3-Oxodapagliflozin as a Potent and Highly Selective SGLT2 Inhibitor for the Treatment of Type 2 Diabetes

Structural modifications of 3-OH in the glucose moiety of dapagliflozin（1）, an approved potent sodium-dependent glucose transporter 2（SGLT2） inhibitor, led to 3-oxodapagliflozin（16）, a highly potent and more selective SGLT2 inhibitor[IC50（hSGLT1）/IC50（hSGLT2）=2851 for compound 16 vs. 843 for compound 1]. 3-Oxodapagliflozin（16） exhibited in vitro（IC50=1.0nmol/L against hSGLT2 for compound 16 vs. 1.3 nmol/L for compound 1） and in vivo activities comparable to those of dapagliflozin（1）. The bioactivities of 3-oxodapagliflozin （16） warrant its further evaluation as a promising SGLT2 inhibitor for the treatment of type 2 diabetes.     

Analysis of plant genomic DNAs and the genetic relationship among plants by using surface-enhanced Raman spectroscopy

The study aimed to distinguish genomic DNAs from nine species of plants belonging to six families and analyze their genetic relationship by using surface-enhanced Raman scattering (SERS). The silver nano-colloid and excitation wavelength of 785 nm used in this study yielded excellent quality of the SERS spectra. Raman signals were remarkably enhanced. Although the spectra for the nine species of plants appeared very similar, there were significant differences according to the analysis of variance analysis. There were three strong characteristic peaks. The peak at 625 cm⁻¹ was due to the vibration overlap of C3′-endo/anti deoxyribose, cytosine, and guanine; the one at 715 cm⁻¹ was due to the scissoring vibrations of C2N1C6 of adenine; and that at 1011 cm⁻¹ was due to the stretching vibration of the CO bond of deoxyribose and vibrations of cytosine. The SERS data were smoothed and standardized and evaluated using second derivative analysis, principal component analysis, and hierarchical cluster analysis. A model was established using the data from hierarchical cluster analysis and principal components of the second derivative. The clustering result of this model was highly consistent with the traditional classification of plants; all plant species investigated were correctly clustered into classes according to the cluster distance coefficient among them; the accuracy of clustering was 100%. Chinese cabbage (Brassica pekinensis Rupr.) and green cabbage (Brassica chinensis L.) belonging to Cruciferae, maize (Zea mays L.) and bamboo (Sinocalamus affinis McClure) belonging to Gramineae, and magnolia (Magnolia delavayi Franch.) and champaca (Michelia alba DC.) belonging to Magnoliaceae were clustered into three separate classes, and fern (Nephrolepis auriculata L., Nephrolepidaceae), garlic (Allium sativum L., Amaryllidaceae), and ginkgo (Ginkgo biloba L., Ginkgoaceae) were each clustered into separate classes. These findings suggest that the SERS spectra of plant genomic DNAs can be used to classify species and analyze their genetic relationship. It is an effective and perfect supplement to traditional classification and can form the basis for genetic analysis.     

A refined numerical model for determining inflation-burst behavior of composite membrane structures

The airship structures made of multi-layer composite fabrics or membranes can offer the platform for earth observations, wireless communications and space research due to light weight and good mechanical performance. The structural safety and serviceability strongly depend on material properties and working conditions. Available studies are limited within service stress limits or are lack of suitable biaxial tensile constitutive models for understanding structural behavior. This paper thus focuses on a refined numerical model for determining inflation-burst behavior of composite airship structures considering new biaxial constitutive equations, novel failure criteria and manufacture factors.The differences between ideal and real forms of airship structures, e.g. volume difference, demonstrate the necessity for incorporating cutting-pattern effects in the initial numerical model. For structural analysis, stress distributions on real structural forms are different from those on ideal forms because of welding parts that can enhance local stiffness. The ultimate pressures are 56.7 kPa and 59.5 kPa for ideal and real structural forms. Structural breaking initiated at the maximum diameter of ideal structural forms propagates fast while welding parts can prevent breaking propagation for real structural forms. Therefore, the refined numerical model can reveal basic structural behavior and safety performance of airship structures in the inflation-burst processes.     

Effect of working temperature on the interfacial behavior of overmolded hybrid fiber reinforced polypropylene composites

In the present study, the interfacial behavior of overmolded hybrid fiber reinforced polypropylene composites (hybrid composites) in the working temperature range from 23 °C to 90 °C was studied by experimental and constitutive methods. Monotonic and cycle loading-unloading single-lap-shear tests were employed to determine the interfacial properties of hybrid composites. The experimental results show that both interfacial shear strength and shear stiffness decrease with increasing working temperature. A regression function was adopted to evaluate the decaying degree of interfacial properties with increasing working temperature. The shear stress-displacement relationship under monotonic loading exhibits nonlinear behavior after an initial elastic region. The envelope lines of shear stress-displacement of hybrid composites under cyclic loading indicate that the nonlinearity in the curve is caused by the plastic deformation of polypropylene in the interphase region. A constitutive model was built to describe the nonlinear shear stress-displacement relation of hybrid composites at different working temperatures. A full suite of temperature-dependent plastic parameters in the model was obtained from cyclic loading-unloading tensile tests. The predicted shear stress–displacement curves agreed well with experimental results from different working temperatures. In addition, the failure mode of hybrid composites varied with working temperature.     

