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Figure 1

From: Procalcitonin metabolomics in the critically ill reveal relationships between inflammation intensity and energy utilization pathways

Figure 1

Rain plot of metabolites significantly increased with increased Procalcitonin. Repeated measures metabolomics data (day 0, 3 and 7) relative to procalcitonin level. Correlations between procalcitonin levels and individual metabolite abundance at day 0, 3 or 7 were determined utilizing linear regression models correcting for age, sex, SAPS II, admission diagnosis, 25(OH)D at day 0 and for absolute change in 25(OH)D level at day 3. The magnitude of beta coefficient estimates is shown by a color fill scale and the corresponding significance level (− log10(q-value)) is represented by size of the circle. The intensity of the red fill color represents an increase in effect size for that metabolite relative to procalcitonin level. All metabolites shown are significant by a q-value threshold of 0.05. All respective β coefficients and q-values can be found in tabular form in Supplementary Data S3. (A) Short-chain acylcarnitines (B) Medium-chain acylcarnitines (C) BCAA metabolites (D) Dicarboxylate fatty acids.

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