以肠道外症状为首发表现的结肠癌47例临床分析

目的:分析以肠道外症状为首发表现的结肠癌临床特征,旨在提高结肠癌诊治水平.方法:收集我院1994年1月至2008年1月间以肠道外症状为首发表现的结肠癌47例,对其临床特点进行回顾性分析.结果:47例以肠道外症状为首发表现的结肠癌中位发病年龄为65岁;贫血症状多见,占78.7％(37/47),长期低热3例,肝转移瘤4例,肺转移瘤2例,皮肌炎1例;肿瘤多发生于右半结肠,占74.5％(35/47);病理类型:乳头状腺癌为主,占61.7％(29/47);Dukes分期:B期占44.7％(21/47),C期占42.6％(20/47);结肠镜是重要诊断方法,结肠镜与钡灌肠有互补优势;手术是主要治疗手段,综合治疗可延长患者生存期.结论:以肠道外症状为首发表现的结肠癌以贫血多见,病变多位于右半结肠,结肠镜是主要确诊方法,以手术为主的综合治疗可改善患者预后.     

杂色鲍头触角的显微与亚显微结构

本文采用光镜和电镜方法,研究了杂色鲍(Haliotisdiversicolor)头触角的显微和亚显微结构。结果表明,杂色鲍头触角的表皮布满乳头状突起,突起表面布满微绒毛,顶端具纤毛。头触角作为重要的感觉器官之一,具触觉兼嗅觉功能,其上皮为特殊的感觉上皮,其组成细胞主要包括三种类型:支持细胞、感觉细胞、腺细胞。头触角表皮之下的成分为平滑肌纤维和疏松结缔组织,疏松结缔组织里含胶原纤维、成纤维细胞、肥大细胞、微孔细胞、变形细胞等成分。     

胃溃疡对大鼠胃中HAP1表达的影响

建立冰乙酸性大鼠胃溃疡模型,采用ABC法进行免疫组织化学染色,观察并探讨胃溃疡对胃壁中HAP1(huntingtin as-soc iated protein 1,HAP1)表达的影响。结果溃疡组大鼠胃壁中HAP1阳性细胞数目及光密度与正常进食的大鼠相比显著增多。     

白色污染的治理及其展望

针对白色污染的危害及其严重性,综述了治理白色污染的重要技术,并对社会上使用的纸餐具以及相关可降解产品进行了探讨,最后提出要想彻底解决白色污染问题,就必须政策和技术并重。     

实验动物皮肤病原真菌检测方法的改良

目的对实验动物皮肤病原真菌2种培养方法进行了比较。方法将采集到的3只皮肤真菌感染病兔样品经由沙氏平皿法和沙氏试管斜面培养法分别进行培养。结果在3只真菌感染病兔中应用试管斜面法我们只检测到1例皮肤病原真菌阳性,而采用沙氏平皿法3例阳性全部检出。结论结合临床检测经验,我们认为本研究的沙氏平皿法优于沙氏试管斜面法,在实验动物皮肤病原真菌常规检测中具有推广应用价值。     

截短的人精子特异性乳酸脱氢酶L178X突变体丧失催化活性

精子特异性乳酸脱氢酶(乳酸脱氢酶C4,LDH-C4)是精子能量代谢的关键酶类之一.为了研究前期发现的1个LDH-C4基因突变(L178X)对LDH-C4功能的影响,在已构建的LDH-C4原核表达载体pET-28a(+)-hLDHC的基础上,利用PCR定点诱变技术,制备了L178X突变体的原核表达载体pET-28a(+)-hLDHC/L178X,将其转化大肠杆菌BL21(DE3)plysS,诱导其表达.对该载体进行限制性酶切表明,插入的LDHC基因cDNA约1000bp;序列分析表明,该插入片段读框正确,带L178X突变.SDS-PAGE及免疫印迹显示,携带该载体的菌体可表达分子量约25kD的蛋白质,后者可被兔抗LDH-C4血清特异识别.乳酸脱氢酶(LDH)活性测定及活性染色表明,所表达的产物没有LDH活性.本研究成功进行了LDH-C4的1个突变体的原核表达,为研究LDHC基因突变对LDH-C4功能以及男性生育的影响奠定了基础.     

Compression or tension? The stress distribution in the proximal femur

Background  

Questions regarding the distribution of stress in the proximal human femur have never been adequately resolved. Traditionally, by considering the femur in isolation, it has been believed that the effect of body weight on the projecting neck and head places the superior aspect of the neck in tension. A minority view has proposed that this region is in compression because of muscular forces pulling the femur into the pelvis. Little has been done to study stress distributions in the proximal femur. We hypothesise that under physiological loading the majority of the proximal femur is in compression and that the internal trabecular structure functions as an arch, transferring compressive stresses to the femoral shaft.     

A spatial analytical approach for selecting reintroduction sites for burbot in English rivers

1. Availability of suitable habitat is a prerequisite for species reintroduction success, and to ensure population persistence, investigations of a species’ habitat utilisation throughout its life history should be conducted as part of a feasibility study. 2. Habitat utilisation models for burbot, Lota lota, developed using data from field studies conducted in France and Germany and information from the literature were used to assess the feasibility of reintroducing burbot into rivers of its former native range in eastern England. 3. Per cent tree roots, aquatic vegetation and flow types were important predictors of adult burbot abundance. Furthermore, the habitat utilisation models were supplemented with information from the literature, which suggested that off‐channel habitat such as wetlands and backwaters is important for spawning and nursery stages. 4. An assessment of the habitat availability in the rivers of the burbot’s former native range using variables related to spawning and nursery and adult life stages showed that although adult habitat was widely distributed, the availability of spawning and nursery habitat was less abundant, potentially limiting successful reestablishment. 5. Potential suitable habitat was concentrated in the central and southern areas of the species’ former English distribution. Overall, rivers of the burbot’s former range potentially afford suitable habitat to sustain a reintroduced population. However, sites should be preferentially selected on the basis of having appropriate spawning and nursery areas.     

基于稀疏表示算法的蛋白质质谱数据特征选择

高维、小样本数据的特征选择方法在蛋白质质谱数据处理分析领域有着广泛应用。本文针对蛋白质质谱特征选择问题,结合稀疏表示这一新理论框架,提出了一种基于稀疏表示的特征选择算法(sparse representation based feature selection,SRFS)。该方法将稀疏表示分类的结果作为评定某一个特征子空间特征相对重要性的度量,然后通过对大量随机采样子空间计算结果的统计,得到特征空间中每个特征的排序,并进一步分析提炼出与肿瘤疾病相关的若干谱峰。通过在卵巢癌公共数据集OC-WCX2a和浙江省肿瘤医院乳腺癌数据集BC-WCX2a上的实验结果表明,SRFS算法可以有效应用于本文所使用的SELDI-TOF蛋白质质谱数据的分析。