REV-ERB-alpha and -beta coordinately regulate astrocyte reactivity and proteostatic function
Abstract
The molecular circadian clock is a ubiquitous transcriptional–translational feedback loop that regulates CNS function, glial responses, and neurodegenerative pathology. The nuclear receptors REV-ERB-α ( Nr1d1 ) and REV-ERB-β ( Nr1d2 ) are components of the core circadian clock which regulate metabolism, neuroinflammatory responses, synaptic pruning, and protein aggregation, though the cell type–specific effects and relative compensatory effects of REV-ERB-α AND -β in the brain are unknown. To study the CNS functions of REV-ERBs, we developed mouse lines with global or astrocyte-specific, conditional knockout of both REV-ERB-α and -β. We demonstrate that inducible postnatal global deletion of both REV-ERB-α and -β unmasks extensive transcriptional changes in the brain in disease-relevant pathways such as protein catabolism, complement, and oxidative stress which are not observed with REV-ERB-α deletion alone, and drives spontaneous astrocyte reactivity. Astrocyte-specific deletion of REV-ERB-α/-β recapitulates this spontaneous astrocyte reactivity phenotype, indicating that REV-ERBs regulate astrocyte activation in a cell-autonomous manner downstream of the core circadian clock. Upstream transcription factor analysis revealed that REV-ERB-α/-β repress transcription of Stat3 , and astrocytic deletion of REV-ERBs induced astrocytic STAT3 expression and downstream STAT3-mediated gene expression, providing a mechanistic link to the astrocyte reactivity shift. Dual REV-ERB deletion enhanced astrocyte alpha-synuclein uptake and protein degradation in vitro and mitigated alpha-synuclein spreading pathology in an in vivo model of Parkinson’s Disease. This study reveals REV-ERBs as regulators of astrocyte function and implicates astrocyte REV-ERBs as potential therapeutic targets to prevent synucleinopathies and other neurodegenerative pathologies.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (14)
Collin J. Nadarajah
Department of Neurology, Washington University School of Medicine
Michelle Y. Li
Department of Neurology, Washington University School of Medicine
Elsa I. Quillin
Department of Neurology, Washington University School of Medicine
Kevin Boyer
Department of Genetics, Washington University School of Medicine
Julie M. Dimitry
Department of Neurology, Washington University School of Medicine
Yining Chen
School of Chemistry and Chemical Engineering
Melvin W. King
Department of Neurology, Washington University School of Medicine
Ibrahim O. Saliu
Department of Genetics, Washington University School of Medicine
Jiyeon Lee
School of Integrated Technology, College of Computing
Patrick W. Sheehan
Department of Neurology, Washington University School of Medicine
Albert A. Davis
Department of Neurology, Washington University School of Medicine
Mitchell A. Lazar
Guoyan Zhao
Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University
Erik S. Musiek
Department of Neurology, Washington University School of Medicine