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Updated: Feb 14, 2026

Whole-cell Currents Induced by Puff Application of GABA in Brain Slices
Published on: October 12, 2017
Desynchrony between brain and peripheral clocks caused by CK1δ/ε disruption in GABA neurons does not lead to adverse
Vincent van der Vinne1, Steven J Swoap2, Thomas J Vajtay3
1Department of Neurobiology, University of Massachusetts Medical School, Worcester, MA 01605; vincentvandervinne@gmail.com david.weaver@umassmed.edu.
Abstract:
Circadian disruption as a result of shift work is associated with adverse metabolic consequences. Internal desynchrony between the phase of the suprachiasmatic nuclei (SCN) and peripheral clocks is widely believed to be a major factor contributing to these adverse consequences, but this hypothesis has never been tested directly. A GABAergic Cre driver combined with conditional casein kinase mutations (Vgat-CreCK1δε ) was used to lengthen the endogenous circadian period in GABAergic neurons, including the SCN, but not in peripheral tissues, to create a Discordant mouse model. These mice had a long (27.4 h) behavioral period to which peripheral clocks entrained in vivo, albeit with an advanced phase (∼6 h). Thus, in the absence of environmental timing cues, these mice had internal desynchrony between the SCN and peripheral clocks. Surprisingly, internal desynchrony did not result in obesity in this model. Instead, Discordant mice had reduced body mass compared with Cre-negative controls on regular chow and even when challenged with a high-fat diet. Similarly, internal desynchrony failed to induce glucose intolerance or disrupt body temperature and energy expenditure rhythms. Subsequently, a lighting cycle of 2-h light/23.5-h dark was used to create a similar internal desynchrony state in both genotypes. Under these conditions, Discordant mice maintained their lower body mass relative to controls, suggesting that internal desynchrony did not cause the lowered body mass. Overall, our results indicate that internal desynchrony does not necessarily lead to metabolic derangements and suggest that additional mechanisms contribute to the adverse metabolic consequences observed in circadian disruption protocols.
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