Table 2.
eAT | mAT | sAT | |
---|---|---|---|
Thermogenesis | −1.10 ± 0.10a | −1.08 ± 0.10a | −2.07 ± 0.10b*** |
Beige | −0.57 ± 0.16a | −1.11 ± 0.16b* | −2.22 ± 0.16c*** |
White | −1.15 ± 0.09c*** | 0.11 ± 0.09b | 0.51 ± 0.09a |
Immune | −1.68 ± 0.12a | −1.82 ± 0.12a | −2.59 ± 0.12b*** |
Extracellular matrix | −1.00 ± 0.08 | −1.06 ± 0.08 | −1.12 ± 0.08 |
Oxidative stress | −1.15 ± 0.12a | −1.07 ± 0.12a | −2.03 ± 0.12b*** |
AT growth & function | 1.08 ± 0.11a** | 0.88 ± 0.11a* | 0.52 ± 0.11b |
Data are expressed as log of least square means ± SE, n = 53. Genes were grouped in various categories as the following: Ucp1, Ppargc1a, Prdm16, Cpt1b, Cox4i1 as ‘thermogenesis’-related genes; Tbx1, Tmem26, Tnfrsf9, P2rx5, Slc36a2 as ‘beige’-related genes’; Shox2, Hoxc9, Slc7a10, Lep as ‘white’-related genes; Il6, Ccl2, Tnf, Ccl18, Mrc1, Cd68 as ‘immune’-related genes; Col6a3, Col3a1, Mmp9, Timp1 as ‘extracellular matrix’-related genes; Hif1a, Ncf1, Cyba, Tgfb1 as ‘oxidative stress’-related genes; Slc2a4, Adipoq, Pparg, Fabp4, Cebpa as the ‘AT growth and function’-related genes. Groups were compared using a multivariate randomized block ANOVA model. Superscripts represent significance of P ≤ 0.05. *Represents P ≤ 0.05, **represents P ≤ 0.01, ***represents P ≤ 0.001. AT: Adipose tissue.