Institute of Bioengineering and Nanotechnology, A*STAR, The Nanos, #04-01, 31 Biopolis Way, Singapore, 138669, Singapore.
Mechanobiology Institute, National University of Singapore, T-Lab, #05-01, 5A Engineering Drive 1, Singapore, 117411, Singapore.
Sci Rep. 2017 Aug 17;7(1):8491. doi: 10.1038/s41598-017-09178-1.
Exposure to teratogenic chemicals during pregnancy may cause severe birth defects. Due to high inter-species variation of drug responses as well as financial and ethical burdens, despite the widely use of in vivo animal tests, it's crucial to develop highly predictive human pluripotent stem cell (hPSC)-based in vitro assays to identify potential teratogens. Previously we have shown that the morphological disruption of mesoendoderm patterns formed by geometrically-confined cell differentiation and migration using hPSCs could potentially serve as a sensitive morphological marker in teratogen detection. Here, a micropatterned human pluripotent stem cell test (µP-hPST) assay was developed using 30 pharmaceutical compounds. A simplified morphometric readout was developed to quantify the mesoendoderm pattern changes and a two-step classification rule was generated to identify teratogens. The optimized µP-hPST could classify the 30 compounds with 97% accuracy, 100% specificity and 93% sensitivity. Compared with metabolic biomarker-based hPSC assay by Stemina, the µP-hPST could successfully identify misclassified drugs Bosentan, Diphenylhydantoin and Lovastatin, and show a higher accuracy and sensitivity. This scalable µP-hPST may serve as either an independent assay or a complement assay for existing assays to reduce animal use, accelerate early discovery-phase drug screening and help general chemical screening of human teratogens.
怀孕期间接触致畸化学物质可能导致严重的出生缺陷。由于药物反应在物种间存在高度差异,以及经济和伦理方面的负担,尽管体内动物试验被广泛应用,但开发高度预测性的基于人类多能干细胞(hPSC)的体外检测方法来识别潜在致畸物至关重要。此前,我们已经表明,使用 hPSC 通过几何约束的细胞分化和迁移形成的中胚层和内胚层模式的形态破坏,可能作为致畸检测的敏感形态学标志物。在此,我们使用 30 种药物化合物开发了一种微图案化人类多能干细胞检测(µP-hPST)方法。开发了简化的形态计量读数来量化中胚层和内胚层模式变化,并生成两步分类规则来识别致畸物。优化的 µP-hPST 可以 97%的准确率、100%的特异性和 93%的灵敏度对 30 种化合物进行分类。与 Stemina 的基于代谢生物标志物的 hPSC 检测相比,µP-hPST 可以成功识别分类错误的药物 Bosentan、苯妥英和洛伐他汀,并显示出更高的准确性和灵敏度。这种可扩展的 µP-hPST 可以作为现有检测方法的独立检测方法或补充检测方法,以减少动物使用、加速早期发现阶段的药物筛选并帮助对人类致畸物进行一般化学筛选。