Description
The aim of this study is to investigate the relationship between a-tocopherol levels and serum protein profiles in human subjects at risk of T2D before and after intake of adequate dairy (AD) or high dairy (HD) products. In this crossover study, dietary intake of 25 subjects with hyperinsulinemia included: 1- pre-AD intake; 2- pre-HD intake; 3- post- AD intake (less or equal 2 servings/day); and 4- post-HD intake (more or equal than 4 servings/day) assessed by food frequency questionnaire. At each intake, serum a-tocopherol level was measured by gas chromatography-spectrometry and serum proteins were identified and quantified by liquid chromatography-mass spectrometry. Spearman correlation and gene ontology analyses were performed to identify biological pathways affected by dairy intake. a-tocopherol levels were associated with proteins that regulate lipid homeostasis and immune response. However, the increase intake of dairy products modified these associations in subjects with T2D.
[doi:10.25345/C59C6S491]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Vitamin E, a-tocopherol, type 2 diabetes, dairy products, mass spectrometry, serum proteomic profile.
Contact
Principal Investigators:
(in alphabetical order)
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Michel Lebel, Centre Hospitalier Universite Laval, Canada
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MicLeb
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Originally identified proteins that were automatically
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SwissProt
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Number of distinct protein accessions reported across all analyses (original submission and
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Number of distinct unmodified peptide sequences reported across all analyses (original
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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all
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Number of distinct proteins quantified across all analyses (original submission and reanalyses)
associated with this dataset.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison
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A protein is differentially abundant if its change in abundance across conditions is found
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with statistical tests for differential abundance.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE.
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