BACKGROUND Diabetic kidney disease(DKD)is a major complication of diabetes mellitus.Renal tubular epithelial cell(TEC)damage,which is strongly associated with the inflammatory response and mesenchymal trans-differenti...BACKGROUND Diabetic kidney disease(DKD)is a major complication of diabetes mellitus.Renal tubular epithelial cell(TEC)damage,which is strongly associated with the inflammatory response and mesenchymal trans-differentiation,plays a significant role in DKD;However,the precise molecular mechanism is unknown.The recently identified microRNA-630(miR-630)has been hypothesized to be closely associated with cell migration,apoptosis,and autophagy.However,the association between miR-630 and DKD and the underlying mechanism remain unknown.AIM To investigate how miR-630 affects TEC injury and the inflammatory response in DKD rats.METHODS Streptozotocin was administered to six-week-old male rats to create a hypergly cemic diabetic model.In the second week of modeling,the rats were divided into control,DKD,negative control of lentivirus,and miR-630 overexpression groups.After 8 wk,urine and blood samples were collected for the kidney injury assays,and renal tissues were removed for further molecular assays.The target gene for miR-630 was predicted using bioinformatics,and the association between miR-630 and toll-like receptor 4(TLR4)was confirmed using in vitro investigations and double luciferase reporter gene assays.Overexpression of miR-630 in DKD rats led to changes in body weight,renal weight index,basic blood parameters and histopathological changes.RESULTS The expression level of miR-630 was reduced in the kidney tissue of rats with DKD(P<0.05).The miR-630 and TLR4 expressions in rat renal TECs(NRK-52E)were measured using quantitative reverse transcription polymerase chain reaction.The mRNA expression level of miR-630 was significantly lower in the high-glucose(HG)and HG+mimic negative control(NC)groups than in the normal glucose(NG)group(P<0.05).In contrast,the mRNA expression level of TLR4 was significantly higher in these groups(P<0.05).However,miR-630 mRNA expression increased and TLR4 mRNA expression significantly decreased in the HG+miR-630 mimic group than in the HG+mimic NC group(P<0.05).Furthermore,the levels of tumor necrosis factor-alpha(TNF-α),interleukin-1β(IL-1β),and IL-6 were significantly higher in the HG and HG+mimic NC groups than in NG group(P<0.05).However,the levels of these cytokines were significantly lower in the HG+miR-630 mimic group than in the HG+mimic NC group(P<0.05).Notably,changes in protein expression were observed.The HG and HG+mimic NC groups showed a significant decrease in E-cadherin protein expression,whereas TLR4,α-smooth muscle actin(SMA),and collagen IV protein expression increased(P<0.05).Conversely,the HG+miR-630 mimic group exhibited a significant increase in E-cadherin protein expression and a notable decrease in TLR4,α-SMA,and collagen IV protein expression than in the HG+mimic NC group(P<0.05).The miR-630 targets TLR4 gene expression.In vivo experiments demonstrated that DKD rats treated with miR-630 agomir exhibited significantly higher miR-630 mRNA expression than DKD rats injected with agomir NC.Additionally,rats treated with miR-630 agomir showed significant reductions in urinary albumin,blood glucose,TLR4,and proinflammatory markers(TNF-α,IL-1β,and IL-6)expression levels(P<0.05).Moreover,these rats exhibited fewer kidney lesions and reduced infiltration of inflammatory cells.CONCLUSION MiR-630 may inhibit the inflammatory reaction of DKD by targeting TLR4,and has a protective effect on DKD.展开更多
针对具有电、氢充能需求的高速公路服务区内的多能源负荷需求及服务区与周边生活垃圾处理需求,提出一种全可再生能源供能的"无废"电-氢充能服务区多源微网模型。首先,在电制氢、燃料电池、热解炉等多能源转换与存储设备的能...针对具有电、氢充能需求的高速公路服务区内的多能源负荷需求及服务区与周边生活垃圾处理需求,提出一种全可再生能源供能的"无废"电-氢充能服务区多源微网模型。首先,在电制氢、燃料电池、热解炉等多能源转换与存储设备的能量输入输出特性模型基础上,建立无废充能服务区多源微网(zero-waste charging service area multi-energy microgrid,ZWSA-MEMG)模型;其次,研究ZWSA-MEMG中多种能源转换、存储特性及多能流协调关系,建立基于高速公路充能服务区多源微网功率平衡、充能时间、多源负荷供能可靠性、可提供的电网调节性能等约束下的运行成本优化模型及其求解方法。最后,以我国西北某高速服务区实际多能源运行数据为基础,建立"无废"电-氢充能服务区多源微网优化运行仿真模型,算例仿真结果表明,该文提出的ZWSA-MEMG优化运行模型可有效提升具有垃圾处理能力的电-氢充能多能源系统的经济性,并可为电网提供较好的调节特性。展开更多
基金Supported by the Huadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation of China,No.LHDMZ22H050001the Construction of Key Projects by Zhejiang Provincial Ministry,No.WKJ-ZJ-2302+3 种基金the Zhejiang Province Chinese Medicine Modernization Program,No.2020ZX001the Key Project of Scientific Research Foundation of Chinese Medicine,No.2022ZZ002the“Pioneer”and“LeadingGoose”R&D Program of Zhejiang,No.2022C03118 and 2023C03075the Key Project of Basic Scientific Research Operating Funds of Hangzhou Medical College,No.KYZD202002.
