Evaluation of two highly effective lipid-lowering therapies in subjects with acute myocardial infarction

Aline Klassen, Andrea Tedesco Faccio, Carolina Raissa Costa Picossi, Priscilla Bento Matos Cruz Derogis, Carlos Eduardo Dos Santos Ferreira, Aline Soriano Lopes, Alessandra Sussulini, Elisa Castañeda Santa Cruz, Rafaela Tudela Bastos, Stefanie Caroline Fontoura, Antonio Martins Figueiredo Neto, Marina Franco Maggi Tavares, Maria Cristina Izar, Francisco Antonio Helfenstein Fonseca, Aline Klassen, Andrea Tedesco Faccio, Carolina Raissa Costa Picossi, Priscilla Bento Matos Cruz Derogis, Carlos Eduardo Dos Santos Ferreira, Aline Soriano Lopes, Alessandra Sussulini, Elisa Castañeda Santa Cruz, Rafaela Tudela Bastos, Stefanie Caroline Fontoura, Antonio Martins Figueiredo Neto, Marina Franco Maggi Tavares, Maria Cristina Izar, Francisco Antonio Helfenstein Fonseca

Abstract

For cardiovascular disease prevention, statins alone or combined with ezetimibe have been recommended to achieve low-density lipoprotein cholesterol targets, but their effects on other lipids are less reported. This study was designed to examine lipid changes in subjects with ST-segment elevation myocardial infarction (STEMI) after two highly effective lipid-lowering therapies. Twenty patients with STEMI were randomized to be treated with rosuvastatin 20 mg QD or simvastatin 40 mg combined with ezetimibe 10 mg QD for 30 days. Fasting blood samples were collected on the first day (D1) and after 30 days (D30). Lipidomic analysis was performed using the Lipidyzer platform. Similar classic lipid profile was obtained in both groups of lipid-lowering therapies. However, differences with the lipidomic analysis were observed between D30 and D1 for most of the analyzed classes. Differences were noted with lipid-lowering therapies for lipids such as FA, LPC, PC, PE, CE, Cer, and SM, notably in patients treated with rosuvastatin. Correlation studies between classic lipid profiles and lipidomic results showed different information. These findings seem relevant, due to the involvement of these lipid classes in crucial mechanisms of atherosclerosis, and may account for residual cardiovascular risk.Randomized clinical trial: ClinicalTrials.gov, NCT02428374, registered on 28/09/2014.

Conflict of interest statement

The authors declare no competing interests.

© 2021. The Author(s).

