Abstract
Thrombocytopenia, a most common complication of radiotherapy and chemotherapy, is an important cause of morbidity and mortality in cancer patients. However, there are still no approved agents for the treatment of radiation- and chemotherapy-induced thrombocytopenia (RIT and CIT, respectively). In this study, a drug screening model for predicting compounds with activity in promoting megakaryocyte (MK) differentiation and platelet production was established based on machine learning (ML), and a natural product ingenol was predicted as a potential active compound. Then, in vitro experiments showed that ingenol significantly promoted MK differentiation in K562 and HEL cells. Furthermore, a RIT mice model and c-MPL knock-out (c-MPL-/-) mice constructed by CRISPR/Cas9 technology were used to assess the therapeutic action of ingenol on thrombocytopenia. The results showed that ingenol accelerated megakaryopoiesis and thrombopoiesis both in RIT mice and c-MPL-/- mice. Next, RNA-sequencing (RNA-seq) was carried out to analyze the gene expression profile induced by ingenol during MK differentiation. Finally, through experimental verifications, we demonstrated that the activation of PI3K/Akt signaling pathway was involved in ingenol-induced MK differentiation. Blocking PI3K/Akt signaling pathway abolished the promotion of ingenol on MK differentiation. Nevertheless, inhibition of TPO/c-MPL signaling pathway could not suppress ingenol-induced MK differentiation. In conclusion, our study builds a drug screening model to discover active compounds against thrombocytopenia, reveals the critical roles of ingenol in promoting MK differentiation and platelet production, and provides a promising avenue for the treatment of RIT.
2.2. Chemicals
Ingenol (purity = 99.99%, as determined by HPLC) were purchased from Chengdu DeSiTe Biological Technology Co., Ltd. (Chengdu, China) and reconstituted according to manufacturers’ instructions.
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原文链接:https://doi.org/10.1016/j.phrs.2022.106096
Royal society of chemistry-12 Mar 2020
The development and
World Journal of Microbiology and Biotechnology-20 June 2018
期刊名:World Journal of
Nat Biotech| 北京大学谢正伟课题组与合作者创建基于基因指纹和深度学习的药效预测系统(DLEPS)
原文链接:htt
Journal of separation science-26 November 2019
Biosurfactant trehal
Journal of separation science-07 January 2020
Comparison of the ac
细辛水提物HPLC指纹图谱及化学模式识别的研究
摘要:[目的] 通过建立中药细辛水提物高