Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Biotechnol J. 2021 Sep;16(9):e2100138. doi: 10.1002/biot.202100138. Epub 2021 Jun 22.
The aggregation of amyloidogenic proteins is linked to several amyloidoses, including neurodegenerative disorders, such as Alzheimer's or Parkinson's disease. Currently there are very few effective cures or treatments available, despite countless screenings and clinical trials. One of the most challenging aspects of potential anti-amyloid drug discovery is finding which molecules are the actual inhibitors out of mixtures, which may contain hundreds of distinct compounds. Considering that anti-amyloid compounds would interact with the aggregate, this affinity could be used as a means of separating such compounds from ineffective ones. In this work, we attempt to scavenge potential aggregation-inhibiting molecules out of four, different complexity mixtures, ranging from oxidized gallic acid to tea extract, using lysozyme amyloid fibrils. We show that these compounds bind to aggregates with high affinity and can be later separated from them by different methods.
淀粉样蛋白的聚集与几种淀粉样变性有关,包括神经退行性疾病,如阿尔茨海默病或帕金森病。尽管进行了无数次筛选和临床试验,但目前几乎没有有效的治疗方法。在潜在的抗淀粉样蛋白药物发现中,最具挑战性的方面之一是找出混合物中哪些分子是实际的抑制剂,而混合物可能含有数百种不同的化合物。考虑到抗淀粉样蛋白化合物将与聚集物相互作用,这种亲和力可以用作将这些化合物与无效化合物分离的手段。在这项工作中,我们试图使用溶菌酶淀粉样纤维从四种不同复杂程度的混合物(从氧化没食子酸到茶提取物)中筛选出潜在的聚集抑制分子。我们表明,这些化合物与聚集物具有高亲和力,并可以通过不同的方法将它们彼此分离。