Lipidomic Profiling Identifies Signatures of Poor Cardiovascular Health
Abstract
:1. Introduction
2. Results
2.1. Study Population
2.2. Comparison of Lipid Species across Categories of Behavioral CVH Metrics
2.3. Comparison of Lipid Species across Categories of Clinical CVH Metrics
2.4. Effect of CVH Status on Lipid Profiles
3. Discussion
4. Materials and Methods
4.1. Study Population and Data Collection
4.2. Lipid Extraction and LC-ESI/MS Analysis
4.3. Statistical Analyses
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Lipid Species | Fold-Change | p-Value |
---|---|---|
PC 20.0/20.1 | 0.31 | 0.002 |
PC 20.0/20.3 | 0.45 | 0.003 |
PE 18.0/18.2 | 0.18 | 0.006 |
LPE 22.6 | 0.44 | 0.006 |
LPE 18.0 | 0.39 | 0.006 |
PE 16.0/20.2 | 0.27 | 0.015 |
LPE 16.0 | 0.37 | 0.016 |
PC 18.0/18.0 | 0.43 | 0.025 |
PE 16.0/20.3 | 0.29 | 0.025 |
LPE 20.5 | 0.37 | 0.027 |
PE 18.2/20.2 | 0.29 | 0.027 |
PC 16.0/18.0 | 0.42 | 0.031 |
PE 18.1/22.6 | 0.17 | 0.031 |
PE 16.0/18.2 | 0.31 | 0.039 |
PC 160/202 | 0.44 | 0.041 |
LPC 20.1 | 0.42 | 0.041 |
LPE 18.2 | 0.33 | 0.045 |
PC 18.0/20.0 | 0.44 | 0.049 |
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Rivas Serna, I.M.; Sitina, M.; Stokin, G.B.; Medina-Inojosa, J.R.; Lopez-Jimenez, F.; Gonzalez-Rivas, J.P.; Vinciguerra, M. Lipidomic Profiling Identifies Signatures of Poor Cardiovascular Health. Metabolites 2021, 11, 747. https://doi.org/10.3390/metabo11110747
Rivas Serna IM, Sitina M, Stokin GB, Medina-Inojosa JR, Lopez-Jimenez F, Gonzalez-Rivas JP, Vinciguerra M. Lipidomic Profiling Identifies Signatures of Poor Cardiovascular Health. Metabolites. 2021; 11(11):747. https://doi.org/10.3390/metabo11110747
Chicago/Turabian StyleRivas Serna, Irma Magaly, Michal Sitina, Gorazd B. Stokin, Jose R. Medina-Inojosa, Francisco Lopez-Jimenez, Juan P. Gonzalez-Rivas, and Manlio Vinciguerra. 2021. "Lipidomic Profiling Identifies Signatures of Poor Cardiovascular Health" Metabolites 11, no. 11: 747. https://doi.org/10.3390/metabo11110747