Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort
| Autor: | Janice A. Kolberg, Michael Rowe, Oluf Pedersen, Mickey S. Urdea, Xiaomei M. Xu, Knut Borch-Johnsen, Torben Jørgensen, Torben Hansen, Sarah Hamren, Michael Mckenna, Edward Moler, Robert W. Gerwien |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Oncology
Adult Blood Glucose Male medicine.medical_specialty Diabetes risk Endocrinology Diabetes and Metabolism medicine.medical_treatment Denmark Population Type 2 diabetes Risk Assessment Body Mass Index Cohort Studies Risk Factors Internal medicine Diabetes mellitus Internal Medicine medicine Humans Insulin Risk factor education Advanced and Specialized Nursing Glycated Hemoglobin Hemoglobin A Glycosylated Immunoassay education.field_of_study Adiponectin business.industry Receptors Interleukin-2 Middle Aged medicine.disease Endocrinology C-Reactive Protein Diabetes Mellitus Type 2 Case-Control Studies Ferritins Biological Markers Female business Biomarkers Cohort study |
| Zdroj: | Kolberg, J A, Jørgensen, T, Gerwien, R W, Hamren, S, McKenna, M P, Moler, E, Rowe, M W, Urdea, M S, Xu, X M, Hansen, T, Pedersen, O & Borch-Johnsen, K 2009, ' Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort ', Diabetes Care, vol. 32, no. 7, pp. 1207-12 . https://doi.org/10.2337/dc08-1935 |
| Popis: | OBJECTIVE 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. RESEARCH DESIGN AND METHODS 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. RESULTS 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. CONCLUSIONS 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. |
| Databáze: | OpenAIRE |
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