Individuals with systolic heart failure are at risk of ventricular arrhythmias and all-cause mortality. Little is known regarding the mechanisms underlying these events. We sought to better understand if oxylipins, a diverse class of lipid metabolites derived from the oxidation of polyunsaturated fatty acids, were associated with these outcomes in recipients of primary prevention implantable cardioverter defibrillators (ICDs).
Among 479 individuals from the PROSE-ICD study, baseline serum were analyzed and quantitatively profiled for 35 known biologically relevant oxylipin metabolites. Associations with ICD shocks for ventricular arrhythmias and all-cause mortality were evaluated using Cox proportional hazards models.
Six oxylipins, 17,18-DiHETE (HR = 0.83, 95% CI 0.70 to 0.99 per SD change in oxylipin level), 19,20-DiHDPA (HR = 0.79, 95% CI 0.63 to 0.98), 5,6-DiHETrE (HR = 0.73, 95% CI 0.58 to 0.91), 8,9-DiHETrE (HR = 0.76, 95% CI 0.62 to 0.95), 9,10-DiHOME (HR = 0.81, 95% CI 0.65 to 1.00), and PGF1α (HR = 1.33, 95% CI 1.04 to 1.71) were associated with the risk of appropriate ICD shock after multivariate adjustment for clinical factors. Additionally, 4 oxylipin-to-precursor ratios, 15S-HEPE / FA (20:5-ω3), 17,18-DiHETE / FA (20:5-ω3), 19,20-DiHDPA / FA (20:5-ω3), and 5S-HEPE / FA (20:5-ω3) were positively associated with the risk of all-cause mortality.
In a prospective cohort of patients with primary prevention ICDs, we identified several novel oxylipin markers that were associated with appropriate shock and mortality using metabolic profiling techniques. These findings may provide new insight into the potential biologic pathways leading to adverse events in this patient population.
Citation: Zhang Y, Guallar E, Blasco-Colmenares E, Harms AC, Vreeken RJ, Hankemeier T, et al. (2016) Serum-Based Oxylipins Are Associated with Outcomes in Primary Prevention Implantable Cardioverter Defibrillator Patients. PLoS ONE 11(6): e0157035. https://doi.org/10.1371/journal.pone.0157035
Editor: Pankaj K. Singh, University of Nebraska Medical Center, UNITED STATES
Received: February 4, 2016; Accepted: May 24, 2016; Published: June 9, 2016
Copyright: © 2016 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Ethical considerations and patient confidentiality make data unsuitable for public deposition as study participants did not consent to have their data publicly available. However, the data underlying our work can be obtained upon request provided that the individual requesting it has a specific and clearly defined need for the data by contacting the corresponding author.
Funding: This work was supported by the Donald W. Reynolds Foundation and the National Institutes of Health [R01 HL103946 to AC and R01 HL091062 to GFT]. RJV is currently employed by Janssen R&D. His work in this project predated his employment with Janssen. Janssen R&D did not support nor had any input in this work.
Competing interests: AC has received honoraria from Boston Scientific, Medtronic and St. Jude Medical for participation in fellows’ educational programs and advisory boards. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All other authors have nothing relevant to disclose.
Abbreviations: AA, arachidonic acid; CKD, chronic kidney disease; COX, cyclooxygenase; CRT, cardiac resynchronization therapy; CYP450, cytochrome P450; DGLA, dihomo-γ-linolenic acid; DHA, docosahexaenoic acid; ECG, electrocardiogram; eGFR, estimated glomerular filtration rate; EPA, eicosapentaenoic acid; ICD, implantable cardioverter-defibrillator; ISTD, internal standard; LA, linoleic acid; LOX, lipoxygenase; MRM, multiple reaction monitoring; NYHA, New York Heart Association; PUFA, poly unsaturated fatty acid; PROSE-ICD, Prospective Observational Study of Implantable Cardioverter-Defibrillators; SCD, Sudden cardiac death
In the US, approximately 3 million people have heart failure with reduced ejection fraction and are potentially eligible for implantation of a defibrillator (ICD) for primary prevention of sudden cardiac death (SCD) [1–2]. However, among primary prevention ICD patients, only a fraction receive appropriate ICD shocks prior to death [3–4], highlighting the limited specificity of current risk stratification techniques and incomplete understanding of biological processes that trigger ventricular arrhythmias. Efforts aimed to identify serum-based protein biomarkers for prediction of appropriate ICD shocks and all-cause mortality have demonstrated only modest prognostic power [5–8]. Hence, there is substantial interest in identifying novel risk factors and prognostic markers to improve current risk prediction, disease prevention, and to guide more effective therapeutic strategies.
