Functional characterization of a human epilepsy-associated gene network reveals metabolic regulation as a critical factor underlying seizure susceptibilities

Epilepsy is a mechanistically complex, incompletely understood neurological disorder. To uncover novel converging mechanisms in epilepsy, we used Drosophila whole-brain single-cell RNA sequencing to refine and characterize a previously proposed human epilepsy-associated gene co-expression network (GCN). We identified a conserved co-expressed module of 26 genes, which comprises fly orthologs of 13 epilepsy-associated genes and integrates synaptic and metabolic functions. Over one-third of the Drosophila pan-neuronal knockdown models targeting this module exhibited altered seizure-like behaviors in response to mechanical or heat stress. These knockdown models recapitulated seizures associated with four epilepsy-associated genes and identified two novel epilepsy candidate genes and three genes for which knockdown conferred seizure protection. Most knockdown models with altered seizure susceptibility showed changes in metabolic rate and levels of phosphorylated adenosine monophosphate-activated protein kinase (AMPK), a key regulator of cellular energy homeostasis. Enhancing AMPK activity increased seizure resistance in a dose-dependent manner. Our findings show that Drosophila single-cell expression data and behavior can aid functional validation of human GCNs and highlight a role for metabolism in modifying seizure susceptibility.

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Publication Details

Journal
Disease Models & Mechanisms
Published
2025-05-22
DOI
https://doi.org/10.1242/dmm.052307
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
0.00

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article

Functional characterization of a human epilepsy-associated gene network reveals metabolic regulation as a critical factor underlying seizure susceptibilities

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Functional characterization of a human epilepsy-associated gene network reveals metabolic regulation as a critical factor underlying seizure susceptibilities

Ana Serna‐Gallego, Mireia Coll-Tané, Sara Aibar, Annette Schenck, Patrik Verstreken, Spencer Jones, Martijn A. Huynen, Boyd van Reijmersdal, Kevin Lüthy, Franziska Kampshoff, Jingyi Long
article en

Abstract

Epilepsy is a mechanistically complex, incompletely understood neurological disorder. To uncover novel converging mechanisms in epilepsy, we used Drosophila whole-brain single-cell RNA sequencing to refine and characterize a previously proposed human epilepsy-associated gene co-expression network (GCN). We identified a conserved co-expressed module of 26 genes, which comprises fly orthologs of 13 epilepsy-associated genes and integrates synaptic and metabolic functions. Over one-third of the Drosophila pan-neuronal knockdown models targeting this module exhibited altered seizure-like behaviors in response to mechanical or heat stress. These knockdown models recapitulated seizures associated with four epilepsy-associated genes and identified two novel epilepsy candidate genes and three genes for which knockdown conferred seizure protection. Most knockdown models with altered seizure susceptibility showed changes in metabolic rate and levels of phosphorylated adenosine monophosphate-activated protein kinase (AMPK), a key regulator of cellular energy homeostasis. Enhancing AMPK activity increased seizure resistance in a dose-dependent manner. Our findings show that Drosophila single-cell expression data and behavior can aid functional validation of human GCNs and highlight a role for metabolism in modifying seizure susceptibility.

Disease Models & MechanismsVol. 19(1)
Allen Institute for Brain Science (US), Radboud University Nijmegen (NL), University Medical Center (US), Radboud University Medical Center (NL), Center for Human Genetics (US), VIB-KU Leuven Center for Brain & Disease Research (BE), KU Leuven (BE)
ZonMw, China Scholarship Council, Radboud Universitair Medisch Centrum
Affordable and clean energy
Openalex Percentile: Top 90%
Mitochondrial Function and Pathology
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