Bufalin exerts antitumor effects in neuroblastoma via the induction of reactive oxygen species‑mediated apoptosis by targeting the electron transport chain

作者
Lijia Pan,Litong Nie,Sheng Yao,Aiwei Bi,Yang Ye,Yeming Wu,Zhen Tan,Zhixiang Wu
出处
期刊:International Journal of Molecular Medicine [Spandidos Publishing]
卷期号:46 (6): 2137-2149 被引量:24
标识
DOI:10.3892/ijmm.2020.4745
摘要

The prognosis of high‑risk neuroblastoma remains poor. Clinical first‑line drugs for treating neuroblastoma have been developed over the previous half‑century; however, progress in the identification of new drugs with high efficiency is required. Bufalin, one of the major components of extracts obtained from the venom of the Chinese toad Bufo gargarizans, which is used to treat heart failure in Asian Pacific countries, has been reported to be a potential drug against multiple types of tumor; however, the detailed mechanisms underlying its antitumor activities remain unclear, largely due to lack of knowledge regarding its targets. In the present study, bufalin was revealed to exhibit potent antitumor effects against neuroblastoma, both in vitro and in vivo, using cell proliferation, colony formation, Transwell migration and flow cytometry assays, as well as a nude mouse subcutaneous xenograft model. Moreover, a chemically modified bufalin probe was designed to identify the potential targets of bufalin in neuroblastoma via chemical proteomics. With this strategy, it was revealed that the electron transport chain (ETC) on the inner membrane of mitochondria may contain potential targets for bufalin, and that bufalin‑induced mitochondrial‑dependent apoptosis may be caused by disruption of the ETC. Collectively, the present study suggests that bufalin may a promising drug for chemotherapy against neuroblastoma, and provides a foundation for further studies into the antitumor mechanisms of bufalin.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Gauss应助AI4NEXT采纳,获得30
1秒前
1秒前
华123发布了新的文献求助30
1秒前
李健的小迷弟应助啦啦啦采纳,获得10
2秒前
ZB发布了新的文献求助10
2秒前
Baylin发布了新的文献求助10
4秒前
coldfish发布了新的文献求助10
4秒前
田様应助entgegen采纳,获得10
4秒前
冷艳的白凡完成签到,获得积分10
5秒前
wangxuezhibuct完成签到 ,获得积分10
5秒前
星辰大海应助雪梨酱采纳,获得10
6秒前
123关注了科研通微信公众号
6秒前
6秒前
奶油生菜完成签到,获得积分10
7秒前
7秒前
云城完成签到,获得积分10
8秒前
小兔完成签到,获得积分10
8秒前
CodeCraft应助6789采纳,获得10
9秒前
酷波er应助ikun采纳,获得10
9秒前
coldfish完成签到,获得积分10
10秒前
向北游完成签到,获得积分10
10秒前
11秒前
11秒前
12秒前
洁净的寻菱完成签到 ,获得积分10
13秒前
英俊的铭应助Baylin采纳,获得10
13秒前
14秒前
煎饼果子发布了新的文献求助10
14秒前
Rudan完成签到,获得积分10
15秒前
ZB完成签到,获得积分10
15秒前
深情安青应助青梅煮酒采纳,获得10
15秒前
达不溜发布了新的文献求助10
16秒前
17秒前
hui完成签到,获得积分10
18秒前
啦啦啦发布了新的文献求助10
19秒前
lu应助pick采纳,获得10
20秒前
22秒前
22秒前
22秒前
syy应助Blackmamba采纳,获得30
24秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576346
求助须知:如何正确求助?哪些是违规求助? 9155933
关于积分的说明 19587431
捐赠科研通 7160381
什么是DOI,文献DOI怎么找? 3264993
关于科研通互助平台的介绍 2430152
邀请新用户注册赠送积分活动 2255622