The metabolic milieu of cardiomyocytes, both from normal and diseased hearts, contributes to the generation of arrhythmias associated with SCD [9–11]. Recent advancement in the metabolic profiling technique allows high-throughput quantitative assessment of thousands of small-molecule metabolites found in the serum , and has been used to identify novel biomarkers in several disease processes including coronary heart disease and diabetes [13–14]. Several cross-sectional studies have also applied metabolic profiling in heart failure patients in whom metabolic alterations have been reported [15–16]. However, the clinical value of metabolic profiling in predicting future adverse events (e.g., ventricular arrhythmias and/or mortality) in these patients is largely unexplored.
Oxylipins, a diverse class of lipid metabolites derived from the oxidation of polyunsaturated fatty acids, are potent endogenous signaling molecules involved in the regulation of various metabolic processes such as inflammation, thrombosis, lipid management, blood pressure regulation, and hemostasis [17–19]. In an effort to explore the role of oxylipin metabolites in predicting the risk of ventricular arrhythmias and all-cause mortality, we performed metabolic profiling of baseline sera from a prospective cohort of systolic heart failure patients undergoing ICD implantation for primary prevention of SCD. The aim was to identify novel biomarkers that might serve as new predictors of adverse events and to gain additional insights into the pathophysiology of disease in this patient population.
Materials and Methods
Study Population, Data Collection and Follow-Up
The Prospective Observational Study of Implantable Cardioverter-Defibrillators (PROSE-ICD) is a multicenter study of systolic heart failure patients receiving a primary prevention ICD. Enrollment was conducted at four United States clinical centers from 2003 to 2013 . Details of the study design have been described previously [20–21]. Among the 1,189 participants enrolled in the PROSE-ICD study, sufficient baseline blood sera for metabolic profiling of oxylipins were available in 479 subjects. This study was approved by the Johns Hopkins Investigational Review Board (IRB) and all participants provided IRB-approved written informed consent.
At enrollment, all participants underwent a comprehensive medical history, cardiovascular examination, and fasting blood collection . Peripheral blood is collected and allowed to stand at room temperature for 1 hour to minimize the variance in the time from collection to processing. Blood in nonanticoagulated tubes is centrifuged at 1500 rpm for 5 minutes. The serum is then transferred into tubes containing 200 to 500 μL aliquots, frozen in liquid nitrogen and stored at −80°C.
After enrollment, patients were evaluated (either in person or by phone) every 6 months and after any patient-perceived ICD shock. For this analysis, patients were followed for events through June 1, 2015. The primary endpoint was appropriate ICD shock defined as a shock delivered for rapid ventricular tachyarrhythmias. The secondary endpoint was all-cause mortality, which was obtained by next-of-kin phone interviews and National Death Index queries. Arrhythmic events were adjudicated by two cardiac electrophysiologists blinded to patient information. Disagreements were reconciled by a third electrophysiologist.
Methodologies for oxylipin analysis have been previously described . For oxylipin analysis, 250 μL aliquots were taken. After thawing on ice, the samples were treated immediately with antioxidants (0.2 mg BHT/EDTA) and spiked with internal standards (ISTDs). Samples were analyzed by liquid chromatography (Agilent 1260, San Jose, CA) coupled to electrospray ionization on a triple quadrupole mass spectrometer (Agilent 6460, San Jose, CA). To detect the individual oxylipins, multiple reaction monitoring (MRM) in negative ion mode was performed with individually optimized fragmentor voltage and collision energies (Optimizer application, MassHunter, Agilent). MRM transitions were achieved by flow injection of pure standards and the optimizer application and were compared to literature when available for the certain compounds. Peak determination and peak area integration was performed with Mass Hunter Quan (Agilent, Version B.04.00) while auto-integration was manually inspected and corrected if necessary. The obtained peak areas of targets were corrected by appropriate internal standards and calculated response ratios (i.e., peak area of oxylipin target / peak area of ISTD; unit free) were used throughout the analysis.
