Department of Microbial Pathogenesis and Immunology, Texas A & M Health Science Center, College Station, TX, 77843, United States.
Department of Chemistry, Department of Chemical Engineering, Department of Materials Science and Engineering, and Laboratory for Synthetic-Biologic Interactions, Texas A & M University, College Station, TX, 77842, United States.
Sci Rep. 2018 Apr 23;8(1):6376. doi: 10.1038/s41598-018-24200-w.
To address the escalating problem of antimicrobial resistance and the dwindling antimicrobial pipeline, we have developed a library of novel aerosolizable silver-based antimicrobials, particularly for the treatment of pulmonary infections. To rapidly screen this library and identify promising candidates, we have devised a novel in vitro metric, named the "drug efficacy metric" (DEM), which integrates both the antibacterial activity and the on-target, host cell cytotoxicity. DEMs calculated using an on-target human bronchial epithelial cell-line correlates well (R > 0.99) with in vivo efficacy, as measured by median survival hours in a Pseudomonas aeruginosa pneumonia mouse model following aerosolized antimicrobial treatment. In contrast, DEMs derived using off-target primary human dermal fibroblasts correlate poorly (R = 0.0595), which confirms our hypothesis. SCC1 and SCC22 have been identified as promising drug candidates through these studies, and SCC22 demonstrates a dose-dependent survival advantage compared to sham treatment. Finally, silver-bearing biodegradable nanoparticles were predicted to exhibit excellent in vivo efficacy based on its in vitro DEM value, which was confirmed in our mouse pneumonia model. Thus, the DEM successfully predicted the efficacy of various silver-based antimicrobials, and may serve as an excellent tool for the rapid screening of potential antimicrobial candidates without the need for extensive animal experimentation.
为了解决抗菌药物耐药性不断升级和抗菌药物研发管线日益枯竭的问题,我们开发了一系列新型可气溶胶化的银基抗菌药物库,特别是用于治疗肺部感染。为了快速筛选这个文库并确定有前途的候选药物,我们设计了一种新的体外指标,称为“药物疗效指标”(DEM),它综合了抗菌活性和靶向宿主细胞毒性。使用靶向人支气管上皮细胞系计算的 DEM 值与体内疗效高度相关(R>0.99),这是通过在铜绿假单胞菌肺炎小鼠模型中气溶胶化抗菌治疗后中位存活时间来衡量的。相比之下,使用非靶向原代人真皮成纤维细胞得出的 DEM 值相关性较差(R=0.0595),这证实了我们的假设。通过这些研究,SCC1 和 SCC22 被确定为有前途的候选药物,并且 SCC22 与假处理相比表现出剂量依赖性的生存优势。最后,根据其体外 DEM 值,含银可生物降解纳米颗粒被预测具有出色的体内疗效,这在我们的小鼠肺炎模型中得到了证实。因此,DEM 成功预测了各种银基抗菌药物的疗效,并且可以作为一种快速筛选潜在抗菌候选药物的优秀工具,而无需进行广泛的动物实验。