Proteomic Studies in Absence Epilepsy: A Systematic Review of Methodological Diversity and Implications for Data

Aslihan Gunel1,2,3

  • 1Institute of Health Sciences, Department of Neuroscience, Acibadem Mehmet Ali Aydinlar University, 34638 Istanbul, Türkiye.

PubMed

Insights

Proteomics research in absence epilepsy (AE) is crucial for understanding its molecular basis. This review critically examines proteomic methods in rodent models, offering a framework for more robust studies.

Area of Science:

  • Neuroscience
  • Biochemistry
  • Genetics

Background:

  • Absence epilepsy (AE) is a common pediatric epilepsy syndrome characterized by brief consciousness lapses and specific EEG patterns.
  • The underlying molecular mechanisms of AE are not fully understood.
  • Proteomic approaches are valuable for AE research but face methodological heterogeneity, hindering data integration.

Purpose of the Study:

  • To critically review proteomic methodologies used in rodent models of absence epilepsy.
  • To evaluate emerging technologies and their potential to overcome current limitations.
  • To provide a framework for designing more robust and reproducible proteomic studies in AE.

Main Methods:

  • Review of proteomic methodologies in genetic (GAERS, WAG/Rij) and pharmacologically induced rodent models of AE.
  • Detailed examination of the technical workflow: tissue sampling, protein preparation (gel-based/gel-free), and mass spectrometry (data-dependent/independent acquisition).
  • Evaluation of emerging technologies like spatial proteomics, TIMS-PASEF, and AI integration.

Main Results:

  • Identified convergent molecular pathways in AE, including synaptic dysfunction, altered energy metabolism, and neuroinflammation.
  • Highlighted the impact of methodological choices (model, dissection, preparation, analysis) on experimental outcomes.
  • Demonstrated the potential of advanced techniques to improve data quality and interpretation.

Conclusions:

  • Methodological standardization is essential for advancing AE proteomic research.
  • Emerging technologies offer promising avenues for deeper mechanistic insights.
  • This review provides a framework to enhance the robustness, reproducibility, and clinical relevance of AE proteomic studies.