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Network pharmacology-based analysis of effective components and mechanism of Rhizoma coptidis in treating diabetes 被引量:1
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作者 Qian-Qian Zeng jia-wei cai +3 位作者 Yue Xu Lin Li Qiu Chen Ren-Song Yue 《Asian Pacific Journal of Tropical Biomedicine》 SCIE CAS 2021年第1期29-39,共11页
Objective:To identify the active ingredients,potential targets,and mechanism of Rhizoma coptidis by bioinformatics method,and to explore the hypoglycemic effect of Rhizoma coptidis by in vitro experiments.Methods:The ... Objective:To identify the active ingredients,potential targets,and mechanism of Rhizoma coptidis by bioinformatics method,and to explore the hypoglycemic effect of Rhizoma coptidis by in vitro experiments.Methods:The chemical components of Rhizoma coptidis were collected through database search,and oral bioavailability and drug-likeness were used for preliminary screening.The targets of Rhizoma coptidis and diabetes-related targets were collected by database retrieval and reverse docking techniques,and the biological process of cross-set proteins was analyzed.The inhibitory effects of Rhizoma coptidis onα-glucosidase,α-amylase activity,and advanced glycation end products(AGEs)were determined via in vitro experiments.In addition,the effects of Rhizoma coptidis on preadipocyte differentiation,absorption of glucose by adipocytes,and the level of intracellular triglyceride were investigated using the adipocyte differentiation model.Results:There were 11 potentially active ingredients in Rhizoma coptidis.IL-6,caspase-3,epidermal growth factor receptor(EGFR),MYC,and estrogen receptor 1 were considered as the key genes.The bioinformatics analysis showed that Rhizoma coptidis played an antidiabetic role mainly via biological processes and signaling pathways including hormone receptor activity,glutathione binding,steroid binding,etc.In vitro experiments showed that the extract of Rhizoma coptidis inhibited the activities ofα-glucosidase andα-amylase,and the generation of AGEs;meanwhile,the extract promoted the absorption of glucose by adipocytes.In addition,the extract of Rhizoma coptidis decreased triglyceride level.Conclusions:Our network pharmacology and in vitro experiments demonstrate the anti-diabetic effects and possible underlying mechanisms of Rhizoma coptidis extract. 展开更多
关键词 Rhizoma coptidis DIABETES Network pharmacology TARGET Traditional Chinese medicine
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一种预测结肠腺癌系统性复发的11基因标记
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作者 jia-wei cai Xiao-Ming Huang +6 位作者 Xiao-Lan Li Si Qin Yu-Ming Rong Xi Chen Jing-Rong Weng Yi-Feng Zou Xu-Tao Lin 《Gastroenterology Report》 SCIE EI 2021年第5期451-460,I0002,I0003,共12页
背景:同一分期的结肠腺癌患者预后不尽相同,因此,需要寻找可靠的分子标记物来指导个体化治疗决策。本研究旨在鉴定出可用于结肠腺癌预后预测的基因特征。方法:分别从GEO数据库和TCGA数据库中获取332例和431例结肠腺癌患者的基因表达数... 背景:同一分期的结肠腺癌患者预后不尽相同,因此,需要寻找可靠的分子标记物来指导个体化治疗决策。本研究旨在鉴定出可用于结肠腺癌预后预测的基因特征。方法:分别从GEO数据库和TCGA数据库中获取332例和431例结肠腺癌患者的基因表达数据集。在训练集(93例)中分析基因特征与无复发生存之间的关系,并分别在内部验证集(94例)和两个外部验证集(145例和431例)中进行验证。结果:通过单变量和LASSO Cox回归分析,共鉴定出11个基因(NDRG1、FLT1、LBP、FABP4、ADIPOQ、AGT、ACVRL1、CCL11、CDC42、TRAV9_2和POMC)。根据风险评分模型,以中位数为临界值,将患者分为高危组和低危组。训练集1、3、5年复发的曲线下面积分别为0.970、0.849和0.859;训练集高危组患者无复发生存率明显低于低危组。此模型的预测准确性在各个验证集中均得到了验证。与其他四种模型相比,本模型对1、3、5年复发显示了更优的预测能力。结论:此基因模型对结肠腺癌复发有良好的预测作用,其预后分级的准确性有待进一步研究证实。 展开更多
关键词 colon cancer gene signature RECURRENCE PROGNOSIS
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