Metabolites with levels below the lower limits of detection were imputed with a value of the lower limit of detection (for the given compound) divided by 2. Metabolites with a significant amount of missing values (>25%) were excluded from the analysis. Due to the skewed distribution of the oxylipins, values were log-transformed to approximate a normal distribution and subsequently standardized to have a mean of 0 and standard deviation of 1. For each oxylipin, we also calculated the oxylipin-to-precursor ratio as the ratio may provide information above and beyond their individual components (for example, the ratios may serve as a proxy for the activity of conversion enzymes). Similar to oxylipins, all oxylipin-to-precursor ratios were also log-transformed and standardized to have a mean of 0 and standard deviation of 1.
To identify associations of each oxylipin and oxylipin-precursor ratio with the study endpoints, we used the Cox proportional hazards regression to calculate the hazard ratios (HR) associated with every standard deviation (SD) change in the log-transformed oxylipin level. For all analyses, we used two models with covariates added sequentially. The first model was adjusted for age, sex, race, and enrollment center. The second model was further adjusted for ejection fraction, NYHA class, cardiomyopathy etiology, atrial fibrillation, diabetes, hypertension, and CKD. We also performed sensitivity analyses further adjusting for ECG markers (QRS, QTc) and medications (aspirin, ACE-I/ARB, beta-blocker, diuretics, and aldosterone antagonist), and found no significant differences in the results (data not shown). Since the nature of this analysis is largely exploratory, nominal p-values from the Cox regression models were reported. STATA version 12 (StataCorp LP, College Station, Texas) was used for all analyses.
The average age of participants at baseline was 60.1 ± 12.8 years. Men comprised of 72.9% of the study population and 62.6% were Caucasians (Table 1). After a median follow-up of 6.3 years, 69 participants experienced an appropriate ICD shock (incidence rate 3.1 per 100 person-years), and 161 participants died (incidence rate 5.5 per 100 person-years). The majority of participants who died did not experience an appropriate ICD shock (135 out of 161, 84%). Participants who had an appropriate shock during follow-up were less likely to be hypertensive (Table 1). Participants who died were more likely to be older, male, Caucasian, and to have NYHA Class III symptoms, ischemic cardiomyopathy, and higher burden of comorbidities including atrial fibrillation, diabetes, hypertension, and chronic kidney disease (Table 2).
Six oxylipins, 17,18-DiHETE (HR = 0.83, 95% CI 0.70 to 0.99 per SD change in log-transformed oxylipin level), 19,20-DiHDPA (HR = 0.79, 95% CI 0.63 to 0.98), 5,6-DiHETrE (HR = 0.73, 95% CI 0.58 to 0.91), 8,9-DiHETrE (HR = 0.76, 95% CI 0.62 to 0.95), 9,10-DiHOME (HR = 0.81, 95% CI 0.65 to 1.00), and PGF1α (HR = 1.33, 95% CI 1.04 to 1.71) were associated with the risk of appropriate ICD shock after adjusting for age, sex, race, enrollment center, smoking status, body mass index, ejection fraction, NYHA class, atrial fibrillation, diabetes, hypertension, and chronic kidney disease (Fig 1). None of the oxylipins was significantly associated with the risk of all-cause mortality.
Models were adjusted for age, sex, race, enrollment center, ejection fraction, NYHA class, cardiomyopathy etiology, atrial fibrillation, diabetes, hypertension, and chronic kidney disease.
We found similar patterns of associations between oxylipin-precursor ratios and the risk of appropriate shocks for the oxylipins mentioned above (Fig 2). Additionally, 4 oxylipin-to-precursor ratios, 15S-HEPE / FA(20:5- ω3) (HR = 1.28, 95% CI 1.06 to 1.55), 17,18-DiHETE / FA (20:5-ω3) (HR = 1.24, 95% CI 1.05 to 1.46), 19,20-DiHDPA / FA (20:5-ω3) (HR = 1.27, 95% CI 1.06 to 1.51), and 5S-HEPE / FA(20:5- ω3) (HR = 1.21, 95% CI 1.02 to 1.44), were positively associated with the risk of all-cause mortality.
