皮肤晚期糖基化终末产物与正常糖调节人群颈动脉粥样硬化的相关性  

Association between skin advanced glycation end products and carotid atherosclerosis in population with normal glucose regulation

作　　者：龚一昕 洪海鸥 姚蓓 张元志[2] 张洋[2] 刘心记 郑浩然[1] 王贻坤[2] Gong Yixin;Hong Haiou;Yao Bei;Zhang Yuanzhi;Zhang Yang;Liu Xinji;Zheng Haoran;Wang Yikun(Health Management Center,the First Affiliated Hospital of University of Science and Technology,Hefei 230001,China;Hefei Institution of Physical Science,Chinese Academy of Sciences,Hefei 230022,China)

机构地区：[1]中国科学技术大学附属第一医院健康管理中心,合肥230001 [2]中国科学院合肥物质科学研究院,合肥230022

出　　处：《中华健康管理学杂志》2022年第2期99-104,共6页Chinese Journal of Health Management

基　　金：安徽省自然科学基金(1908085QH365);安徽省重点研究和开发计划专项(1804b06020350)。

摘　　要：目的探讨皮肤晚期糖基化终末产物(AGEs)与正常糖调节人群颈动脉粥样硬化(AS)的相关性。方法本研究为横断面研究。采用2019年1—6月中国科学技术大学附属第一医院健康管理中心健康体检者资料, 选取40~79岁正常糖调节体检者902例, 根据颈动脉超声结果分为对照组530例, IMT增厚组150例, 斑块组222例。分别收集体检者性别、年龄、收缩压、舒张压、体质指数(BMI)、三酰甘油(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、空腹血糖(FPG)、糖化血红蛋白(HbA1c)、AGEs等信息。采用ANOVA单因素方差分析进行多组间比较。以Logistic回归分析筛选颈动脉粥样硬化斑块发生的独立影响因素, 采用Spearman相关分析检验AGEs与变量的相关性。以受试者工作特征(ROC)曲线评价AGEs预测正常糖调节人群发生颈动脉粥样硬化斑块的效能。结果对照组、IMT增厚组、斑块组三组间性别、年龄、SBP、DBP、TC、LDL-C、FPG、HbA1c、AGEs差异均有统计学意义(均P<0.05);斑块组年龄、SBP、AGEs均高于IMT增厚组[55(50, 60)比53(49, 56)岁;132(122, 141)比126(115, 142)mmHg(1 mmHg=0.133 kPa);74(67, 81)比72(67, 78)AU](均P<0.001);IMT增厚组年龄、LDL-C、HbA1c、AGEs均高于对照组[53(49, 56)比48(45, 52)岁;(2.8±0.7)比(2.7±0.7)mmol/L;5.4%(5.2%, 5.6%)比5.4%(5.1%, 5.6%);72(67, 78)比70(66, 76)AU](均P<0.05)。年龄(OR=1.179, 95%CI:1.107~1.255)、SBP(OR=1.045, 95%CI:1.013~1.077)、LDL-C(OR=2.028, 95%CI:1.036~3.969)、AGEs(OR=1.049, 95%CI:1.000~1.100)是正常糖调节人群发生颈动脉粥样硬化斑块的独立影响因素(均P<0.05)。AGEs与年龄、HbA1c、颈动脉粥样硬化斑块均呈正相关(r=0.407、0.092、0.172)(均P<0.01)。皮肤AGEs预测正常糖调节人群颈动脉粥样硬化斑块的ROC曲线下面积为0.650(95%CI:0.601~0.698), 最佳截断值是70.5, 灵敏度为65.8%, 特异度为56.9%。结论正常糖调节人群皮肤AGEs水平与AS的�Objective To investigate the association between skin advanced glycation end products(AGEs)and carotid atherosclerosis(AS)in subjects with normal glucose regulation(NGR).Methods This was a cross-sectional study.Data from the Health Management Center of the First Affiliated Hospital of University of Science and Technology between January 2019 to June 2019 were collected.A total of 902 NGR subjects aged 40-79 were enrolled and categorized into control group(530 cases),carotid intima-media thickness(IMT)thickening group(150 cases),and carotid atherosclerosis plaque group(222 cases)based on the carotid ultrasound results.Data as follows were collected,gender,age,blood pressure,body mass index(BMI),triglyceride(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),fasting blood glucose(FPG),glycosylated hemoglobin(HbA1c)and skin AGEs.Comparison via ANOVA analysis were carried out among the 3 groups.Logistic regression analysis was used to screen the independent influencing factors of carotid atherosclerosis plaque.Spearman correlation analysis was used to evaluate the correlation between AGEs and other parameters,and receiver operating characteristic(ROC)curve was used to evaluate the efficiency of skin AGEs in predicting carotid atherosclerosis plaque in NGR subjects.Results Among the control group,IMT thickening group and carotid atherosclerosis plaque group,gender,age,systolic blood pressure(SBP),diastolic blood pressure(DBP),TC,LDL-C,FPG,HbA1c,AGEs were significantly different(all P<0.05).Compared with IMT thickening group,the age,SBP and AGEs of carotid atherosclerotic plaque group were higher[55(50,60)vs 53(49,56)year;132(122,141)vs 126(115,142)mmHg(1 mmHg=0.133 kPa);74(67,81)vs 72(67,78)AU](all P<0.001);compared with the control group,age,LDL-C,HbA1c and AGEs of IMT thickening group were higher[53(49,56)vs 48(45,52)year;(2.8±0.7)vs(2.7±0.7)mmol/L;5.4%(5.2,5.6)%vs 5.4%(5.1,5.6)%;72(67,78)vs 70(66,76)](all P<0.05).Age(OR=1.179,95%CI:1.107-1.255),SBP(OR=

关 键 词：动脉粥样硬化 颈动脉 皮肤 晚期糖基化终末产物 

分 类 号：R543.4[医药卫生—心血管疾病]