Supplemental Data

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• Supplemental Data - (07-8520SuppData.pdf; 2.59 MB)
  Figure S1: DDOST expression in muscle is not altered by physical activity (A–B). RNA was isolated from muscle biopsies taken before and after inactivity or activity. The expression of DDOST was subsequently determined by qRT-PCR. Data are mean ± se and are presented as a percentage of the gene expression before inactivity or activity (A) DDOST expression following 5 weeks of muscle inactivity (n=4). (B) DDOST expression following 6 weeks of exercise endurance training (n=24).
  Figure S2: Relation between PGC-1α and PINK1 mRNA expression (A–B). PGC-1α and PINK1 mRNA expression were measured using qRT-PCR with 18S as an endogenous control in the muscle samples described in Figure 1. Values are percentage of the average expression in the control group. R²-correlation coefficients and p values are as stated in the figure. (A) PGC-1α versus PINK1 mRNA expression in muscle tissue. (B) PGC-1α versusPINK1 mRNA expression in adipose tissue.
  Figure S3: Relation between gene expression (PGC-1α and DDOST) and diabetes status. (A–B). Muscle tissue from the sample set described in Figure 1 was utilized and PGC-1α and DDOST mRNA expression was measured using qRT-PCR with 18S as endogenous control. Values are percentage of the average expression in the control group. Various non-linear regression models were applied to gene expression versus fasting glucose levels or hemoglobin A1c to describe the relationship between gene expression and diabetic parameters. R²-correlation coefficients are as stated in the figure. (A) Non-linear regression (power series) of hemoglobin A1c versus PGC-1α mRNA expression. (B) Non-linear regression (polynomial: Second order) of fasting glucose levels versus PGC-1α mRNA expression. (C) Non-linear regression (polynomial: Third order) of hemoglobin A1c versus DDOST expression. (D) Nonlinear regression (power series) of fasting glucose levels versus DDOST mRNA expression.