Table 2 Result of the mRNA-based multivariate regression model for Si training response among the subset of White HERITAGE participants for which global gene expression data before and after the exercise program are available (n = 47).

From: Genomics and transcriptomics landscapes associated to changes in insulin sensitivity in response to endurance exercise training

Variable

Regression coefficient

Standard error

t-value

p value

VO2max

 − 0.03

0.004

 − 0.68

0.50

Sex

 − 2.15

0.83

 − 2.59

0.013

CAMK2D mRNA

40.73

27.98

1.46

0.15

CAMK2G mRNA

74.78

32.04

2.33

0.02

HDAC4 mRNA

 − 34.94

22.37

 − 1.56

0.13

CAMK2D:CAMK2G

 − 12.08

3.41

 − 3.54

0.001

CAMK2D:HDAC4

6.94

1.63

4.27

 < 0.001

CAMK2G:HDAC4

 − 0.40

2.90

 − 0.14

0.89

  1. Importantly, the response variable (i.e. ∆Si) spanned a broad range (− 79 to + 120%) among the participants included in the current analysis. Sex and VO2max adjusted for body size were included as covariates in the model. Notably, the abundance of these transcripts was not responsive to the training intervention, but rather higher basal expression levels were associated with greater gains in Si. CAMK2D: 228555_at; CAMK2G: 212757_s_at; HDAC4: 228813_at.
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