白藜芦醇促进肥胖小鼠骨骼肌中FNDC5降解的机制

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Abstract

目的研究白藜芦醇通过诱导自噬促进肥胖小鼠骨骼肌组织中纤连蛋白Ⅲ型结构域包含5(FNDC5)降解的机制.方法将6周龄雄性C57BL/6小鼠随机分为标准饮食(SCD)组、高脂(HFD)组及高脂+白藜芦醇(HFD+RES)组,HFD+RES组在HFD的同时胃饲白藜芦醇(400 mg/kg·d),共持续20周.测定体质量、血清甘油三酯、总胆固醇、低密度脂蛋白、高密度脂蛋白,HE染色检测骨骼肌的病理学变化.免疫组化、RT-PCR和Western blot分析和纤连蛋白Ⅲ型结构域包含5(FNDC5)、沉默信息调节因子(SIRT)-1、SIRT2、微管相关蛋白1轻链3α(LC3)、选择性自噬接头蛋白(p62)、Bcl-2同源结构域蛋白抗体(Beclin-1)、噬相关5同源物(ATG5)、噬相关7同源物(ATG7)的表达.结果 HFD组小鼠体质量增高,血清TG、TC和LDL-C水平显著升高,HDL-C水平下降;骨骼肌纤维间出现脂肪沉积;SIRT1、SIRT2和LC3的蛋白表达水平降低,而FNDC5和p62的蛋白表达升高.FNDC5的表达水平升高,SIRT1、SIRT2、LC3、Atg7和Beclin-1的基因表达水平降低.RES组可逆转HFD的效应,增加SIRT1、SIRT2和自噬相关基因的表达.结论白藜芦醇可减少骨骼肌FNDC5表达的效应,其机制可能与其增加SIRT1和SIRT2的表达,进而促进自噬和FNDC5的降解有关.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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