Fig. 1 | Scientific Reports

Fig. 1

From: Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: a retrospective study

Fig. 1Fig. 1Fig. 1Fig. 1

Statistical analysis of the data obtained for 50 Control (50), Non-SIRS (60), and SIRS (40) groups. (A) PLS‑DA for Control and Non-SIRS groups: 2D score plot for the discrimination of Control groupand Non-SIRS group, important metabolites discriminating the two groups. (B) Hierarchical heatmap for top‑25 discriminating metabolites between Control and Non-SIRS groups (red bar: Control group, green bar: Non-SIRS group). (C) PLS‑DA for Control and SIRS groups: 2D score plot for the discrimination of Control group and SIRS group, important metabolites discriminating the two groups. (D) Hierarchical heatmap for top‑25 discriminating metabolites between Control and SIRS groups (red bar: Control group, green bar: SIRS group). (E) PLS‑DA for Non-SIRS and SIRS groups: 2D score plot for the discrimination of Non-SIRS group and SIRS group, important metabolites discriminating the two groups. (F) PLS‑DA for SDS and SDDS groups: 2D score plot for the discrimination of SDS group and SDDS group, important metabolites discriminating the two groups. (G) Hierarchical heatmap for top‑25 discriminating metabolites between SDS and SDDS groups (red bar: SDDS group, green bar: SDS group). VIP score: the metabolites are responsible for discrimination between sepsis after trauma and trauma-induced SIRS. Metabolites with high VIP scores are more important in class separation.

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