鋅α2糖蛋白指數(shù)—評價胰島素敏感性的簡易指標(biāo)
[Abstract]:The first part explores the relationship between zinc alpha 2 glycoprotein and insulin sensitivity in obese subjects with different glucose tolerance Objective: To explore the relationship between zinc glycoprotein (ZAG) and insulin sensitivity (IS) in obese subjects with different glucose tolerance. Sixty-seven obese patients with impaired glucose tolerance and 83 obese patients with type 2 diabetes mellitus were enrolled in the study. Oral glucose tolerance test (OGTT), oral glucose insulin release test (OGIRT) and anthropometric and clinical parameters were measured. Free ZAG levels were measured by enzyme-linked immunosorbent assay (ELISA). T test was used to compare ZAG, anthropometric indicators and clinical indicators in different disease groups; secondly, linear correlation analysis and partial correlation analysis were used to explore the correlation between ZAG and homeostasis model insulin resistance index (HOMA-IR), anthropometric indicators and clinical indicators; secondly, multiple linear regression was used to explore the relationship between ZAG and insulin. Results: The waist circumference (WC), hip circumference (HC), waist-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), plasma glucose (2h-PG), HbA1c, total cholesterol (TC), triglyceride (TG), HOMA-IR, fasting serum insulin (FIns) and 2 h-postprandial serum insulin (2h-PG) in obese patients with type 2 diabetes mellitus were measured. Ins was higher than obesity with normal glucose tolerance (P 0.05 or P 0.01), whereas HDL-C and free ZAG levels were lower than obesity with normal glucose tolerance (P 0.01). After adjusting for sex and age, ZAG was negatively correlated with HOMA-IR. R = 0.583, P 0.01). Conclusion: ZAG is positively correlated with insulin sensitivity in obese patients with different degrees of glucose tolerance. Zinc glycoprotein index (ZAG index), i.e. Ln [Zinc alpha2 glycoprotein/homeostasis model insulin resistance index] (Ln [ZAG/HOMA-IR]), was compared with some existing indicators for assessing insulin sensitivity. ZAG index was used as a simple index for assessing insulin sensitivity (IS) in patients with polycystic ovary syndrome (PCOS). A total of 202 subjects including 102 PCOS patients and 100 normal controls were enrolled in the study. EHC was performed to assess insulin sensitivity. OGTT, OGIRT, anthropometric and clinical indices were detected. Levels of free ZAG and adiponectin (ADI) were measured by ELISA. Firstly, anthropometric and clinical indices were compared in PCO with t test. Statistical differences between S group and control group were compared, and ZAG index, HOMA-IR, ADI/HOMA-IR and other indicators in insulin resistance group and non-resistant group were compared. Secondly, the correlation between ZAG index and anthropometric indicators and clinical indicators was explored by partial correlation analysis, and ZAG index, HOMA-IR, ADI/HOMA-IR and other indicators were explored by partial correlation analysis. The relationship between ZAG index and M value was further explored by multivariate linear regression. Logistic regression was used to explore whether insulin sensitivity, ZAG index, ADI/HOMA-IR and other indices were protective factors or risk factors. The consistency between ZAG index and M value was analyzed. Finally, the effectiveness of ZAG index in diagnosing insulin sensitivity was evaluated by AUC and Youden index of ROC curve. The best cut-off point of ZAG index in diagnosing insulin sensitivity and the corresponding sensitivity and specificity were analyzed. On the contrary, TG / HDL - C, TyG, I / G, HOMA - IR in insulin resistance group were higher than those in non - insulin resistance group. Partial correlation suggested that the correlation coefficient between ZAG index and M value was (r = 0.779, P 0.01), not lower than that between HOMA - IR and ADI / HOMA - IR and M value (r = - 0.623, P 0.01) and (r = 0.604, P 0.01). The correlation coefficients of TyG (r = - 0.394, P 0.01), I / G (r = - 0.598, P 0.01) and TG / HDL - C (r = - 0.237, P < 0.01) with M value were not lower than those of TyG (r = - 0.394, P 0.01). Multivariate linear regression analysis suggested that YZAG index = 4.277 + 0.1 XM value - 0.079XFIns - 0.248 XFPG (R2 = 0.896, P 0.001) was a protective factor for insulin sensitivity, and logistic regression suggested that ZMAG index and ADI / HO were protective factors for insulin sensitivity. TyG.TG/HDL-C, HOMA-IR, and I/G were risk factors. Furthermore, in the consistency test between ZAG index and M value, the consistency coefficient of weighted K test was 0.502, and the Pearson contingency number r = 0.741. Finally, in the ROC curve analysis, the area under the curve (AUC) of ZAG index for insulin sensitivity diagnosis was close to 1 and not lower than the other indexes. The best cut-off point of ZAG index was 2.97, and the sensitivity and specificity were 87.8% and 90.8% respectively. Youden index was 0.786. Conclusion: ZAG index can be used as a simple index to evaluate the insulin sensitivity of PCOS patients.
【學(xué)位授予單位】:重慶醫(yī)科大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:R589.2;R587.1
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