文摘BACKGROUND Diabetic kidney disease(DKD)is a major complication of diabetes mellitus.Renal tubular epithelial cell(TEC)damage,which is strongly associated with the inflammatory response and mesenchymal trans-differentiation,plays a significant role in DKD;However,the precise molecular mechanism is unknown.The recently identified microRNA-630(miR-630)has been hypothesized to be closely associated with cell migration,apoptosis,and autophagy.However,the association between miR-630 and DKD and the underlying mechanism remain unknown.AIM To investigate how miR-630 affects TEC injury and the inflammatory response in DKD rats.METHODS Streptozotocin was administered to six-week-old male rats to create a hypergly cemic diabetic model.In the second week of modeling,the rats were divided into control,DKD,negative control of lentivirus,and miR-630 overexpression groups.After 8 wk,urine and blood samples were collected for the kidney injury assays,and renal tissues were removed for further molecular assays.The target gene for miR-630 was predicted using bioinformatics,and the association between miR-630 and toll-like receptor 4(TLR4)was confirmed using in vitro investigations and double luciferase reporter gene assays.Overexpression of miR-630 in DKD rats led to changes in body weight,renal weight index,basic blood parameters and histopathological changes.RESULTS The expression level of miR-630 was reduced in the kidney tissue of rats with DKD(P<0.05).The miR-630 and TLR4 expressions in rat renal TECs(NRK-52E)were measured using quantitative reverse transcription polymerase chain reaction.The mRNA expression level of miR-630 was significantly lower in the high-glucose(HG)and HG+mimic negative control(NC)groups than in the normal glucose(NG)group(P<0.05).In contrast,the mRNA expression level of TLR4 was significantly higher in these groups(P<0.05).However,miR-630 mRNA expression increased and TLR4 mRNA expression significantly decreased in the HG+miR-630 mimic group than in the HG+mimic NC group(P<0.05).Furthermore,the levels of tumor necrosis factor-alpha(TNF-α),interleukin-1β(IL-1β),and IL-6 were significantly higher in the HG and HG+mimic NC groups than in NG group(P<0.05).However,the levels of these cytokines were significantly lower in the HG+miR-630 mimic group than in the HG+mimic NC group(P<0.05).Notably,changes in protein expression were observed.The HG and HG+mimic NC groups showed a significant decrease in E-cadherin protein expression,whereas TLR4,α-smooth muscle actin(SMA),and collagen IV protein expression increased(P<0.05).Conversely,the HG+miR-630 mimic group exhibited a significant increase in E-cadherin protein expression and a notable decrease in TLR4,α-SMA,and collagen IV protein expression than in the HG+mimic NC group(P<0.05).The miR-630 targets TLR4 gene expression.In vivo experiments demonstrated that DKD rats treated with miR-630 agomir exhibited significantly higher miR-630 mRNA expression than DKD rats injected with agomir NC.Additionally,rats treated with miR-630 agomir showed significant reductions in urinary albumin,blood glucose,TLR4,and proinflammatory markers(TNF-α,IL-1β,and IL-6)expression levels(P<0.05).Moreover,these rats exhibited fewer kidney lesions and reduced infiltration of inflammatory cells.CONCLUSION MiR-630 may inhibit the inflammatory reaction of DKD by targeting TLR4,and has a protective effect on DKD.
文摘针对具有电、氢充能需求的高速公路服务区内的多能源负荷需求及服务区与周边生活垃圾处理需求,提出一种全可再生能源供能的"无废"电-氢充能服务区多源微网模型。首先,在电制氢、燃料电池、热解炉等多能源转换与存储设备的能量输入输出特性模型基础上,建立无废充能服务区多源微网(zero-waste charging service area multi-energy microgrid,ZWSA-MEMG)模型;其次,研究ZWSA-MEMG中多种能源转换、存储特性及多能流协调关系,建立基于高速公路充能服务区多源微网功率平衡、充能时间、多源负荷供能可靠性、可提供的电网调节性能等约束下的运行成本优化模型及其求解方法。最后,以我国西北某高速服务区实际多能源运行数据为基础,建立"无废"电-氢充能服务区多源微网优化运行仿真模型,算例仿真结果表明,该文提出的ZWSA-MEMG优化运行模型可有效提升具有垃圾处理能力的电-氢充能多能源系统的经济性,并可为电网提供较好的调节特性。
