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. 2023 Jul 14;9(28):eadg7417. doi: 10.1126/sciadv.adg7417

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Fig. 1. — (A) Untargeted metabolomics was performed in a pilot discovery cohort (n = 20). PCA showed a clear separation of metabolite component between the two groups. (B) The heatmap of differential plasma metabolites with top significance. (C) UHPC-MS/MS was performed to quantify plasma Kyn concentration in a nonoverlapping validation cohort (n = 19 in poLV group and n = 25 in control group). Unpaired Student’s t test was used. (D and E) Linear regression showed correlation between Kyn and LVPWd Z score (D) or LVMI (E). (F) AUC showed diagnosis efficacy of Kyn to discriminate two groups, comparing to traditional blood biomarkers NT-proBNP and cTNI. Each data point represents the mean of an individual patient. **P < 0.01.