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. 2017 Nov 14;7:15566. doi: 10.1038/s41598-017-15501-7

Table 3.

Relationship among thermogenic-, beige- and white fat- marker genes with all other gene categories in eAT, mAT and sAT biopsies.

Thermogenesis Beige White
eAT
 Thermogenesis
 Beige
 White
 ECM
 Immune 2.95 ± 1.14* (14.2%)
 Oxidative stress −4.41 ± 1.40** (25.6%) 4.84 ± 1.0*** (49.70%)
 AT growth & function −4.58 ± 0.11*** (45.7%)
 Total variance 36.10% 63.90% 52.40%
mAT
 Thermogenesis 3.53 ± 1.05** (7.60%) 3.15 ± 1.30* (9.30%)
 Beige 4.90 ± 1.43** (20%) −4.67 ± 1.36** (23.3%)
 White 3.46 ± 1.43* (8.60%) −4.05 ± 1.16** (10%)
 ECM
 Immune
 Oxidative stress −2.93 ± 1.31* (8.7%) 7.43 ± 1.00*** (47.50%) 2.73 ± 1.25* (9.80%)
 AT growth & function −3.92 ± 1.14** (16.6%) −3.34 ± 1.12** (15.7%)
 Total variance 54% 67.80% 58%
sAT
 Thermogenesis
 Beige
 White
 ECM
 Immune 4.34 ± 0.94*** (33.70%)
 Oxidative stress
 AT growth & function 4.92 ± 0.78*** (46.70%) 3.63 ± 0.89*** (45.60%)
 Total variance 83.50% 55.40%

Values represent stepwise regression coefficient estimate ± SE (% variance for each category) for various functional gene categories for each fat depot, n = 53. Relationships among these groups of genes (categorized in Table 2) were assessed using principal component analysis followed by stepwise regression as described in the methods section. *Represents P ≤ 0.05, **represents P ≤ 0.01, ***represents P ≤ 0.001. ECM: extracellular matrix; AT: Adipose tissue.