Figures

Figure 1
Figure 1
Evaluation of clinical results for the infarcted patients under investigation. G1: Patients randomized to the rosuvastatin group at the first day of myocardial infarction (D1); G2: Patients treated by rosuvastatin after 30 days (D30); G3: Patients randomized to the simvastatin + ezetimibe group at the first day of myocardial infarction (D1); G4: Patients treated by simvastatin plus ezetimibe after 30 days (D30). Total cholesterol (TC), low density lipoprotein—cholesterol (LDL-C), high density lipoprotein—cholesterol (HDL-C) and triglycerides (TG*). Figure was created in Minitab 17.0 (Minitab Statistical Software; URL: https://www.minitab.com/pt-br/)) and Microsoft PowerPoint 2013 (URL: https://www.microsoft.com/pt-br/microsoft-powerpoint-2013).
Figure 2
Figure 2
Evaluation of lipid classes for the infarcted patients under evaluation itemized by class (a) and by group (b). CE cholesterol ester, Cer ceramides, FA free fat acids, LPC lysophosphatidylcholine, LPE lysophosphatidylethanolamine, PC phosphatidyl choline, PE phosphatidylethanolamine, SM sphingomyelin, TG triacylglycerides; group labels as in Fig. 1. Figure was created in Minitab 17.0 (Minitab Statistical Software; URL: https://www.minitab.com/pt-br/) and Microsoft PowerPoint 2013 (URL: https://www.microsoft.com/pt-br/microsoft-powerpoint-2013). ±Mean Value.
Figure 3
Figure 3
Pearson’s correlation of lipid classes concentrations and clinical parameters. (a) for rosuvastatin treatment at D1 (G1), (b) for simvastatin plus ezetimibe treatment at D1 (G3), (c) for rosuvastatin treatment (G2) at D30, and (d) for simvastatin plus ezetimibe treatment at D30 (G4). Figure was created in R 3.6.3 (The R Project for Statistical Computing; https://www.r-project.org/packages: corrplot, Hmisc, RColorBrewer, Cairo).
Figure 4
Figure 4
OPLS-DA scores plot (PC1 vs PC2) of all infarcted patients in the four groups considered. G1: Patients randomized to the rosuvastatin group at first day after myocardial infarction (D1); G2: Patients treated by rosuvastatin after 30 days of treatment (D30); G3: Patients randomized to the simvastatin plus ezetimibe group at the first day after myocardial infarction (D1); G4: Patients treated by simvastatin plus ezetimibe after 30 days (D30). Figure was created in SIMCA 16 (Statistical Software Package, Umetrics, Sweden; URL: http://umetrics.com/product/simca).
Figure 5
Figure 5
Discriminant lipids from multivariate (VIP > 1) and univariate analysis (repeated measures ANOVA). (a) % change of metabolites considering the temporal treatment effect (*metabolite statistically significant are highlighted with black borders); (b) % of change of metabolites considering the lipid-lowering therapy effect (*metabolite statistically significant are highlighted with black border); (c) Venn Diagram considering lipid-lowering therapy; (d) Venn Diagram considering temporal treatment effect. Figure was created in Microsoft Excel 2013 (URL: https://www.microsoft.com/pt-br/microsoft-excel-2013) and Microsoft PowerPoint 2013 (URL: https://www.microsoft.com/pt-br/microsoft-powerpoint-2013).

