Identification and characterization of metformin on peptidomic profiling in human visceral adipocytes.

Abstract

To gain insight into the effect of metformin on losing weight from peptidomic perspective and to screen potential active peptides for reducing fat lipid deposition. After determining the proper concentration of metformin on human primary visceral adipocytes, we constructed a comparative peptidomic profiling between control and metformin treatment group (n = 3) using a stable isobaric labeling strategy involving tandem mass tag reagents, followed by liquid chromatography tandem mass spectrometry. We identified and quantified 3065 non-redundant peptides, 304 of which were differentially expressed after metformin treatment, 206 peptides were up regulated and 98 peptides were down regulated significantly. Gene ontology (GO) enrichment and pathway analysis were performed to study differentially peptides though their precursor proteins. We concluded three peptides located within the functional domains of their precursor proteins could be candidate bioactive peptides for obesity. On one hand, these results confirmed the versatile effects of metformin on adipocyte and advance our current understanding of metformin, on the other hand, these identified peptides might play putative roles in treatment of obesity.