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Fig. 2 | Biomarker Research

Fig. 2

From: Exploring the feasibility of using long-term stored newborn dried blood spots to identify metabolic features for congenital heart disease screening

Fig. 2

The application of targeted metabolomics to discover CHD diagnosis and subtyping biomarker metabolites using DBS samples. (A) Volcano plots for screening significant changed metabolites associated with CHD, the metabolites with P value < 0.05 and fold change > 1.5 are marked as red dots and the metabolites with P value < 0.05 and fold change < 0.67 are marked as blue dots. (B) violin plots for three biomarker metabolites for CHD diagnosis. *: Student’s P value < 0.05, **: P value < 0.01, ***: P value < 0.001. (C) the smoothed receiver operating characteristic curve (AUC ROC) of logistic model based on three biomarkers. 95% confidence intervals are shown in grey lines. (D) the importance score of the 12 metabolites associated with CHD subtyping which have an 80% cumulative importance in total. (E) PLS-DA cluster results using 12 metabolites for CHD subtyping

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Biomarker Research

ISSN: 2050-7771

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