4.7 Review

A systems-level framework for anti-epilepsy drug discovery

Journal

NEUROPHARMACOLOGY
Volume 170, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neuropharm.2019.107868

Keywords

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

Funding

  1. UCB Pharma
  2. Imperial College NIHR Biomedical Research Centre (BRC) Scheme
  3. UK Medical Research Council (MRC)
  4. European Union's Seventh Framework Programme (FP7)

Ask authors/readers for more resources

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'.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available