MassIVE MSV000084033

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Metabolomics Workbench ST000048 - GNPS - Metabolomic & lipidomic profiles in response to exogenous insulin & GLP-1 infusions during prolonged fasting (GCMS)

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Description

This application requests funding to access state-of-the-art metabolomics and lipidomic platforms at the NIH West Coast Metabolomics Center to analyze plasma samples from recent insulin and glucagon-like peptide-1 (GLP-1) infusion experiments performed in prolong-fasted elephant seals. This suite of studies was designed to better assess the mechanisms contributing to the onset of an insulin resistantlike condition induced by prolonged food deprivation/starvation in mammals. Because elephant seals have evolved robust physiological mechanisms that have allowed them to naturally tolerate such protracted bouts of fasting, they provide an ideal model to address our central hypothesis that increased lipid utilization late in the fast contributes to insulin resistance in elephant seals. Insulin resistance is a common consequence of fasting in mammals and, while the mechanisms by which it manifests are still unclear, a metabolic shift favoring increased mobilization and utilization of lipids during prolonged food deprivation may be a principal causative factor. Insulin resistance has a negative connotation due to its association with obesity and diabetes among humans, but it has been suggested to be an adaptive response to food deprivation. [doi:10.25345/C58S8Z] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: blood ; serum ; GCMC

Contact

Principal Investigators:
(in alphabetical order) 		Oliver Fiehn, University of California, Davis, N/A
Submitting User: aaksenov
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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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.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated 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. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.