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. 2023 Mar 29;31(1):13–27. doi: 10.1007/s40199-023-00458-y

Table 2.

Statistical correlations using Pearson Correlation test among different parameters

Hepatic
Adiponectin Leptin PPARγ TNF-α IGF-I MDA PAS SIRT-I
Adiponectin
Leptin −0.918*
PPARγ 0.832* −0.936*
TNF-α −0.851* 0.967* −0.948*
IGF-I 0.942* −0.939* 0.873* −0.856*
MDA −0.768* 0.903* −0.895* 0.963* −0.752*
PAS 0.924* −0.957* 0.907* 0.894* 0.991* −0.799*
SIRT-I 0.801* −0.936* 0.926* −0.991* 0.794* −0.977* 0.837*
HOMA-IR −0.763* 0.915* −0.918* 0.981* −0.76* 0.985* −0.809* −0.996*
Adipose
Adiponectin Leptin PPARγ TNF-α IGF-I MDA SIRT-I
Adiponectin 0.912*
Leptin −0.918* −0.767*
PPARγ 0.945* −0.891* 0.927*
TNF-α −0.948* 0.86* −0.957* −0.948*
IGF-I 0.932* −0.975* 0.903* −0.888* 0.807*
MDA −0.915* 0.835* −0.925* 0.951* −0.867* −0.945*
HOMA-IR −0.885* 0.729* −0.903* 0.925* −0.769* 0.931* −0.996*

PPARγ Peroxisome Proliferator-Activated Receptor gamma, TNF-α tumor necrosis factor alpha, IGF-1 insulin growth factor 1, MDA malondialdehyde, HOMA-IR homeostasis model assessment of insulin resistance, PAS Periodic acid–Schiff

Data represent mean ± SD using One-way ANOVA test for comparisons of variables between groups. Pearson correlation was used to test the association between quantitative study variables. * Significance at P-value ˂ 0.05