1,899
Views
2
CrossRef citations to date
0
Altmetric
Research Paper

Human Plasma Metabolomics Identify 9-cis-retinoic Acid and Dehydrophytosphingosine Levels as Novel biomarkers for Early Ventricular Fibrillation after ST-elevated Myocardial Infarction

ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon, , , , ORCID Icon, ORCID Icon, ORCID Icon & show all
Pages 3334-3350 | Received 27 Nov 2021, Accepted 04 Jan 2022, Published online: 30 Jan 2022

References

  • Kolettis TM. Coronary artery disease and ventricular tachyarrhythmia: pathophysiology and treatment. Curr Opin Pharmacol. 2013;13(2):210–217.
  • Di Diego JM, Antzelevitch C. Ischemic ventricular arrhythmias: experimental models and their clinical relevance. Heart Rhythm. 2011;8(12):1963–1968.
  • Aouizerat BE, Vittinghoff E, Musone SL, et al. GWAS for discovery and replication of genetic loci associated with sudden cardiac arrest in patients with coronary artery disease. BMC Cardiovasc Disord. 2011;11(1):29.
  • Hreybe H, Singla I, Razak E, et al. Predictors of cardiac arrest occurring in the context of acute myocardial infarction. Pacing Clin Electrophysiol. 2007;30(10):1262–1266.
  • Gheeraert PJ, De Buyzere ML, Taeymans YM, et al. Risk factors for primary ventricular fibrillation during acute myocardial infarction: a systematic review and meta-analysis. Eur Heart J. 2006;27(21):2499–2510.
  • Mączewski M, Duda M, Marciszek M, et al. Omega-3 Fatty Acids Do Not Protect Against Arrhythmias in Acute Nonreperfused Myocardial Infarction Despite Some Antiarrhythmic Effects. J Cell Biochem. 2016;117(11):2570–2582.
  • Pazoki R, de Jong JS, Marsman RF, et al. SNPs identified as modulators of ECG traits in the general population do not markedly affect ECG traits during acute myocardial infarction nor ventricular fibrillation risk in this condition. PloS One. 2013;8(2):e57216.
  • Barderas MG, Laborde CM, Posada M, et al. Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases. J Biomed Biotechnol. 2011;2011:790132.
  • Lan H, Hong W, Qian D, et al. Quercetin modulates the gut microbiota as well as the metabolome in a rat model of osteoarthritis. Bioengineered. 2021;12(1):6240–6250.
  • Chen J, Zhou Q, Zhang Y, et al. Discovery of novel serum metabolic biomarkers in patients with polycystic ovarian syndrome and premature ovarian failure. Bioengineered. 2021;12(1):8778–8792.
  • Hong W, Mo Q, Wang L, et al. Changes in the gut microbiome and metabolome in a rat model of pulmonary arterial hypertension. Bioengineered. 2021;12(1):5173–5183.
  • Huang L, Li T, Liu YW, et al. Plasma Metabolic Profile Determination in Young ST-segment Elevation Myocardial Infarction Patients with Ischemia and Reperfusion: ultra-performance Liquid Chromatography and Mass Spectrometry for Pathway Analysis. Chin Med J (Engl). 2016;129(9):1078–1086.
  • Thygesen K, Alpert JS, Jaffe AS, et al. Third universal definition of myocardial infarction. J Am Coll Cardiol. 2012;60(16):1581–1598.
  • Huang L, Zhang L, Li T, et al. Human Plasma Metabolomics Implicates Modified 9-cis-Retinoic Acid in the Phenotype of Left Main Artery Lesions in Acute ST-Segment Elevated Myocardial Infarction. Sci Rep. 2018;8(1):12958.
  • Dunn WB, Broadhurst D, Brown M, et al. Metabolic profiling of serum using Ultra Performance Liquid Chromatography and the LTQ-Orbitrap mass spectrometry system. J Chromatogr B Analyt Technol Biomed Life Sci. 2008;871(2):288–298.
  • Katajamaa M, Oresic M. Processing methods for differential analysis of LC/MS profile data. BMC Bioinformatics. 2005;6(1):179.
  • Bagai A, Dangas GD, Stone GW, et al. Reperfusion strategies in acute coronary syndromes. Circ Res. 2014;114(12):1918–1928.
  • Bhar-Amato J, Davies W, Agarwal S. Ventricular Arrhythmia after Acute Myocardial Infarction: ‘The Perfect Storm’. Arrhythm Electrophysiol Rev. 2017;6(3):134–139.
  • Piccini JP, Berger JS, Brown DL. Early sustained ventricular arrhythmias complicating acute myocardial infarction. Am J Med. 2008;121(9):797–804.
