格列本脲引起L6骨骼肌细胞内质网应激和肌因子表达

Q4 Biochemistry, Genetics and Molecular Biology International Journal of Biology and Biomedical Engineering Pub Date : 2022-01-18 DOI:10.46300/91011.2022.16.21
Kisang Kwon, Y. Ko, Hyewon Park, Junghae Kim, Kyung-Hee Kang, Seung-Whan Kim, O. Kwon
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引用次数: 0

摘要

尽管格列本脲是一种用于2型糖尿病的口服降糖药,但据报道,骨骼肌萎缩是一种副作用。为了了解如何减少这种副作用,我们确定了格列本脲是否在骨骼肌细胞中诱导内质网(ER)应激,以及此时哪些肌因子的表达发生了变化。ER伴侣基因在格列本脲作用下没有表现出显著变化,但ER应激传感器基因约两次表达,下游[ATF6(激活转录因子6)片段化、eIF2α(真核起始因子2α)磷酸化和XBP1(Xbox DNA结合蛋白)mRNA剪接]被激活。此外,肌细胞因子基因的表达被格列本脲上调或下调。这些结果将为克服格列本脲引起的少肌症的副作用提供有用的数据。
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Glibenclamide Elicits Endoplasmic Reticulum Stress and Myokine Expression in the L6 Skeletal Muscle Cells
Although glibenclamide is an oral hypoglycemic agent used in type 2 diabetes, skeletal muscle wasting has been reported as a side effect. To understand how to reduce this side effect, we determined whether glibenclamide induces endoplasmic reticulum (ER) stress in skeletal muscle cells and which myokine expression changes at this time. The ER chaperone genes do not show a significant change by glibenclamide, but the ER stress sensor genes are upexpressed approximately twice, and those downstream [ATF6 (activating transcription factor 6) fragmentation, eIF2α (eukaryotic initiation factor-2α) phosphorylation, and XBP1 (Xbox DNA-binding protein) mRNA splicing] are activated. Additionally, the myokine gene expression was up- or downregulated by glibenclamide. These results will serve as useful data for overcoming the side effects of sarcopenia caused by glibenclamide.
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来源期刊
International Journal of Biology and Biomedical Engineering
International Journal of Biology and Biomedical Engineering Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
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期刊介绍: Topics: Molecular Dynamics, Biochemistry, Biophysics, Quantum Chemistry, Molecular Biology, Cell Biology, Immunology, Neurophysiology, Genetics, Population Dynamics, Dynamics of Diseases, Bioecology, Epidemiology, Social Dynamics, PhotoBiology, PhotoChemistry, Plant Biology, Microbiology, Immunology, Bioinformatics, Signal Transduction, Environmental Systems, Psychological and Cognitive Systems, Pattern Formation, Evolution, Game Theory and Adaptive Dynamics, Bioengineering, Biotechnolgies, Medical Imaging, Medical Signal Processing, Feedback Control in Biology and Chemistry, Fluid Mechanics and Applications in Biomedicine, Space Medicine and Biology, Nuclear Biology and Medicine.
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