A metabolic perspective to sleep genetics

Daniel C Levine; Louis J Ptáček; Ying-Hui Fu

doi:10.1016/j.conb.2024.102874

A metabolic perspective to sleep genetics

Curr Opin Neurobiol. 2024 Apr 5:86:102874. doi: 10.1016/j.conb.2024.102874. Online ahead of print.

Authors

Daniel C Levine¹, Louis J Ptáček², Ying-Hui Fu³

Affiliations

¹ Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA.
² Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California San Francisco, San Francisco, CA 94143, USA.
³ Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California San Francisco, San Francisco, CA 94143, USA. Electronic address: ying-hui.fu@ucsf.edu.

PMID: 38582021
DOI: 10.1016/j.conb.2024.102874

Abstract

The metabolic signals that regulate sleep and the metabolic functions that occur during sleep are active areas of research. Prior studies have focused on sugars and nucleotides but new genetic evidence suggests novel functions of lipid and amino acid metabolites in sleep. Additional genetic studies of energetic signaling pathways and the circadian clock transcription factor network have increased our understanding of how sleep responds to changes in the metabolic state. This review focuses on key recent insights from genetic experiments in humans and model organisms to improve our understanding of the interrelationship between metabolism and sleep.

Publication types

Review