MassIVE MSV000084333

Imported Reanalysis Dataset Public PXD011839

Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease

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Description

Non-alcoholic fatty liver disease (NAFLD) affects 25% of the population and can progress to cirrhosis, where treatment options are limited. As the liver secrets most of the blood plasma proteins its diseases should affect the plasma proteome. Plasma proteome profiling on 48 patients with cirrhosis or NAFLD with normal glucose tolerance or diabetes, revealed 8 significantly changing (ALDOB, APOM, LGALS3BP, PIGR, VTN, IGHD, FCGBP and AFM), two of which are already linked to liver disease. Polymeric immunoglobulin receptor (PIGR) was significantly elevated in both cohorts with a 2.7-fold expression change in NAFLD and 4-fold change in cirrhosis and was further validated in mouse models. Furthermore, a global correlation map of clinical and proteomic data strongly associated DPP4, ANPEP, TGFBI, PIGR, and APOE to NAFLD and cirrhosis. DPP4 is a known drug target in diabetes. ANPEP and TGFBI are of interest because of their potential role in extracellular matrix remodeling in fibrosis. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: biomarker discovery/ mass spectrometry/ NAFLD/ NASH/ plasma proteome profiling

Contact

Principal Investigators:
(in alphabetical order) 		Matthias Mann, Max Planck Institute of Biochemistry, N/A
Submitting User: ccms

Publications

Niu L, Geyer PE, Wewer Albrechtsen NJ, Gluud LL, Santos A, Doll S, Treit PV, Holst JJ, Knop FK, Vilsbøll T, Junker A, Sachs S, Stemmer K, Müller TD, Tschöp MH, Hofmann SM, Mann M.
Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease.
Mol. Syst. Biol. 2019 Mar 1;15(3):e8793. Epub 2019 Mar 1.

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

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in 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 peptide sequences (including modified variants or peptidoforms) 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.