Evaluation of iTRAQ and SWATH-MS for the Quantification of Proteins Associated with Insulin Resistance in Human Duodenal Biopsy Samples

• Published in: PloS one Vol. 10; no. 5; p. e0125934
• Main Authors: Bourassa, Sylvie, Fournier, Frédéric, Nehmé, Benjamin, Kelly, Isabelle, Tremblay, André, Lemelin, Valéry, Lamarche, Benoit, Couture, Patrick, Droit, Arnaud
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.05.2015; Public Library of Science (PLoS)
• Subjects: Annotations; Atherosclerosis; Bioinformatics; Biopsy; Confidence intervals; Correlation coefficient; Correlation coefficients; Diabetes; Duodenum - metabolism; Duodenum - pathology; Experiments; Humans; Identification methods; Insulin; Insulin Resistance; Intestine; Kinases; Labeling; Lipid metabolism; Lipids; Lipoproteins; Male; Mass spectrometry; Mass spectroscopy; Medicine; Metabolism; Methods; Oxidation; Patients; Peptides; Physiological aspects; Protein expression; Proteins; Proteins - metabolism; Proteome; Proteomics; Quantitation; Spectroscopy; Studies; Tandem Mass Spectrometry - methods; Canada
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0125934

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.