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This study reports a novel diagnostic method for latent circadian rhythm sleep-wake disorder using circadian gene oscillations from hair follicle cells to improve sleep disorder differentiation and potential therapeutic intervention.

This review explored how the circadian system might influence diabetes development and management, highlighting mismatches like disrupted sleep-wake cycles and gene mutations that could worsen diabetes, and suggests targeting these for future diabetes prevention and treatment strategies.

Mice with extra sheep genes had hair that fell out and regrew in cycles.

The authors concluded that utilizing clock gene expression from hair follicle cells may improve circadian-phase estimation in clinical settings, aiding the detection of circadian-related sleep problems despite social time constraints.

This study reports that melanocytes form a defined photoresponsive network in the skin that reads environmental light cycles and may influence the sleep-waking cycle similar to the pineal gland.