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Catto, F.

Publications and source records attributed to Catto, F..

2 recordsLinked to original sources

Quantitative 3D histochemistry reveals region-specific amyloid-β reduction by the antidiabetic drug netoglitazone

A hallmark of Alzheimers disease (AD) is the extracellular aggregation of toxic amyloid-beta (A{beta}) peptides in form of plaques. Here, we identify netoglitazone, an antidiabetic compound previously tested in humans, as an A{beta} aggregation antagonist. Netoglitazone improved cognition and reduced microglia activity in a mouse model of AD. Using quantitative whole-brain three-dimensional histology (Q3D), we precisely identified brain regions where netoglitazone reduced the number and size of A{beta} plaques. We demonstrate the utility of Q3D in preclinical drug evaluation for AD by providing a high-resolution brain-wide view of drug efficacy. Applying Q3D has the potential to improve pre-clinical drug evaluation by providing information that can help identify mechanisms leading to brain region-specific drug efficacy. Significance statementAlzheimers disease (AD) is the most prevalent neurodegenerative disease. Its primary symptom is progressive cognitive decline, which impairs executive brain functions and deprives patients of their autonomy in life. Experimental and clinical evidence points to the critical pathophysiological role of the amyloid-beta (A{beta}) peptide. Despite some limited successes in AD immunotherapy targeting A{beta}, AD is still incurable. Here, we use an innovative pipeline for accurate whole-brain measurements of A{beta} load to test the efficacy of the antidiabetic compound, netoglitazone. We found that netoglitazone decreases A{beta} burden in certain brain areas but not in others. Region-specific assessment of anti-A{beta} efficacy may be useful in the development of effective drugs against Alzheimers disease.

neuroscience↗

Quantitative 3D microscopy reveals a genetic network predicting the local activity of anti-Aβ compounds

Many efforts targeting amyloid-{beta} (A{beta}) plaques for the treatment of Alzheimers Disease thus far have resulted in failures during clinical trials. Regional and temporal heterogeneity of efficacy and dependence on plaque maturity may have contributed to these disappointing outcomes. In this study, we mapped the regional and temporal specificity of various anti-A{beta} treatments through high-resolution light-sheet imaging of electrophoretically-cleared brains. We assessed the effect on amyloid plaque formation and growth in Thy1-APP/PS1 mice subjected to {beta}-secretase inhibitors, polythiophenes, or anti-A{beta} antibodies. Each treatment showed unique spatiotemporal A{beta} clearance, with polythiophenes emerging as a potent anti-A{beta} compound. Furthermore, aligning with a spatial-transcriptomic atlas revealed transcripts that correlate with the efficacy of each A{beta} therapy. As observed in this study, there is a striking dependence of specific treatments on the location and maturity of A{beta} plaques. This may also contribute to the clinical trial failures of A{beta}-therapies, suggesting that combinatorial regimens may be significantly more effective in clearing amyloid deposition.

neuroscience↗