| Literature DB >> 29473731 |
Rosa Maria Vitale1, Vincenzo Rispoli2, Doriana Desiderio3, Roberta Sgammato3, Stefano Thellung4, Claudio Canale5, Massimo Vassalli6, Marianna Carbone1, Maria Letizia Ciavatta1, Ernesto Mollo1, Vera Felicità1,2, Rosaria Arcone3,7, Margherita Gavagnin Capoggiani1, Mariorosario Masullo3,7, Tullio Florio4, Pietro Amodeo1.
Abstract
Multitargeting or polypharmacological approaches, looking for single chemical entities retaining the ability to bind two or more molecular targets, are a potentially powerful strategy to fight complex, multifactorial pathologies. Unfortunately, the search for multiligand agents is challenging because only a small subset of molecules contained in molecular databases are bioactive and even fewer are active on a preselected set of multiple targets. However, collections of natural compounds feature a significantly higher fraction of bioactive molecules than synthetic ones. In this view, we searched our library of 1175 natural compounds from marine sources for molecules including a 2-aminoimidazole+aromatic group motif, found in known compounds active on single relevant targets for Alzheimer's disease (AD). This identified two molecules, a pseudozoanthoxanthin (1) and a bromo-pyrrole alkaloid (2), which were predicted by a computational approach to possess interesting multitarget profiles on AD target proteins. Biochemical assays experimentally confirmed their biological activities. The two compounds inhibit acetylcholinesterase, butyrylcholinesterase, and β-secretase enzymes in high- to sub-micromolar range. They are also able to prevent and revert β-amyloid (Aβ) aggregation of both Aβ1-40 and Aβ1-42 peptides, with 1 being more active than 2. Preliminary in vivo studies suggest that compound 1 is able to restore cholinergic cortico-hippocampal functional connectivity.Entities:
Keywords: Alzheimer’s disease; Drug discovery; molecular modeling; multiligand; natural product
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Year: 2018 PMID: 29473731 DOI: 10.1021/acschemneuro.7b00416
Source DB: PubMed Journal: ACS Chem Neurosci ISSN: 1948-7193 Impact factor: 4.418