Using metabolic profiling, we identified 6 oxylipins (17,18-DiHETE, 19,20-DiHDPA, 5,6-DiHETrE, 8,9-DiHETrE, 9,10-DiHOME and PGF1α) that were associated with the risk for appropriate ICD shocks in a prospective cohort of primary prevention ICD patients, suggesting a role as novel markers of ventricular arrhythmias. Additionally, the ratios of 4 oxylipins to their precursors were positively associated with all-cause mortality. These associations remained true even after adjustment for several demographic variables.
The metabolic environment represents a collection of downstream products from various biological processes in which the cardiomyocytes are continuously exposed. Research has shown that abnormal myocardial metabolic activity and excessive oxidative stress can modulate ion channel / transporter dysfunction that predisposes to ventricular arrhythmias and SCD . The largest body of evidence concerning the role of metabolites in arrhythmogenesis and SCD comes from the literature on lipid metabolism. Fatty acid levels were positively associated with SCD in a large observational study , and abnormalities in fatty acid metabolism were associated with sudden unexpected deaths in infants and children [23–24]. In contrast to free fatty acids and their metabolites, elevation of circulating n-3 poly unsaturated fatty acid (PUFA) levels is associated with a reduction in the risk of SCD in several observational studies [25–27].
Oxylipins are bioactive metabolites derived from the oxygenation of PUFAs such as arachidonic acid (AA), linoleic acid (LA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and dihomo-γ-linolenic acid (DGLA) . Different precursor PUFAs are transformed into a variety of oxylipins by three main classes of enzymes: cyclooxygenase (COX), lipoxygenase (LOX), and cytochrome P450 (CYP450) . Recent advancements in mass spectrometry have allowed for quantitative evaluation of approximately 100 oxylipins down to low nanomolar concentration levels . Leveraging this new lipidomic profiling technique, we identified several oxylipins that were associated with future risks of ventricular arrhythmias and mortality. These findings suggest that these oxylipins may serve as novel biomarkers or therapeutic targets for adverse events in this patient population.
Although the role of many oxylipins in cardiovascular disease is still uncertain, accumulating evidence suggests that they play an important role in the progression of cardiovascular risk factors, inflammation, and thrombosis [17, 19, 22]. Five of the 6 oxylipins identified in our study were metabolites generated through the CYP450 pathway . CYP450 eicosanoids have been shown to be involved in the regulation of vascular tone, cardiac contractility, cellular proliferation, and inflammation . CYP450 enzymes convert AA to a family of epoxyeicosatrienoic acids including 5(6)-epoxyeicosatrienoic acid [5(6)-EpETrE] and 8(9)-EpETrE . These EpETrEs are potent modulators of vasodilatation, angiogenesis, ion conductance, and anti-inflammatory and antithrombotic processes [19, 29–30]. Once formed, they are rapidly metabolized by the soluble epoxide hydrolase (sEH) enzyme to corresponding downstream dihydroxyeicosatrienoic acids (DiHETrEs) . Indeed, our study found inverse associations of 5,6-DiHETrE and 8,9-DiHETrE, stable hydrolysis products of the 5(6)-EpETrE and 8(9)-EpETrE, with the risk of appropriate ICD shock. A study in a mouse model has shown that 5,6-DiHETrE and 8,9-DiHETrE can produce dose-dependent vasodilatation by modulating the bioavailability of nitric oxide (NO) via endothelial NO synthase . Furthermore, in a lipidomics study of 16 healthy male volunteers characterizing the temporal changes in peripheral blood inflammatory compounds, 5,6-DiHETrE and 8,9-DiHETrE levels were elevated after treatment with the non-steroidal anti-inflammatory drug ibuprofen, suggesting their potential role in anti-inflammatory modulation . Similarly, the levels of 5,6-DiHETrE were increased after intervention with diclofenac in another study of overweight and obese men .
