Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Boehringer Ingelheim International GmbH, Pharmaceuticals Inc., Ridgefield, CT 06877, USA.
Int J Mol Sci. 2022 Jan 24;23(3):1286. doi: 10.3390/ijms23031286.
Doxorubicin is widely used in the treatment of different cancers, and its side effects can be severe in many tissues, including the intestines. Symptoms such as diarrhoea and abdominal pain caused by intestinal inflammation lead to the interruption of chemotherapy. Nevertheless, the molecular mechanisms associated with doxorubicin intestinal toxicity have been poorly explored. This study aims to investigate such mechanisms by exposing 3D small intestine and colon organoids to doxorubicin and to evaluate transcriptomic responses in relation to viability and apoptosis as physiological endpoints. The in vitro concentrations and dosing regimens of doxorubicin were selected based on physiologically based pharmacokinetic model simulations of treatment regimens recommended for cancer patients. Cytotoxicity and cell morphology were evaluated as well as gene expression and biological pathways affected by doxorubicin. In both types of organoids, cell cycle, the p53 signalling pathway, and oxidative stress were the most affected pathways. However, significant differences between colon and SI organoids were evident, particularly in essential metabolic pathways. Short time-series expression miner was used to further explore temporal changes in gene profiles, which identified distinct tissue responses. Finally, in silico proteomics revealed important proteins involved in doxorubicin metabolism and cellular processes that were in line with the transcriptomic responses, including cell cycle and senescence, transport of molecules, and mitochondria impairment. This study provides new insight into doxorubicin-induced effects on the gene expression levels in the intestines. Currently, we are exploring the potential use of these data in establishing quantitative systems toxicology models for the prediction of drug-induced gastrointestinal toxicity.
多柔比星广泛用于治疗不同类型的癌症,但其在许多组织(包括肠道)中的副作用可能很严重。肠道炎症引起的腹泻和腹痛等症状会导致化疗中断。然而,多柔比星肠道毒性的分子机制尚未得到充分探索。本研究旨在通过将 3D 小肠和结肠类器官暴露于多柔比星中,并评估与活力和细胞凋亡相关的转录组反应作为生理终点,来研究这些机制。基于针对癌症患者推荐的治疗方案的基于生理的药代动力学模型模拟,选择了体外多柔比星浓度和给药方案。评估了细胞毒性和细胞形态,以及多柔比星影响的基因表达和生物学途径。在这两种类器官中,细胞周期、p53 信号通路和氧化应激是受影响最严重的途径。然而,结肠和 SI 类器官之间存在明显差异,尤其是在必需代谢途径方面。短时间序列表达挖掘器用于进一步探索基因谱的时间变化,从而确定了不同的组织反应。最后,计算蛋白质组学揭示了与转录组反应一致的参与多柔比星代谢和细胞过程的重要蛋白质,包括细胞周期和衰老、分子运输和线粒体损伤。本研究为多柔比星对肠道基因表达水平的诱导作用提供了新的见解。目前,我们正在探索将这些数据用于建立定量系统毒理学模型以预测药物引起的胃肠道毒性的潜在用途。