References

    1. Baigent C, et al. Efficacy and safety of more intensive lowering of LDL cholesterol: A meta-analysis of data from 170 000 participants in 26 randomised trials. Lancet. 2010 doi: 10.1016/S0140-6736(10)61350-5.
    1. Schwartz GG, et al. Alirocumab and cardiovascular outcomes after acute coronary syndrome. N. Engl. J. Med. 2018 doi: 10.1056/NEJMoa1801174.
    1. Schwartz GG. Effects of atorvastatin on early recurrent ischemic events in acute coronary syndromes. The MIRACL study: A randomized controlled trial. JAMA. 2001 doi: 10.1001/jama.285.13.1711.
    1. Cannon CP, et al. Ezetimibe added to statin therapy after acute coronary syndromes. N. Engl. J. Med. 2015;372:2387–2397. doi: 10.1056/NEJMoa1410489.
    1. Sutter I, et al. Decreased phosphatidylcholine plasmalogens—A putative novel lipid signature in patients with stable coronary artery disease and acute myocardial infarction. Atherosclerosis. 2016 doi: 10.1016/j.atherosclerosis.2016.01.003.
    1. Koivuniemi A. The biophysical properties of plasmalogens originating from their unique molecular architecture. FEBS Lett. 2017 doi: 10.1002/1873-3468.12754.
    1. Wang X, Huang H, Su C, Zhong Q, Wu G. Cilostazol ameliorates high free fatty acid (FFA)-induced activation of NLRP3 inflammasome in human vascular endothelial cells. Artif. Cells Nanomed. Biotechnol. 2019;47:3704–3710. doi: 10.1080/21691401.2019.1665058.
    1. Duewell P, et al. NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals. Nature. 2010 doi: 10.1038/nature08938.
    1. Ghanim H, et al. Ezetimibe and simvastatin combination inhibits and reverses the pro-inflammatory and pro-atherogenic effects of cream in obese patients. Atherosclerosis. 2017 doi: 10.1016/j.atherosclerosis.2017.06.010.
    1. Choi JM, Kim TE, Cho JY, Lee HJ, Jung BH. Development of lipidomic platform and phosphatidylcholine retention time index for lipid profiling of rosuvastatin treated human plasma. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2014 doi: 10.1016/j.jchromb.2013.10.029.
    1. Triba MN, et al. PLS/OPLS models in metabolomics: The impact of permutation of dataset rows on the K-fold cross-validation quality parameters. Mol. Biosyst. 2015;11:13–19. doi: 10.1039/C4MB00414K.
    1. Mahley RW. Cellular and molecular biology of lipoprotein metabolism in atherosclerosis. Diabetes. 1981;30:60–65. doi: 10.2337/diab.30.2.S60.
    1. Jiao P, et al. FFA-induced adipocyte inflammation and insulin resistance: Involvement of ER stress and IKKβ pathways. Obesity. 2011 doi: 10.1038/oby.2010.200.
    1. Blasiole DA, Davis RA, Attie AD. The physiological and molecular regulation of lipoprotein assembly and secretion. Mol. Biosyst. 2007;3:608–619. doi: 10.1039/b700706j.
    1. van der Veen JN, et al. The critical role of phosphatidylcholine and phosphatidylethanolamine metabolism in health and disease. Biochim. Biophys. Acta - Biomembr. 2017;1859:1558–1572. doi: 10.1016/j.bbamem.2017.04.006.
    1. Patel D, Witt SN. Ethanolamine and phosphatidylethanolamine: Partners in health and disease. Oxid. Med. Cell. Longev. 2017;2017:4829180. doi: 10.1155/2017/4829180.
    1. Zhang J, et al. PM2.5-induced inflammation and lipidome alteration associated with the development of atherosclerosis based on a targeted lipidomic analysis. Environ. Int. 2020;136:105444. doi: 10.1016/j.envint.2019.105444.
    1. Vasile VC, et al. Ceramide scores predict cardiovascular risk in the community. Arterioscler. Thromb. Vasc. Biol. 2021 doi: 10.1161/ATVBAHA.120.315530.
    1. Li Q, et al. Associations between plasma ceramides and mortality in patients with coronary artery disease. Atherosclerosis. 2020 doi: 10.1016/j.atherosclerosis.2020.09.004.
    1. Ding M, Rexrode KM. A review of lipidomics of cardiovascular disease highlights the importance of isolating lipoproteins. Metabolites. 2020 doi: 10.3390/metabo10040163.
    1. Libby P. Mechanisms of acute coronary syndromes and their implications for therapy. N. Engl. J. Med. 2013 doi: 10.1056/NEJMra1216063.
