The effects of curcumin supplementation on body mass index,body weight,and waist circumference in patients with nonalcoholic fatty liver disease: A systematic review and dose–response meta‐analysis of randomized controlled trials

Nonalcoholic fatty liver disease (NAFLD) is a major cause of liver‐related morbidity; its prevalence is elevating due to the rising epidemic of obesity. Several clinical trials have examined the effects of curcumin supplementation on anthropometric variables in NAFLD patients with inconclusive results. This dose–response meta‐analysis aimed to evaluate the impact of curcumin supplementation on body mass index (BMI), body weight, and waist circumference (WC) in patients with NAFLD. A systematic review of the literature was conducted using PubMed/Medline, ISI Web of Science, Scopus, Cochrane Library, EMBASE, Google Scholar, Sid.ir, and Magiran.com to identify eligible studies up to March 2019. A meta‐analysis of eligible studies was performed using the random‐effects model to estimate the pooled effect size. Eight randomized controlled trials with 520 participants (curcumin group = 265 and placebo group = 255) were included. Supplementation dose and duration ranged from 70 to 3,000 mg/day and 8 to 12 weeks, respectively. Curcumin supplementation significantly reduced BMI (weighted mean difference [WMD] = ?0.34 kg/m², 95% CI [?0.64, ?0.04], p < .05) and WC (WMD = ?2.12 cm, 95% CI [?3.26, ?0.98], p < .001). However, no significant effects of curcumin supplementation on body weight were found. These results suggest that curcumin supplementation might have a positive effect on visceral fat and abdominal obesity that have been associated with NAFLD.     

大花胡麻草环烯醚萜合酶基因的克隆与表达分析

目的克隆大花胡麻草环烯醚萜合酶基因(CgIS),并进行表达分析。方法以大花胡麻草根、茎、叶转录组中唯一的CgIS基因序列为基础,采用RT-PCR技术从大花胡麻草幼叶克隆CgIS基因,并进行组织特异性表达分析。结果大花胡麻草CgIS基因(GenBank登录号MH794270)全长1 185 bp,编码394个氨基酸;CgIS蛋白相对相对分子质量44 670,理论pI为6.17;该蛋白属于孕酮5β-还原酶(P5β-R)家族成员,可能定位于细胞质;该蛋白无信号肽,为亲水稳定蛋白,主要由α-螺旋(40.61%)和无规则卷曲(46.70%)构成;该蛋白具有SDR(短链脱氢酶/还原酶)和P5βR蛋白保守结构域;CgIS蛋白与芝麻SiIS蛋白亲缘关系最近;CgIS基因主要在叶中表达。结论克隆了CgIS基因,并对其进行表达分析,为进一步研究该基因的功能和环烯醚萜类的生物合成途径奠定基础。     

北京市养老机构老年人营养状况调查及其影响因素研究

背景　在人口老龄化日益加剧的社会背景之下，家庭养老功能不断减弱，机构养老成为今后发展的必然趋势。据报道，很多养老机构的老年人营养不合理，严重影响老年人的健康状况与生活质量。目的　通过调查北京市养老机构老年人营养现状及其影响因素，为全科医师营养教育及老年人生活质量提升提供理论依据。方法　2014年10月-2015年12月，采用方便整群抽样的方法，抽取了北京市7家养老机构，对符合纳入标准的老年人进行面对面问卷调查，问卷内容包括：一般情况、微型营养评定量表（MNA）、日常生活活动能力指数（BI）、老年人抑郁量表（GDS）。采用二元Logistic回归分析养老机构老年人营养状况的影响因素。结果　本研究共发放问卷258份，回收有效问卷258份，有效回收率为100%。被调查的258例老年人中，存在营养不良及存在营养不良发生风险的老年人共计75例（29.1%）。不同年龄、性别、婚姻状况、体质指数（BMI）、医疗费用支付方式、生活自理能力及精神状态的老年人营养状况比较，差异有统计学意义（P<0.05）。二元Logistic回归分析结果显示：年龄〔OR（95%CI）=2.349（1.070，5.156）〕、BMI〔OR（95%CI）=0.092（0.036，0.239）〕、医疗费用支付方式〔OR（95%CI）=0.208（0.083，0.522）〕、日常活动能力〔OR（95%CI）=10.214（3.099，33.669）〕、患病种数〔OR（95%CI）=2.682（1.248，5.763）〕及精神状态〔OR（95%CI）=4.822（2.005，11.600）〕是老年人营养状况的影响因素（P<0.05）。结论　北京地区养老机构的老年人面临着营养不良及营养不良发生风险的健康威胁，高龄、低BMI、抑郁、合并多种疾病、日常活动能力低下及无医保是其独立危险因素，需要对老年人加强个性化营养教育和营养治疗。     