Oxylipins 9,10-DiHOME, 17,18-DiHETE and 19,20-DiHDPA are stable metabolites of LA, EPA and DHA, respectively, that are produced through the CYP450 pathways . The actions of these oxylipins are still poorly understood, but some studies have shown that 17,18-EpETE, an intermediate metabolite of 17,18-DiHETE, has concentration-dependent vasodilatation effects on the pulmonary and cerebral arteries [33–34], has anti-inflammatory effects in human lung tissue , and exert negative chronotropic effects and protects neonatal rat cardiomyocytes against Ca2+ overload . Additionally, 19,20-EpDPE, an intermediate metabolite of 19,20-DiHDPA, has been shown to decrease Ca2+ sensitivity in human pulmonary arteries . Our study found inverse associations of 17,18-DiHETE and 19,20-DiHDPA with the risk of appropriate shock. Interestingly, we also observed positive associations between the ratios of 17,18-DiHETE and 19,20-DiHDPA to their precursors and all-cause mortality. These findings may suggest that a higher conversion rate of these oxylipins might be associated with worse survival, but further experimental and clinical studies are needed to better understand the underlying mechanisms.
PGF1α is a biosynthesis product of DGLA via the COX pathway . In our study, it was the only oxylipin that was positively associated with the risk of appropriate ICD shocks. Prior studies have reported that PGF1α could modulate the contraction and relaxation of vascular smooth muscle from the arterial strips  and increase coronary blood flow and myocardial contractile force . In an anesthetized dog model, injection of PGF1α intravertebrally caused an increase of blood pressure and tachycardia, whereas intravenous or intracarotid infusion of the same dose of PGF1α had no effect. These findings suggest that PGF1α has little direct effect on heart rate but may affect heart rate indirectly through a reflex stimulation or inhibition on the sympathetic and vagal nerves [40–41]. Beyond these observations, the exact mechanism underlying the association between PGF1α and appropriate shock is unknown.
Additionally, we found positive associations between the ratios of 5S-HEPE and 15S-HEPE to their respective precursors and the risk of mortality. Both 5S-HEPE and 15S-HEPE were metabolites of EPA via the LOX pathway . These LOX metabolites may have anti-inflammatory effects and play an important role in the resolution phase of inflammation . In a lipidomics study of 5 patients undergoing cardiac surgery, levels of 5-HEPE were increased 24 hours after the surgery compared to before surgery . It has also been shown that individuals with hyperlipidemia had higher levels of 5-HEPE . Similarly, animal study has demonstrated the potential anti-inflammatory property of 15-HEPE in inflammatory skin disorders .
Several limitations of our study need to be considered. Since our study was by nature observational, we could only identify associations but not establish causal links between oxylipins and outcomes. Although our study included a large cohort of systolic hear failure patients with primary prevention ICDs, it may be still underpowered to detect associations with outcomes as relatively few patients experienced these events. Given the nature of our cohort, findings from this analysis may not be applicable to patients at high risk for sudden death but with preserved left ventricular function.
In a prospective cohort of patients with primary prevention ICDs, we identified several novel oxylipin markers that were associated with appropriate shock and all-cause mortality using metabolic profiling technique. Additional studies are required to confirm these findings in other patient populations and to better understand the exact mechanisms underlying the associations between oxylipins and SCD.
Conceived and designed the experiments: YZ EG EBC ACH RJV TH AC. Performed the experiments: ACH RJV TH. Analyzed the data: YZ EG EBC RJV TH GFT AC. Contributed reagents/materials/analysis tools: YZ EG EBC ACH RJV TH GFT AC. Wrote the paper: YZ AC. Critical review and editing of the manuscript: YZ EG EBC ACH RJV TH GFT AC.
- 1. Epstein AE, Dimarco JP, Ellenbogen KA, Estes NA 3rd, Freedman RA, Gettes LS, et al. ACC/AHA/HRS 2008 guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities: executive summary. Heart Rhythm. 2008;5(6):934–55. Epub 2008/06/07. S1547-5271(08)00464-5 [pii] pmid:18534377.
- 2. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke statistics—2015 update: a report from the American Heart Association. Circulation. 2015;131(4):e29–322. Epub 2014/12/19. CIR.0000000000000152 [pii] pmid:25520374.
- 3. Moss AJ, Zareba W, Hall WJ, Klein H, Wilber DJ, Cannom DS, et al. Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N Engl J Med. 2002;346(12):877–83. Epub 2002/03/22. NEJMoa013474 [pii]. pmid:11907286.
- 4. Bardy GH, Lee KL, Mark DB, Poole JE, Packer DL, Boineau R, et al. Amiodarone or an implantable cardioverter-defibrillator for congestive heart failure. N Engl J Med. 2005;352(3):225–37. Epub 2005/01/22. 352/3/225 [pii] pmid:15659722.