    1. Erasmus D. Chapter 15. New Testam. Scholarsh. 2016;1730:227–236.
    1. Ridker PM, et al. Modulation of the interleukin-6 signalling pathway and incidence rates of atherosclerotic events and all-cause mortality: Analyses from the Canakinumab Anti-Inflammatory Thrombosis Outcomes Study (CANTOS) Eur. Heart J. 2018 doi: 10.1093/eurheartj/ehy310.
    1. Sobczak AIS, Blindauer CA, Stewart AJ. Changes in plasma free fatty acids associated with type-2 diabetes. Nutrients. 2019;11:2. doi: 10.3390/nu11092022.
    1. Rogero MM, Calder PC. Obesity, inflammation, toll-like receptor 4 and fatty acids. Nutrients. 2018;10:1–19. doi: 10.3390/nu10040432.
    1. Ghosh A, Gao L, Thakur A, Siu PM, Lai CWK. Role of free fatty acids in endothelial dysfunction. J. Biomed. Sci. 2017 doi: 10.1186/s12929-017-0357-5.
    1. Carpentier AC. Abnormal myocardial dietary fatty acid metabolism and diabetic cardiomyopathy. Can. J. Cardiol. 2018 doi: 10.1016/j.cjca.2017.12.029.
    1. Sahebkar A, et al. Statin therapy and plasma free fatty acids: A systematic review and meta-analysis of controlled clinical trials. Br. J. Clin. Pharmacol. 2016;81:807–818. doi: 10.1111/bcp.12854.
    1. Matsumoto T, Kobayashi T, Kamata K. Role of lysophosphatidylcholine (LPC) in atherosclerosis. Curr. Med. Chem. 2007 doi: 10.2174/092986707782793899.
    1. Tanaka H, et al. Lysophosphatidylcholine acyltransferase-3 expression is associated with atherosclerosis progression. J. Vasc. Res. 2017 doi: 10.1159/000473879.
    1. Law SH, et al. An updated review of lysophosphatidylcholine metabolism in human diseases. Int. J. Mol. Sci. 2019;20:1–24. doi: 10.3390/ijms20051149.
    1. Fernandez C, et al. Plasma lipid composition and risk of developing cardiovascular disease. PLoS ONE. 2013;8:2.
    1. Mundra PA, et al. Large-scale plasma lipidomic profiling identifies lipids that predict cardiovascular events in secondary prevention. JCI insight. 2018 doi: 10.1172/jci.insight.121326.
    1. Khaw K, Friesen MD, Riboli E, Luben R, Wareham N. Plasma phospholipid fatty acid concentration and incident coronary heart disease in men and women: The EPIC-Norfolk prospective study. PLoS Med. 2012;9(7):e1001255. doi: 10.1371/journal.pmed.1001255.
    1. Ward-caviness CK, et al. Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers. Heart. 2017 doi: 10.1136/heartjnl-2016-310789.
    1. Yeboah J, et al. Association of plasma sphingomyelin levels and incident coronary heart disease events in an adult population: Multi-ethnic study of atherosclerosis. Arterioscler. Thromb. Vasc. Biol. 2010 doi: 10.1161/ATVBAHA.109.199281.
    1. Bergheanu SC, et al. Lipidomic approach to evaluate rosuvastatin and atorvastatin at various dosages: Investigating differential effects among statins. Curr. Med. Res. Opin. 2008 doi: 10.1185/03007990802321709.
    1. Lee H, et al. Regulation of Endogenic Metabolites by Rosuvastatin in Hyperlipidemia Patients: An Integration of Metabolomics and Lipidomics. Chemistry and Physics of Lipids. Elsevier Ireland Ltd; 2018.
    1. Ng TWK, et al. Dose-dependent effects of rosuvastatin on the plasma sphingolipidome and phospholipidome in the metabolic syndrome. J. Clin. Endocrinol. Metab. 2014;99:E2335–E2340. doi: 10.1210/jc.2014-1665.
    1. Stegemann C, et al. Lipidomics profiling and risk of cardiovascular disease in the prospective population-based bruneck study. Circulation. 2014;129:1821–1831. doi: 10.1161/CIRCULATIONAHA.113.002500.
    1. Sigruener A, et al. Glycerophospholipid and sphingolipid species and mortality: The Ludwigshafen risk and cardiovascular health (LURIC) study. PLoS ONE. 2014 doi: 10.1371/journal.pone.0085724.
    1. Alshehry ZH, et al. Plasma lipidomic profiles improve on traditional risk factors for the prediction of cardiovascular events in type 2 diabetes mellitus. Circulation. 2016 doi: 10.1161/CIRCULATIONAHA.116.023233.
    1. Cheng JM, et al. Plasma concentrations of molecular lipid species in relation to coronary plaque characteristics and cardiovascular outcome: Results of the ATHEROREMO-IVUS study. Atherosclerosis. 2015 doi: 10.1016/j.atherosclerosis.2015.10.022.
