目的采用Meta分析方法系统评价针灸治疗糖尿病周围神经病变的临床疗效。方法通过检索CNKI、万方、VIP、CBM及Pub Med数据库,收集针灸治疗糖尿病周围神经病变的随机对照试验,采用Rev Man 5.3软件进行Meta分析。结果共纳入文献7篇,患者累...目的采用Meta分析方法系统评价针灸治疗糖尿病周围神经病变的临床疗效。方法通过检索CNKI、万方、VIP、CBM及Pub Med数据库,收集针灸治疗糖尿病周围神经病变的随机对照试验,采用Rev Man 5.3软件进行Meta分析。结果共纳入文献7篇,患者累计546例。Meta分析结果显示,针灸可显著的提高糖尿病周围神经病变患者正中神经、胫神经的运动及感觉神经的传导速度。结论针灸治疗糖尿病周围神经病变的疗效确切。展开更多
Based on an epidemic model which Manvendra and Vinay [Mathematical model to simulate infections disease, VSRD-TNTJ 3(2) (2012) 60 68] have proposed, we consider the dynamics and therapeutic strategy of a SEIS epid...Based on an epidemic model which Manvendra and Vinay [Mathematical model to simulate infections disease, VSRD-TNTJ 3(2) (2012) 60 68] have proposed, we consider the dynamics and therapeutic strategy of a SEIS epidemic model with latent patients and active patients. First, the basic reproduction number is established by applying the method of the next generation matrix. By means of appropriate Lyapunov functions, it is proven that while the basic reproduction number 0 〈 R0 〈 1, the disease-free equilibrium is globally asymptotically stable and the disease eliminates; and if the basic reproduction number R0 〉 1, the endemic equilibrium is globally asymptotically stable and therefore the disease becomes endemic. Numerical investigations of their basin of attraction indicate that the locally stable equilibria are global attractors. Second, we consider the impact of treatment on epidemic disease and analytically determine the most effective therapeutic strategy. We conclude that the most effective therapeutic strategy consists of treating both the exposed and the infectious, while treating only the exposed is the least effective therapeutic strategy. Finally, numerical simulations are given to illustrate the effectiveness of the proposed results.展开更多
With the development of proteomics and epigenetics,a large number of RNA-binding proteins(RBPs)have been discovered in recent years,and the inter-action between long non-coding RNAs(lncRNAs)and RBPs has also received ...With the development of proteomics and epigenetics,a large number of RNA-binding proteins(RBPs)have been discovered in recent years,and the inter-action between long non-coding RNAs(lncRNAs)and RBPs has also received increasing attention.It is extremely important to conduct in-depth research on the lncRNA-RBP interaction network,especially in the context of its role in the occurrence and development of cancer.Increasing evidence has demonstrated that lncRNA-RBP interactions play a vital role in cancer progression;there-fore,targeting these interactions could provide new insights for cancer drug discovery.In this review,we discussed how lncRNAs can interact with RBPs to regulate their localization,modification,stability,and activity and discussed the effects of RBPs on the stability,transport,transcription,and localization of lncRNAs.Moreover,we explored the regulation and influence of these inter-actions on lncRNAs,RBPs,and downstream pathways that are related to can-cer development,such as N6-methyladenosine(m6A)modification of lncRNAs.In addition,we discussed how the lncRNA-RBP interaction network regulates cancer cell phenotypes,such as proliferation,apoptosis,metastasis,drug resis-tance,immunity,tumor environment,and metabolism.Furthermore,we sum-marized the therapeutic strategies that target the lncRNA-RBP interaction net-work.Although these treatments are still in the experimental stage and various theories and processes are still being studied,we believe that these strategiesmay provide new ideas for cancer treatment.展开更多
文摘目的采用Meta分析方法系统评价针灸治疗糖尿病周围神经病变的临床疗效。方法通过检索CNKI、万方、VIP、CBM及Pub Med数据库,收集针灸治疗糖尿病周围神经病变的随机对照试验,采用Rev Man 5.3软件进行Meta分析。结果共纳入文献7篇,患者累计546例。Meta分析结果显示,针灸可显著的提高糖尿病周围神经病变患者正中神经、胫神经的运动及感觉神经的传导速度。结论针灸治疗糖尿病周围神经病变的疗效确切。
文摘Based on an epidemic model which Manvendra and Vinay [Mathematical model to simulate infections disease, VSRD-TNTJ 3(2) (2012) 60 68] have proposed, we consider the dynamics and therapeutic strategy of a SEIS epidemic model with latent patients and active patients. First, the basic reproduction number is established by applying the method of the next generation matrix. By means of appropriate Lyapunov functions, it is proven that while the basic reproduction number 0 〈 R0 〈 1, the disease-free equilibrium is globally asymptotically stable and the disease eliminates; and if the basic reproduction number R0 〉 1, the endemic equilibrium is globally asymptotically stable and therefore the disease becomes endemic. Numerical investigations of their basin of attraction indicate that the locally stable equilibria are global attractors. Second, we consider the impact of treatment on epidemic disease and analytically determine the most effective therapeutic strategy. We conclude that the most effective therapeutic strategy consists of treating both the exposed and the infectious, while treating only the exposed is the least effective therapeutic strategy. Finally, numerical simulations are given to illustrate the effectiveness of the proposed results.
基金supported by the National Key Research andDevelopment Programof China(2021YFC2501000 and 2017YFA0505100)and the National Natural Science Foun-dation of China(31961160727,81973339,and 81773085).
文摘With the development of proteomics and epigenetics,a large number of RNA-binding proteins(RBPs)have been discovered in recent years,and the inter-action between long non-coding RNAs(lncRNAs)and RBPs has also received increasing attention.It is extremely important to conduct in-depth research on the lncRNA-RBP interaction network,especially in the context of its role in the occurrence and development of cancer.Increasing evidence has demonstrated that lncRNA-RBP interactions play a vital role in cancer progression;there-fore,targeting these interactions could provide new insights for cancer drug discovery.In this review,we discussed how lncRNAs can interact with RBPs to regulate their localization,modification,stability,and activity and discussed the effects of RBPs on the stability,transport,transcription,and localization of lncRNAs.Moreover,we explored the regulation and influence of these inter-actions on lncRNAs,RBPs,and downstream pathways that are related to can-cer development,such as N6-methyladenosine(m6A)modification of lncRNAs.In addition,we discussed how the lncRNA-RBP interaction network regulates cancer cell phenotypes,such as proliferation,apoptosis,metastasis,drug resis-tance,immunity,tumor environment,and metabolism.Furthermore,we sum-marized the therapeutic strategies that target the lncRNA-RBP interaction net-work.Although these treatments are still in the experimental stage and various theories and processes are still being studied,we believe that these strategiesmay provide new ideas for cancer treatment.