individuals of different sex and age groups. Finally, we will use computational tools to predict optimal time intervals for physical performance based on the above-described data, thereby retrieving valuable data on the circadian clock as a key factor for health maintenance and optimization. |
| first_indexed | 2024-03-11T13:28:40Z |
| format | Article |
| id | doaj.art-902c2421a2e44eb0859084f0ca771b07 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-11T13:28:40Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-902c2421a2e44eb0859084f0ca771b072023-11-03T05:32:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011810e029322610.1371/journal.pone.0293226Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol.Müge YalçinAngela Relógio<h4>Introduction</h4>Circadian rhythms (CR) regulate daily cycles in behavior, physiology and molecular processes. CRs are endogenous and vary across individuals. Seasonal changes can influence CR. Accordingly, rhythms with different characteristics (amplitude, phase) are depicted during the summer months, as compared to winter. Increasing evidence points to an influence of circadian regulation on physical performance. Here, we aim to obtain a comprehensive circadian gene expression profile for physically active individuals, which can potentially be used for the identification of optimal time intervals for physical exercise.<h4>Methods and analysis</h4>To explore these different aspects, we propose a study where we will carry out a molecular analysis of CR by measuring the expression of specific clock and clock-controlled genes, based on a non-invasive approach using RNA extracted from saliva in physically active, healthy participants. We will collect data across two seasons and use computational algorithms to integrate the molecular data with hormonal data (cortisol and melatonin), and generate a profile of CR in healthy individuals of different sex and age groups. Finally, we will use computational tools to predict optimal time intervals for physical performance based on the above-described data, thereby retrieving valuable data on the circadian clock as a key factor for health maintenance and optimization.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0293226&type=printable |
| spellingShingle | Müge Yalçin Angela Relógio Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. PLoS ONE |
| title | Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. |
| title_full | Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. |
| title_fullStr | Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. |
| title_full_unstemmed | Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. |
| title_short | Sex and age-dependent characterization of the circadian clock as a potential biomarker for physical performance: A prospective study protocol. |
| title_sort | sex and age dependent characterization of the circadian clock as a potential biomarker for physical performance a prospective study protocol |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0293226&type=printable |
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