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Fig. 4 | Diabetology & Metabolic Syndrome

Fig. 4

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

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 heart weight/body weight versus peak area of PC (20:4/18:0) (Pearson r = 0.808; P = 0.003, n = 11). Line represents linear regression of data (y = 2 × 10−7x − 52535; r2 = 0.6521). e Whole heart weight/body weight and PC (20:4/16:1). Pearson correlation analysis shows a significant negative correlation of the ratio of whole heart weight/body weight versus peak area of PC (20:4/16:1) (Pearson r = −0.731; P = 0.011, n = 11). Line represents linear regression of data (y = −2 × −10−7x + 70585; r2 = 0.5345). f Whole heart weight/body weight and PC (20:4/16:0). Pearson correlation analysis shows a significant negative correlation of the ratio of whole heart weight/body weight versus peak area of PC (20:4/16:0) (Pearson r = −0.671; P = 0.024, n = 11). Line represents linear regression of data (y = −9 × −10−6x + 30834; r2 = 0.4507). g Whole heart weight/body weight and PC (22:6/18:1). Pearson correlation analysis shows a significant negative correlation of the ratio of whole heart weight/body weight versus peak area of PC (22:6/18:1) (Pearson r = −0.711; P = 0.014, n = 11). Line represents linear regression of data (y = −2 × −10−7x + 84752; r2 = 0.5056)

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