Fig. 3

Relationship of biomarkers to cardiac function parameters in vivo. a Left ventricular systolic pressure and PC (20:4/18:0). Pearson correlation analysis shows a significant negative correlation of left ventricular systolic pressure versus peak area of PC (20:4/18:0) (Pearson r = −0.663; P = 0.026, n = 11). Line represents linear regression of data (y = −385.9x + 50504; r² = 0.4402). b Left ventricular systolic pressure and PC (18:0/16:0). Pearson correlation analysis shows a significant negative correlation of left ventricular systolic pressure versus peak area of PC (18:0/16:0) (Pearson r = −0.655; P = 0.029, n = 11). Line represents linear regression of data (y = −864.51x + 120262; r² = 0.4291). c Left ventricular systolic pressure and PE (20:4/16:0). Pearson correlation analysis shows a significant positive correlation of left ventricular systolic pressure versus peak area of PE (20:4/16:0) (Pearson r = 0.612; P = 0.045, n = 11). Line represents linear regression of data (y = 151.95x − 7199.9; r² = 0.3749). d dp/dt _max and PC (20:4/18:0). Pearson correlation analysis shows a significant negative correlation of dp/dt _max versus peak area of PE (20:4/18:0) (Pearson r = −0.623; P = 0.041, n = 11). Line represents linear regression of data (y = −4.1053x + 33206; r² = 0.3883). e dp/dt _min and PC (20:4/16:0). Pearson correlation analysis shows a significant negative correlation of dp/dt _min versus peak area of PC (20:4/16:0) (Pearson r = −0.63; P = 0.038, n = 11). Line represents linear regression of data (y = −1.3289x − 26.661; r² = 0.3965)