Literature DB >> 31785261

A systems-level framework for anti-epilepsy drug discovery.

Michael R Johnson1, Rafal M Kaminski2.   

Abstract

Modern anti-seizure drug development yielded benefits in terms of improved pharmacokinetics, safety and tolerability profiles, but offered no advances in efficacy compared to previous older generations of anti-seizure drugs. Despite significant advances in our understanding of the genetic bases to epilepsy, and a welcome renewed interest on the severe monogenic epilepsies, modern genetics has yet to directly inform more effective or disease-modifying anti-seizure drugs. Here, we describe a new approach to the identification of novel disease modifying anti-epilepsy drugs. The systems genetics approach aims to first identify pathophysiological mechanisms by integrating polygenic risk with cellular gene expression profiles and then to relate these molecular mechanisms to druggable targets using a gene regulatory (regulome) framework. The approach offers an exciting and flexible framework for future drug discovery in epilepsy, and is applicable to any disease for which appropriate cell-type and disease-context specific data exist. This article is part of the special issue entitled 'New Epilepsy Therapies for the 21st Century - From Antiseizure Drugs to Prevention, Modification and Cure of Epilepsy'.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Disease modification; Drug discovery; Epilepsy; Gene regulatory network; Integrative genomics; Network; RNA-seq; Regulome; Single-cell; Systems genetics; Transcriptomics; scRNA-seq; snRNA-seq

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Year:  2019        PMID: 31785261     DOI: 10.1016/j.neuropharm.2019.107868

Source DB:  PubMed          Journal:  Neuropharmacology        ISSN: 0028-3908            Impact factor:   5.250


  3 in total

1.  A Transcriptome-Based Drug Discovery Paradigm for Neurodevelopmental Disorders.

Authors:  Ryan S Dhindsa; Anthony W Zoghbi; Daniel K Krizay; Chirag Vasavda; David B Goldstein
Journal:  Ann Neurol       Date:  2020-11-18       Impact factor: 10.422

2.  Effects of Levetiracetam on the Serum C-Reactive Protein in Children With Epilepsy: A Meta-Analysis.

Authors:  You-Feng Zhou; Yan Huang; Guang-Hua Liu
Journal:  Front Pharmacol       Date:  2022-04-20       Impact factor: 5.810

Review 3.  Personalized Medicine Using Cutting Edge Technologies for Genetic Epilepsies.

Authors:  Sheila Garcia-Rosa; Bianca de Freitas Brenha; Vinicius Felipe da Rocha; Ernesto Goulart; Bruno Henrique Silva Araujo
Journal:  Curr Neuropharmacol       Date:  2021       Impact factor: 7.363

  3 in total

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