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Fig. 10 | Biological Research

Fig. 10

From: Disseminated intravascular coagulation phenotype is regulated by the TRPM7 channel during sepsis

Fig. 10

TRPM7 suppression protects from endotoxin-induced liver and kidney dysfunction, which correlates with TRPM7 expression. TRPM7 mRNA and protein expression in liver tissue from AdVCTRL-injected + saline-treated (Saline, grey circles) and AdVCTRL-injected + endotoxin-treated rats (Endo, red circles) (A). Statistical differences were assessed by student’s t-test (Mann–Whitney) (N = 16) **p < 0.01, ***p < 0.001, compared with the saline-treated condition. Results showed as mean ± SEM. Plasma liver dysfunction markers AST (B), ALT (D) and TBIL (F). Statistical differences were assessed by one-way analysis of variance (ANOVA) followed by Dunn's post hoc test. (N = 16) **: p < 0.01, ***: p < 0.001, ****: p < 0.0001, compared with the saline-treated condition. Results showed as mean ± SEM. Correlation analyses between TRPM7 mRNA and protein expression with AST (C), ALT (E) and TBIL (G). The relationships between variables were assessed by means of correlation analysis using Spearman’s correlation coefficients and linear regression. TRPM7 mRNA and protein expression in liver tissue from AdVCTRL-injected + saline-treated (Saline, grey circles) and AdVCTRL-injected + endotoxin-treated rats (Endo, red circles) (H). Statistical differences were assessed by student’s t-test (Mann–Whitney) (N = 16) **p < 0.01, ***p < 0.001, compared with the saline-treated condition. Results showed as mean ± SEM. Plasma liver dysfunction markers eGFR (J), BUN/creatinine ratio (L) KIM-1 (N), NGAL (P) and β2M (R). Statistical differences were assessed by one-way analysis of variance (ANOVA) followed by Dunn's post hoc test. (N = 16) *: p < 0.05, **: p < 0.01, ***: p < 0.001, compared with the saline-treated condition. Results showed as mean ± SEM. Correlation analyses between TRPM7 mRNA and protein expression with eGFR (K), BUN/creatinine ratio (M) KIM-1 (O), NGAL (Q) and β2M (S). The relationships between variables were assessed by means of correlation analysis using Spearman’s correlation coefficients and linear regression

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