  • Luqman N, Sung RJ, Wang CL, et al. Myocardial ischemia and ventricular fibrillation: pathophysiology and clinical implications. Int J Cardiol. 2007;119(3):283–290.
  • Sattler SM, Skibsbye L, Linz D, et al. Ventricular Arrhythmias in First Acute Myocardial Infarction: epidemiology, Mechanisms, and Interventions in Large Animal Models. Front Cardiovasc Med. 2019;6:158.
  • Dekker LR, Bezzina CR, Henriques JP, et al. Familial sudden death is an important risk factor for primary ventricular fibrillation: a case-control study in acute myocardial infarction patients. Circulation. 2006;114(11):1140–1145.
  • Oliva A, Hu D, Viskin S, et al. SCN5A mutation associated with acute myocardial infarction. Legal medicine(Tokyo, Japan). 2009;1 1 Suppl 1.;(Suppl 1):S206–209.
  • Boehringer T, Bugert P, Borggrefe M, et al. SCN5A mutations and polymorphisms in patients with ventricular fibrillation during acute myocardial infarction. Mol Med Rep. 2014;10(4):2039–2044.
  • Jeron A, Hengstenberg C, Holmer S, et al. KCNJ11 polymorphisms and sudden cardiac death in patients with acute myocardial infarction. J Mol Cell Cardiol. 2004;36(2):287–293.
  • Novotny T, Kadlecova J, Raudenska M, et al. Mutation analysis ion channel genes ventricular fibrillation survivors with coronary artery disease. Pacing Clin Electrophysiol. 2011;34(6):742–749.
  • Surendran A, Aliani M, Ravandi A. Metabolomic characterization of myocardial ischemia-reperfusion injury in ST-segment elevation myocardial infarction patients undergoing percutaneous coronary intervention. Sci Rep. 2019;9(1):11742.
  • Lin J, Zhou J, Xie G, et al. Functional analysis of ceRNA network of lncRNA TSIX/miR-34a-5p/RBP2 in acute myocardial infarction based on GEO database. Bioengineered. 2021. DOI:10.1080/21655979.2021.2006865
  • Wu J, Yang R, Zhang L, et al. Metabolomics research on potential role for 9-cis-retinoic acid in breast cancer progression. Cancer Sci. 2018;109(7):2315–2326.
  • Kane MA. Analysis, occurrence, and function of 9-cis-retinoic acid. Biochim Biophys Acta. 2012;1821(1):10–20.
  • Lefebvre P, Benomar Y, Staels B. Retinoid X receptors: common heterodimerization partners with distinct functions. Trends Endocrinol Metab. 2010;21(11):676–683.
  • Nohara A, Kobayashi J, Mabuchi H. Retinoid X receptor heterodimer variants and cardiovascular risk factors. J Atheroscler Thromb. 2009;16(4):303–318.
  • Kihara A. Sphingosine 1-phosphate is a key metabolite linking sphingolipids to glycerophospholipids. Biochim Biophys Acta. 2014;1841(5):766–772.
  • Hla T, Dannenberg AJ. Sphingolipid signaling in metabolic disorders. Cell Metab. 2012;16(4):420–434.
  • Holthuis JC, Pomorski T, Raggers RJ, et al. The organizing potential of sphingolipids in intracellular membrane transport. Physiol Rev. 2001;81(4):1689–1723.
  • Hadas Y, Vincek AS, Youssef E, et al. Altering Sphingolipid Metabolism Attenuates Cell Death and Inflammatory Response After Myocardial Infarction. Circulation. 2020;141(11):916–930.
  • Park JY, Lee SH, Shin MJ, et al. Alteration in metabolic signature and lipid metabolism in patients with angina pectoris and myocardial infarction. PloS One. 2015;10(8):e0135228.
  • Hua T, Bao Q, He X, et al. Lipidomics Revealed Alteration of Sphingolipid Metabolism During the Reparative Phase After Myocardial Infarction Injury. Front Physiol. 2021;12:663480.
  • Kovilakath A, Jamil M, Cowart LA. Sphingolipids in the Heart: from Cradle to Grave. Front Endocrinol (Lausanne). 2020;11:652.
  • How CW, Ong YS, Low SS, et al. How far have we explored fungi to fight cancer? Semin Cancer Biol. 2021. DOI:10.1016/j.semcancer.2021.03.009
  • Zamith-Miranda D, Peres Da Silva R, Couvillion SP, et al. Omics Approaches for Understanding Biogenesis, Composition and Functions of Fungal Extracellular Vesicles. Front Genet. 2021;12:648524.
  • Looi QH, Foo JB, Lim MT, et al. How far have we reached in development of effective influenza vaccine? Int Rev Immunol. 2018;37(5):266–276.
  • Tan KL, Chia WC, How CW, et al. Benchtop Isolation and Characterisation of Small Extracellular Vesicles from Human Mesenchymal Stem Cells. Mol Biotechnol. 2021;63(9):780–791.