Peripheral metabolic dysfunction drives sleep disruption in TDP-43 proteinopathy

Read full text
Authors: Anyara Rodriguez, Jenny Luong, Samuel J. Belfer, Oksana Shcherbakova, Jaclyn Durkin, Pinky Kain, Arjun Sengupta, Alexandra E. Perlegos, Farheen Akhtar, Daniel J. Boehmler, Zhecheng Jin, Aalim M. Weljie
+2 more Nancy M. Bonini, Matthew S. Kayser
Cited by: 1
References: 44

Abstract

Abstract Sleep disruption is an early and prevalent feature of neurodegenerative disease, commonly attributed to neuronal circuit dysfunction or cell loss. However, sleep is tightly coupled to metabolic state, raising the possibility that systemic metabolic abnormalities contribute to disease-associated sleep phenotypes. Using Drosophila models of TDP-43 proteinopathy, we investigated whether peripheral metabolic dysfunction plays a causal role in sleep disruption. We show that TDP-43 expression induces a chronic, starvation-like metabolic state characterized by depletion of peripheral carbohydrate stores despite normal feeding. Restoration of sleep fails to correct these metabolic defects, whereas improving peripheral metabolic state robustly rescues sleep. A modifier screen of ∼650 RNAi lines identified Salt-inducible kinase 3 (SIK3) as a potent suppressor of both sleep loss and starvation sensitivity. Transcriptomic and spatial metabolomic analyses reveal that SIK3 selectively remodels a peripheral metabolic program centered on the pentose phosphate pathway and redox-associated metabolites without globally restoring energy stores. Together, these findings identify systemic metabolic dysfunction as a key driver of sleep disruption in TDP-43 proteinopathy and highlight peripheral metabolism as a potential therapeutic entry point for sleep dysfunction in neurodegenerative disease.

Fields of Study & Subjects

Sleep and Wakefulness Research Sleep and related disorders Parkinson's Disease Mechanisms and Treatments

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
24 February 2026
Language
EN
Document type
Preprint