- 5. Fishman GI, Chugh SS, Dimarco JP, Albert CM, Anderson ME, Bonow RO, et al. Sudden cardiac death prediction and prevention: report from a National Heart, Lung, and Blood Institute and Heart Rhythm Society Workshop. Circulation. 2010;122(22):2335–48. Epub 2010/12/15. 122/22/2335 [pii] pmid:21147730; PubMed Central PMCID: PMC3016224.
- 6. Singh JP, Hall WJ, McNitt S, Wang H, Daubert JP, Zareba W, et al. Factors influencing appropriate firing of the implanted defibrillator for ventricular tachycardia/fibrillation: findings from the Multicenter Automatic Defibrillator Implantation Trial II (MADIT-II). J Am Coll Cardiol. 2005;46(9):1712–20. Epub 2005/11/01. S0735-1097(05)01784-5 [pii] pmid:16256874.
- 7. Cygankiewicz I, Gillespie J, Zareba W, Brown MW, Goldenberg I, Klein H, et al. Predictors of long-term mortality in Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) patients with implantable cardioverter-defibrillators. Heart Rhythm. 2009;6(4):468–73. Epub 2009/03/28. S1547-5271(08)01250-2 [pii] pmid:19324304.
- 8. Cheng A, Zhang Y, Blasco-Colmenares E, Dalal D, Butcher B, Norgard S, et al. Protein biomarkers identify patients unlikely to benefit from primary prevention implantable cardioverter defibrillators: findings from the Prospective Observational Study of Implantable Cardioverter Defibrillators (PROSE-ICD). Circ Arrhythm Electrophysiol. 2014;7(6):1084–91. Epub 2014/10/03. CIRCEP.113.001705 [pii] pmid:25273351; PubMed Central PMCID: PMC4336541.
- 9. Jouven X, Charles MA, Desnos M, Ducimetiere P. Circulating nonesterified fatty acid level as a predictive risk factor for sudden death in the population. Circulation. 2001;104(7):756–61. Epub 2001/08/15. pmid:11502698.
- 10. Albert CM, Ma J, Rifai N, Stampfer MJ, Ridker PM. Prospective study of C-reactive protein, homocysteine, and plasma lipid levels as predictors of sudden cardiac death. Circulation. 2002;105(22):2595–9. Epub 2002/06/05. pmid:12045163.
- 11. Yang KC, Kyle JW, Makielski JC, Dudley SC Jr. Mechanisms of sudden cardiac death: oxidants and metabolism. Circ Res. 2015;116(12):1937–55. Epub 2015/06/06. CIRCRESAHA.116.304691 [pii] pmid:26044249; PubMed Central PMCID: PMC4458707.
- 12. Griffin JL, Atherton H, Shockcor J, Atzori L. Metabolomics as a tool for cardiac research. Nat Rev Cardiol. 2011;8(11):630–43. ISI:000296539100005. pmid:21931361
- 13. Shah SH, Bain JR, Muehlbauer MJ, Stevens RD, Crosslin DR, Haynes C, et al. Association of a Peripheral Blood Metabolic Profile With Coronary Artery Disease and Risk of Subsequent Cardiovascular Events. Circ-Cardiovasc Gene. 2010;3(2):207–U33. ISI:000276876400012.
- 14. Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, et al. Metabolite profiles and the risk of developing diabetes. Nat Med. 2011;17(4):448–U83. ISI:000289245100035. pmid:21423183
- 15. Wang J, Li ZF, Chen JX, Zhao HH, Luo LT, Chen C, et al. Metabolomic identification of diagnostic plasma biomarkers in humans with chronic heart failure. Mol Biosyst. 2013;9(11):2618–26. ISI:000325401800004. pmid:23959290
- 16. Cheng ML, Wang CH, Shiao MS, Liu MH, Huang YY, Huang CY, et al. Metabolic Disturbances Identified in Plasma Are Associated With Outcomes in Patients With Heart Failure: Diagnostic and Prognostic Value of Metabolomics. J Am Coll Cardiol. 2015;65(15):1509–20. Epub 2015/04/18. S0735-1097(15)00605-1 [pii] pmid:25881932.
