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Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
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Hair Follicles as a Critical Model for Monitoring the Circadian Clock
Li-Ping Liu1,2, Meng-Huan Li1,2, Yun-Wen Zheng2,3,4,5,6
1Department of Dermatology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China.
International Journal of Molecular Sciences
|February 11, 2023
Summary
Hair follicles (HFs) express circadian clock genes, offering a noninvasive method to monitor circadian rhythm disorders. Combining HF analysis with other metrics can enhance understanding and personalize chronotherapy.
Area of Science:
- Chronobiology
- Dermatology
- Molecular Biology
Background:
- Circadian (clock) genes show varied expression in hair follicles (HFs).
- These genes are influenced by the central circadian system, light, and thyroid hormones.
- Circadian genes regulate key HF processes like hair growth and pigmentation.
Purpose of the Study:
- To explore the potential of hair follicles as a noninvasive tool for monitoring circadian rhythm disorders.
- To investigate how hair follicle gene expression can aid in understanding circadian biology and related conditions.
- To highlight the role of HFs in personalized chronotherapy.
Main Methods:
- Analysis of heterogeneous clock gene expression in hair follicles.
- Correlation of HF gene expression with central circadian rhythms and extrinsic factors.
- Integration of HF sampling with multidimensional assays (e.g., body temperature, blood samples, questionnaires).
Main Results:
- Hair follicles exhibit synchronized peripheral circadian gene expression, mirroring the central clock.
- HF gene expression profiles can reflect conditions like shift work, sleep disorders, and aging.
- Multidimensional assays combined with HF analysis can improve monitoring accuracy.
Conclusions:
- Hair follicles serve as a critical model for circadian clock monitoring.
- HF analysis aids in understanding mechanisms of circadian-rhythm-related disorders.
- Personalized chronotherapy can be developed based on HF gene expression profiles.
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