Professor Matthew Disney of the Department of Chemistry on the Florida campus of The Scripps Research Institute (TSRI), together with scientists from Mayo Clinic’s Florida campus and Johns Hopkins School of Medicine, has been awarded $7.2 million from the National Institute of Neurological Disorders and Stroke of The National Institutes of Health to create new RNA-based treatments for the most common form of amyotrophic lateral sclerosis (ALS), as well as a type of frontotemporal dementia (FTD).
Disney is the principal investigator on the five-year project, along with Leonard Petrucelli, chair of neuroscience at Mayo Clinic’s Florida campus, and Jeffrey D. Rothstein of Johns Hopkins School of Medicine.
While the scientists will initially focus on small-molecule drug candidates for ALS and FTD, the grant establishes the RNA Therapeutics Center at TSRI for the continued study of RNA-based therapies for a number of untreatable diseases.
“Our work has changed the view of what is considered a druggable target, and this grant is a clear recognition of that accomplishment," Disney said. "The funding will allow us to more rigorously assess if a small molecule drug can be developed to target the RNA that causes the most common inherited form of ALS and FTD. The question we can now try and answer is if these studies can help to advance the science to bring a drug to ALS patients.”
ALS is usually fatal two to five years after diagnosis. There is no effective treatment for FTD, a neurodegenerative disease that destroys neurons in the frontal lobes of the brain. This study will focus on a lead compound that interferes with the synthesis of an abnormal protein—known as a repeat RNA expansion—that plays a key role in the development of both diseases.
Disney has been a pioneer in the development of potential treatments for a number of diseases caused by defects in RNA, which affect millions worldwide. His success in identifying drug-like small molecules that bind to RNA is the result of his lab’s broad, bottom-up, computational approach known as Inforna, which can deep mine information against such genome sequences and cellular RNAs.
The number of the grant is 1P01NS099114-01.