MassIVE MSV000090646

Partial Public

GNPS - Altered profiles of lipids and eicosanoids predict survival rate in patients with de novo or acute decompensated heart failure

Description

Background: Heart failure (HF) is becoming an increasingly common problem, especially in the ageing population. Lipids are closely related to cardiovascular disease (CVD) pathology. Lipidomics as a comprehensive profiling tool is showing to be promising in the prediction of events and death due to CVD. In this study, eicosanoids and lipid profiles were measured to predict survival in patients with de novo or acute decompensated HF. Methods: Our study involved 50 patients (16 females, aged 30-96 years, mean age 73 years and 34 males, aged 46-86 years, mean age 71 years) with de novo or acute decompensated chronic HF admitted to our tertiary cardiovascular centre with the median follow-up of 7 months. Lipids were semiquantified using targeted lipidomic LC-MS/MS analysis. The concentration of eicosanoids was determined by a commercially available sandwich ELISA assay. Results: From 736 lipids and 3 eicosanoids we selected 39 significant lipids (by using the Mann-Whitney U test after Benjamini-Hochberg correction) where the highest number of representatives belonged to polyunsaturated phosphatidylcholines (PC). PC 42:10 (p=1.44x10-4) was evaluated as the most statistically significant in the surviving group with receiver operating characteristics of AUC=0.84 (p=3.24x10-7). Conclusion: Although the cardioprotective effect of polyunsaturated fatty acids (PUFA) is well known, in the present study we described a trend in PUFA esterified in PC, which were systematically elevated in surviving patients with HF. Using multivariate supervised discriminant analysis, the groups of surviving and non-surviving patients were classified with 90% accuracy. [doi:10.25345/C5J960F34] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: lipidomics ; heart failure ; cardiovascular disease ; survival

Contact

Principal Investigators:
(in alphabetical order)
David Friedecky, Palacky University Olomouc and Faculty Hospital Olomouc, Czechia
Submitting User: AlesKvasnicka
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

- Dataset Reanalyses


+ Dataset History


GNPS content goes here (MSV000090646 [task=e1476ef1ce8848dbab832fde625958f4])
Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
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.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
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 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.