芦荟凝胶多糖对急性放射性皮肤损伤模型的修复作用及机制研究

目的研究芦荟凝胶多糖基于磷脂酰肌醇3-激酶(PI3K)-蛋白激酶B(Akt)-雷帕霉素靶蛋白(mTOR)信号通路对急性放射性皮肤损伤模型的修复作用。方法选取40只雄性Wistar大鼠,10只为正常组(等体积生理盐水),其余30只建立急性放射性皮肤损伤模型,随机分为模型组、低剂量组、高剂量组,每组10只。模型组和正常组均给予等体积生理盐水干预,低剂量组、高剂量组分别以单层纱布浸润0.4 mg/mL、0.8 mg/mL的芦荟凝胶多糖外敷干预。记录创面愈合时间、放射性皮肤损伤评级,检测创面微血管密度、血管内皮生长因子(VEGF)含量,病理学观察创面组织细胞形态,Western blot检测PI3K-Akt-mTOR信号通路相关蛋白表达。结果低剂量组和高剂量组创面愈合时间均短于模型组,且高剂量组创面愈合时间显著短于低剂量组(P<0.05);与模型组相比,正常组大鼠0级较多,Ⅳ级较少;低剂量组和高剂量组大鼠Ⅳ级较少(P<0.05)。模型组、低剂量组、高剂量组创面微血管密度、VEGF、PI3K、Akt蛋白表达量低于正常组,mTOR蛋白表达量高于正常组;低剂量组、高剂量组创面微血管密度、VEGF、PI3K、Akt蛋白表达量高于模型组,mTOR蛋白表达量低于模型组;高剂量组创面微血管密度、VEGF、PI3K、Akt蛋白表达量高于低剂量组,mTOR蛋白表达量低于低剂量组。结论高剂量芦荟凝胶多糖可通过调控PI3K-Akt-mTOR信号通路促进急性放射性皮肤损伤模型创面新生血管形成,加快创面修复。     

星点设计-效应面法优化白鲜皮多糖硫酸酯化工艺及抗氧化活性

目的 利用星点设计-效应面法优化白鲜皮多糖（Dictamnus dasycarpus polysaccharide,DDP）硫酸酯化工艺,考察DDP修饰前后结构特征及抗氧化活性。方法 采用氯磺酸-吡啶法,以酯化试剂比例、酯化试剂与多糖溶液比例、反应温度、反应时间为自变量,硫酸根取代度（degree of substitution,DS）为因变量,对自变量各水平进行多元回归拟合,利用效应面法筛选最佳工艺并进行预测分析;采用红外光谱及扫描电镜观察其结构特点。测定硫酸酯化白鲜皮多糖（sulfated polysaccharides from Dictamnus dasycarpus,SDDP）对DPPH、OH·、O₂^-·清除能力,考察其抗氧化活性。结果 最佳工艺条件为酯化试剂比例1：4,酯化试剂与多糖溶液比例1：1,反应温度73℃,反应时间5 h。红外光谱显示SDDP在820 cm^-1和1 254 cm^-1附近出现C-O-S和S=O硫酸基特征吸收峰,表明DDP修饰成功;扫描电镜显示SDDP表面粗糙,排列紧密,且块状体积明显小于DDP;DDP和SDDP都有清除DPPH、OH·和O₂^-·能力,且SDDP对DPPH、OH·和O₂^-·清除率强于DDP。结论 星点设计-效应面法优化DDP硫酸酯化工艺方法简便且预测性良好,DDP经硫酸酯化后,抗氧化活性有所提高。     

黄芪多糖纳米粒的构建及特征

目的：借助纳米技术制备成APS纳米粒。方法：根据离子交联原理制备APS纳米粒。通过红外吸收光谱分析、粒径、Zeta电位,表征其物理特性,并将该纳米粒与大鼠心肌细胞共培养,评价细胞相容性。结果：该药物的红外吸收光谱在618.3 cm-1处出现特征吸收峰,平均粒径为112.4 nm,Zeta电位为（41.0±0.21）mV,与H9c2细胞共培养后细胞活力无显著性变化（P=0.557）。结论：制成APS纳米粒,此纳米粒粒径分布均匀,性质稳定,具有良好的细胞相容性。     

