Ozsvari Bela, Fiorillo Marco, Bonuccelli Gloria, Cappello Anna Rita, Frattaruolo Luca, Sotgia Federica, Trowbridge Rachel, Foster Richard, Lisanti Michael P
Translational Medicine, School of Environment & Life Sciences, University of Salford, Greater Manchester, UK.
The Paterson Institute, University of Manchester, Withington, UK.
Oncotarget. 2017 Jul 7;8(40):67457-67472. doi: 10.18632/oncotarget.19084. eCollection 2017 Sep 15.
The "endo-symbiotic theory of mitochondrial evolution" states that mitochondrial organelles evolved from engulfed aerobic bacteria, after millions of years of symbiosis and adaptation. Here, we have exploited this premise to design new antibiotics and novel anti-cancer therapies, using a convergent approach. First, virtual high-throughput screening (vHTS) and computational chemistry were used to identify novel compounds binding to the 3D structure of the mammalian mitochondrial ribosome. The resulting library of ∼880 compounds was then subjected to phenotypic drug screening on human cancer cells, to identify which compounds functionally induce ATP-depletion, which is characteristic of mitochondrial inhibition. Notably, the top ten "hit" compounds define four new classes of mitochondrial inhibitors. Next, we further validated that these novel mitochondrial inhibitors metabolically target mitochondrial respiration in cancer cells and effectively inhibit the propagation of cancer stem-like cells . Finally, we show that these mitochondrial inhibitors possess broad-spectrum antibiotic activity, preventing the growth of both gram-positive and gram-negative bacteria, as well as - a pathogenic yeast. Remarkably, these novel antibiotics also were effective against methicillin-resistant Staphylococcus aureus (MRSA). Thus, this simple, yet systematic, approach to the discovery of mitochondrial ribosome inhibitors could provide a plethora of anti-microbials and anti-cancer therapies, to target drug-resistance that is characteristic of both i) tumor recurrence and ii) infectious disease. In summary, we have successfully used vHTS combined with phenotypic drug screening of human cancer cells to identify several new classes of broad-spectrum antibiotics that target both bacteria and pathogenic yeast. We propose the new term "mitoriboscins" to describe these novel mitochondrial-related antibiotics. Thus far, we have identified four different classes of mitoriboscins, such as: . However, we broadly define mitoriboscins as any small molecule(s) or peptide(s) that bind to the mitoribosome (large or small subunits) and, as a consequence, inhibit mitochondrial function, i.e., mitoribosome inhibitors.
“线粒体进化的内共生理论”指出,线粒体细胞器是在经历数百万年的共生与适应后,从被吞噬的需氧细菌进化而来。在此,我们利用这一前提,采用一种聚合方法设计新型抗生素和抗癌疗法。首先,通过虚拟高通量筛选(vHTS)和计算化学来识别与哺乳动物线粒体核糖体三维结构结合的新型化合物。然后,对所得的约880种化合物库进行针对人类癌细胞的表型药物筛选,以确定哪些化合物在功能上诱导ATP耗竭,这是线粒体抑制的特征。值得注意的是,排名前十的“命中”化合物定义了四类新的线粒体抑制剂。接下来,我们进一步验证了这些新型线粒体抑制剂在代谢上靶向癌细胞中的线粒体呼吸,并有效抑制癌症干细胞样细胞的增殖。最后,我们表明这些线粒体抑制剂具有广谱抗生素活性,可阻止革兰氏阳性和革兰氏阴性细菌以及一种致病性酵母的生长。值得注意的是,这些新型抗生素对耐甲氧西林金黄色葡萄球菌(MRSA)也有效。因此,这种简单而系统的发现线粒体核糖体抑制剂的方法可以提供大量的抗微生物和抗癌疗法,以针对肿瘤复发和传染病所特有的耐药性。总之,我们成功地利用vHTS结合人类癌细胞的表型药物筛选,鉴定出了几类靶向细菌和致病性酵母的新型广谱抗生素。我们提出了新术语“线粒体核糖体素”来描述这些新型线粒体相关抗生素。到目前为止,我们已经鉴定出四类不同的线粒体核糖体素,例如: 。然而,我们广泛地将线粒体核糖体素定义为任何与线粒体核糖体(大亚基或小亚基)结合并因此抑制线粒体功能的小分子或肽,即线粒体核糖体抑制剂。