医学摘要翻译-儿科翻译

原文
目的：通过检测PAI-1及vWF在肥胖及MS儿童青少年血清中的表达，探讨儿童青少年MS与ECD的关系，方法：收集2011年2月-2012年2月期间于天津医科大学总医院儿科内分泌门诊就诊的肥胖儿童病例共90例，其中单纯性肥胖30例，诊断为代谢综合征的30例，并随机抽取同年龄健康查体的正常对照儿童30例。测量身高（H）、体重(W)、腰围、臀围、血压，计算体质指数（BMI），检测血总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白(LDL)、高密度脂蛋白(HDL)以及进行糖耐量实验(OGTT)。采用酶联免疫吸附法(ELISA)测定所有受试者空腹静脉血血清PAI-1、vWF的水平。比较三组之间各指标的水平，进行统计学分析，对MS组血清PAI-1、vWF水平与体格测量参数及糖脂代谢各指标进行相关分析。结果：1.MS组的PAI-1及vWF水平显著高于对照组，差异具有统计学意义（P<0.05）。2. 单纯性肥胖组血清PAI-1水平显著高于对照组，差异有统计学意义（P﹦0.003），血清vWF与对照组比较差别无统计学意义（P=0.556）。3. 相关性分析显示PAI-1浓度与体重、BMI、腰围、腰臀比、TC、TG、LDL、FPG、FINS、SBP、DBP呈正相关（P<0.05），与HDL呈负相关（P<0.05），与臀围无相关性（P=0.251）。结论：1.儿童青少年MS合并ECD，血管内皮的这种病理生理改变可能在尚未发生MS的单纯性肥胖患儿中就已存在。PAI-1及vWF可以作为临床中预测早期血管改变的指标。2.儿童青少年MS存在的ECD可能与肥胖(尤其是腹型肥胖)、血脂、血糖、血压均相关，而FPG、TC、TG可能是ECD的独立危险因素。
译文
Objective: To investigate the association between metabolic syndrome (MS) and vascular endothelial cell dysfunction (ECD) in adolescents. Methods: Sixty obesity children received inpatient visiting to the General Hospital of Tianjin Medical University from February 2011 to February 2012 were included. Among these patients, there were 30 obesity children and 30 patients were diagnosed with MS. Thirty healthy subjects were randomly selected as the control group. A series of indices including height, body weight, waist circumference, hip circumference, waist/hip circumference, body mass index, total cholesterol, triglyceride, low density lipoprotein, and high density lipoprotein were evaluated. Von Willebrand factor (vWF) and plasminogen activator inhibitor-1 (PAI-1) were determined using enzyme linked immunosorbent assay (ELISA). Correlation analysis between the height, body weight, waist circumference, hip circumference, waist/hip circumference, body mass index, total cholesterol, triglyceride, low density lipoprotein, high density lipoprotein and PAI-1 as well as vWF was performed. Results: Significant increase of vWF and PAI-1 was noted in MS group compared with control group (P<0.05). For the adolescents in the obesity group, significant increase of PAI-1 was noted compared with control group (P<0.05). No statistical difference was noted in vWF in obesity group compared with control group. With regard to the correlation analysis, PAI was positively associated with body mass index, waist circumference, waist/hip circumference, TC, TG, LDL, FPG, FINS, SBP, and DBP, respectively (P<0.05). In addition, PAI was negatively associated with HDL (P<0.05). Conclusions: PAI-1 and vWF could be used as the biomarkers for the prediction of ECD. ECD emerged in those with MS may be associated with obesity, blood fat, blood sugar, and blood pressure. FPG, TC and TG may be the risk factors for ECD.