护理教学查房在ICU教学中的临床应用效果分析

目的探讨护理教学查房在ICU教学中的临床应用效果。方法选定2018年1月-2019年1月来本院实习的100例学生,按照教学查房方法分为对照组(50例)与观察组(50例),前者采用传统教学查房方法,后者采用针对性教学查房方法。通过出科操作考试及理论考试后,比较2组实习学生的操作考核成绩、理论考核成绩指标。结果教学结束,观察组实习学生的操作考核成绩(94.11±3.54)分、理论考核成绩(85.74±5.39)分均高于对照组实习学生(P<0.05)。结论针对性教学查房方法可有效提高实习学生的操作考核成绩、理论考核成绩,改善其教学质量。     

可切除肺癌预后预测模型的构建及生存分析

目的 探讨构建的可切除肺癌预后预测模型在患者生存及预后预测中的价值。方法 选择山西省肿瘤医院2007年1月至2018年9月原发性肺癌患者2 267例,患者均行一次肺癌手术治疗,无第二原发肿瘤。选取性别、年龄、职业、肿瘤部位、病理类型、手术路径、手术方式、肿瘤分期、治疗方案为预后影响因素。采用Cox比例风险模型构建预后指数(PI)方程,计算每例患者的PI值。根据PI值的不同范围,划分低、中、高危预后组,对各组生存情况进行评估。结果 性别(RR=0.684,P=0.001)、年龄(RR=0.591,P<0.01)、职业(RR=1.439,P=0.001)、病理类型(RR=3.694,P<0.01)、手术路径(RR=0.734,P=0.001)、肿瘤分期(RR=0.352,P=0.007)为可切除肺癌患者预后独立影响因素。其中,女性、≤65岁、胸腔镜手术、肿瘤分期Ⅰ期为预后保护因素,其预后不良风险分别降低31.6%、40.9%、26.6%、64.8%;农民、腺鳞癌为预后危险因素,其预后不良风险分别增加43.9%、269.4%。PI方程为:∑βixi=-0.380 X1-0.526 X2+0.364 X31+1.307 X55-0.309 X6-1.045 X81(X1代表性别,X2代表年龄,X31代表职业为农民,X55代表病理类型为腺鳞癌,X6代表手术路径,X81代表肿瘤分期Ⅰ期)。PI<-1为低危组,PI≥-1且≤-0.5为中危组,PI>-0.5为高危组。1、3、5年生存率低危组分别为96.8%、87.0%、77.9%,中危组分别为91.8%、82.2%、61.7%,高危组分别为86.5%、61.7%、50.3%,各组间生存率差异具有统计学意义(P<0.05)。结论 可切除肺癌预后预测模型能够预测可切除肺癌患者的预后风险及相应生存率,帮助临床医师评估预后及制订后续治疗方案。     

Lower body mass index and higher height are correlated with increased varicocele risk

To evaluate the anthropometric indexes in subjects with varicocele compared to controls and the incidence of varicocele in different body mass index (BMI) groups for the purpose of exploring the association between varicocele and anthropometric indexes. A comprehensive literature search was conducted by using PubMed, MEDLINE, EMBASE databases and Cochrane Library up to February 2019. A systematic review and meta‐analysis was conducted by STATA, and Newcastle–Ottawa Scale was utilised for assessing risk of bias. Ultimately, 13 articles containing seven case–control studies and six cross‐sectional studies with 1,385,630 subjects were involved in our study. Pooled results demonstrated that varicocele patients had a lower BMI (WMD = ?0.77, 95% CI = ?1.03 to ?0.51) and a higher height than nonvaricocele participants, especially in grade 3 varicocele patients. Subgroup analyses showed that normal BMI individuals had a higher risk of varicocele than obese or overweight individuals and a lower risk than underweight individuals. In conclusion, this study indicates that varicocele patients have a lower BMI and a higher height than nonvaricocele participants. Moreover, men with excess bodyweight have a lower incidence of varicocele compared to normal weight or underweight people. That is to say, high BMI and adiposity protect against varicocele and high BMI is associated with a decreased risk of varicocele.     

Computer-generated vegan menus: The importance of food composition database choice

Precise data on food chemical composition is crucial for any quantitative nutrition research and indispensable for evaluation and planning of computer-based menus. Moreover, exact food chemical composition is of the utmost importance in composing specific diets that may be low in certain essential nutrients. Therefore, this research evaluated a weekly vegan menu using three different food composition databases (FCDB): the Croatian, the official Danish Food Composition Database and the United States Department of Agriculture (USDA) – National Nutrient Database for Standard Reference. Significant differences (p < 0.05) were determined in evaluated and optimised offers for the same menu when using different FCDBs. Furthermore, in these menus quantities of some nutrients have not reached official daily recommendations needed for prevention of non-communicable diseases. In this research, new vegan menus that can provide adequate quantity of essential nutrients, regardless of FCDB utilized, were created with linear optimisation (LO). This resulted in high quality daily menu offers. However, depending on the FCDB that was used, optimal menus differed in daily meal combinations, and the effectiveness of the optimisation in the minimisation of differences caused by differences of data in FCDBs was tested. Linear optimisation has been proved to be an effective tool in planning of specific diets, such as vegan diets. Nonetheless, the quality of computer-planned menus depends heavily on the quality of FCDB used.