Evidence map›Paper›PMID 25950531›Full record

ArticlePloS one2015

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

Sylvie Bourassa, Frédéric Fournier, Benjamin Nehmé, Isabelle Kelly, André Tremblay, Valéry Lemelin, Benoit Lamarche, Patrick Couture, Arnaud Droit

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Oral Glucose Mobilizes Triglyceride Stores From the Human Intestine.Cellular and molecular gastroenterology and hepatology · 2019
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  11. Analysis of theJournal of extracellular vesicles · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Sylvie BourassaProteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
Frédéric FournierProteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
Benjamin NehméProteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
Isabelle KellyProteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
André TremblayLipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
Valéry LemelinLipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
Benoit LamarcheLipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
Patrick CoutureLipid Research Center, Centre Hospitalier de l'Université Laval Research Center, Laval University, Quebec, Canada.
Arnaud DroitProteomics Center, CHU de Québec Research Center and Department of Molecular Medicine, Laval University, Quebec, Canada.
Université Laval · CACentre hospitalier de l'Université Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Insulin ResistanceDuodenumHumansMaleProteinsProteomeTandem Mass SpectrometryProteinsProteome

Identifiers

PMID25950531
PMCPMC4423961
OpenAlexW395369450

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.