title: Evaluation of iTRAQ and SWATH-MS for the Quantification of Proteins Associated with Insulin Resistance in Human Duodenal Biopsy Samples.
abstract: Insulin resistance (IR) is associated with increased production of triglyceride-rich lipoproteins of intestinal origin. In order to assess whether insulin resistance affects the proteins involved in lipid metabolism, we used two mass spectrometry based quantitative proteomics techniques to compare the intestinal proteome of 14 IR patients to that of 15 insulin sensitive (IS) control patients matched for age and waist circumference. A total of 3886 proteins were identified by the iTRAQ (Isobaric Tags for Relative and Absolute Quantitation) mass spectrometry approach and 2290 by the SWATH-MS strategy (Serial Window Acquisition of Theoretical Spectra). Using these two methods, 208 common proteins were identified with a confidence corresponding to FDR < 1%, and quantified with p-value < 0.05. The quantification of those 208 proteins has a Pearson correlation coefficient (r2) of 0.728 across the two techniques. Gene Ontology analyses of the differentially expressed proteins revealed that annotations related to lipid metabolic process and oxidation reduction process are overly represented in the set of under-expressed proteins in IR subjects. Furthermore, both methods quantified proteins of relevance to IR. These data also showed that SWATH-MS is a promising and compelling alternative to iTRAQ for protein quantitation of complex mixtures.
authors.affiliation: Proteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
authors.forename: Sylvie
authors.initials: S
authors.lastname: Bourassa
authors.affiliation: Proteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
authors.forename: Frédéric
authors.initials: F
authors.lastname: Fournier
authors.affiliation: Proteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Nehmé
authors.affiliation: Proteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
authors.forename: Isabelle
authors.initials: I
authors.lastname: Kelly
authors.affiliation: Lipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
authors.forename: André
authors.initials: A
authors.lastname: Tremblay
authors.affiliation: Lipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
authors.forename: Valéry
authors.initials: V
authors.lastname: Lemelin
authors.affiliation: Lipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
authors.forename: Benoit
authors.initials: B
authors.lastname: Lamarche
authors.affiliation: Lipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
authors.forename: Patrick
authors.initials: P
authors.lastname: Couture
authors.affiliation: Proteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
authors.forename: Arnaud
authors.initials: A
authors.lastname: Droit
mesh_terms: D004386:Duodenum / Q000378:metabolism / Q000473:pathology*; D006801:Humans; D007333:Insulin Resistance; D008297:Male; D011506:Proteins / Q000378:metabolism*; D020543:Proteome; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D011506:Proteins; D020543:Proteome