分子量对海参岩藻聚糖硫酸酯在体内吸收的影响

目的 利用高温高压降解法制备两种不同分子量的岩藻聚糖硫酸酯,探究口服不同分子量的海参岩藻聚糖硫酸酯的吸收特性。方法 采用分子排阻凝胶色谱法、离子高效液相色谱法,检测海参硫酸多糖高温高压降解前后分子量、硫酸根含量的变化,并利用PMP柱前衍生-高效液相色谱法测定岩藻聚糖硫酸酯的单糖组成,以及大鼠血清中单糖的变化。结果 口服低分子量海参岩藻聚糖硫酸酯后,大鼠血清中岩藻糖和半乳糖的吸收速度和最大浓度明显高于中分子量岩藻聚糖组,血清中甘露糖、氨基葡萄糖的含量也显著上升,血清中氨基半乳糖的含量略有上升。而口服中、低分子量岩藻聚糖硫酸酯都能够降低血清中葡萄糖的含量。结论 分子量低于10 kDa的低分子量岩藻聚糖具有很好的体内的吸收率,适合于开发口服岩藻聚糖功能产品。     

Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis

The application of solid-state (SS) nanopore devices to single-molecule nucleic acid sequencing has been challenging. Thus, the early successes in applying SS nanopore devices to the more difficult class of biopolymer, glycosaminoglycans (GAGs), have been surprising, motivating us to examine the potential use of an SS nanopore to analyze synthetic heparan sulfate GAG chains of controlled composition and sequence prepared through a promising, recently developed chemoenzymatic route. A minimal representation of the nanopore data, using only signal magnitude and duration, revealed, by eye and image recognition algorithms, clear differences between the signals generated by four synthetic GAGs. By subsequent machine learning, it was possible to determine disaccharide and even monosaccharide composition of these four synthetic GAGs using as few as 500 events, corresponding to a zeptomole of sample. These data suggest that ultrasensitive GAG analysis may be possible using SS nanopore detection and well-characterized molecular training sets.

