Scientists have discovered a gene network in the brain associated with epilepsy.
The team, led by scientists at Imperial College London, believe the discovery may lead to more treatments for the condition.
The study, published in the journal Genome Biology, has revealed an 'epileptic network' of 320 genes, called M30, that is associated with the condition. The genes in the network are thought to be involved in how brain cells communicate with each other.
The results suggest that when this network malfunctions, it triggers epilepsy. Finding medications that restore this network to normal could provide desperately needed new treatments, explained Professor Michael Johnson, senior author of the research from the Department of Medicine at Imperial.
"Epilepsy is one of the most common serious neurological diseases worldwide. Yet despite almost 30 different drugs licensed for the condition, a third of people with epilepsy continue to suffer from uncontrolled epileptic seizures - despite taking medication.
"In fact, very little progress in finding more effective drugs for epilepsy has been made in the past 100 years."
He added that many drug companies have stopped their research into finding new medicines for epilepsy.
"But the discovery of this network of genes linked to epilepsy opens avenues for finding new treatments. This uses an approach that is entirely different to the past 100 years of anti-epilepsy drug development."
Interestingly, the network seems to malfunction in epilepsy caused by genetic causes, as well as epilepsy triggered by brain injury such as following stroke or infection.
Epilepsy affects around half a million people in the UK, and over 50 million worldwide. The condition triggers seizures, which can cause a range of symptoms - from an odd sensation or a trance-like state, to severe convulsions and loss of consciousness. Seizures are thought to be caused by brain cells sending faulty signals to each other.
In most people with epilepsy, the disease is thought to be caused by their genes. However, one third of cases are triggered by damage to the brain from causes such as head injury, stroke, tumours or infection.
In the new research, which was conducted in collaboration with Duke-NUS Medical School in Singapore, scientists used computational techniques to scan thousands of genes and mutations associated with epilepsy. They also looked at data from healthy human brains, to identify networks of genes that seem to work together, and were associated with the disease.
The scientists also used data from mice to confirm that malfunctions in this network triggered seizures.
The team then computationally analysed 1,300 known drugs to predict which ones could help restore the gene network to normal.
One of the drugs found was a known epilepsy treatment, called valproic acid.
The team's analyses also pointed to many other drugs not previously considered as conventional anti-epilepsy medications.
One of these was withaferin A, a compound derived from a plant known as Indian ginseng that has been used in Ayurvedic medicine for centuries to treat a range of diseases, including epilepsy.
Professor Johnson explained that finding other compounds that restore the activity of the network could lead to potential new treatments.
He added that the method used in this study, called 'network biology' - where computer systems are used to identify gene networks that work together to underpin disease - may also help find treatments for other conditions.
"Until recently we have been looking for individual genes associated with diseases, which drug companies then target with treatments. However, we are increasingly aware that genes don't work in isolation. Identifying groups of genes that work together, and then targeting these networks of genes, may lead to more effective treatments. Our proof of concept study suggests this network biology approach could help us identify new medications for epilepsy, and the methods can also be applied to other diseases."
The research was funded by the European Union's Seventh Framework Programme, and the National Institute for Health Research Imperial Biomedical Research Centre.