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利用变形虫宿主模型中的表型筛选,从高密度外周血淋巴细胞中鉴定具有潜在独特结构骨架的抗化合物和抗化合物。

Identification of Anti- and Anti- Compounds With Potential Distinctive Structural Scaffolds From an HD-PBL Using Phenotypic Screens in Amoebae Host Models.

作者信息

Hanna Nabil, Kicka Sébastien, Chiriano Gianpaolo, Harrison Christopher, Sakouhi Hajer Ouertatani, Trofimov Valentin, Kranjc Agata, Nitschke Jahn, Pagni Marco, Cosson Pierre, Hilbi Hubert, Scapozza Leonardo, Soldati Thierry

机构信息

Department of Biochemistry, Faculty of Sciences, University of Geneva, Geneva, Switzerland.

Pharmaceutical Biochemistry/Chemistry, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.

出版信息

Front Microbiol. 2020 Feb 21;11:266. doi: 10.3389/fmicb.2020.00266. eCollection 2020.

DOI:10.3389/fmicb.2020.00266
PMID:32153546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7047896/
Abstract

Tubercular and are the causative agents of potentially fatal respiratory diseases due to their intrinsic pathogenesis but also due to the emergence of antibiotic resistance that limits treatment options. The aim of our study was to explore the antimicrobial activity of a small ligand-based chemical library of 1255 structurally diverse compounds. These compounds were screened in a combination of three assays, two monitoring the intracellular growth of the pathogenic bacteria, and , and one assessing virulence of . We set up these assays using two amoeba strains, the genetically tractable social amoeba and the free-living amoeba . In summary, 64 (5.1%) compounds showed anti-infective/anti-virulence activity in at least one of the three assays. The intracellular assays hit rate varied between 1.7% ( = 22) for and 2.8% ( = 35) for with seven compounds in common for both pathogens. In parallel, 1.2% ( = 15) of the tested compounds were able to restore growth in the presence of spiked in a lawn of food bacteria. We also validated the generality of the hits identified in the - anti-infective screen using the - host-pathogen model. The characterization of anti-infective and antibacterial hits in the latter infection model revealed compounds able to reduce intracellular growth more than 50% at 30 μM. Moreover, the chemical space and physico-chemical properties of the anti- hits were compared to standard and candidate (Mtb) drugs using ChemGPS-NP. A principle component analysis identified separate clusters for anti- and anti- hits unveiling the potentially new physico-chemical properties of these hits compared to standard and candidate drugs. Our studies underscore the relevance of using a combination of low-cost and low-complexity assays with full 3R compliance in concert with a rationalized focused library of compounds to identify new chemical scaffolds and to dissect some of their properties prior to taking further steps toward compound development.

摘要

结核分枝杆菌和[未提及的病原体名称]是潜在致命呼吸道疾病的病原体,这不仅归因于它们内在的发病机制,还归因于抗生素耐药性的出现,这限制了治疗选择。我们研究的目的是探索一个由1255种结构多样的化合物组成的基于小配体的化学文库的抗菌活性。这些化合物通过三种测定法进行筛选,其中两种监测病原菌的细胞内生长,即[未提及的两种病原菌名称],另一种评估[未提及的病原菌名称]的毒力。我们使用两种变形虫菌株建立了这些测定法,即遗传上易于处理的群居变形虫[未提及的变形虫名称]和自由生活的变形虫[未提及的变形虫名称]。总之,64种(5.1%)化合物在三种测定法中的至少一种中显示出抗感染/抗毒力活性。细胞内测定法的命中率在[未提及的病原菌名称]的1.7%(n = 22)和[未提及的病原菌名称]的2.8%(n = 35)之间变化,两种病原体共有7种化合物。同时,1.2%(n = 15)的测试化合物能够在加有[未提及的病原菌名称]的食物细菌草坪中恢复[未提及的细菌名称]的生长。我们还使用[未提及的宿主 - 病原体模型名称]验证了在[未提及的病原菌名称]抗感染筛选中鉴定出的命中化合物的普遍性。在后者的感染模型中对抗感染和抗菌命中化合物的表征揭示了在30μM时能够将细胞内生长减少超过50%的化合物。此外,使用ChemGPS - NP将抗[未提及的病原菌名称]命中化合物的化学空间和物理化学性质与标准和候选[未提及的结核分枝杆菌药物名称](Mtb)药物进行了比较。主成分分析确定了抗[未提及的病原菌名称]和抗[未提及的病原菌名称]命中化合物的单独聚类,揭示了与标准和候选[未提及的结核分枝杆菌药物名称]药物相比这些命中化合物潜在的新物理化学性质。我们的研究强调了结合使用低成本、低复杂性且完全符合3R原则的测定法与合理聚焦的化合物文库来识别新的化学支架并在朝着化合物开发迈出进一步步骤之前剖析其一些性质的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/a3d40e3909f2/fmicb-11-00266-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/56cdbef26268/fmicb-11-00266-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/c70b9adae4c0/fmicb-11-00266-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/53ef6c894a2f/fmicb-11-00266-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/97cedc3f61b4/fmicb-11-00266-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/e5d9b28da480/fmicb-11-00266-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49f7/7047896/a3d40e3909f2/fmicb-11-00266-g009.jpg

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