首页> 外文期刊>Bioscience, Biotechnology, and Biochemistry >A new in vitro muscle contraction model and its application for analysis of mTORC1 signaling in combination with contraction and beta-hydroxy-beta-methylbutyrate administration
【24h】

A new in vitro muscle contraction model and its application for analysis of mTORC1 signaling in combination with contraction and beta-hydroxy-beta-methylbutyrate administration

机译:一种新的体外肌肉收缩模型及其与收缩和β-羟基β-甲基丁酯给药组合的MTORC1信号分析应用

获取原文
获取原文并翻译 | 示例
       

摘要

Several food constituents augment exercise-induced muscle strength improvement; however, the detailed mechanism underlying these combined effects is unknown because of the lack of a cultured cell model for evaluating the contraction-induced muscle protein synthesis level. Here, we aimed to establish a new in vitro muscle contraction model for analyzing the activation of mammalian target of rapamycin complex 1 (mTORC1) signaling. We adopted the tetanic electric stimulation of 50 V at 100 Hz for 10 min in L6.C11 myotubes. Akt, ERK1/2, and p70S6K phosphorylation increased significantly after electrical pulse stimulation (EPS), compared to untreated cells. Next, we used this model to analyze mTORC1 signaling in combination with exercise and beta-hydroxy-beta-methylbutyrate (HMB), an l-leucine metabolite. p70S6K phosphorylation increased significantly in the EPS+HMB group compared to that in the EPS-alone group. These findings show that our model could be used to analyze mTORC1 signaling and that HMB enhances muscle contraction-activated mTORC1 signaling.
机译:几种食物成分增强运动诱导的肌肉力量改善;然而,由于缺乏用于评估收缩诱导的肌肉蛋白质合成水平的培养细胞模型,这些组合效应的细化机制是未知的。在这里,我们旨在建立一种新的体外肌肉收缩模型,用于分析雷帕霉素络合物1(MTORC1)信号传导的哺乳动物靶标。在L6.c11 myotubes中,我们在100Hz以100Hz的滴答物电刺激通过了50V的滴答量。与未处理的细胞相比,AKT,ERK1 / 2和P70S6K磷酸化显着增加了电脉冲刺激(EPS)。接下来,我们使用该模型与运动和β-羟基β-甲基丁酸酯(HMB)组合分析MTORC1信号,L亮氨酸代谢物。与EPS-单人组相比,EPS + HMB组P70S6K磷酸化显着增加。这些发现表明,我们的模型可用于分析MTORC1信令,并且HMB增强肌肉收缩激活的MTORC1信令。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号