Changes of myocardial lipidomics profiling in a rat model of diabetic cardiomyopathy using UPLC/Q-TOF/MS analysis

Figures

• 

  Fig. 1. OPLS-DA score plot and loading plot. Scatter plots of diabetic cardiomyopathy (DCM) model and control rats (n = 5 per group) were acquired by ultra-high-performance liquid chromatography coupled with quadruple time-of-flight mass spectrometry (UPLC/Q-TOF/MS) in ESI+ mode: a OPLS-DA score plot. b OPLS-DA loading plot in ESI+ mode and variables labeled with retention time. (Black square): DCM model rat, M; (black square): c Control rat, OPLS-DA orthogonal projection to latent structures discriminant analysis, ESI electrospray mode electrospray ionization

• 

  Fig. 2. Score plot (S-Plot) of OPLS-DA pattern. Variables were considered to be significant to the model when the VIP score was above 1.0; OPLS-DA orthogonal projection to latent structures discriminant analysis

• 

  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…

• 

  Fig. 4. Relationship of biomarkers to the ratio of whole heart weight/body weight in vivo. a Whole heart weight/body weight and PC (16:1/18:3). Pearson correlation analysis shows a significant negative correlation of the ratio of whole heart weight/body weight versus peak area of PC (16:1/18:3) (Pearson r = −0.828; P = 0.002, n = 11). Line represents linear regression of data (y = −10−7x + 33438; r2 = 0.6856). b Whole heart weight/body weight and PC (22:6/18:2). Pearson correlation analysis shows a significant negative correlation of the ratio of whole heart weight/body weight versus peak area of PC (22:6/18:2) (Pearson r = −0.733; P = 0.01, n = 11). Line represents linear regression of data (y = −10−8x + 498642; r2 = 0.5377). c Whole heart weight/body weight and PC (18:0/16:0). Pearson correlation analysis shows a significant positive correlation of the ratio of whole heart weight/body weight versus peak area of PC (18:0/16:0) (Pearson r = 0.727; P = 0.011, n = 11). Line represents linear regression of data (y = 5 × 10−7x − 97683; r2 = 0.5281). d Whole heart weight/body weight and PC (20:4/18:0). Pearson correlation analysis shows a significant positive correlation of the ratio of whole…