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Table 3 Factor and their loadings derived by 25 acylcarnitine metabolites

From: Medium & long-chain acylcarnitine’s relation to lipid metabolism as potential predictors for diabetic cardiomyopathy: a metabolomic study

Variables

Factor 1

Factor 2

Factor 3

Factor 4

Factor 5

Factor 6

C14

0.945

−0.098

−0.070

0.066

0.019

0.002

C12

0.881

0.036

0.029

0.335

0.003

−0.010

C14DC

0.735

0.357

0.114

−0.109

0–.051

0.229

C14-OH

0.729

0.374

0.028

0.207

0.223

0.011

C20

0.687

0.515

0.047

0.123

0.192

0.047

C18

0.624

0.271

0.416

−0.046

0.137

−0.183

C16:1-OH

0.603

0.372

0.389

−0.067

0.276

0.159

C26

0.251

0.739

0.235

0.420

0.065

−0.156

C14:1

0.268

0.735

0.227

0.422

0.049

−0.133

C24

0.324

0.706

0.065

0.107

0.141

0.094

C22

0.219

0.696

0.070

−0.003

0.251

0.284

C4-OH

0.030

0.667

0.485

0.038

0.209

0.167

C2

0.040

0.105

0.837

0.180

0.121

−0.023

C3

0.122

0.025

0.777

0.058

0.250

0.134

C4

−0.093

0.349

0.741

0.169

0.159

0.222

C16

0.462

0.289

0.605

0.062

0.146

−0.264

C8

0.126

0.215

0.091

0.905

0.130

−0.044

C6

0.027

−0.031

0.136

0.842

−0.077

0.277

C10

0.147

0.357

0.169

0.782

0.240

−0.229

C5-OH

0.105

0.215

0.156

0.013

0.849

0.076

C4DC

0.086

0.331

0.213

0.073

0.747

−0.177

C0

0.082

−0.110

0.452

0.170

0.681

0.051

C5:1

0.049

0.466

0.082

0.076

0.476

0.306

C5

−0.022

0.125

0.493

0.094

0.109

0.645

C16-OH

0.490

0.211

−0.045

− 0.045

−0.055

0.529

  1. Principal component analysis of extracted factors from 25 acylcarnitines according to eigenvalue > 1, lithotripsy, and cumulative variance. To maximize the variance difference of each factor, varimax rotation is used. Each black labeled acylcarnitine in each column defines a factor in the corresponding column (factor 1: C14, C12, C14DC, C14-OH, C20, C18, C16:1-OH; factor 2: C26, C14:1, C24, C22, C4-OH; factor 3: C2, C3, C4, C16; factor4: C8, C6, C10; factor 5: C5-OH, C4DC, C0; and factor 6: C5, C16-OH)