Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort.
Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort.
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DOI：
10.2337/dc08-1935
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发表时间：
2009-07
期刊：
影响因子：
16.2
通讯作者：
Borch-Johnsen K
中科院分区：
文献类型：
--
作者：
Kolberg JA;Jørgensen T;Gerwien RW;Hamren S;McKenna MP;Moler E;Rowe MW;Urdea MS;Xu XM;Hansen T;Pedersen O;Borch-Johnsen K
这项研究的目的是从循环的候选生物标记物小组中开发一个模型来评估发生2型糖尿病的5年风险。受试者选自Inter99队列，这是一项基于人群的纵向研究，对∼6,600名丹麦人进行嵌套病例对照设计，主要结果是5年转化为2型糖尿病。研究对象为非糖尿病受试者，年龄39岁，基础体重指数≥≥为25 kg/m2。对160名2型糖尿病患者和472名非2型糖尿病患者的基线空腹血清样本进行了检测。超灵敏的免疫分析被用来测量多个糖尿病相关途径中的58个候选生物标记物，以及6个常规临床变量。使用统计学习方法和排列测试来选择信息量最大的生物标志物。使用经过验证的Bootstrap偏差校正程序来评估风险模型的性能。一个使用6个生物标志物(脂联素、C反应蛋白、铁蛋白、白细胞介素2受体A、葡萄糖和胰岛素)的模型被开发出来，用于评估个人5年内患2型糖尿病的风险。该模型曲线下的Bootstrap估计面积为0.76，大于A1C、空腹血糖、空腹胰岛素、BMI、性别调整腰围、空腹血糖和胰岛素模型以及无创临床模型。包含6个循环生物标记物的模型提供了对发生2型糖尿病的5年风险的客观和定量估计，比单一风险指标和非侵入性临床模型表现更好，并提供了比单纯空腹血糖更好的分层。
The purpose of this study was to develop a model for assessing the 5-year risk of developing type 2 diabetes from a panel of 64 circulating candidate biomarkers. Subjects were selected from the Inter99 cohort, a longitudinal population-based study of ∼6,600 Danes in a nested case-control design with the primary outcome of 5-year conversion to type 2 diabetes. Nondiabetic subjects, aged ≥39 years, with BMI ≥25 kg/m2 at baseline were selected. Baseline fasting serum samples from 160 individuals who developed type 2 diabetes and from 472 who did not were tested. An ultrasensitive immunoassay was used to measure of 58 candidate biomarkers in multiple diabetes-associated pathways, along with six routine clinical variables. Statistical learning methods and permutation testing were used to select the most informative biomarkers. Risk model performance was estimated using a validated bootstrap bias-correction procedure. A model using six biomarkers (adiponectin, C-reactive protein, ferritin, interleukin-2 receptor A, glucose, and insulin) was developed for assessing an individual's 5-year risk of developing type 2 diabetes. This model has a bootstrap-estimated area under the curve of 0.76, which is greater than that for A1C, fasting plasma glucose, fasting serum insulin, BMI, sex-adjusted waist circumference, a model using fasting glucose and insulin, and a noninvasive clinical model. A model incorporating six circulating biomarkers provides an objective and quantitative estimate of the 5-year risk of developing type 2 diabetes, performs better than single risk indicators and a noninvasive clinical model, and provides better stratification than fasting plasma glucose alone.
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影响因子：
158.5
作者：
Knowler, WC;Barrett-Connor, E;Nathan, DM
通讯作者：
Nathan, DM
影响因子：
168.9
作者：
Wong, Tien Y.;Liew, Gerald;Shaw, Jonathan
通讯作者：
Shaw, Jonathan
DOI：
10.1016/j.bbrc.2004.01.065
发表时间：
2004-03-05
影响因子：
3.1
作者：
Kitabchi, AE;Stentz, FB;Umpierrez, GE
通讯作者：
Umpierrez, GE
影响因子：
16.2
作者：
Glümer, C;Vistisen, D;Colagiuri, S
通讯作者：
Colagiuri, S
影响因子：
--
作者：
Wilson, Peter W. F.;Meigs, James B.;D'Agostino, Ralph B., Sr.
通讯作者：
D'Agostino, Ralph B., Sr.