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Special Focus on Neuroscience and Neurology

Looking at recent cutting-edge research in potential therapeutics for neurological conditions, plus additional news on autism breakthroughs, addiction treatment and more
Written byJeffrey Bouley
| 14 min read

At the forefront of neurology

A quick look at some recent cutting-edge work in the neuroscience arena

If next month’s Special Report on Neuroscience is the gourmet meal with a particular culinary focus, consider this month’s special focus section the sampler platter of various world cuisines. And first on that menu, we wanted to cover some slightly-off-the-beaten-path topics that recently made the news rounds, beginning with what could be considered irony or synergy depending on your point of view: Artificial intelligence being put to work on human neurological concerns.

Specifically, BullFrog AI Inc., which focuses on artificial intelligence and clinical data analytics services, and the Lieber Institute for Brain Development, an independent, not-for-profit medical research institute working to accelerate efforts to find new cures for developmental brain disorders, recently announced a joint collaboration to apply BullFrog AI’s proprietary artificial intelligence platform to analyze antipsychotic drug responses.

Choosing and dosing antipsychotic drugs represents one of the most challenging areas for clinicians and patients alike, the partners note, with patients experiencing wildly differing responses to the different drugs on the market, particularly when it comes to the side effects: “The selection of the best drug for the particular patient then becomes a matter of educated guesswork, potentially causing distress and even harm to patients and those around them.”

To help turn the tide on that, BullFrog AI will utilize its proprietary artificial intelligence platform to analyze large multifactorial clinical data sets from patients who received antipsychotic medication with an eye toward making it possible to better predict which patients respond best to which medications.

“We are excited to partner with BullFrog AI on this challenging clinical problem,” said Dr. Kristin Bigos, an investigator at the Lieber Institute for Brain Development. “Until now there has been no effective alternative to the trial-and-error approach for matching patients to the best antipsychotic. Being able to understand and predict a priori which drugs will work best for which patients would be of tremendous benefit to both patients and the physicians that serve them.”

The bfLEAP analytics engine is purpose-built for analyzing extremely large and complex data sets, and it reportedly has demonstrated 99.9-percent accuracy in predicting the right targets across multiple data sets. The key to its success is the artificial learning, which requires no domain expertise, BullFrog AI maintains—instead, it uses unsupervised machine learning coupled with the world’s largest collection of analytical models, all operating in parallel.

And it’s not just clinical treatment with approved drugs where this effort could help, but also potentially in clinical trials.

“bfLEAP represents a true leap forward in terms of our ability to understand what is going on in a complex clinical setting,” said Vin Singh, CEO of BullFrog AI. “For the first time, we are able to analyze massive, multifactorial clinical datasets and determine the root cause of the observed clinical outcomes. Using our platform, we can examine clinical trial data and identify relationships between patient-specific factors and clinical response, which may aid in predicting clinical trial outcomes in the future. The potential impact of this type of information for the pharmaceutical industry is enormous, both in terms of the reduced cost and increased revenue from failed drugs as well as the positive impact on patients.”

New insight on potential neurological cell therapies

New research from Sanford Burnham Prebys Medical Discovery Institute (SBP) is reportedly among the first to describe how an mRNA modification impacts the life of neural stem cells (NSCs). The study, titled “N6-methyladenosine RNA modification regulates embryonic neural stem cell self-renewal through histone modifications” and published in Nature Neuroscience, reveals a novel gene regulatory system that may advance stem cell therapies and gene-targeting treatments for neurological diseases such as Alzheimer’s disease, Parkinson’s disease and mental health disorders that affect cognitive abilities.

“Being able to maintain viable stem cells in the brain could lead to regenerative therapies to treat injury and disease,” says Dr. Jing Crystal Zhao, an assistant professor at SBP. “Our study reveals a previously unknown but essential function of an mRNA modification in regulating NSC self-renewal. As NSCs are increasingly explored as a cell replacement therapy for neurological disorders, understanding the basic biology of NSCs—including how they self-renew—is essential to harnessing control of their in-vivo functions in the brain.”

NSCs are progenitor cells present not only during embryonic development but also in the adult brain. NSCs undergo a self-renewal process to maintain their population, as well as differentiate to give rise to all neural cell types: neurons, astrocytes and oligodedrocytes.

The SBP study focused on the self-renewal aspect of NSCs. Using knockout mice for the enzyme that catalyzes the m6A modification, Zhao’s team found that m6A modification maintains NSC pool by promoting proliferation and preventing premature differentiation of NSCs. Importantly, the researchers found that m6A modification regulates this by regulating histone modifications.

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