LONDON--(
BUSINESS WIRE
)--BenevolentAI (Euronext Amsterdam: BAI), a leader in the development of cutting-edge AI that accelerates biopharma discovery, announces the successful delivery of its pre-clinical candidate for the potential treatment of amyotrophic lateral sclerosis (ALS), BEN-34712.
BEN-34712 is an oral, potent and selective brain penetrant RARɑβ (retinoic acid receptor alpha beta) biased agonist and will now enter investigational new drug (IND)-enabling studies.
Impaired retinoic acid signalling has been shown to result in neuroinflammation, oxidative stress and mitochondrial dysfunction, all hallmarks of ALS. In preclinical studies conducted by the Company, BEN-34712 was neuroprotective in a patient-derived, disease-relevant
in vitro
motor neuron/iAstrocyte co-culture model, demonstrating significant efficacy in both sporadic and familial subtypes of ALS. In addition, BEN-34712 has demonstrated both central nervous system (CNS) target engagement and functional protective effects in the SOD1G93A mouse model of ALS after 50-day repeat dosing.
BenevolentAI collaborated with the Sheffield Institute for Translational Neuroscience (SITraN) at the University of Sheffield on this programme, utilising their patient-derived motor neuron/iAstrocyte co-culture systems and
in vivo
model expertise.
Anne Phelan, Chief Scientific Officer, BenevolentAI, said:
“There remains a significant and urgent need for new and alternative therapies for patients with ALS. We are pleased by the promising advancement of our drug candidate, BEN-34712, towards clinical development, backed by the compelling preclinical data generated by our collaborators at SITraN.”
Richard Mead, Senior Lecturer in Translational Neuroscience at SITraN, commented
: "ALS patients suffering from this devastating neurodegenerative disease are in dire need of effective therapy, with the current standard of care options focusing on symptom management or offering limited clinical benefit. We believe BEN-34712 represents an exciting development in our research for a potential new treatment, particularly as it shows effectiveness in both the SOD1G93A mouse model system as well as familial and C9orf72 related ALS patient-derived cell models."
About ALS
ALS is a progressive neurologic disorder characterised by the loss of cortical and spinal motor neurons, leading to the denervation of nerve endplates, axonal retraction and subsequent muscle atrophy. The average survival time following the initial diagnosis is around two-three years, and while there are drugs approved by the US FDA for ALS, they provide only modest benefits to patients, underwriting the urgent need for new and alternative therapies.
About BenevolentAI
BenevolentAI (AMS: BAI) is a leading developer of advanced artificial intelligence technologies that unlock the value of multimodal data, surface novel insights, and accelerate biomedical discovery. Through the combined capabilities of its AI platform, its scientific expertise, and wet-lab facilities, the Company is developing an in-house drug pipeline of high-value assets. The Company is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
About SITraN at the University of Sheffield
The Sheffield Institute for Translational Neuroscience (SITraN) is an essential development in the fight against motor neurone disease and other common neurodegenerative disorders, including Parkinson's and dementia, as well as stroke and multiple sclerosis. SITraN has the potential to bring new treatments and new hope to patients and carers in the UK and worldwide, by significantly accelerating the pace of therapeutic development using technologies such as experimental modelling of disease, gene therapy and stem cell biology, gene expression profiling and bioinformatics analysis and modelling of the biological processes. Since its opening by Queen Elizabeth II in 2010, SITraN has grown immensely and developed into a leading global facility which is at the forefront of research and expertise.
Non-regulatory
Forward-looking Statements
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