Metabolomics to predict heart failure development: A new frontier?

医学 图书馆学 边疆 健康科学 家庭医学 人文学科 医学教育 政治学 艺术 法学 计算机科学
作者
Giorgia Panichella,Daniela Tomasoni,Alberto Aimo
出处
期刊:European Journal of Heart Failure [Elsevier BV]
卷期号:26 (7): 1655-1658
标识
DOI:10.1002/ejhf.3281
摘要

European Journal of Heart FailureEarly View Invited Editorial Metabolomics to predict heart failure development: A new frontier? Giorgia Panichella, Giorgia Panichella Cardiology Division, Careggi University Hospital, Florence, ItalySearch for more papers by this authorDaniela Tomasoni, Daniela Tomasoni Cardiology, ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, ItalySearch for more papers by this authorAlberto Aimo, Corresponding Author Alberto Aimo [email protected] [email protected] Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy Corresponding author. Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, and Cardiology Division, Fondazione Toscana Gabriele Monasterio, Piazza Martiri della Libertà 33, 56124 Pisa, Italy. Tel: +39 347 7084391, Email: [email protected], [email protected]Search for more papers by this author Giorgia Panichella, Giorgia Panichella Cardiology Division, Careggi University Hospital, Florence, ItalySearch for more papers by this authorDaniela Tomasoni, Daniela Tomasoni Cardiology, ASST Spedali Civili and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, ItalySearch for more papers by this authorAlberto Aimo, Corresponding Author Alberto Aimo [email protected] [email protected] Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy Cardiology Division, Fondazione Toscana Gabriele Monasterio, Pisa, Italy Corresponding author. Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, and Cardiology Division, Fondazione Toscana Gabriele Monasterio, Piazza Martiri della Libertà 33, 56124 Pisa, Italy. Tel: +39 347 7084391, Email: [email protected], [email protected]Search for more papers by this author First published: 07 May 2024 https://doi.org/10.1002/ejhf.3281 The opinions expressed in this article are not necessarily those of the Editors of the European Journal of Heart Failure or of the European Society of Cardiology. doi: 10.1002/ejhf.3226. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al.; ESC Scientific Document Group. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur J Heart Fail 2022; 24: 4–131. https://doi.org/10.1002/ejhf.2333 10.1002/ejhf.2333 PubMedWeb of Science®Google Scholar 2Kannel WB, D'Agostino RB, Silbershatz H, Belanger AJ, Wilson PWF, Levy D. Profile for estimating risk of heart failure. Arch Intern Med 1999; 159: 1197–1204. https://doi.org/10.1001/archinte.159.11.1197 10.1001/archinte.159.11.1197 CASPubMedWeb of Science®Google Scholar 3Butler J, Kalogeropoulos A, Georgiopoulou V, Belue R, Rodondi N, Garcia M, et al.; Health ABC Study. 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J Am Coll Cardiol 2019; 73: 2388–2397. https://doi.org/10.1016/j.jacc.2019.02.057 10.1016/j.jacc.2019.02.057 PubMedWeb of Science®Google Scholar 7Delles C, Rankin NJ, Boachie C, McConnachie A, Ford I, Kangas A, et al. Nuclear magnetic resonance-based metabolomics identifies phenylalanine as a novel predictor of incident heart failure hospitalisation: Results from PROSPER and FINRISK 1997. Eur J Heart Fail 2018; 20: 663–673. https://doi.org/10.1002/ejhf.1076 10.1002/ejhf.1076 CASPubMedWeb of Science®Google Scholar 8Andersson C, Liu C, Cheng S, Wang TJ, Gerszten RE, Larson MG, et al. Metabolomic signatures of cardiac remodelling and heart failure risk in the community. ESC Heart Fail 2020; 7: 3707–3715. https://doi.org/10.1002/ehf2.12923 10.1002/ehf2.12923 PubMedWeb of Science®Google Scholar 9Tahir UA, Katz DH, Zhao T, Ngo D, Cruz DE, Robbins JM, et al. Metabolomic profiles and heart failure risk in black adults: Insights from the Jackson Heart Study. Circ Heart Fail 2021; 14:e007275. https://doi.org/10.1161/CIRCHEARTFAILURE.120.007275 10.1161/CIRCHEARTFAILURE.120.007275 CASPubMedWeb of Science®Google Scholar 10Oexner RR, Ahn H, Theofilatos K, Shah RA, Schmitt R, Chowienczyk P, et al. Serum metabolomics improves risk stratification for incident heart failure. Eur J Heart Fail. https://doi.org/10.1002/ejhf.3226 Published online ahead of print 16/04/24. 10.1002/ejhf.3226 Google Scholar 11Glatz JFC, Nabben M, Young ME, Schulze PC, Taegtmeyer H, Luiken JJFP. Re-balancing cellular energy substrate metabolism to mend the failing heart. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165579. https://doi.org/10.1016/j.bbadis.2019.165579 10.1016/j.bbadis.2019.165579 CASPubMedWeb of Science®Google Scholar 12Aimo A, Georgiopoulos G, Panichella G, Vergaro G, Passino C, Emdin M, et al. High-sensitivity troponins for outcome prediction in the general population: A systematic review and meta-analysis. Eur J Intern Med 2022; 98: 61–68. https://doi.org/10.1016/j.ejim.2022.01.012 10.1016/j.ejim.2022.01.012 CASPubMedGoogle Scholar 13Georgiopoulos G, Aimo A, Barison A, Magkas N, Emdin M, Masci PG. Imaging predictors of incident heart failure: A systematic review and meta-analysis. J Cardiovasc Med (Hagerstown) 2021; 22: 378–387. https://doi.org/10.2459/JCM.0000000000001133 10.2459/JCM.0000000000001133 PubMedWeb of Science®Google Scholar 14Moura B, Aimo A, al-Mohammad A, Flammer A, Barberis V, Bayes-Genis A, et al. Integration of imaging and circulating biomarkers in heart failure: A consensus document by the Biomarkers and Imaging Study Groups of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2021; 23: 1577–1596. https://doi.org/10.1002/ejhf.2339 10.1002/ejhf.2339 PubMedWeb of Science®Google Scholar 15Zhao X, Sui Y, Ruan X, Wang X, He K, Dong W, et al. A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features. Clin Epigenetics 2022; 14: 11. https://doi.org/10.1186/s13148-022-01232-8 10.1186/s13148-022-01232-8 CASPubMedGoogle Scholar 16Guo M, Guo G, Ji X. Genetic polymorphisms associated with heart failure: A literature review. J Int Med Res 2016; 44: 15–29. https://doi.org/10.1177/0300060515604755 10.1177/0300060515604755 CASPubMedGoogle Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation
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