- 17. Tourdot BE, Ahmed I, Holinstat M. The emerging role of oxylipins in thrombosis and diabetes. Front Pharmacol. 2014;4:176. Epub 2014/01/17. pmid:24432004; PubMed Central PMCID: PMC3882718.
- 18. Schuchardt JP, Schmidt S, Kressel G, Dong H, Willenberg I, Hammock BD, et al. Comparison of free serum oxylipin concentrations in hyper- vs. normolipidemic men. Prostaglandins Leukot Essent Fatty Acids. 2013;89(1):19–29. Epub 2013/05/23. S0952-3278(13)00074-4 [pii] pmid:23694766; PubMed Central PMCID: PMC4057063.
- 19. Gleim S, Stitham J, Tang WH, Martin KA, Hwa J. An eicosanoid-centric view of atherothrombotic risk factors. Cell Mol Life Sci. 2012;69(20):3361–80. Epub 2012/04/12. pmid:22491820; PubMed Central PMCID: PMC3691514.
- 20. Cheng A, Dalal D, Butcher B, Norgard S, Zhang Y, Dickfeld T, et al. Prospective observational study of implantable cardioverter-defibrillators in primary prevention of sudden cardiac death: study design and cohort description. J Am Heart Assoc. 2013;2(1):e000083. Epub 2013/03/26. 2/1/e000083 [pii] pmid:23525420; PubMed Central PMCID: PMC3603235.
- 21. Zhang Y, Blasco-Colmenares E, Harms AC, London B, Halder I, Singh M, et al. Serum amine-based metabolites and their association with outcomes in primary prevention implantable cardioverter-defibrillator patients. Europace. 2015. Epub 2015/10/27. euv342 [pii] pmid:26498162.
- 22. Strassburg K, Huijbrechts AML, Kortekaas KA, Lindeman JH, Pedersen TL, Dane A, et al. Quantitative profiling of oxylipins through comprehensive LC-MS/MS analysis: application in cardiac surgery. Anal Bioanal Chem. 2012;404(5):1413–26. ISI:000307957800014. pmid:22814969
- 23. Bonnet D, Martin D, de Lonlay P, Villain E, Jouvet P, Rabier D, et al. Arrhythmias and conduction defects as presenting symptoms of fatty acid oxidation disorders in children. Circulation. 1999;100(22):2248–53. ISI:000083945100010. pmid:10577999
- 24. Saudubray JM, Martin D, de Lonlay P, Touati G, Poggi-Travert F, Bonnet D, et al. Recognition and management of fatty acid oxidation defects: A series of 107 patients. J Inherit Metab Dis. 1999;22(4):488–502. ISI:000080744900012. pmid:10407781
- 25. Christensen JH, Riahi S, Schmidt EB, Molgaard H, Pedersen AK, Heath F, et al. n-3 fatty acids and ventricular arrhythmias in patients with ischaemic heart disease and implantable cardioverter defibrillators. Europace. 2005;7(4):338–44. ISI:000230251200004. pmid:15944091
- 26. Finzi AA, Latini R, Barlera S, Rossi MG, Ruggeri A, Mezzani A, et al. Effects of n-3 polyunsaturated fatty acids on malignant ventricular arrhythmias in patients with chronic heart failure and implantable cardioverter-defibrillators: A substudy of the Gruppo Italiano per lo Studio della Sopravvivenza nell'Insufficienza Cardiaca (GISSI-HF) trial. Am Heart J. 2011;161(2):338–U583. ISI:000287188000019. pmid:21315217
- 27. Albert CM, Campos H, Stampfer MJ, Ridker PM, Manson JE, Willett WC, et al. Blood levels of long-chain n-3 fatty acids and the risk of sudden death. New Engl J Med. 2002;346(15):1113–8. ISI:000174880600003. pmid:11948270
- 28. Roman RJ. P-450 metabolites of arachidonic acid in the control of cardiovascular function. Physiol Rev. 2002;82(1):131–85. ISI:000173028700005. pmid:11773611
- 29. Markworth JF, Vella L, Lingard BS, Tull DL, Rupasinghe TW, Sinclair AJ, et al. Human inflammatory and resolving lipid mediator responses to resistance exercise and ibuprofen treatment. Am J Physiol Regul Integr Comp Physiol. 2013;305(11):R1281–96. Epub 2013/10/04. ajpregu.00128.2013 [pii] pmid:24089379; PubMed Central PMCID: PMC3882565.
