“Smart” Materials for Biosensing Devices: Cell-Mimicking Supramolecular Assemblies and Colorimetric Detection of Pathogenic Agents

Mimicking cell membrane and the biomolecular recognition associated with membranes represents a great technical challenge, yet it has opened doors to innovative diagnostic and therapeutic methods. Our work has focused on design and synthesis of a class of smart materials exploiting biological principals for use in biosensors: these materials are functional polymeric assemblies that mimic the cell membrane and conveniently report the presence of pathogens with a color change. Biologically active cell membrane components are incorporated into conjugated polymers with desirable optical properties and the binding of the target molecules onto the material triggers conformational and electronic shifts that are reflected in a chromatic change (a so-called biochromic shift) that is conveniently observed and recorded. Langmuir–Blodgett thin films and vesicle bilayers provide ideal configurations for precise delivery of the biological binding entity to the sensing interface, and for control of molecular orientation for effective biomolecular interaction. Polydiacetylenic membrane-mimicking materials containing cell surface receptor gangliosides and sialic acid residues, respectively were formulated into these architectures and used for colorimetric detection of bacterial toxins and influenza virus. One advantage of these biochromic conjugated polymer (BCP) sensors is that their molecular recognition and signal transduction functionalities are resident in a single functional unit, making them amenable to convenient microfabrication and use.     

贫困大学生希望特质、应对方式与情绪的结构方程模型研究

目的:探讨贫困大学生的希望特质、应对方式对抑郁和幸福感的影响及其途径.方法:以369名贫困大学生为研究对象,采用成人希望特质量表.应对方式问卷,抑郁自评量表(SDS)和幸福感指数,用结构方程模型探讨希望特质和应对方式对情绪的影响途径.结果:希望特质对抑郁的影响符合不完全中介模型(x2/df=-1.862,GFI=0.980,CFI=0.985,RMSEA=0.048),希望特质对抑郁的直接影响占总影响的78.7％;希望特质对幸福感的影响符合完全中介模型(x2/df=2.101,GFI=0.976,CFI=0.979,RMSEA=0.055),以积极应对方式为中介的影响占总影响的89.3％.结论:希望特质是调节贫困大学生情绪的重要心理因素.希望特质对抑郁和幸福感的影响遵循不同的模式.     

低强度脉冲电磁场对大鼠骨质疏松的影响

目的：观察低强度脉冲电磁场（pulsed electromagnetic fields，PEMFs）对去卵巢诱导骨质疏松症的大鼠生化指标和骨应力的影响。方法：雌性SD大鼠30只，随机等分为3组（n=10），分别为假手术组（Sham）、骨质疏松模型组（Model）、脉冲电磁场照射组（PEMFs）。经适应4wk后，在25mg·Kg^-1戊巴比妥钠腹腔麻醉下，Model组和PEMFs组摘除双侧卵巢．Sham组找到但不切除卵巢。各实验组均在相同环境下饲养，模型制备4wk后开始治疗，由GZY型低强度低频率脉冲电磁场发生仪产生低频脉冲磁场，根据实验要求，我们使用亥姆霍兹线圈形成均匀磁场，PEMFs组经照射刺激治疗，频率14．3Hz，场强2Gs．日照8h。Model组和Sham组正常饲养。治疗8wk后，对各组大鼠血清、尿液中ALP和Ca以及骨应力进行检测。结果：（1）ALP、Ca检测结果：与Model组相比，PEMFs组ALP值、Ca值差异均有统计学意义（P〈0．05）。其中，血清中ALP值，Model组为（275．16±228，57），PEMFs组为（179．30±87．68）；Ca值，Model组为（2，66±0，13），PEMFs组为（2．52±0．05）。（2）骨应力检测结果：Model组为（923．60±34．15Pa），PEMFs组为（1152．85±118，20Pa），组间差异有统计学意义（P〈0．05）。结论：研究发现，PEMFs对于促进骨重建、提高Ca吸收和骨应力恢复具有积极作用。     

The effect of an intercollegiate soccer game on maximal power performance.

The effect of a competitive soccer match on maximal power performance was assessed on 19 members of an NCAA Division III female soccer team. Performance testing occurred within 24 hours prior to the game (Pre), immediately postgame (IP), and 24 hours postgame (24P). Each subject performed a squat jump (SJ) and countermovement jump (CMJ). Comparisons between starters (n = 10) and nonstarters (n = 9) revealed no between-group differences in power performance at IP, but starters were found to have significantly lower power and force measures at 24P than nonstarters. There were significant correlations between playing time and peak force during the SJ at 24P (r = -0.47), and between playing time and peak power during the SJ at IP (r = -0.57) and 24P (r = -0.51), and during the CMJ at IP (r = -0.49). Comparisons between different positions revealed no differential fatigue patterns. Results of this study show that power performance appears to be maintained for the duration of a soccer match but declines significantly within 24 hours after the match. Position played does not appear to affect performance decrements seen at 24 hours postmatch.     