Au负载SBA-15分子筛上葡萄糖氧化反应

探讨了金与铝改性的SBA-15分子筛催化剂(Au-Al/SBA-15)上活性中心与葡萄糖氧化制葡萄酸反应性能的关系. 通过固体核磁共振波谱(ssNMR)、 X射线光电子能谱(XPS)、 紫外-可见光谱(UV-Vis)和透射电子显微镜(TEM)等手段对不同Au及Al含量的Au-Al/SBA-15催化剂进行了结构表征. 发现Al 改性能够在SBA-15载体上产生四配位Al物种, Au主要以单质的形式存在; SBA-15上的四配位Al物种具有稳定Au颗粒大小的作用. 通过对比发现, 催化剂上的Au和骨架四配位Al物种间的相互协作促进了对葡萄糖氧化的活性, 而非骨架Al物种会导致副反应的发生, 降低葡萄糖酸产物的选择性. 通过固体¹³C NMR揭示了反应体系中的NaOH能够将强吸附的产物葡萄糖酸分子从催化剂表面解离, 保持活性位不被覆盖进而促进反应持续进行.     

金属硫化物在可充电电池中的研究进展

低成本、长寿命、高安全性、高性能且易于大规模生产的锂/钠离子电池已被证实为重要的二次储能设备。 电极材料对锂/钠电池性能与循环寿命影响极大,金属硫化物由于具有高比容量和低电势而极具潜力成为锂/钠离子电池负极材料。 在电化学循环过程中,由于金属硫化物容易产生穿梭效应和体积变化,从而电极材料结构被破坏,进一步导致电池容量衰退、稳定性降低。 本文总结了多种金属硫化物的微观结构调控策略,从三维空间构建到与其它材料的复合,增强了电极的导电性和减缓体积变化带来的负面影响,进而获得性能优异的金属硫化物负极材料。 通过对金属硫化物的结构与性能的讨论,对其研究前景进行了积极的展望。     

长碳链聚酰胺及其共聚物的拉伸诱导结晶

长碳链聚酰胺(LCPA)作为聚酰胺的特殊品种,较长的亚甲基链和极性酰胺基团使其兼具聚烯烃和聚酰胺的双重特性.在加工或使用过程中,拉伸诱导结晶现象对长碳链聚酰胺及其共聚物的强度和弹性行为具有重要影响,深入认识其在外场下的微观结构响应对该材料的设计及制备具有重要意义.围绕拉伸诱导结晶作用,该专论主要基于本团队2010年以来在长碳链聚酰胺及其共聚物的拉伸诱导结晶工作,并综述了国内外的相关研究,涉及拉伸诱导结晶现象、拉伸诱导结晶的影响因素、拉伸诱导结晶与力学性能的构效关系及拉伸诱导结晶的表征方法等方面.     

通过FGF401的构效关系研究发现一种新颖的FGFR4选择性抑制剂

设计并合成了一系列FGF401类似物以研究其FGFR4抑制、抗肿瘤活性及其构效关系.研究发现了N-(5-氰基-4-(2-甲氧基乙基氨基)吡啶-2-基)-7-甲酰基-6-(N-甲基四氢吡喃-4-甲酰胺)甲基-1,2,3,4-四氢-1,8-萘啶-1-甲酰胺(8ac)不仅在酶和细胞学水平上对FGFR4具有强效的的抑制活性,并表现出了出色的选择性.其活性及选择性优于阳性对照FGF401,并且在HCC (hepatocellular carcinoma)动物移植瘤模型中显著抑制肿瘤生长,还引起了肿瘤萎缩.     

一种确定氧化数的新方法

氧化数是元素的重要性质,在无机化学中应用广泛。长期以来,确定元素氧化数主要根据桐山良一和鲍林等建立的规则,这些规则对于氧化数概念在化学中的推广普及起了很大的作用,但在遇到结构复杂或未知化合物时有时仍然会出现问题。本文根据IUPAC的氧化数定义提出,氧化数完全取决于成键两原子之间的电子供需关系,元素的最高正氧化数受到其原子价层电子数的限制,而元素的最低负氧化数受到同周期稀有气体元素外层电子数与其价层电子数差值的限制,据此建立了确定元素氧化数的新方法,该方法既不需要考虑分子结构,也不依赖元素氧化数的习惯规定,符合氧化数概念提出的初衷,简便易行,例外情况少,不仅适合大学化学教学,也适合中学化学教学。