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新鲜分离的原代人近端肾小管细胞作为检测肾小管毒性的体外模型。

Freshly isolated primary human proximal tubule cells as an in vitro model for the detection of renal tubular toxicity.

作者信息

Bajaj Piyush, Chung Git, Pye Keith, Yukawa Tomoya, Imanishi Akio, Takai Yuichi, Brown Colin, Wagoner Matthew P

机构信息

Drug Safety Research and Evaluation, Takeda Pharmaceutical International Co., Cambridge, MA USA.

Newcells Biotech, Newcastle UK.

出版信息

Toxicology. 2020 Sep;442:152535. doi: 10.1016/j.tox.2020.152535. Epub 2020 Jul 2.

Abstract

Drug induced kidney injury (DIKI) is a common reason for compound attrition in drug development pipelines with proximal tubule epithelial cells (PTECs) most commonly associated with DIKI. Here, we investigated freshly isolated human (hPTECs) as an in vitro model for assessing renal tubular toxicity. The freshly isolated hPTECs were first characterized to confirm gene expression of important renal transporters involved in drug handling which was further corroborated by confirming the functional activity of organic cation transporter 2 and organic anion transporter 1 by using transporter specific inhibitors. Additionally, functionality of megalin/cubilin endocytic receptors was also confirmed. A training set of 36 compounds was used to test the ability of the model to classify them using six different endpoints which included three biomarkers (Kidney Injury Molecule-1, Neutrophil gelatinase-associated lipocalin, and Clusterin) and three non-specific injury endpoints (ATP depletion, LDH leakage, and barrier permeability via transepithelial electrical resistance) in a dose-dependent manner across two independent kidney donors. In general, biomarkers showed higher predictivity than non-specific endpoints, with Clusterin showing the highest predictivity (Sensitivity/Specificity - 65.0/93.8 %). By using the thresholds generated from the training set, nine candidate internal Takeda compounds were screened where PTEC toxicity was identified as one of the findings in preclinical animal studies. The model correctly classified four of six true positives and two of three true negatives, showing validation of the in vitro model for detection of tubular toxicants. This work thus shows the potential application of freshly isolated primary hPTECs using translational biomarkers in assessment of tubular toxicity within the drug discovery pipeline.

摘要

药物性肾损伤(DIKI)是药物研发流程中化合物淘汰的常见原因,近端肾小管上皮细胞(PTECs)最常与DIKI相关。在此,我们研究了新鲜分离的人近端肾小管上皮细胞(hPTECs)作为评估肾小管毒性的体外模型。首先对新鲜分离的hPTECs进行表征,以确认参与药物处理的重要肾转运蛋白的基因表达,通过使用转运蛋白特异性抑制剂确认有机阳离子转运体2和有机阴离子转运体1的功能活性,进一步证实了这一点。此外,巨膜蛋白/立方蛋白内吞受体的功能也得到了确认。使用一组包含36种化合物的训练集,通过六个不同的终点来测试该模型对它们进行分类的能力,这六个终点包括三种生物标志物(肾损伤分子-1、中性粒细胞明胶酶相关脂质运载蛋白和簇集蛋白)和三种非特异性损伤终点(ATP耗竭、乳酸脱氢酶泄漏以及通过跨上皮电阻测定的屏障通透性),在来自两个独立肾脏供体的样本中呈剂量依赖性。总体而言,生物标志物显示出比非特异性终点更高的预测性,簇集蛋白显示出最高的预测性(敏感性/特异性 - 65.0/93.8%)。通过使用从训练集生成的阈值,筛选了9种武田内部候选化合物,其中PTEC毒性被确定为临床前动物研究中的发现之一。该模型正确分类了六个真阳性中的四个和三个真阴性中的两个,表明该体外模型可用于检测肾小管毒物。因此,这项工作展示了使用翻译生物标志物的新鲜分离的原代hPTECs在药物发现流程中评估肾小管毒性方面的潜在应用。

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