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Updated: Jun 27, 2025
Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Integrated Proteomics and Protein Co-expression Network Analysis Identifies Novel Epileptogenic Mechanism in Mesial
Arpna Srivastava1, Priya Rajput2, Manjari Tripathi1
1Department of Neurology, AIIMS, New Delhi, India.
Abstract:
Over 50 million people worldwide are affected by epilepsy, a common neurological disorder that has a high rate of drug resistance and diverse comorbidities such as progressive cognitive and behavioural disorders, and increased mortality from direct or indirect effects of seizures and therapies. Despite extensive research with animal models and human studies, limited insights have been gained into the mechanisms underlying seizures and epileptogenesis, which has not translated into significant reductions in drug resistance, morbidities, or mortality. To better understand the molecular signaling networks associated with seizures in MTLE patients, we analyzed the proteome of brain samples from MTLE and control cases using an integrated approach that combines mass spectrometry-based quantitative proteomics, differential expression analysis, and co-expression network analysis. Our analyses of 20 human brain tissues from MTLE patients and 20 controls showed the organization of the brain proteome into a network of 9 biologically meaningful modules of co-expressed proteins. Of these, 6 modules are positively or negatively correlated to MTLE phenotypes with hub proteins that are altered in MTLE patients. Our study is the first to employ an integrated approach of proteomics and protein co-expression network analysis to study patients with MTLE. Our findings reveal a molecular blueprint of altered protein networks in MTLE brain and highlight dysregulated pathways and processes including altered cargo transport, neurotransmitter release from synaptic vesicles, synaptic plasticity, proteostasis, RNA homeostasis, ion transport and transmembrane transport, cytoskeleton disorganization, metabolic and mitochondrial dysfunction, blood micro-particle function, extracellular matrix organization, immune response, neuroinflammation, and cell signaling. These insights into MTLE pathogenesis suggest potential new candidates for future diagnostic and therapeutic development.
Insights
This study reveals altered protein networks in mesial temporal lobe epilepsy (MTLE) brains, identifying key molecular pathways involved in seizure disorders. These findings offer new targets for diagnosing and treating epilepsy.
Area of Science:
- Neuroscience
- Molecular Biology
- Systems Biology
Background:
- Epilepsy affects over 50 million globally, characterized by drug resistance and comorbidities.
- Current understanding of seizure and epileptogenesis mechanisms is limited, hindering therapeutic advancements.
- Mesial temporal lobe epilepsy (MTLE) presents complex challenges in cognitive and behavioral disorders, mortality, and treatment resistance.
Purpose of the Study:
- To investigate the molecular signaling networks in the brain proteome of MTLE patients.
- To identify altered protein networks and pathways associated with MTLE pathogenesis.
- To uncover potential targets for diagnostic and therapeutic development in MTLE.
Main Methods:
- Proteomic analysis of 20 human MTLE brain tissues and 20 controls using mass spectrometry.
- Differential expression analysis to identify protein abundance changes.
- Protein co-expression network analysis to map molecular interactions and identify key modules and hub proteins.
Main Results:
- Identified 9 biologically meaningful modules of co-expressed proteins in the brain proteome.
- Found 6 modules significantly correlated with MTLE phenotypes, highlighting altered hub proteins.
- Revealed dysregulation in pathways including cargo transport, synaptic function, proteostasis, RNA homeostasis, metabolism, neuroinflammation, and cell signaling.
Conclusions:
- The study provides a molecular blueprint of altered protein networks in MTLE.
- Identified dysregulated pathways offer insights into MTLE pathogenesis.
- Findings suggest novel candidate biomarkers and therapeutic targets for MTLE and related epilepsy conditions.
