神经生长因子治疗神经系统疾病的疗效观察

观察了神经生长因了治疗２０８例系统疾病的疗效。结果是ＮＧＦ治疗多发性硬化症效果最明显，其次为周围神经疾病，其他疾病疗效依次为脑梗塞，震荡麻痹，脊髓病。提示ＮＧＦ能保护神经元，促进神经细胞的分化，生长及神经外伤愈合等，具有明显的临床应用价值。     

微量元素与疾病诊断治疗的研究现状及展望

对国内外微量元素与疾病的关系及其诊断治疗的研究现状及研究动向进行了综述，包括：微量元素与地方病、癌肿、心血管病、糖尿病、眼病、神经系统病等。参考文献72篇。     

左旋多巴与帕金森氏病

帕金森氏病是一种典型的中老年疾病。本文介绍了左旋多巴的物化性质和分子的立体结构,概述了帕金森氏病的典型特征以及左旋多巴治疗帕金森氏病的机理和药理。     

头发微量元素分析与疾病诊断

检测头发中40多种微量元素可以判断人体内218种疾病： 1．判断内科疾病101种， 2．判断儿科疾病25种， 3．判断妇科疾病10种，     

阿尔茨海默氏病及其药物治疗研究进展

阿尔茨海默氏病(AD)是一种中枢神经系统进行性退变疾病,其病因仍未确定。文章综述了近年来AD的研究以及所出现的AD治疗药物的新进展。     

羊水中有机酸类代谢物的气相色谱-质谱研究

有机酸遗传代谢病是一类由于单基因或多基因变化导致的代谢障碍疾病。基因的变化通常表达为相应酶的缺失,严重影响人的智力发育。据watts等人的观察,1788例临床痴呆病患者中约有5％是因有机酸遗传代谢病造成的。虽然它的发病率不高,但由于目前对此病还缺乏有效的治疗方法,因而     

微量元素与防病治病

介绍了微量元素在防治疾病中的作用及对健康长寿的意义，涉及人体必需微量元素，有害元素，有机锗，微量元素是健康长寿的重要手段以及微量元素与现代文明病。     

论中药化学技术在中医风湿免疫的临床表现探究--评《中药化学技术》

风湿免疫科是医院内科学领域中的新兴的一种学科,主要研究和治疗风湿免疫类疾病。风湿疾病是一大类疾病,它主要指影响骨关节及周围软组织的一组疾病,风湿疾病的范畴,有弥漫性结缔组织病,如类风湿关节炎、系统性红斑狼疮、多肌炎、血管炎;还有脊柱关节病,如强直性脊柱炎、反应性关节炎、银屑病关节炎;还有退行性变,比如骨关节炎;还有代谢性疾病,比如痛风;还有非关节性风湿病,比如椎间盘突出等。     

微量元素与遗传性代谢病

综合了有关研究，对微量元素与遗传性代谢病之间的关系，从发病原因和治疗机理方面进行了分析，并对微量元素和基因的调控进行了初探，认为从非遗传的调控机制入手，研究微量元素的代谢机理，可能在遗传性代谢病发生和治疗上具有目前尚无法预见的潜力。     

常见消化病微量元素临床与实验研究

综述了微量元素与消化病之间的关系，包括：元素Cu，Zn，Fe,Mo，Cr，Mn,Ca，Se,Bi，Al,Mg与慢性胃病、消化性溃疡、食道癌、胃癌、肠道疾病的关系．     

微量元素与帕金森病

帕金森病是世界公认的第二大神经系统疾病,我国目前的患病人数已超过245万,已成为影响我国人口健康水平的重大社会问题。帕金森病的病因至今不清。该文在分析该病流行状况、危险因素的基础上,探讨了微量元素与帕金森病的相关关系,以及微量元素组学研究用于该病预警和早期诊断的可能性。     

Network-based ranking methods for prediction of novel disease associated microRNAs

BackgroundMany studies have shown roles of microRNAs on human disease and a number of computational methods have been proposed to predict such associations by ranking candidate microRNAs according to their relevance to a disease. Among them, machine learning-based methods usually have a limitation in specifying non-disease microRNAs as negative training samples. Meanwhile, network-based methods are becoming dominant since they well exploit a “disease module” principle in microRNA functional similarity networks. Of which, random walk with restart (RWR) algorithm-based method is currently state-of-the-art. The use of this algorithm was inspired from its success in predicting disease gene because the “disease module” principle also exists in protein interaction networks. Besides, many algorithms designed for webpage ranking have been successfully applied in ranking disease candidate genes because web networks share topological properties with protein interaction networks. However, these algorithms have not yet been utilized for disease microRNA prediction.MethodsWe constructed microRNA functional similarity networks based on shared targets of microRNAs, and then we integrated them with a microRNA functional synergistic network, which was recently identified. After analyzing topological properties of these networks, in addition to RWR, we assessed the performance of (i) PRINCE (PRIoritizatioN and Complex Elucidation), which was proposed for disease gene prediction; (ii) PageRank with Priors (PRP) and K-Step Markov (KSM), which were used for studying web networks; and (iii) a neighborhood-based algorithm.ResultsAnalyses on topological properties showed that all microRNA functional similarity networks are small-worldness and scale-free. The performance of each algorithm was assessed based on average AUC values on 35 disease phenotypes and average rankings of newly discovered disease microRNAs. As a result, the performance on the integrated network was better than that on individual ones. In addition, the performance of PRINCE, PRP and KSM was comparable with that of RWR, whereas it was worst for the neighborhood-based algorithm. Moreover, all the algorithms were stable with the change of parameters. Final, using the integrated network, we predicted six novel miRNAs (i.e., hsa-miR-101, hsa-miR-181d, hsa-miR-192, hsa-miR-423-3p, hsa-miR-484 and hsa-miR-98) associated with breast cancer.ConclusionsNetwork-based ranking algorithms, which were successfully applied for either disease gene prediction or for studying social/web networks, can be also used effectively for disease microRNA prediction.     