HLA-DR、DQ等位基因与精神分裂症相关性的研究

目的 证明HLA-DR、DQ等位基因与精神分裂症的发病密切相关。方法 HLA-DR、DQ等位基因检测：PCR-SSP分型。结果 发现在大连地区随机选择的精神分裂症患者的HLA-DQ8基因的频率(9．0％)明显高于正常对照(2．5％)。精神分裂症患者的HLA-DR、DQ等位基因的某些位点与免疫指标的改变有相关性。结论 ①HLA-DQ8基因与精神分裂症有关联，可以认为HLA-DQ8基因可能是精神分裂症的易感基因。②HLA-DR、DQ等位基因的某些组合可能是精神分裂症发病的危险组合模式，对预测精神分裂症的基因易感性具有潜在的应用价值。③精神分裂症的免疫指标的改变与HLA-DR、DQ等位基因的某些位点有相关性，说明精神分裂症与它的免疫指标的变化可能有内在的联系。     

PBX1基因剪切体表达与SLE的相关研究

了解PBX1基因各种剪切体的表达在SLE患者和正常人中是否存在差异 ,探讨PBX1的表达与SLE发病的相关性。通过PCR扩增及毛细管芯片电泳 ,确证剪切体h、k、l存在于人体 ;通过实时荧光定量PCR技术 ,对剪切体h、k、l分别进行SLE患者组和正常组的mRNA表达定量比较。结果发现这 3种剪切体在患者组中的表达较正常人明显降低 ,正常人的表达是SLE的 9～ 12倍。重度患者的k、l剪切体与轻中度的病人相比表达明显降低 ,并发狼疮性肾炎的病人k剪切体的表达较无肾累及的病人显著降低。说明PBX1基因剪切体h、k、l在SLE患者中mRNA表达水平下降 ,并与SLE活动度及肾累及有关。提示机体通过PBX1的表达量的调节可能参与SLE的发病     

胰腺癌P53蛋白表达与AgNORs量及组织学分级的关系

目的：研究胰腺癌P53蛋白表达与癌细胞核仁组成区嗜银蛋白（AgNORs）量及组织学分级的关系。方法：用免疫组织化学法检测56例胰腺癌组织及25例正常胰腺组织中突变型P53蛋白的表达； AgNORs染色技术检测胰腺癌细胞的AgNORs含量；观察肿瘤的组织学分级。结果： 56例胰腺癌中P53蛋白表达阳性28例（50％），正常胰腺细胞均为阴性，P53蛋白在胰腺癌组织和正常胰腺组织中的表达有显著差异(P<0.01)。28例P53蛋白阳性的胰腺癌组织，AgNORs计数为9.14±2.08；28例P53蛋白阴性的胰腺癌中，AgNORs计数为5.99±1.84，二者有显著差异（P<0.01）。P53蛋白表达与肿瘤组织学分级呈显著负相关。不同的组织学分级之间，AgNORs计数有显著差异（P<0.01）。结论：胰腺癌发生发展的过程包含了〖STBX〗p53〖STBZ〗基因的突变。P53蛋白表达和AgNORs含量可反映胰腺癌的恶性程度，是一个有效的判断胰腺癌预后的指标。     

巢蛋白和阶段特异性胚胎抗原-1在大鼠2型星形胶质细胞中的表达

目的 观察1型和2型星形胶质细胞(T1A、T2A)是否表达神经干细胞的标志物、是否具有神经干细胞的特性.方法 取新生大鼠脑皮质,体外培养纯化的O-2A祖细胞、T1A和T2A,应用激光共焦双重免疫荧光标记技术检测巢蛋白和阶段特异性胚胎抗原-1(SSEA-1)的表达;观察O-2A祖细胞、 T1A和T2A在碱性成纤维生长因子(bFGF)和表皮生长因子(EGF)的培养液中生长方式的改变.结果 巢蛋白在O-2A祖细胞和T2A中表达,T1A不表达;SSEA-1仅在T2A中表达.在干细胞培养基中培养10d,T2A形成能增殖和连续传代的细胞球,细胞球巢蛋白标记阳性,贴壁后分化细胞具有神经元、星形胶质细胞和少突胶质细胞样形态;但相同培养条件下的O-2A祖细胞和T1A生长方式无改变.结论 巢蛋白和SSEA-1在两型星形胶质细胞中的表达存在差异,T2A具有神经干细胞的某些生物学特性.     

人肿瘤细胞与正常细胞内微管的PAP免疫酶细胞化学观察

我们利用兔抗微管蛋白抗体和兔抗辣根过氧化物酶(HRP)抗血清制备的HRP—抗HRP(PAP)复合物,建立了微管的PAP免疫酶细胞化学方法。应用此法观察到人食管癌ECa 109、胃癌SGC 7901,乳腺癌MCF 7和成骨肉瘤OS 732细胞间期胞质微管减少或消失,只有大量弥散分布的微管蛋白棕色反应产物,在微管组织中心(MTOC)附近十分密集,而正常成纤维细胞和胎儿胃粘膜上皮细胞间期,都有发达的胞质微管结构(CMTC)。在分裂期,这些肿瘤细胞都显示纺锤体微管,与正常细胞比较无明显差异。本研究应用PAP方法进一步证明,以前用免疫荧光细胞化学方法观察到的人肿瘤细胞间期胞质微管缺陷的特征。除去低温(4℃)或秋水仙酰胺处理后,解聚的CMTC又可恢复,表明本方法与免疫荧光染色法,同样具有很高的特异性。本工作在细胞固定及免疫反应的某些步骤上有所改进。     

Detection and deletion of motion artifacts in electrogastrogram using feature analysis and neural networks

Electrogastrogram is a surface measurement of gastric myoelectrical activity, and electrogastrography has been an attractive method for physiological and pathophysiological studies of the stomach due to its nonivasive nature. Motion artifacts, however, ruin the electrogastrogram (EGG), and make the analysis very difficult and sometimes even impossible. They must be eliminated from EGG signals before analysis. Up to now, this can only be done by visual inspection, which is not only time-consuming but also subjective. In this study, a method using feature analysis and neural networks has been developed to realize automatic detection and elimination of the motion artifacts in EGG recordings by computer. Experiments were conducted to investigate the characteristics of different motion artifacts. Useful features were extracted, and different combinations of the features used as the input of the neural network were compared to obtain the optimal performance for the detection of motion artifacts using the artificial neural network.