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一种高通量筛选方法,用于重新利用 FDA 批准的药物,以实现对金黄色葡萄球菌小菌落变异体的杀菌应用。

A High-Throughput Screening Approach To Repurpose FDA-Approved Drugs for Bactericidal Applications against Staphylococcus aureus Small-Colony Variants.

机构信息

Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA

Center for Musculoskeletal Research, University of Rochester Medical Center, Rochester, New York, USA.

出版信息

mSphere. 2018 Oct 31;3(5):e00422-18. doi: 10.1128/mSphere.00422-18.

Abstract

Drug repurposing offers an expedited and economical route to develop new clinical therapeutics in comparison to traditional drug development. Growth-based high-throughput screening is concomitant with drug repurposing and enables rapid identification of new therapeutic uses for investigated drugs; however, this traditional method is not compatible with microorganisms with abnormal growth patterns such as small-colony variants (SCV). SCV subpopulations are auxotrophic for key compounds in biosynthetic pathways, which result in low growth rate. SCV formation is also associated with reduced antibiotic susceptibility, and the SCV's ability to revert to the normal cell growth state is thought to contribute to recurrence of infections. Thus, there is a critical need to identify antimicrobial agents that are potent against SCV in order to effectively treat chronic infections. Accordingly, here we describe adapting an adenylate kinase (AK)-based cell death reporter assay to identify members of a Food and Drug Administration (FDA)-approved drug library that display bactericidal activity against SCV. Four library members, daunorubicin, ketoconazole, rifapentine, and sitafloxacin, exhibited potent SCV bactericidal activity against a stable SCV. Further investigation showed that sitafloxacin was potent against methicillin-susceptible and -resistant , as well as within an established biofilm. Taken together, these results demonstrate the ability to use the AK assay to screen small-molecule libraries for SCV bactericidal agents and highlight the therapeutic potential of sitafloxacin to be repurposed to treat chronic infections associated with SCV and/or biofilm growth states. Conventional antibiotics fail to successfully treat chronic osteomyelitis, endocarditis, and device-related and airway infections. These recurring infections are associated with the emergence of SCV, which are recalcitrant to conventional antibiotics. Studies have investigated antibiotic therapies to treat SCV-related infections but have had little success, emphasizing the need to identify novel antimicrobial drugs. However, drug discovery is a costly and time-consuming process. An alternative strategy is drug repurposing, which could identify FDA-approved and well-characterized drugs that could have off-label utility in treating SCV. In this study, we adapted a high-throughput AK-based assay to identify 4 FDA-approved drugs, daunorubicin, ketoconazole, rifapentine, and sitafloxacin, which display antimicrobial activity against SCV, suggesting an avenue for drug repurposing in order to effectively treat SCV-related infections. Additionally, this screening paradigm can easily be adapted for other drug/chemical libraries to identify compounds bactericidal against SCV.

摘要

药物重定位相对于传统药物开发而言,提供了一条加速和经济的途径来开发新的临床治疗方法。基于生长的高通量筛选与药物重定位同时进行,能够快速确定研究药物的新治疗用途;然而,这种传统方法与生长模式异常的微生物(如小菌落变种(SCV))不兼容。SCV 亚群在生物合成途径中的关键化合物上是营养缺陷型的,这导致生长速度缓慢。SCV 的形成也与抗生素敏感性降低有关,并且 SCV 恢复正常细胞生长状态的能力被认为有助于感染的复发。因此,迫切需要鉴定对 SCV 具有强大抗菌活性的抗菌剂,以便有效治疗慢性感染。因此,在这里,我们描述了一种适应的腺嘌呤激酶(AK)基于细胞死亡报告基因测定法,以鉴定食品和药物管理局(FDA)批准的药物库中对 SCV 具有杀菌活性的成员。四种库成员,柔红霉素、酮康唑、利福平和西他沙星,对稳定的 SCV 表现出强大的 SCV 杀菌活性。进一步的研究表明,西他沙星对耐甲氧西林敏感和耐药的以及已建立的生物膜中都有强大的作用。总之,这些结果表明能够使用 AK 测定法筛选小分子文库中的 SCV 杀菌剂,并强调了将西他沙星重新用于治疗与 SCV 和/或生物膜生长状态相关的慢性感染的治疗潜力。传统抗生素无法成功治疗慢性骨髓炎、心内膜炎以及与器械相关和气道感染。这些反复发生的感染与 SCV 的出现有关,SCV 对传统抗生素有抵抗力。已经研究了抗生素治疗来治疗与 SCV 相关的感染,但收效甚微,这强调了需要确定新的抗菌药物。然而,药物发现是一个昂贵且耗时的过程。替代策略是药物重定位,这可以确定具有非标签用途的 FDA 批准和特征良好的药物,以治疗 SCV。在这项研究中,我们适应了一种高通量 AK 测定法来鉴定 4 种 FDA 批准的药物,柔红霉素、酮康唑、利福平和西他沙星,它们对 SCV 显示出抗菌活性,表明可以通过药物重定位来有效治疗与 SCV 相关的感染。此外,这种筛选范式可以很容易地适应其他药物/化学库,以鉴定对 SCV 具有杀菌作用的化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d0/6211227/1cf98cb9ed78/sph0061826830001.jpg

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