Glycosaminoglycans (GAGs) are linear anionic polysaccharides found on cell surfaces and in the extracellular matrix in all animals. GAGs comprise an important class of biopolymers that are ubiquitous in nature and exhibit a number of critical functional roles including biological recognition and signaling (1–3). Such processes play critical roles in physiology, such as in development and wound healing, and pathophysiology, such as cancer and infectious disease. Sulfated GAGs result from template-independent synthesis in the Golgi of animal cells (4, 5) and are polydisperse, heteropolysaccharides comprising variable disaccharide repeating units that are classified by these repeating units. Like nucleic acids, sulfated GAGs are made up of repeating units that comprise a linear sequence (Fig. 1). Unlike the nucleic acids, GAGs have far more complicated structures and number of possible sequences and they present severe challenges to both synthesis and characterization. Thus, we undertook to chemoenzymatically synthesize defined GAGs and characterize these using solid-state nanopore analysis.Open in a separate windowFig. 1.Structures of four synthetic GAG samples. Polysaccharide NSH is made up of N-sulfoglucosamine (GlcNS) and glucuronic acid (GlcA),NS2S is made up with GlcNS and 2-O-sulfo-iduronic acid (IdoA2S), NS6S is made up with 6-O-sulfo-N-sulfoheparosan (GlcNS6S) and GlcA, and NS6S2S is made up with GlcNS6S and IdoA2S.Despite their structural complexities, sulfated GAGs often contain well-defined domain structures that are responsible for their diverse biological functions, yet even this level of structural complexity poses a significant general challenge to structural analysis and sequencing. The simple, short-chain, chondroitin sulfate GAG component of bikunin has been sequenced using liquid chromatography–tandem mass spectrometry (LC-MS/MS) (6). While LC-MS/MS is capable of sequencing such simple, short-chain GAGs, it is not yet able to distinguish all of the many isobaric isomers of the variably sulfated saccharide residues and uronic acid epimers commonly encountered in more structurally complex GAGs, such as heparan sulfate (HS) (7). NMR has been applied to determine GAG structures but often requires milligram amounts of samples. HS/heparin is made up of →4)-β-d-glucuronic acid (GlcA) [or α-l-iduronic acid (IdoA)] (1→4)-α-d-glucosamine (GlcN) [1→ repeating units with 2-O-sulfo (S) groups on selected uronic acid residues and 3- and/or 6-O-S and N-S or N-acetyl (Ac) group substitutions on the glucosamine residues] (Fig. 1). GAG structural analysis presents challenges beyond their chemical complexity. There are no amplification methods to detect small numbers of GAG chains, whereas nucleic acid analysis can rely on PCR. Similarly, there are few GAG-specific antibodies or aptamers (8), and no natural GAG chromophores or fluorophores (9), in contrast to the many used for protein sensing. Ultrasensitive (zeptomole) detection methods of modified GAGs, based on fluorescence resonance energy transfer (FRET) (10), DNA bar coding (11), and dye-based nanosensors (12) have been demonstrated, but their application to sequencing is particularly challenging because of the high level of structural complexity of sulfated GAGs.Nanopore single-molecule detection is now routinely applied to DNA (13, 14) and RNA (15–17) biopolymers, and is increasingly applied to protein characterization (18–22). In brief, a nanopore is a nanofluidic channel ∼10 nm long and <100 nm in diameter, serving as the sole fluid connection between two reservoirs of electrolyte separated by an otherwise impermeable membrane (Fig. 2A). On applying a voltage across this nanopore, the passage of supporting electrolyte ions results in a “baseline,” or open-pore current, i₀. The passage of a biopolymer analyte through this nanopore disrupts the flow of supporting electrolyte ions, often as a current blockage. This temporary reduction in ionic current is called an “event,” and its magnitude (mean blockage ratio over the dwell time, ⟨f_b⟩=⟨i⟩_Td/⟨i₀⟩) and its temporal features [dwell time (Td)] (Fig. 2 B and C) depend on the size and shape of the nanopore, the biopolymer analyte, and the applied voltage and interfacial charge distributions. Indeed, the passage of DNA through engineered protein nanopore devices produces current blockages that can be applied in sequencing, and the widespread use of these commercial protein nanopore DNA sequencing devices is increasing (23, 24). Despite this success with protein nanopores, the potential benefits of (abiotic) solid-state (SS) nanopores have continued to drive development efforts. Such a transition to the freely size-tunable SS platform (25, 26), however, is vital for the application of nanopores to the characterization of branched glycans (27). Yet the use of SS nanopores in even the better-established DNA sensing regime remains challenging. The application of nanopore sensing to glycans, while promising, remains profoundly exploratory using nanopores of any kind. The transition to the SS nanopores is accompanied by significant changes in pore geometry, chemistry, characteristics, and potential analyte–pore interactions and sensing modalities, so that there is a critical need for studies in the realm of nanopore glycomics (27, 28). For example, outcomes of early nanopore studies on a structurally simple unsulfated GAG, hyaluronan (HA, →4)- β -GlcA (1 → 3)- β -GlcNAc (1→), while providing some information on HA size does not provide definitive structural information (29, 30). SS nanopore analysis of two sulfated GAGs, heparin and a heparin contaminant, oversulfated chondroitin sulfate, using a silicon nitride SS nanopore was able to qualitatively identify these GAGs by either the magnitude or duration of characteristic current blockages (28). SS nanopore data on GAGs, analyzed using a machine-learning (ML) algorithm (i.e., a support vector machine [SVM]), distinguished heparin and chondroitin sulfate oligosaccharides and unfractionated heparin and low molecular weight heparin with >90% accuracy (31).Open in a separate windowFig. 2.Nanopore characteristics of four samples. (A) Schematic of the nanopore configuration. Anionic GAGs driven by electrophoresis to and through the pore with a negative applied voltage would be detected if they perturbed the open-pore current. (B) A representative current trace and events from polysaccharide NS6S2S test using an ∼6-nm-diameter nanopore. Measurements were collected using a −150-mV applied-voltage (details in Results and Discussion, and Materials and Methods) (C) Scatter plots of dwell time vs. current blockage ratio for four polysaccharides. To remove the bias of event numbers in human image recognition, all plots contain only the first 2,475 events. (D) PCA visualization of the embedded images from the four unique GAGs. The blue circles and region represent NSH, the red X and region represents NS2S, the green triangle and region represents NS6S, and the brown cross and region represents NS6S2S. The algorithm clusters signals from each GAG based on scatter plot images. Each insert shows one 500-events image from each sample class. All 500-events images are in SI Appendix, Fig. S12.Nanopore studies on GAGs, and glycans more broadly, have been severely limited by the lack of a library of structurally defined standards. The uniformity of sulfated GAGs prepared from animal sources is difficult to control and exhibits significant sequence heterogeneity and polydispersity (32). HS is particularly problematic as even for a small HS hexasaccharide, composed of an IdoA/GlcA:GlcNS/GlcNAc sequence with 12 available sites for random sulfation, there are 32,768 possible sequences. Recently, chemoenzymatic synthesis has made inroads in the preparation of high-purity sulfated HS GAGs from heparosan (→4)- β -GlcA (1→4)- β -GlcNAc (1→) (33). HS GAGs of approximately the same chain length and polydispersity and having a single repeating disaccharide unit (SI Appendix, Table S1) including, NSH (→4)- β -GlcA (1→4)- β -GlcNS (1→), NS2S (→4)-α α -IdoA2S (1 → 4)- β -GlcNS (1→), NS6S (→4)- β -GlcA (1→4)- β -GlcNS6S(1→)), NS6S2S (→4)- α -IdoA2S (1→4)- β -GlcNS6S (1→) have been prepared (see Materials and Methods and ref. 34) (Fig. 1). Here we use our recently developed synthetic technique, which has proven difficult to benchmark, in conjunction with a nanopore technique, which has only just begun to be applied to glycomics and has been severely challenged by the lack of available high-quality samples, to develop a fully integrated approach for the nanopore analysis of complex carbohydrates.     

