Objective To explore the sequential effects of hypoxic exercising on miR-27/PPARγand lipid metabolism targetgene and protein expression levels in the obesity rats’liver.Methods 13-week-old male diet-induced obesity ...Objective To explore the sequential effects of hypoxic exercising on miR-27/PPARγand lipid metabolism targetgene and protein expression levels in the obesity rats’liver.Methods 13-week-old male diet-induced obesity rats were randomlydivided into three groups(n=10):normal oxygen concentration quiet group(N),hypoxia quiet group(H),hypoxic exercise group(HE).Exercise training on the horizontal animal treadmill for 1 h/d,5 d/week for a total of 4 week,and the intensity of horizontaltreadmill training was 20 m/min(hypoxic concentration was 13.6%).Comparison of the weights of perirenal fat and epididymal fat in rats across different groups and calculation of Lee’s index based on body weight and body length of rats in each group were done.And the serum concentrations of total cholesterol(TC),triglyceride(TG),low density lipoprotein cholesterol(LDL-C),high-densitylipoprotein cholesterol(HDL-C)levels were detected.RT-PCR and Western Blot were used to detect the levels of miR-27,PPARγ,CYP7A1 and CD36.Results Hypoxic exercise decreased the expression levels of miR-27 in the obese rats’liver,however,theexpression level of PPARγwas gradually increased.The expression levels of miR-27 in HE group were significantly lower than Ngroup(P<0.05).The expression levels of PPARγmRNA in N group were significantly lower than H group(P<0.05),especially lowerthan HE group(P<0.01).The protein expression of PPARγprotein in N group was significantly lower than that other groups(P<0.01).The expression of lipid metabolism-related genes and proteins increased in the obese rats’liver.The expression of CYP7A1mRNA in N group was significantly lower than H group(P<0.05),especially lower than HE group(P<0.01).The expression ofCYP7A1 protein in the obese rats’liver in N group was extremely lower than H group and HE group(P<0.01).The proteinexpression of CD36 in N group was significantly lower than that in HE group(P<0.05).Hypoxia exercise improved the relatedphysiological and biochemical indexes of lipid metabolism disorder.The perirenal fat weight of obese rats in HE group wasextremely lower than N group and H group(P<0.01),and the perirenal fat weight in N group was significantly higher than H group(P<0.05).The epididymal fat weight in N group was significantly higher than H group(P<0.05),and extremely higher than HEgroup(P<0.01).The Lee’s index in HE group was extremely lower than N group and H group(P<0.01).The serum concentration ofTC in obese rats in HE group was extremely lower than N group and H group(P<0.01).The serum concentration of TG in HE groupwas extremely lower than N group and H group(P<0.01).The serum concentration of LDL-C in N group was extremely higher thanHE group(P<0.01).The serum concentration of HDL-C in N group was extremely lower than H group(P<0.01).Conclusion Hypoxiaand hypoxia exercise may negatively regulate the levels of PPARγby inhibiting miR-27 in the obese rats’liver,thereby affecting theexpression of downstream target genes CYP7A1 and CD36,and promoting cholesterol,fatty acid oxidation and HDL-C transport inthe liver,and ultimately the lipid levels in obese rats were improved.The effect of hypoxia exercise on improving blood lipid isbetter than simple hypoxia intervention.展开更多
为探索近红外光谱结合深度学习网络对紫菜水分定量检测的可行性,本研究检测并收集了479组干条斑紫菜的光谱数据和水分含量数据,分别使用四种方法对其中的光谱数据进行了预处理,并在全波段下建立了四种传统定量水分预测模型和一种卷积神...为探索近红外光谱结合深度学习网络对紫菜水分定量检测的可行性,本研究检测并收集了479组干条斑紫菜的光谱数据和水分含量数据,分别使用四种方法对其中的光谱数据进行了预处理,并在全波段下建立了四种传统定量水分预测模型和一种卷积神经网络(Convolution Neural Networks,CNN)深度学习水分预测模型。对比五种模型预测结果后发现,在S-G平滑结合二阶导数的预处理方法下所建立的CNN模型预测效果最佳,其预测均方根误差(Root-Mean-Square Error of Prediction,RMSEP)值为0.456,预测集决定系数(Coefficient of Determination of Prediction,R_(p)^(2))值为0.990,优化后,该模型的RMSEP值降至0.342,R_(p)^(2)值可以达到0.994(>0.8),同时,外部验证相对误差(Ratio of Performance to Deviation for Validation,RPD)值达6.155(>3),证明了模型实际应用于农业和食品工业的可能性。该CNN模型能够快速、准确、无损地预测条斑紫菜的水分含量,提高了紫菜水分检测的效率和准确性,为相关干制水产品的质量控制提供了重要的参考依据。展开更多
为全面分析并总结养殖业废水处理技术研究的现状,利用文献计量学方法,对近10 a来CNKI和Web of Science(WoS)核心合集数据库中与养殖业废水处理技术相关的文献进行筛选整理,分别获得1043篇和233篇有效文献样本。通过CiteSpace和VOSviewe...为全面分析并总结养殖业废水处理技术研究的现状,利用文献计量学方法,对近10 a来CNKI和Web of Science(WoS)核心合集数据库中与养殖业废水处理技术相关的文献进行筛选整理,分别获得1043篇和233篇有效文献样本。通过CiteSpace和VOSviewer软件对文献样本的发文年份、国家、作者和研究机构以及关键词等方面进行可视化分析,研究结果表明:中国在养殖废水处理技术领域的研究占据主导地位,热度远高于其他国家。国内外研究该领域的核心学科均为环境类,但农业、工程类及生物、化学等学科也对该领域的发展做出一定贡献,这种跨学科性质促进了处理技术的更新和创新,有助于处理复杂的污染物。但目前该领域尚未形成紧密的全球合作网络,未来跨机构合作潜力大。近10 a来,该领域研究已向高效、无二次污染的新型处理方向转变,有效处理的污染物种类不断增多,并对可持续性和资源、能源回收更加重视。展开更多
