Focus Feature on Neuroscience: Preclinical progress on neurodegeneration

Making the rounds of brain-related therapeutic and diagnostic R&D, with a focus on neurodegenerative disease and dementia
| 15 min read
Written byJeffrey Bouley

Focus Feature: Neuroscience

Preclinical progress on neurodegeneration

A brief tour of recent R&D, from AI design to animal models and Parkinson’s disease to Friedreich’s ataxia

In drug development, the clinic is where, as the saying goes, “the rubber meets the road.” Trials are when pharma and biotech companies finally determine whether their promising candidates do any good in actual people. Often, the results fall short—or fall flat entirely—hence the high cost involved in discovery and development.

But as nebulous as human safety and efficacy might be the early stages of development, the preclinical arena is where the ideas are born, and even when those early-stage efforts don’t pan out over the long run, they can often set the stage for work on other compounds down the road.

So, with neuroscience on the mind for this Focus Feature and neurodegeneration one of the biggest areas of concern in neurological drug discovery and development, let’s see what some of the recent progress is for Parkinson’s disease, Friedreich’s ataxia, and Huntington’s disease—after all, we can’t let Alzheimer’s disease dominate all of the spotlight.

Using artificial intelligence in drug design

Canadian drug discovery and research commercialization center IRICoR, Université de Montréal (UdeM), the Institute for Research in Immunology and Cancer (IRIC) of UdeM, and AI-enabled drug design company Valence Discovery recently announced a collaboration focused on the discovery of novel drug candidates for the treatment of levodopa-induced dyskinesia in Parkinson’s disease (PD) patients.

Around five million people worldwide—most over the age of 60—suffer from this progressive neurodegenerative disease, and almost all of them in treatment for the condition receive levodopa (L-dopa), a dopamine precursor that can enable patients to reinitiate normal movement.

Although this line of therapy does offer relief from the major motor symptoms of PD for most patient, there is a serious side effect. In a majority of patients, prolonged L-dopa use leads to abnormal involuntary movements called levodopa-induced dyskinesia, which can be highly debilitating.

Levodopa-induced dyskinesia occurs with an average latency of around six years and affects 95 percent of all patients within 15 years of starting chronic L-dopa treatment. Current treatments for this condition are not universally effective, have only transient efficacy, and are associated with side effects including fainting, dizziness, and hallucinations.

That’s where the Canadian collaborators we mentioned a few paragraphs ago come in.

The researchers involved in this team effort are building on research from the team of Dr. Daniel Levesque, a professor and associate dean for research and graduate studies of the Faculty of Pharmacy at UdeM.

“We are extremely pleased to have Valence’s support on this important drug discovery program, and are confident that our joint efforts will significantly accelerate our path to identifying novel compounds that can treat levodopa-induced dyskinesia,” Levesque said.

“We’re thrilled to be working with Dr. Levesque and the world-class team at IRIC, who have an extensive track record of collaborating with leading industry partners including BMS, Ipsen, and Merck,” added Daniel Cohen, CEO of Valence Discovery. “This collaboration is an important example of how we’re bringing modern machine learning methods, custom-built for drug discovery, to innovative R&D organizations of all shapes and sizes.”

The work will focus on the design of highly selective modulators of the Nur77/RXR nuclear receptor complex, which the collaborators say is a promising new pharmacological target for movement disorders. Scientists in the Drug Discovery Unit at IRIC are looking to rapidly advance selected hits through lead optimization, leveraging Valence’s machine learning platform for few-shot learning, generative chemistry, and multiparameter optimization—all of which are meant to address critical challenges in lead optimization.

“This collaboration is a testament to IRICoR’s commitment to investing in high-potential projects for indications with high unmet medical need, while staying at the cutting edge of drug discovery by combining an impressive array of homegrown technologies at the intersection of machine learning, chemistry, and biology,” said Dr. Steven Klein, vice president of business development at IRICoR. “We are extremely excited about what we’ve seen from the team at Valence and look forward to exploring future partnerships across IRICoR’s broader portfolio of discovery programs.”

A novel target in Parkinson’s

Boston-based biopharmaceutical company Yumanity Therapeutics has reported that its lead program, YTX-7739, demonstrated pharmacological, physiological, and behavioral preclinical proof of concept in a mouse model of PD. This work was conducted in collaboration with the laboratories of Drs. Silke Nuber and Dennis Selkoe at Brigham & Women’s Hospital.

YTX-7739 is a proprietary small-molecule investigational therapy designed to penetrate the blood-brain barrier and inhibit the activity of a novel target, stearoyl-CoA desaturase (SCD). According to Yumanity Therapeutics, by inhibiting SCD, YTX-7739 modulates an upstream process in the alpha-synuclein pathological cascade and has been shown to rescue or prevent toxicity in preclinical models.

The enzyme SCD catalyzes fatty acid desaturation, and it also plays a significant role in modulating neurotoxicity related to the alpha-synuclein protein, which is a driver of PD and other neurodegenerative disorders. SCD expression is regulated by the transcription factor SREBF1, which is a risk factor for Parkinson’s. Preclinical work has shown that SCD inhibition may normalize how pathological alpha-synuclein interacts with membranes, thereby improving neuronal function, reducing toxicity, and improving neuronal survival.

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