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一种用于预测药物性肺毒性的新型体外高内涵成像检测方法。

A novel in vitro high-content imaging assay for the prediction of drug-induced lung toxicity.

机构信息

Safety Sciences, Clinical Pharmacology and Safety Sciences, R and D, AstraZeneca, Gothenburg, Sweden.

AstraZeneca Pathology, Clinical Pharmacology and Safety Sciences, R and D, AstraZeneca, Cambridge, UK.

出版信息

Arch Toxicol. 2024 Sep;98(9):2985-2998. doi: 10.1007/s00204-024-03800-8. Epub 2024 May 28.

Abstract

The development of inhaled drugs for respiratory diseases is frequently impacted by lung pathology in non-clinical safety studies. To enable design of novel candidate drugs with the right safety profile, predictive in vitro lung toxicity assays are required that can be applied during drug discovery for early hazard identification and mitigation. Here, we describe a novel high-content imaging-based screening assay that allows for quantification of the tight junction protein occludin in A549 cells, as a model for lung epithelial barrier integrity. We assessed a set of compounds with a known lung safety profile, defined by clinical safety or non-clinical in vivo toxicology data, and were able to correctly identify 9 of 10 compounds with a respiratory safety risk and 9 of 9 compounds without a respiratory safety risk (90% sensitivity, 100% specificity). The assay was sensitive at relevant compound concentrations to influence medicinal chemistry optimization programs and, with an accessible cell model in a 96-well plate format, short protocol and application of automated imaging analysis algorithms, this assay can be readily integrated in routine discovery safety screening to identify and mitigate respiratory toxicity early during drug discovery. Interestingly, when we applied physiologically-based pharmacokinetic (PBPK) modelling to predict epithelial lining fluid exposures of the respiratory tract after inhalation, we found a robust correlation between in vitro occludin assay data and lung pathology in vivo, suggesting the assay can inform translational risk assessment for inhaled small molecules.

摘要

在非临床安全性研究中,肺部病理学经常会影响呼吸疾病吸入药物的开发。为了设计具有正确安全性特征的新型候选药物,需要能够在药物发现过程中进行早期危害识别和缓解的预测性体外肺毒性检测。在这里,我们描述了一种新的基于高通量成像的筛选检测方法,该方法可定量测定 A549 细胞中的紧密连接蛋白 occludin,作为肺上皮屏障完整性的模型。我们评估了一组具有已知肺部安全性特征的化合物,这些特征由临床安全性或非临床体内毒理学数据定义,并且能够正确识别 9 种具有呼吸安全性风险的化合物和 9 种无呼吸安全性风险的化合物(90%的敏感性,100%的特异性)。该检测方法在相关化合物浓度下具有敏感性,可影响药物化学优化方案,并且由于采用了可及的细胞模型、96 孔板格式、简短的方案和自动化成像分析算法的应用,因此该检测方法可以很容易地整合到常规发现安全性筛选中,以在药物发现过程中尽早识别和缓解呼吸毒性。有趣的是,当我们应用基于生理学的药代动力学(PBPK)模型来预测吸入后呼吸道上皮衬里液中的暴露时,我们发现体外 occludin 检测数据与体内肺病理学之间存在很强的相关性,这表明该检测方法可以为吸入式小分子的转化风险评估提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c43/11324770/7cd828fc99b4/204_2024_3800_Fig1_HTML.jpg

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