冠心病及高心病的Q-T离散度

为评价冠心病及高心病的Ｑ－Ｔ离散度的临床意义，观察了９７例冠心病、高心病患者的Ｑ－Ｔ离散度，并与９６例正常组对比。结果表明，冠心病，高心病患者的ＱＴｄ、Ｑ－Ｔｃｄ、Ｊ－Ｔｄ、Ｊ－Ｔｃｄ均比正常组延长，有显著差异，Ｐ〈０．０１。     

铝与人体健康

铝广泛地存在于自然界，由于其具有优良的理化性能，故普遍地用于工业、医药和日常生活中。从铝在体内的吸收、转运、贮存及分布，铝的生理机能，铝的毒性等方面，对铝与人体疾病的关系进行了综述。     

维持性血液透析患者血清铁调素水平与心血管疾病的关系研究

目的观察分析维持性血液透析患者血清铁调素水平与心血管疾病的关系。方法选择惠州市第三人民医院2014年12月至2016年12月期间收治的维持性血液透析患者54例作为观察组,包含20例患者出现心血管疾病,另外选择接受体检的健康人25例作为对照组。结果观察组患者的血清铁调素水平、晚期氧化蛋白物及IL-6均显著高于对照组,比较差异具有统计学意义(P0.05);观察组发生心血管疾病患者血清铁调素水平显著高于非心血管疾病患者,数据比较差异具有统计学意义(P0.05)。结论血液透析患者血清铁调素水平与心血管疾病具有相关性,即可作为血透患者发生心血管疾病的新的独立危险因素,但需要进一步验证。     

Hierarchical closeness efficiently predicts disease genes in a directed signaling network

BackgroundMany structural centrality measures were proposed to predict putative disease genes on biological networks. Closeness is one of the best-known structural centrality measures, and its effectiveness for disease gene prediction on undirected biological networks has been frequently reported. However, it is not clear whether closeness is effective for disease gene prediction on directed biological networks such as signaling networks.ResultsIn this paper, we first show that closeness does not significantly outperform other well-known centrality measures such as Degree, Betweenness, and PageRank for disease gene prediction on a human signaling network. In addition, we observed that prediction accuracy by the closeness measure was worse than that by a reachability measure, but closeness could efficiently predict disease genes among a set of genes with the same reachability value. Based on this observation, we devised a novel structural measure, hierarchical closeness, by combining reachability and closeness such that all genes are first ranked by the degree of reachability and then the tied genes are further ranked by closeness. We discovered that hierarchical closeness outperforms other structural centrality measures in disease gene prediction. We also found that the set of highly ranked genes in terms of hierarchical closeness is clearly different from that of hub genes with high connectivity. More interestingly, these findings were consistently reproduced in a random Boolean network model. Finally, we found that genes with relatively high hierarchical closeness are significantly likely to encode proteins in the extracellular matrix and receptor proteins in a human signaling network, supporting the fact that half of all modern medicinal drugs target receptor-encoding genes.ConclusionTaken together, hierarchical closeness proposed in this study is a novel structural measure to efficiently predict putative disease genes in a directed signaling network.     

硒与心血管疾病

介绍了硒的生物学特征及与心血管疾病的关系,包括：硒的生物学特征及作用,硒与自由基,硒与动脉粥样硬化,硒与冠心病,硒与克山病.     

冠心病与微量元素锌铜硒

以临床典型冠心病案为例，探讨了中医中药传统和微量元素关系，重点讨论了微量元素锌、铜、硒与冠心病的病因病理和治疗的关系。     

健康教育对盆腔炎患者的临床影响分析

目的分析健康教育对盆腔炎住院患者的积极影响。方法选取2013年4月—2014年11月江门市人民医院接收的87例盆腔炎患者为研究对象,将其分为对照组(44例)施以常规护理,观察组(43例)在对照组基础上进行健康教育,对两组患者的健康教育知识掌握程度、疗效及护理满意度进行比较。结果观察组疾病认知达标率为95.35%,对照组81.82%(P0.05);观察组总有效率为93.02%,对照组79.55%(P0.05)。结论健康教育可有效提高盆腔炎患者对疾病认知程度,提高治疗效果,进而增加护理满意度。     

Electrophoretic Determination of Formaldehyde in Human Urine: Application to Alzheimer’s Disease

The primary clinical diagnosis of Alzheimer’s disease is mainly based on medical history and neuropsychiatric inventory. It is urgent to seek biological indicators with better sensitivity and higher specificity to clinically diagnose and evaluate Alzheimer’s disease. In this work, an electrophoretic method based on 2-thiobarbituric acid derivatization and amperometric detection was developed to determine formaldehyde as a urinary biomarker of Alzheimer’s disease. Under the optimum conditions, the formaldehyde derivative was well separated from the coexisting interferences in urine sample. The limit of detection for formaldehyde was 80.0?nM (2.4?ng/?mL) based on an electrophoretic stacking technology. The average recovery values were in the range of 91.7–110%, and the relative standard deviation values were less than 4.1%. This method has been applied to analyze human urine samples from healthy volunteers and patients with different degrees of Alzheimer’s disease. The assay results showed that the content of urinary formaldehyde in patients suffering Alzheimer’s disease was significantly higher than that in healthy subjects (P?相似文献