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Univariate receiver operating characteristic (ROC) curve analysis of potential biomarkers alongside their corresponding box-and-whisker plots. The result presents differences in circulating metabolite levels between T2DM and NC groups. Each ROC curve illustrates the area under the curve (AUROC), with the optimal cutoff point indicated by a red dot and the 95% confidence interval represented in light blue. Sensitivity and specificity values corresponding to each ROC curve are shown in black text, while the AUC and its confidence interval are highlighted in pink text. The box-and-whisker plots of the respective ROC plot, where the optimal cutoff value of metabolites is highlighted by a red line. Red boxes represent the NC group, while green boxes denote the T2DM group.

Journal: ACS Omega

Article Title: NMR-Based Serum Metabolomics and Correlation Analysis Unraveled Metabolic Alterations Underlying Pathophysiology of Type 2 Diabetes Mellitus

doi: 10.1021/acsomega.5c04538

Figure Lengend Snippet: Univariate receiver operating characteristic (ROC) curve analysis of potential biomarkers alongside their corresponding box-and-whisker plots. The result presents differences in circulating metabolite levels between T2DM and NC groups. Each ROC curve illustrates the area under the curve (AUROC), with the optimal cutoff point indicated by a red dot and the 95% confidence interval represented in light blue. Sensitivity and specificity values corresponding to each ROC curve are shown in black text, while the AUC and its confidence interval are highlighted in pink text. The box-and-whisker plots of the respective ROC plot, where the optimal cutoff value of metabolites is highlighted by a red line. Red boxes represent the NC group, while green boxes denote the T2DM group.

Article Snippet: Serum metabolite concentrations were quantified using CHENOMX software and compared using multivariate and univariate statistical methods, with the diagnostic potential evaluated through receiver operating characteristic (ROC) curve analysis.

Techniques: Whisker Assay