- 30. Konkel A, Schunck WH. Role of cytochrome P450 enzymes in the bioactivation of polyunsaturated fatty acids. Bba-Proteins Proteom. 2011;1814(1):210–22. ISI:000285277900025.
- 31. Hercule HC, Schunck WH, Gross V, Seringer J, Leung FP, Weldon SM, et al. Interaction Between P450 Eicosanoids and Nitric Oxide in the Control of Arterial Tone in Mice. Arterioscl Throm Vas. 2009;29(1):54–U149. ISI:000261797200011.
- 32. van Erk MJ, Wopereis S, Rubingh C, van Vliet T, Verheij E, Cnubben NH, et al. Insight in modulation of inflammation in response to diclofenac intervention: a human intervention study. BMC Med Genomics. 2010;3:5. Epub 2010/02/25. 1755-8794-3-5 [pii] pmid:20178593; PubMed Central PMCID: PMC2837611.
- 33. Morin C, Sirois M, Echave V, Rizcallah E, Rousseau E. Relaxing effects of 17(18)-EpETE on arterial and airway smooth muscles in human lung. Am J Physiol-Lung C. 2009;296(1):L130–L9. ISI:000262056900016.
- 34. Hercule HC, Salanova B, Essin K, Honeck H, Falck JR, Sausbier M, et al. The vasodilator 17,18-epoxyeicosatetraenoic acid targets the pore-forming BK alpha channel subunit in rodents. Exp Physiol. 2007;92(6):1067–76. Epub 2007/08/07. expphysiol.2007.038166 [pii] pmid:17675416.
- 35. Morin C, Sirois M, Echave V, Albadine R, Rousseau E. 17,18-epoxyeicosatetraenoic acid targets PPARgamma and p38 mitogen-activated protein kinase to mediate its anti-inflammatory effects in the lung: role of soluble epoxide hydrolase. Am J Respir Cell Mol Biol. 2010;43(5):564–75. Epub 2009/12/17. 2009-0155OC [pii] pmid:20008283.
- 36. Falck JR, Wallukat G, Puli N, Goli M, Arnold C, Konkel A, et al. 17(R),18(S)-epoxyeicosatetraenoic acid, a potent eicosapentaenoic acid (EPA) derived regulator of cardiomyocyte contraction: structure-activity relationships and stable analogues. J Med Chem. 2011;54(12):4109–18. Epub 2011/05/20. pmid:21591683; PubMed Central PMCID: PMC3122156.
- 37. Morin C, Fortin S, Rousseau E. 19,20-EpDPE, a bioactive CYP450 metabolite of DHA monoacyglyceride, decreases Ca(2)(+) sensitivity in human pulmonary arteries. Am J Physiol Heart Circ Physiol. 2011;301(4):H1311–8. Epub 2011/08/09. ajpheart.00380.2011 [pii] pmid:21821782.
- 38. Strong CG, Bohr DF. Effects of prostaglandins E1, E2, A1, and F1-alpha on isolated vascular smooth muscle. Am J Physiol. 1967;213(3):725–33. Epub 1967/09/01. pmid:6036791.
- 39. Willebrands AF, Tasseron SJ. Effect of hormones on substrate preference in isolated rat heart. Am J Physiol. 1968;215(5):1089–95. Epub 1968/11/01. pmid:5687501.
- 40. Lavery HA, Lowe RD, Scroop GC. Cardiovascular effects of prostaglandins mediated by the central nervous system of the dog. Br J Pharmacol. 1970;39(3):511–9. Epub 1970/07/01. pmid:5472202; PubMed Central PMCID: PMC1702610.
- 41. Cuthbert MF. The prostaglandins: pharmacological and therapeutic advances. Philadelphia,: Lippincott; 1973. xi, 332 p. p.
- 42. Miller CC, Ziboh VA, Wong T, Fletcher MP. Dietary supplementation with oils rich in (n-3) and (n-6) fatty acids influences in vivo levels of epidermal lipoxygenase products in guinea pigs. J Nutr. 1990;120(1):36–44. Epub 1990/01/01. pmid:2106017.