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Updated: Jun 7, 2025
Author Spotlight: Exploring the Relationship Between Lipotoxicity and HFpEF
Published on: March 29, 2024
Long-chain polyunsaturated fatty acid-containing phosphatidylcholines predict survival rate in patients after heart
Aleš Kvasnička1,2, Karel Kotaška3, David Friedecký1,2
1Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital, Olomouc, Czech Republic.
Insights
Lipidomics identified specific polyunsaturated phosphatidylcholines (PUFA PC) that predict survival in heart failure (HF) patients. Elevated levels of certain PUFA PC, like PC 42:10, indicate better outcomes, offering potential new biomarkers for HF prognosis.
Area of Science:
- Cardiovascular Research
- Biomarker Discovery
- Lipidomics
Background:
- Heart failure (HF) is a growing concern, especially in older adults.
- Lipids play a critical role in cardiovascular disease (CVD) pathology.
- Lipidomics offers a promising approach for predicting CVD events and mortality.
Purpose of the Study:
- To investigate lipid profiles and eicosanoids for predicting survival in de novo or acute decompensated HF patients.
- To identify novel lipid biomarkers associated with HF patient survival.
- To assess the utility of targeted lipidomics in HF prognosis.
Main Methods:
- Measured eicosanoids and lipid profiles in 50 HF patients (median follow-up 7 months).
- Utilized targeted lipidomic liquid chromatography-mass spectrometry (LC-MS/MS) for lipid quantification.
- Employed sandwich ELISA for eicosanoid determination and discriminant analysis for classification.
Main Results:
- Identified 39 significant lipids from 736, predominantly polyunsaturated phosphatidylcholines (PUFA PC).
- PC 42:10 was significantly elevated in survivors (p=1.44×10⁻⁴) with high predictive accuracy (AUC=0.84).
- Multivariate analysis accurately classified survivors and non-survivors with 90% accuracy.
Conclusions:
- A trend of increased PUFA esterified in PC was observed in surviving HF patients.
- Specific low-abundant PUFA PCs, including PC 42:10 and PC 40:9, suggest potential HF survival biomarkers.
- These findings highlight the role of specific lipid profiles in HF prognosis.
Background:
Heart failure (HF) is becoming an increasingly prevalent issue, particularly among the elderly population. Lipids are closely associated with cardiovascular disease (CVD) pathology. Lipidomics as a comprehensive profiling tool is showing to be promising in the prediction of events and mortality due to CVD as well as identifying novel biomarkers.
Materials And Methods:
In this study, eicosanoids and lipid profiles were measured in order to predict survival in patients with de novo or acute decompensated HF. Our study included 50 patients (16 females, mean age 73 years and 34 males, mean age 71 years) with de novo or acute decompensated chronic HF with a median follow-up of 7 months. Lipids were semiquantified using targeted lipidomic liquid chromatography-mass spectrometry (LC-MS/MS) analysis. Eicosanoid concentrations were determined using a commercially available sandwich ELISA assay.
Results:
From 736 lipids and 3 eicosanoids, 39 significant lipids were selected (by using the Mann-Whitney U test after Benjamini-Hochberg correction) with the highest number of representatives belonging to the polyunsaturated (PUFA) phosphatidylcholines (PC). PC 42:10 (p = 1.44 × 10-4) was found to be the most statistically significantly elevated in the surviving group with receiver operating characteristics of AUC = 0.84 (p = 3.24 × 10-7). A multivariate supervised discriminant analysis based on the aforementioned lipid panel enabled the classification of the groups of surviving and non-surviving patients with 90 % accuracy.
Conclusions:
In the present study we describe a trend in PUFA esterified in PC that were systematically increased in surviving patients with HF. This trend in low-abundant and rarely identified PUFA PC (mainly very long chain PUFA containing PC such as PC 42:10 or PC 40:9 containing FA 22:6, FA 20:5 and FA 20:4) suggests candidate biomarkers.
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