目的 探讨血清生长分化因子-15(GDF-15)、趋化素(chemerin)、正五聚蛋白3(PTX3)水平与2型糖尿病(T2DM)患者肥胖、胰岛素抵抗及炎症因子的关系,并进行预测效能的构建及评价.方法 选取2020年2月至2022年9月该院收治的T2DM患者231例作为T2DM组.另选取同期来该院体检的健康者100例作为对照组.采用酶联免疫吸附试验法检测并比较两组血清GDF-15、chemerin、PTX3水平,收集两组临床资料并进行比较.采用Pearson相关性分析及多元线性回归分析血清GDF-15、chemerin、PTX3水平与肥胖、胰岛素抵抗及炎症指标的关系.采用多因素Logistic回归评估T2DM发生的独立危险因素,并构建血清GDF-15、chemerin、PTX3联合预测模型,绘制受试者工作特征(ROC)曲线评价其对T2DM发生的预测效能.结果 与对照组比较,T2DM组体重指数(BMI)、腰臀比(WHR)、收缩压、总胆固醇、甘油三酯、空腹血糖、空腹胰岛素(FINS)、胰岛素抵抗指数(HOMA-IR)、白细胞介素(IL)-1β、IL-6、GDF-15、chemerin、PTX3均升高,差异有统计学意义(P<0.05).Pearson相关性分析显示,T2DM组血清GDF-15、chemerin、PTX3水平与BMI、WHR、FINS、HOMA-IR、IL-1β、IL-6 呈正相关(P<0.05).多元线性回归分析显示,BMI、FINS、HOMA-IR、IL-1β、IL-6与血清GDF-15、chemerin、PTX3水平呈正相关(P<0.05).多因素Logistic回归分析结果发现,血清GDF-15、chemerin、PTX3水平升高是影响T2DM发生的独立危险因素(P<0.05).ROC曲线分析结果显示,血清GDF-15、chemerin、PTX3联合预测模型预测效能较好,其曲线下面积及灵敏度、特异度、准确度均高于各指标单独应用.结论 T2DM患者血清GDF-15、chemerin、PTX3水平升高,且其水平随着T2DM患者肥胖、胰岛素抵抗及炎症反应程度的加重而增加,该研究所构建的联合预测模型预测效能较好,对T2DM发生具有较高的预测价值.
Objective To explore the relationship between serum growth differentiation factor-15(GDF-15),chemerin,pentraxin 3(PTX3)levels and obesity,insulin resistance and inflammatory factors in patients with type 2 diabetes mellitus(T2DM),and to construct and evaluate the predictive efficacy.Methods A total of 231 T2DM patients admitted to the hospital from February 2020 to September 2022 were selected as T2DM group.Another 100 healthy subjects who came to the hospital for physical examination during the same period were selected as the control group.Serum GDF-15,chemerin and PTX3 levels of the two groups were detected and compared by enzyme-linked immunosorbent assay(ELISA).Clinical data of the two groups were collected and compared.Pearson correlation analysis and multiple linear regression were used to analyze the relationship between serum GDF-15,chemerin,PTX3 levels and obesity,insulin resistance and inflammation.Multivariate Logistic regression was used to evaluate the independent risk factors for T2DM development,and the com-bined prediction model of serum GDF-15,chemerin and PTX3 was constructed,and receiver operating charac-teristic(ROC)curve was plotted to evaluate its predictive efficacy for T2DM development.Results Compared with the control group,body mass index(BMI),waist-to-hip ratio(WHR),systolic blood pressure,total cho-lesterol,triglyceride,fasting blood glucose,fasting insulin(FINS),homeostasis model assessment of insulin re-sistance(HOMA-1R),interleukin(IL)-1β,IL-6,GDF-15,chemerin and PTX3 were all increased in T2DM group,and the differences were statistically significant(P<0.05).Pearson correlation analysis showed that se-rum GDF-15,chemerin and PTX3 levels were positively correlated with BMI,WHR,FINS,HOMA-IR,IL-1βand IL-6 in T2DM group(P<0.05).Multiple linear regression analysis showed that BMI,FINS,HOMA-IR,IL-1β and IL-6 were positively correlated with serum GDF-15,chemerin and PTX3 levels(P<0.05).Multiva-riate Logistic regression analysis showed that the increase of serum GDF-15,chemerin and PTX3 levels was an independent risk factor for T2DM development(P<0.05).ROC curve analysis results showed that the com-bined prediction model of serum GDF-15,chemerin and PTX3 had better prediction efficiency,and its area un-der the curve,sensitivity,specificity and accuracy were higher than those applied alone.Conclusion The levels of GDF-15,chemerin and PTX3 in serum of T2DM patients are elevated,and their levels increase with the ex-acerbation of obesity,insulin resistance and inflammatory response in T2DM patients.The combined predic-tion model constructed in this study has good predictive efficacy and has high predictive value for the occur-rence of T2DM.