JACUZI-SD: An automated, high-throughput, minimally stressful approach to sleep depriving larval zebrafish

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Authors: Leah J. Elias, Harrison Khoo, François Kroll, Caroline Zhang, Soojung Hur, Jason Rihel, Seth Blackshaw
Cited by: 1
References: 36

Abstract

Abstract While sleep deprivation broadly disrupts health and well-being, the neural and molecular mechanisms that signal increased sleep pressure remain poorly understood. A key obstacle to progress is the fact that traditional methods for inducing sleep deprivation (SD) in animal models often introduce confounding stress or disrupt circadian rhythms. Here, we present JACUZI-SD (Jetting Automated Currents Under Zebrafish to Induce Sleep Deprivation), a fully automated, high-throughput system designed to induce sleep deprivation in larval zebrafish with minimal stress. By delivering randomized water pulses via a custom milli-fluidic device integrated with a 96-well plate and controlled by an Arduino, JACUZI-SD promotes wakefulness during the natural dark cycle without the stress associated with existing SD methods. Our results demonstrate that JACUZI-SD reduces total sleep time by 41-64% and elicits a robust rebound sleep characterized by increased sleep bout length following deprivation. Importantly, this method avoids activating the hypothalamic-pituitary-interrenal (HPI) stress axis, as evidenced by reduced stress marker expression compared to other deprivation methods. Additionally, the system reliably activates established sleep pressure pathways, including the upregulation of galanin in the neurosecretory preoptic area, while also revealing biologically relevant inter-individual variability in homeostatic rebound responses. JACUZI-SD provides a powerful, minimally invasive platform for dissecting the neural and molecular underpinnings of sleep homeostasis in vertebrates.

Fields of Study & Subjects

Zebrafish Biomedical Research Applications Sleep and Wakefulness Research Water Quality Monitoring Technologies

Publication details

Journal / source
iScience
Publisher
Elsevier BV
Volume
29
Issue
6
Pages
115954–115954
Publication date
1 May 2026
Language
EN