Blood metabolites as biomarkers for mitochondrial diseases

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Date of download: 6/24/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Development of a Research Child Growth Reference.

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Blood metabolites as biomarkers for mitochondrial diseases Blood metabolites as biomarkers for mitochondrial diseases ROC curves for individual metabolites sorbitol, alanine, myoinositol and cystathionine (left) and conventional blood biomarkers lactate and pyruvate, and cytokine FGF21 (right) in blood of MIRAS, PEO and MELAS/MIDD patients (n = 20) compared to controls (n = 30).ROC curve for the combined “multi‐biomarker” of sorbitol/alanine/myoinositol/cystathionine for primary MDs compared to controls (left); mean centroids for MD, IBM and NMD patients, and MIRAS carriers compared to controls (right).Data information: ROC analysis: AUC of sorbitol 0.81 (95% CI: 0.68–0.94, P = 0.0003), alanine 0.81 (95% CI: 0.66–0.94, P = 0.0003), myoinositol 0.79 (95% CI: 0.66–0.91, P = 0.0007) and cystathionine 0.78 (95% CI: 0.65–0.91, P = 0.001); AUC of conventional biomarkers: lactate 0.86 (95% CI: 0.76–0.97, P = 0.0001) and pyruvate 0.78 (95% CI: 0.64–0.93, P = 0.0017), and FGF21 0.87 (95% CI: 0.74–0.99, P = 0.0001). AUC of “multi‐biomarker” 0.94 (95% CI: 0.88–0.995, P = 0.0001). Mean centroid data represent mean ± SD. **P < 0.01, ***P < 0.001 (1‐way ANOVA with Dunnett's multiple comparison test). See Dataset EV2 for raw data. Jana Buzkova et al. EMBO Mol Med. 2018;10:e9091 © as stated in the article, figure or figure legend