title: Mitochondrial DNA copy number augments performance of A1C and oral glucose tolerance testing in the prediction of type 2 diabetes.
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 A1c(A1C) 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 follow-ups 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.
authors.affiliation: Center for Genome Science, National Research Institute of Health, KCDC, Cheongju, 28159, Korea.
authors.forename: Seong Beom
authors.initials: SB
authors.lastname: Cho
authors.affiliation: Department of Physiology, School of Medicine, Hanyang University, Seoul, 04763, Korea.
authors.forename: InSong
authors.initials: I
authors.lastname: Koh
authors.affiliation: Center for Genome Science, National Research Institute of Health, KCDC, Cheongju, 28159, Korea.
authors.forename: Hye-Young
authors.initials: HY
authors.lastname: Nam
authors.affiliation: Center for Genome Science, National Research Institute of Health, KCDC, Cheongju, 28159, Korea.
authors.forename: Jae-Pil
authors.initials: JP
authors.lastname: Jeon
authors.affiliation: Department of Internal Medicine, School of Medicine, Eulji University, Seoul, 01830, Korea.
authors.forename: Hong Kyu
authors.initials: HK
authors.lastname: Lee
authors.affiliation: Center for Genome Science, National Research Institute of Health, KCDC, Cheongju, 28159, Korea.
authors.forename: Bok-Ghee
authors.initials: BG
authors.lastname: Han
mesh_terms: D000328:Adult; D056915:DNA Copy Number Variations; D004272:DNA, Mitochondrial / Q000235:genetics*; D003661:Decision Support Techniques; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis*; D005260:Female; D005500:Follow-Up Studies; D005951:Glucose Tolerance Test; D006442:Glycated Hemoglobin / Q000032:analysis*; D006801:Humans; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity
chemical_list: D004272:DNA, Mitochondrial; D006442:Glycated Hemoglobin