    1. Anroedh S, et al. Plasma concentrations of molecular lipid species predict long-term clinical outcome in coronary artery disease patients. J. Lipid Res. 2018 doi: 10.1194/jlr.P081281.
    1. Laaksonen R, et al. Plasma ceramides predict cardiovascular death in patients with stable coronary artery disease and acute coronary syndromes beyond LDL-cholesterol. Eur. Heart J. 2016 doi: 10.1093/eurheartj/ehw148.
    1. Yun KH, Shin S, Ko JS, Rhee SJ. Rosuvastatin-induced high-density lipoprotein changes in patients who underwent percutaneous coronary intervention for non-ST-segment elevation acute coronary syndrome. J. Cardiol. 2012;60:383–388. doi: 10.1016/j.jjcc.2012.07.008.
    1. Catapano AL, et al. Lipid-altering efficacy of the ezetimibe/simvastatin single tablet versus rosuvastatin in hypercholesterolemic patients. Curr. Med. Res. Opin. 2006;22:2041–2053. doi: 10.1185/030079906X132721.
    1. Malone JK, Kerr LF, Campaigne BN, Sachson RA, Holcombe JH. Combined therapy with insulin lispro mix 75/25 plus metformin or insulin glargine plus metformin: A 16-week, randomized, open-label, crossover study in patients with type 2 diabetes beginning insulin therapy. Clin. Ther. 2004;26:2034–2044. doi: 10.1016/j.clinthera.2004.12.015.
    1. Choi JM, Kim TE, Cho JY, Lee HJ, Jung BH. Development of lipidomic platform and phosphatidylcholine retention time index for lipid profiling of rosuvastatin treated human plasma. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2014;944:157–165. doi: 10.1016/j.jchromb.2013.10.029.
    1. Pitt B, Loscalzo J, Yčas J, Raichlen JS. Lipid levels after acute coronary syndromes. J. Am. Coll. Cardiol. 2008 doi: 10.1016/j.jacc.2007.11.075.
    1. Rai S, Bhatnagar S. Novel lipidomic biomarkers in hyperlipidemia and cardiovascular diseases: An integrative biology analysis. Omi. A J. Integr. Biol. 2017;21:132–142. doi: 10.1089/omi.2016.0178.
    1. Fonseca FAH, et al. Effects of four antiplatelet/statin combined strategies on immune and inflammatory responses in patients with acute myocardial infarction undergoing pharmacoinvasive strategy: Design and rationale of the B and T types of lymphocytes evaluation in acute my. Trials. 2017;18:2. doi: 10.1186/s13063-017-2361-1.
    1. Pikó P, et al. Obesity-related changes in human plasma lipidome determined by the lipidyzer platform. Biomolecules. 2021;11:1–20. doi: 10.3390/biom11020326.
    1. Franko, et al. Dissociation of fatty liver and insulin resistance in I148M PNPLA3 carriers: Differences in diacylglycerol (DAG) FA18:1 lipid species as a possible explanation. Nutrients. 2018;10(9):1314. doi: 10.3390/nu10091314.
    1. Cao Z, et al. Evaluation of the performance of lipidyzer platform and its application in the lipidomics analysis in mouse heart and liver. J. Proteome Res. 2020;19:2742–2749. doi: 10.1021/acs.jproteome.9b00289.
    1. Contrepois K, et al. Cross-platform comparison of untargeted and targeted lipidomics approaches on aging mouse plasma. Sci. Rep. 2018 doi: 10.1038/s41598-018-35807-4.
    1. Quell JD, et al. Characterization of bulk phosphatidylcholine compositions in human plasma using side-chain resolving lipidomics. Metabolites. 2019;9:2. doi: 10.3390/metabo9060109.
    1. Alarcon-Barrera JC, et al. Lipid metabolism of leukocytes in the unstimulated and activated states. Anal. Bioanal. Chem. 2020;412:2353–2363. doi: 10.1007/s00216-020-02460-8.
    1. Ubhi BK. Direct infusion-tandem mass spectrometry (DI-MS/MS) analysis of complex lipids in human plasma and serum using the LipidyzerTM platform. Clin. Metabolomics. 2018;1730:227–236. doi: 10.1007/978-1-4939-7592-1_15.
    1. Gika HG, Macpherson E, Theodoridis GA, Wilson ID. Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2008 doi: 10.1016/j.jchromb.2008.05.048.
    1. U.S. Department of Health and Human Services. Food and Drug Administration. Guidance for Industry: Bioanalytical Method Validation. FDA (2001).

Source: PubMed

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