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. 2022 Sep 24;23(19):11249. doi: 10.3390/ijms231911249

Table 3.

Pre- and post-treatment body measures, and post treatment serum levels.

Vehicle Oxytocin ASK2131 ASK2131 Pair
n= 6 6 6 6
Pretreatment body weight (g) 762 ± 64 719 ± 18 723 ± 38 724 ± 43
Posttreatment body weight (g) 799 ± 69 719 ± 20 676 ± 42 691 ± 41
% change in body weight 4.9 ± 1.1 0.1 ± 1 b −6.6 ± 1.3 c,d −4.6 ± 0.6
Glucose (mg/dL) 232 ± 8 203 ± 13 237 ± 12 256.± 13
Triglycerides (mg/dL) 190 ± 10 145 ± 7 182 ± 30 128 ± 7
Cholesterol (mg/dL) 102 ± 8 76 ± 3 67 ± 6 b 73 ± 6 a
HDL (mg/dL) 28 ± 3 25 ± 2 21 ± 2 23 ± 2
Calculated LDL (mg/dL) * 31 ± 5 22 ± 2 15 ± 5 24 ± 5
ALT (U/L) 44 ± 13 40 ± 5 26 ± 2 28 ± 3
AST (U/L) 117 ± 30 128 ± 22 73 ± 8 100 ± 8
Leptin (mg/dL) 55.5 ± 11.1 54.9 ± 7.9 39.0 ± 9.1 37.8 ± 8.0
Insulin (ng/mL) 5.6 ± 1.5 7.2 ± 2.1 6.7 ± 1.0 10.2 ± 2.6
Adiponectin (ng/mL) 76.2 ± 2.7 60.8 ± 3.9 62.4 ± 7.3 48.2 ± 6.4

a: p < 0.05 vs. vehicle b: p < 0.01 vs. vehicle c: p < 0.001 vs. vehicle d: p < 0.001 vs. OXT. Data expressed as mean ± SEM. Primary Analysis for normal distribution: One-Way ANOVA test assuming equal variances or Welch’s ANOVA for unequal variances; Šídák’s multiple comparisons test was used for post hoc analyses in both instances. For non-normally distributed data: Kruskal–Wallis test with Dunn’s multiple comparison test assuming equal variances or Brown-Forsythe ANOVA test with Dunnett’s T3 multiple comparison test for unequal variances. Serum measures were only available for n = 4 of the Oxytocin treated animals. * Calculated LDL = Cholesterol − (HDL + Triglycerides/5).