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Currently no sensitive and specific biomarkers exist to predict drug‐resistant epilepsy. We determined whether blood levels of high‐mobility group box 1 (HMGB1), a mediator of neuroinflammation implicated in drug‐resistant epilepsies, identifies patients with drug‐resistant seizures. Patients with drug‐resistant epilepsy express significantly higher levels of blood HMGB1 than those with drug‐responsive,...
Objective
Current antiepileptic drugs (AEDs) have several shortcomings. For example, they fail to control seizures in 30% of patients. Hence, there is a need to identify new AEDs. Drug repurposing is the discovery of new indications for approved drugs. This drug “recycling” offers the potential of significant savings in the time and cost of drug development. Many drugs licensed for other indications...
ObjectiveMany different gene families are currently being investigated for their potential role in epilepsy and in the response to antiepileptic drugs. A common research challenge is identifying the members of a gene family that are most significantly dysregulated within the human epileptic focus, before taking them forward for resource‐intensive functional studies. Published data about transcriptomic...
A multigenic classifier based on five single nucleotide polymorphisms (SNPs) was previously reported to predict treatment response in an Australian newly-diagnosed epilepsy cohort using a k-nearest neighbour (kNN) algorithm. We assessed the validity of this classifier in predicting response to initial antiepileptic drug (AED) treatment in two UK cohorts of newly-diagnosed epilepsy and investigated...
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