Table 1.

Real-time QPCR validation of genes using hepatic samples in cohort 1

Gene Name	Catalog #	Female		Male		Statistics (two-way ANOVA)
		Sham	VSG	Sham	VSG
Lipid metabolism
ACOX1	Rn01460628_m1	100 ± 7a	75 ± 5b	91 ± 3	94 ± 7	p (surgery × sex) < 0.05
CD36	Rn01442639_m1	100 ± 10a	49 ± 6b	2 ± 1c	4 ± 1c	p (surgery × sex) < 0.001
CPT1A	Rn00580702_m1	100 ± 9	72 ± 11	90 ± 6	79 ± 12	NS
DGAT2	Rn00584870_m1	100 ± 6a	73 ± 6b	54 ± 4b	53.1 ± 4b	p (surgery × sex) < 0.05
FASN	Rn00569117_m1	100 ± 12	70 ± 11	17 ± 5	14 ± 2	p (sex) < 0.001
LDLR	Rn00598442_m1	100 ± 8a	64 ± 5c	29 ± 3b	31 ± 3b	p (surgery × sex) < 0.01;
MGAT	Rn00585985_s1	100 ± 4	82 ± 6	68 ± 5	67 ± 6	p (sex) < 0.001
PGC1	Rn00590984_m1	100 ± 12	104 ± 12	35 ± 3	68 ± 7	p (sex) < 0.001
PPARα	Rn00566193_m1	100 ± 9	59 ± 8	106 ± 10	102 ± 11	p (sex) < 0.05, p (surgery) < 0.05,
PPARγ	Rn00440945_m1	100 ± 13	67 ± 10	85 ± 13	75 ± 11	p(surgery) < 0.05
SREBP	Rn01495769_m1	100 ± 6	68 ± 7	70 ± 10	58 ± 5	p (surgery) < 0.05, p (sex) < 0.01
Cholesterol Metabolism
ACAT2	Rn01759928_g1	100 ± 11a	66 ± 7b	20 ± 1c	21 ± 3c	p (surgery × sex) < 0.05;
CYP7a1	Rn00564065_m1	100 ± 24	85 ± 11	40 ± 7	44 ± 15	p (sex) < 0.001
MTTP	Rn01522970_m1	100 ± 7a	64 ± 5b	35 ± 2c	37 ± 3c	p (surgery × sex) < 0.001
LRH1	Rn00572649_m1	100 ± 15a	57 ± 5b	91 ± 7a	92 ± 6a	p (surgery × sex) < 0.001
Receptors
Erα	Rn00433142_m1	100 ± 6a	75 ± 5b	81 ± 4b	76 ± 5b	p (surgery × sex) < 0.05
FGFR1	Rn00577234_m1	100 ± 10	106 ± 6	88 ± 5	116 ± 8	p (surgery) < 0.05
FXR	Rn00572658_m1	100 ± 7a	59 ± 8b	74 ± 6b	64 ± 5b	p (surgery × sex) < 0.05
Gluconeogenesis
G6PC	Rn01529640_g1	100 ± 4	80 ± 4	106 ± 6	93 ± 7	P(surgery) < 0.01
PCK1	Rn01529009_g1	100 ± 8	92 ± 12	158 ± 13	185 ± 16	P(sex) < 0.001

Data are presented as mean ± SEM. Groups with different superscript letters are significantly different via Tukey post hoc analysis