黄连多糖不同组分抗氧化活性比较研究

目的研究黄连粗多糖和带电量不同的黄连多糖组分的抗氧化活性。方法用二乙氨乙基纤维素(阴离子交换柱层析)分离纯化除蛋白后的黄连粗多糖,用Fenton法、邻苯三酚自氧化法和2,2-二苯基-1-苦味肼基(2,2-diphenyl-1-picrylhydrazyl,DPPH)分析法测定黄连粗多糖及纯化后带电量不同的多糖组分体外抗氧化作用。结果经阴离子交换柱层析,可获得4种带电量不同的黄连多糖组分,且这4种组分和黄连粗多糖对羟自由基、超氧阴离子和DPPH都有一定的清除作用,其中带电量高的组分对不同抗氧化模型均具有较高的清除作用。结论黄连多糖有一定的抗氧化活性,其抗氧化活性和其带电量具有正相关性。     

Effects of Polygonatum sibiricum polysaccharide on the osteogenic differentiation of bone mesenchymal stem cells in mice

Polygonatum sibiricum polysaccharide (PSP) is a traditional Chinese medicine and is widely used to treat many diseases for hundreds of years conventionally. This study was to access the effects of PSP on the osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) in the mice. Cells collected from BALB/C mice in the bone marrow were isolated and cultured with osteogenic medium (OM) with different concentrations of PSP. The proliferation and morphological changes of BMSCs were observed using an inverted microscope. Flow cytometric analysis was used to identify the BMSCs. MTT test was performed to analyze the proliferation and viability of the cells. ELISA was used to determine the expression levels of alkaline phosphatase (ALP), osteocalcin (OC), N-terminal propeptide of type I procollagen (PINP) and bone morphogenetic protein-2 (BMP-2). Immunocytochemistry and western blot were respectively used to determine the expressions of bone sialoprotein (BSP) and SPARC/osteonectin (OSN). The growth curves of the proliferation and differentiation of the Control, OM, 17β-E₂ and PSP groups were increased. Compared to the Control and OM groups, the expression levels of ALP, OC, PINP and BMP-2 were significantly increased in the PSP induced group (P<0.05). Immunocytochemistry and western blot showed that BSP and SPARC were increased after induction of PSP compared to the OM group (P<0.05). The study demonstrates that PSP promotes the proliferation and enhances the viability of BMSCs during osteogenic differentiation. Therefore, PSP may be a potential treatment of osteoporosis in the clinic.     

Acidic polysaccharide of Panax ginseng regulates the mitochondria/caspase-dependent apoptotic pathway in radiation-induced damage to the jejunum in mice

Owing to its susceptibility to radiation, the small intestine of mice is valuable for studying radioprotective effects. When exposed to radiation, intestinal crypt cells immediately go through apoptosis, which impairs swift differentiation necessary for the regeneration of intestinal villi. Our previous studies have elucidated that acidic polysaccharide of Panax ginseng (APG) protects the mouse small intestine from radiation-induced damage by lengthening villi with proliferation and repopulation of crypt cells. In the present study, we identified the molecular mechanism involved. C57BL/6 mice were irradiated with gamma-rays with or without APG and the expression levels of apoptosis-related molecules in the jejunum were investigated using immunohistochemistry. APG pretreatment strongly decreased the radiation-induced apoptosis in the jejunum. It increased the expression levels of anti-apoptotic proteins (Bcl-2 and Bcl-X_S/L) and dramatically reduced the expression levels of pro-apoptotic proteins (p53, BAX, cytochrome c and caspase-3). Therefore, APG attenuated the apoptosis through the intrinsic pathway, which is controlled by p53 and Bcl-2 family members. Results presented in this study suggest that APG protects the mouse small intestine from irradiation-induced apoptosis through inhibition of the p53-dependent pathway and the mitochondria/caspase pathway. Thus, APG may be a potential agent for preventing radiation induced injuries in intestinal cells during radio-therapy such as in cancer treatment.     

Interactions between the intestinal microbiota and innate lymphoid cells

The mammalian intestine must manage to contain 100 trillion intestinal bacteria without inducing inappropriate immune responses to these microorganisms. The effects of the immune system on intestinal microorganisms are numerous and well-characterized, and recent research has determined that the microbiota influences the intestinal immune system as well. In this review, we first discuss the intestinal immune system and its role in containing and maintaining tolerance to commensal organisms. We next introduce a category of immune cells, the innate lymphoid cells, and describe their classification and function in intestinal immunology. Finally, we discuss the effects of the intestinal microbiota on innate lymphoid cells.