Mitochondrial DNA copy number augments performance of A₁C and oral glucose tolerance testing in the prediction of type 2 diabetesopen access
- Authors
- Cho, Seong Beom; Koh, InSong; Nam, Hye-Young; Jeon, Jae-Pil; Lee, Hong Kyu; Han, Bok-Ghee
- Issue Date
- Mar-2017
- Publisher
- NATURE PUBLISHING GROUP
- Citation
- SCIENTIFIC REPORTS, v.7, pp.1 - 8
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENTIFIC REPORTS
- Volume
- 7
- Start Page
- 1
- End Page
- 8
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152783
- DOI
- 10.1038/srep43203
- ISSN
- 2045-2322
- Abstract
- Here, we tested the performance of the mitochondrial DNA copy number (mtDNA-CN) in predicting future type 2 diabetes (n = 1108). We used the baseline clinical data (age, sex, body mass index, waist-to-hip ratio, systolic and diastolic blood pressure) and the mtDNA-CN, hemoglobin A(1c) (A(1)C) levels and results of oral glucose tolerance test (OGTT) including fasting plasma glucose, 1-hour glucose, and 2-hour glucose levels, to predict future diabetes. We built a prediction model using the baseline data and the diabetes status at biannual follow-up of 8 years. The mean area under curve (AUC) for all followups of the full model including all variables was 0.92 +/- 0.04 (mean +/- standard deviation), while that of the model excluding the mtDNA-CN was 0.90 +/- 0.03. The sensitivity of the f4ull model was much greater than that of the model not including mtDNA-CN: the mean sensitivities of the model with and without mtDNA-CN were 0.60 +/- 0.06 and 0.53 +/- 0.04, respectively. We found that the mtDNA-CN of peripheral leukocytes is a biomarker that augments the predictive power for future diabetes of A1C and OGTT. We believe that these results could provide invaluable information for developing strategies for the management of diabetes.
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