Epilepsy: From Mechanisms to Therapeutic Approaches

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 406

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Guest Editor
Department of Physiology and Biophysics, Howard University School of Medicine, Washington, DC 20059, USA
Interests: ion channels; calcium signaling; epilepsy; alcohol withdrawal seizures; prenatal alcohol exposure; substance abuse
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Special Issue Information

Dear Colleagues,

Epilepsy is a common neurological disease that results in recurring seizures. Despite the availability of over 30 antiseizure medications, about one-third of epilepsy patients continue to experience uncontrolled seizures. Therefore, there is an urgent need for innovative therapeutic strategies to manage epilepsy. This Special Issue invites papers that can provide new insights into the mechanisms underlying epileptogenesis and the development of pharmacoresistant epilepsy.

Dr. Prosper N'Gouemo
Guest Editor

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Keywords

  • genetic epilepsy
  • acquired epilepsy
  • neonatal seizures
  • epileptogenesis
  • pharmacoresistant epilepsy
  • ion channels
  • calcium signaling

Published Papers (1 paper)

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Research

16 pages, 4969 KiB  
Article
Time- and Region-Specific Selection of Reference Genes in the Rat Brain in the Lithium–Pilocarpine Model of Acquired Temporal Lobe Epilepsy
by Alexander P. Schwarz, Maria V. Zakharova, Anna A. Kovalenko, Alexandra V. Dyomina, Olga E. Zubareva and Aleksey V. Zaitsev
Biomedicines 2024, 12(5), 1100; https://doi.org/10.3390/biomedicines12051100 - 16 May 2024
Viewed by 268
Abstract
Reverse transcription followed by quantitative polymerase chain reaction (RT-qPCR) is a commonly used tool for gene expression analysis. The selection of stably expressed reference genes is required for accurate normalization. The aim of this study was to identify the optimal reference genes for [...] Read more.
Reverse transcription followed by quantitative polymerase chain reaction (RT-qPCR) is a commonly used tool for gene expression analysis. The selection of stably expressed reference genes is required for accurate normalization. The aim of this study was to identify the optimal reference genes for RT-qPCR normalization in various brain regions of rats at different stages of the lithium–pilocarpine model of acquired epilepsy. We tested the expression stability of nine housekeeping genes commonly used as reference genes in brain research: Actb, Gapdh, B2m, Rpl13a, Sdha, Ppia, Hprt1, Pgk1, and Ywhaz. Based on four standard algorithms (geNorm, NormFinder, BestKeeper, and comparative delta-Ct), we found that after pilocarpine-induced status epilepticus, the stability of the tested reference genes varied significantly between brain regions and depended on time after epileptogenesis induction (3 and 7 days in the latent phase, and 2 months in the chronic phase of the model). Pgk1 and Ywhaz were the most stable, while Actb, Sdha, and B2m demonstrated the lowest stability in the analyzed brain areas. We revealed time- and region-specific changes in the mRNA expression of the housekeeping genes B2m, Actb, Sdha, Rpl13a, Gapdh, Hprt1, and Sdha. These changes were more pronounced in the hippocampal region during the latent phase of the model and are thought to be related to epileptogenesis. Thus, RT-qPCR analysis of mRNA expression in acquired epilepsy models requires careful selection of reference genes depending on the brain region and time of analysis. For the time course study of epileptogenesis in the rat lithium–pilocarpine model, we recommend the use of the Pgk1 and Ywhaz genes. Full article
(This article belongs to the Special Issue Epilepsy: From Mechanisms to Therapeutic Approaches)
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