目的 分析克罗恩病的临床特点、内镜表现、病理特点、误诊原因，为克罗恩病的诊治提供临床经验。 方法 回顾性分析河南省人民医院2004年1月－2011年12月38例克罗恩病临床特点，并对误诊情况及原因进行分析。 结果 38例小肠克罗恩病患者，症状主要表现为腹痛、腹泻及便血。病变多位于末端回肠和回盲部，最常见的并发症为肠梗阻。结肠镜下可见节段性黏膜充血水肿、铺路石样改变、多发不规则溃疡；病理示全壁性炎症、深裂隙状纵行溃疡及非干酪性肉芽肿。克罗恩病的诊断主要依靠内镜及病理。 结论 克罗恩病临床表现复杂多样，临床误诊、漏诊情况较为多见，需进一步提高对克罗恩病的认识。
目的 通过检测异染色质蛋白1α（HP1α）在DNA损伤后的磷酸化状况，介绍一种用磷酸化标签(phos-tag)试剂检测磷酸化蛋白质的新方法。 方法 取雄雌C57小鼠交配后孕13.5 d胚胎，分离并原代培养小鼠胚胎成纤维细胞。对照组及实验组(6个损伤时间点)各取2个100 mm培养皿的细胞进行实验，实验组细胞用喜树碱进行DNA损伤；对照组用等量的二甲基亚砜处理。用掺入phos-tag的十二烷基硫酸钠-聚丙烯酰胺凝胶电泳分离蛋白并转印，将膜用抗HP1α的抗体孵育，用偶联辣根过氧化物酶的抗体做二抗，通过成像系统检测蛋白。 结果 实验组存在一条与HP1α有明显不同迁移率的磷酸化HP1α条带，与对照组相比DNA损伤后磷酸化HP1α含量一过性增多。 结论 HP1α被DNA损伤诱导为磷酸化状态，提示其可能在DNA修复过程中扮演重要角色。 Phos-tag 蛋白质印迹法可采用普通抗体检测磷酸化的蛋白，是一种简便易行的检测未知磷酸化蛋白质的新方法。
The purpose of this study is to investigate the effects of self-assembling peptide GFS-4 on three-dimen-sional myocardial cell culture and tissue repair of myocardial infarction. The circular dichroism (CD) spectrum was used to detect secondary structure of GFS-4, and atomic force microscope (AFM) was used to analyze the microstructure of self-assembly. The nanofiber scaffolds self-assembled by GFS-4 were used as the three-dimensional culture material to observe the growth effect of cardiomyocytes. The model of myocardial infarction was established and the effect of GFS-4 on myocardial infarction was studied. The results indicated that self-assembling peptide GFS-4 could form mainly β-sheet structure that can form dense nanofiber scaffolds after 24 hours’ self-assembling. The myocardial cells had a favorable growth status in GFS-4 nanofiber scaffold hydrogel when cells treated in three-dimen-sional cell culture. The experiment of repairing myocardial infarction in vitro proved that peptide GFS-4 hydrogel scaffold could alleviate tissue necrosis in a myocardial infarction area. As a new nanofiber scaffold material, self-assembling peptide GFS-4 can be used for three-dimensional cell culture and tissue repairing in myocardial infarction area.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.