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目的研究脂肪细胞型脂肪酸结合蛋白(A-FABP)与代谢综合征(MS)的关系。方法选取2009年10月至2011年3月在上海市江湾医院住院和门诊的2型糖尿病(T2DM)患者,根据有无MS分为T2DM合并MS组(36例)和T2DM组(42例)。选择年龄、性别相匹配的健康体检者作为正常对照组(40例)。测量身高、体重、血压,测定3组的血清甘油三酯(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)、空腹胰岛素和A-FABP水平,计算稳态模型胰岛素抵抗指数(HOMA-IR)。结果与正常对照组([7.6±3.2)ng/ml]比较,T2DM组和T2DM合并MS组A-FABP水平[分别为(13.4±4.3)、(18.3±1.5)ng/ml]升高,差异有统计学意义(P<0.05)。T2DM合并MS组A-FABP水平高于T2DM组,差异有统计学意义(P<0.05)。Pearson相关分析结果表明,A-FABP与体质指数、收缩压、舒张压、FPG、HOMA-IR、TG、LDL-C呈正相关(r值分别为0.48、0.82、0.73、0.32、0.31、0.28、0.16,P<0.05),与HDL-C无相关性(P>0.05)。结论血清A-FABP与MS密切相关,可能成为MS的血浆生物标记。
Objective To study the relationship between adipocyte-type fatty acid-binding protein (A-FABP) and metabolic syndrome (MS). Methods Patients with type 2 diabetes mellitus (T2DM) hospitalized and outpatient in Jiangwan Hospital of Shanghai from October 2009 to March 2011 were enrolled. According to the presence or absence of MS, the patients were divided into two groups: MS group (36 cases) and T2DM group (42 cases) . Select the age and sex matched healthy physical examination as a normal control group (40 cases). The changes of body weight, blood pressure, blood pressure and triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL- FPG), fasting insulin and A-FABP levels were calculated. The homeostasis model insulin resistance index (HOMA-IR) was calculated. Results Compared with the normal control group ([7.6 ± 3.2] ng / ml], the level of A-FABP in T2DM group and T2DM combined with MS group [(13.4 ± 4.3) and (18.3 ± 1.5) ng / ml] There was statistical significance (P <0.05). The level of A-FABP in T2DM combined with MS group was higher than that in T2DM group, the difference was statistically significant (P <0.05). Pearson correlation analysis showed that A-FABP was positively correlated with body mass index, systolic blood pressure, diastolic blood pressure, FPG, HOMA-IR, TG and LDL-C , P <0.05), but not with HDL-C (P> 0.05). Conclusion Serum A-FABP is closely related to MS and may become a plasma biomarker of MS.