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An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy

Absence epilepsy syndromes are part of the genetic generalized epilepsies, the pathogenesis of which remains poorly understood, although a polygenic architecture is presumed. Current focus on single molecule or gene identification to elucidate epileptogenic drivers is unable to fully capture the com...

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Autores principales: Harutyunyan, Anna, Chong, Debbie, Li, Rui, Shah, Anup D., Ali, Zahra, Huang, Cheng, Barlow, Christopher K., Perucca, Piero, O’Brien, Terence J., Jones, Nigel C., Schittenhelm, Ralf B., Anderson, Alison, Casillas-Espinosa, Pablo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181682/
https://www.ncbi.nlm.nih.gov/pubmed/35682742
http://dx.doi.org/10.3390/ijms23116063
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author Harutyunyan, Anna
Chong, Debbie
Li, Rui
Shah, Anup D.
Ali, Zahra
Huang, Cheng
Barlow, Christopher K.
Perucca, Piero
O’Brien, Terence J.
Jones, Nigel C.
Schittenhelm, Ralf B.
Anderson, Alison
Casillas-Espinosa, Pablo M.
author_facet Harutyunyan, Anna
Chong, Debbie
Li, Rui
Shah, Anup D.
Ali, Zahra
Huang, Cheng
Barlow, Christopher K.
Perucca, Piero
O’Brien, Terence J.
Jones, Nigel C.
Schittenhelm, Ralf B.
Anderson, Alison
Casillas-Espinosa, Pablo M.
author_sort Harutyunyan, Anna
collection PubMed
description Absence epilepsy syndromes are part of the genetic generalized epilepsies, the pathogenesis of which remains poorly understood, although a polygenic architecture is presumed. Current focus on single molecule or gene identification to elucidate epileptogenic drivers is unable to fully capture the complex dysfunctional interactions occurring at a genetic/proteomic/metabolomic level. Here, we employ a multi-omic, network-based approach to characterize the molecular signature associated with absence epilepsy-like phenotype seen in a well validated rat model of genetic generalized epilepsy with absence seizures. Electroencephalographic and behavioral data was collected from Genetic Absence Epilepsy Rats from Strasbourg (GAERS, n = 6) and non-epileptic controls (NEC, n = 6), followed by proteomic and metabolomic profiling of the cortical and thalamic tissue of rats from both groups. The general framework of weighted correlation network analysis (WGCNA) was used to identify groups of highly correlated proteins and metabolites, which were then functionally annotated through joint pathway enrichment analysis. In both brain regions a large protein-metabolite module was found to be highly associated with the GAERS strain, absence seizures and associated anxiety and depressive-like phenotype. Quantitative pathway analysis indicated enrichment in oxidative pathways and a downregulation of the lysine degradation pathway in both brain regions. GSTM1 and ALDH2 were identified as central regulatory hubs of the seizure-associated module in the somatosensory cortex and thalamus, respectively. These enzymes are involved in lysine degradation and play important roles in maintaining oxidative balance. We conclude that the dysregulated pathways identified in the seizure-associated module may be involved in the aetiology and maintenance of absence seizure activity. This dysregulated activity could potentially be modulated by targeting one or both central regulatory hubs.
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spelling pubmed-91816822022-06-10 An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy Harutyunyan, Anna Chong, Debbie Li, Rui Shah, Anup D. Ali, Zahra Huang, Cheng Barlow, Christopher K. Perucca, Piero O’Brien, Terence J. Jones, Nigel C. Schittenhelm, Ralf B. Anderson, Alison Casillas-Espinosa, Pablo M. Int J Mol Sci Article Absence epilepsy syndromes are part of the genetic generalized epilepsies, the pathogenesis of which remains poorly understood, although a polygenic architecture is presumed. Current focus on single molecule or gene identification to elucidate epileptogenic drivers is unable to fully capture the complex dysfunctional interactions occurring at a genetic/proteomic/metabolomic level. Here, we employ a multi-omic, network-based approach to characterize the molecular signature associated with absence epilepsy-like phenotype seen in a well validated rat model of genetic generalized epilepsy with absence seizures. Electroencephalographic and behavioral data was collected from Genetic Absence Epilepsy Rats from Strasbourg (GAERS, n = 6) and non-epileptic controls (NEC, n = 6), followed by proteomic and metabolomic profiling of the cortical and thalamic tissue of rats from both groups. The general framework of weighted correlation network analysis (WGCNA) was used to identify groups of highly correlated proteins and metabolites, which were then functionally annotated through joint pathway enrichment analysis. In both brain regions a large protein-metabolite module was found to be highly associated with the GAERS strain, absence seizures and associated anxiety and depressive-like phenotype. Quantitative pathway analysis indicated enrichment in oxidative pathways and a downregulation of the lysine degradation pathway in both brain regions. GSTM1 and ALDH2 were identified as central regulatory hubs of the seizure-associated module in the somatosensory cortex and thalamus, respectively. These enzymes are involved in lysine degradation and play important roles in maintaining oxidative balance. We conclude that the dysregulated pathways identified in the seizure-associated module may be involved in the aetiology and maintenance of absence seizure activity. This dysregulated activity could potentially be modulated by targeting one or both central regulatory hubs. MDPI 2022-05-28 /pmc/articles/PMC9181682/ /pubmed/35682742 http://dx.doi.org/10.3390/ijms23116063 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Harutyunyan, Anna
Chong, Debbie
Li, Rui
Shah, Anup D.
Ali, Zahra
Huang, Cheng
Barlow, Christopher K.
Perucca, Piero
O’Brien, Terence J.
Jones, Nigel C.
Schittenhelm, Ralf B.
Anderson, Alison
Casillas-Espinosa, Pablo M.
An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title_full An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title_fullStr An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title_full_unstemmed An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title_short An Integrated Multi-Omic Network Analysis Identifies Seizure-Associated Dysregulated Pathways in the GAERS Model of Absence Epilepsy
title_sort integrated multi-omic network analysis identifies seizure-associated dysregulated pathways in the gaers model of absence epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181682/
https://www.ncbi.nlm.nih.gov/pubmed/35682742
http://dx.doi.org/10.3390/ijms23116063
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