文摘Objective To explore the sequential effects of hypoxic exercising on miR-27/PPARγand lipid metabolism targetgene and protein expression levels in the obesity rats’liver.Methods 13-week-old male diet-induced obesity rats were randomlydivided into three groups(n=10):normal oxygen concentration quiet group(N),hypoxia quiet group(H),hypoxic exercise group(HE).Exercise training on the horizontal animal treadmill for 1 h/d,5 d/week for a total of 4 week,and the intensity of horizontaltreadmill training was 20 m/min(hypoxic concentration was 13.6%).Comparison of the weights of perirenal fat and epididymal fat in rats across different groups and calculation of Lee’s index based on body weight and body length of rats in each group were done.And the serum concentrations of total cholesterol(TC),triglyceride(TG),low density lipoprotein cholesterol(LDL-C),high-densitylipoprotein cholesterol(HDL-C)levels were detected.RT-PCR and Western Blot were used to detect the levels of miR-27,PPARγ,CYP7A1 and CD36.Results Hypoxic exercise decreased the expression levels of miR-27 in the obese rats’liver,however,theexpression level of PPARγwas gradually increased.The expression levels of miR-27 in HE group were significantly lower than Ngroup(P<0.05).The expression levels of PPARγmRNA in N group were significantly lower than H group(P<0.05),especially lowerthan HE group(P<0.01).The protein expression of PPARγprotein in N group was significantly lower than that other groups(P<0.01).The expression of lipid metabolism-related genes and proteins increased in the obese rats’liver.The expression of CYP7A1mRNA in N group was significantly lower than H group(P<0.05),especially lower than HE group(P<0.01).The expression ofCYP7A1 protein in the obese rats’liver in N group was extremely lower than H group and HE group(P<0.01).The proteinexpression of CD36 in N group was significantly lower than that in HE group(P<0.05).Hypoxia exercise improved the relatedphysiological and biochemical indexes of lipid metabolism disorder.The perirenal fat weight of obese rats in HE group wasextremely lower than N group and H group(P<0.01),and the perirenal fat weight in N group was significantly higher than H group(P<0.05).The epididymal fat weight in N group was significantly higher than H group(P<0.05),and extremely higher than HEgroup(P<0.01).The Lee’s index in HE group was extremely lower than N group and H group(P<0.01).The serum concentration ofTC in obese rats in HE group was extremely lower than N group and H group(P<0.01).The serum concentration of TG in HE groupwas extremely lower than N group and H group(P<0.01).The serum concentration of LDL-C in N group was extremely higher thanHE group(P<0.01).The serum concentration of HDL-C in N group was extremely lower than H group(P<0.01).Conclusion Hypoxiaand hypoxia exercise may negatively regulate the levels of PPARγby inhibiting miR-27 in the obese rats’liver,thereby affecting theexpression of downstream target genes CYP7A1 and CD36,and promoting cholesterol,fatty acid oxidation and HDL-C transport inthe liver,and ultimately the lipid levels in obese rats were improved.The effect of hypoxia exercise on improving blood lipid isbetter than simple hypoxia intervention.
文摘为探索近红外光谱结合深度学习网络对紫菜水分定量检测的可行性,本研究检测并收集了479组干条斑紫菜的光谱数据和水分含量数据,分别使用四种方法对其中的光谱数据进行了预处理,并在全波段下建立了四种传统定量水分预测模型和一种卷积神经网络(Convolution Neural Networks,CNN)深度学习水分预测模型。对比五种模型预测结果后发现,在S-G平滑结合二阶导数的预处理方法下所建立的CNN模型预测效果最佳,其预测均方根误差(Root-Mean-Square Error of Prediction,RMSEP)值为0.456,预测集决定系数(Coefficient of Determination of Prediction,R_(p)^(2))值为0.990,优化后,该模型的RMSEP值降至0.342,R_(p)^(2)值可以达到0.994(>0.8),同时,外部验证相对误差(Ratio of Performance to Deviation for Validation,RPD)值达6.155(>3),证明了模型实际应用于农业和食品工业的可能性。该CNN模型能够快速、准确、无损地预测条斑紫菜的水分含量,提高了紫菜水分检测的效率和准确性,为相关干制水产品的质量控制提供了重要的参考依据。
文摘为全面分析并总结养殖业废水处理技术研究的现状,利用文献计量学方法,对近10 a来CNKI和Web of Science(WoS)核心合集数据库中与养殖业废水处理技术相关的文献进行筛选整理,分别获得1043篇和233篇有效文献样本。通过CiteSpace和VOSviewer软件对文献样本的发文年份、国家、作者和研究机构以及关键词等方面进行可视化分析,研究结果表明:中国在养殖废水处理技术领域的研究占据主导地位,热度远高于其他国家。国内外研究该领域的核心学科均为环境类,但农业、工程类及生物、化学等学科也对该领域的发展做出一定贡献,这种跨学科性质促进了处理技术的更新和创新,有助于处理复杂的污染物。但目前该领域尚未形成紧密的全球合作网络,未来跨机构合作潜力大。近10 a来,该领域研究已向高效、无二次污染的新型处理方向转变,有效处理的污染物种类不断增多,并对可持续性和资源、能源回收更加重视。
