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In Vitro Drug Discovery Platform Developed for Alzheimer's Studies

Researchers at Harvard say they have converted skin cells from patients with early-onset Alzheimer’s into the types of neurons that are affected by the disease. They note that this makes it possible for the first time to study this leading form of dementia in

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Researchers at Harvard say they have converted skin cells from patients with early-onset Alzheimer’s into the types of neurons that are affected by the disease. They note that this makes it possible for the first time to study this leading form of dementia in living human cells and that the door is now opened to the potential development of novel therapies more quickly.

The study (“The familial Alzheimer’s disease APPV717I mutation alters APP processing and Tau expression in iPSC-derived neurons”), led by Tracy Young-Pearse, Ph.D., and published in Human Molecular Genetics, confirmed what had long been observed in mouse models—that the mutations associated with early-onset Alzheimer’s disease are directly related to protein cleavage errors that cause a rise in amyloid-beta protein (Aβ) 42, which all people produce but somehow clump together to form plaques in Alzheimer’s patients.

“We see this mild increase in Aβ 42 in cells from patients with Alzheimer’s disease, which seems to be enough to trigger disease processes,” said Dr. Young-Pearse, a Harvard Stem Cell Institute affiliated faculty member at Brigham and Women’s Hospital. “We also see increases of a smaller species of amyloid-beta called Aβ 38, which was unexpected as it should not be very aggregation prone. We don’t fully understand what it means, but it may combine with other forms of amyloid-beta to stimulate plaque formation.”

The patient-derived cells also possessed the second hallmark of Alzheimer’s disease: high amounts of the tau protein, or more accurately tau that has been distorted so that the proteins tangle together. The relationship between amyloid-beta and tau is an ongoing chicken-and-egg debate in the Alzheimer’s research field, with some researchers associating one or the other, or both, with the cause of the disease.

But with the human cells, Dr. Young-Pearse and her team, including postdoctoral fellow and study first author Christina Muratore, Ph.D., could demonstrate that preventing amyloid-beta imbalances reduced levels of distorted tau.

“We used two different antibodies—one of which has been in clinical trials for Alzheimer’s—to neutralize the effects of amyloid-beta and showed that you’re able to rescue changes in tau,” explained Dr. Young-Pearse. “Not only is it important experimentally to show that tau elevation is due in some part to altered amyloid-beta accumulation, but it also shows that this is an excellent system for testing different therapeutic options.”

“We show that treatment with Aβ-specific antibodies early in culture reverses the phenotype of increased total Tau levels, implicating altered Aβ production in fAD neurons in this phenotype,” wrote the investigators. “These studies use human neurons to reveal previously unrecognized effects of the most common fAD APP mutation and provide a model system for testing therapeutic strategies in the cell types most relevant to disease processes.”

Clinical trials to treat neurodegenerative diseases like Alzheimer’s have a historically high failure rate, partially because potential drugs are derived from research in nonhuman models. Dr. Young-Pearse and colleagues believe that their strategy of using induced pluripotent stem cells to reprogram patient skin cells into neurons of interest could be used to predict which therapeutics will best help early-onset Alzheimer’s patients.

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Related questions

01How stable is the antibody?

A crucial question often addressed during preclinical development focuses on the in vivo stability of therapeutic antibodies. Increasing the half-life of a therapeutic antibody has several benefits ranging from higher treatment efficacy to increased advantages for the patients who will have a fewer number of therapy sessions and a reduced cost. Given these compelling benefits, following the identification of therapeutic antibodies with the desired specificity, developers usually subject them to a refinement step to increase their stability. This process is often hindered by the lack of reliable experimental tools to predict the half-life of antibodies in patients. The major hurdle of using mouse models to predict antibody stability in the serum lies in the way immunoglobulin proteins are processed by the organism. In mammals, most proteins circulating in the serum undergo constant uptake by endothelial cells and are routed through the endosomes to the lysosomal compartment for degradation. In the endosomes, immunoglobulin G (IgG) proteins are recognized and bound by a transmembrane protein, called the neonatal Fc receptor (FcRn), which mediates their recycling to the plasma membrane and subsequent release back into the serum. As a result, the half-life of IgGs are significantly extended by this mechanism. Since most therapeutic antibodies belong to the IgG class, this recycling system is very relevant for their relative stability in the body. Remarkably, the relative affinity between IgGs and FcRn is extremely disparate between different species, with the mouse receptor showing a much higher affinity than its human counterpart.

Source: www.genengnews.com ↗
02Undruggable or unscreenable?

Another obstacle to discovering new PPI inhibitors is the lack of libraries designed to hunt for them, points out Philippe Roche, PhD, senior scientist at the Integrative Structural and Chemical Biology team at the Cancer Research Center of Marseilles, France. “If you screen PPIs using libraries that were designed for kinases or GPCRs, that’s why you don’t get a lot of good results,” he says. To that end, his group began assembling a library focused on orthosteric inhibitors of PPIs. The result was 2P2Idb, a hand-curated, structural database cataloguing orthosteric inhibitors of PPIs for which the interface had been 3D characterized. From analyzing these known PPI inhibitors, and what structures they had in common, Roche and his colleagues developed a model to predict whether compounds would likely inhibit PPIs. Using this method, 2P2Idb creates an enriched screening library that dramatically increases the hit rate compared to standard libraries. Having proven their success with a small library of 1600 compounds, they are in the process of expanding the library to 10,000 compounds. Once that’s published, “the idea is to make this library available to labs around the world,” Roche says. “We will provide the library free of charge for people to be able to screen PPI targets.”

Source: www.genengnews.com ↗
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Peptide Therapy Guide Editorial Team

Editorial team for Peptide Therapy Guide.

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