Home About us The project Research program Achievements News & Events Press Publications Links Contact us HOMAGE is a 6-year European research network (Collaborative Project) supported by the European Commission under the Health Cooperation Work Programme of the 7th Framework Programme, under the Grant Agreement n°305507 Publications Editorial board Stratifying Risk using a Bio-marker in Patients with Type-2 Diabetes Mellitus by Prof John GF Cleland DYDA strudy findings: HbA1c a potential biomarker predictive of cardiovascular eventsby Prof Roberto Latini HOMAGE publications WP1 2016 Ferreira J et al. Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives. BMC MED 2016 Nov 10;14(1):181 Sandra Sanders-van Wijk et al. Galectin-3 plasma concentrations for prediction of treatment response to beta-blockade and blockade of the renin-angiotensin-aldosterone system in patients with heart failure and reduced ejection fraction: A derivationvalidation. Clinical Chemistry vol.62 Issue 4. April 2016 2013 Eschalier R et al. Extracellular Matrix Turnover Biomarkers Predict Long-Term Left Ventricular Remodeling After Myocardial Infarction Insights From the REVE-2 Study. Circ Heart Fail. 2013 Nov;6(6):1199-205. WP2 2018 Ferreira JP et al. Echocardiographic diastolic function evolution in patients with an anterior Q-wave myocardial infarction: insights from the REVE-2 study. ESC Heart Fail. 2019 Feb;6(1):70-79. Masson S et al. Circulating microRNA-132 levels improve risk prediction for heart failure hospitalization in patients with chronic heart failure. Eur J Heart Fail. 2018 Jan;20(1):78-85. Gallagher J et al. B-Type Natriuretic Peptide and Ventricular Dysfunction in the Prediction of Cardiovascular Events and Death in Hypertension. Am J Hypertens. 2018 Jan 12;31(2):228-234. 2017 Currie G and Delles C. The Future of "Omics" in Hypertension. Can J Cardiol. 2017 May;33(5):601-610. 2016 Sanders-van Wijk S et al. Interaction of Galectin-3 Concentrations with the Treatment Effects of β-Blockers and RAS Blockade in Patients with Systolic Heart Failure: A Derivation-Validation Study from TIME-CHF and GISSI-HF. Clin Chem. 2016 Apr;62(4):605-16. Ferreira JP et al. Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives. BMC Med. 2016 Nov 10;14(1):181 Gu YM et al. Renal glomerular dysfunction in relation to retinal anteriolar narrowing and high pulse pressure in seniors. Hypertens Res. 2016 Mar;39(3):138-43. Judita Knez et al. Correlates of peripheral blood mitochondrial DNA content in a general population. Am J Epidemiol. 2016 Jan 15; 183(2): 138–146. Huerta A et al. Association of cystatin C with heart failure with preserved ejection fraction in elderly hypertensive patients. Potential role of altered collagen metabolism. J Hypertens. 2016 Jan;34(1):130-8 López B et al. Myocardial collagen cross-linking is associated with hospitalization for heart failure in patients with hypertensive heart failure. Potential usefulness of a circulating biomarker of collagen cross-linking. J Am Coll Cardiol. 2016 Jan 26;67(3):251-60. 2014 Hazebroek MR et al. Diagnostic approach of myocarditis: strike the golden mean. Neth Heart J. 2014 Feb;22(2):80-4. Hohl M et al. Meeting highlights from the 2013 European Society of Cardiology Heart Failure Association Winter Meeting on Translational Heart Failure Research. Eur J Heart Fail. 2014 Jan;16(1):6-14. Gemma Currie and Christian Delles Proteinuria and its relation to cardiovascular disease. Int J Nephrol Renovasc Dis. 2014; 7: 13–24. 2013 Lucas N. L. Van Aelst et al. MicroRNAs as Biomarkers for Ischemic Heart Disease. Journal of Cardiovascular Translational Research August 2013, Volume 6, Issue 4, pp 458–470 WP3 2019 Ristagno G et al. Pentraxin 3 in cardiovascular disease. Front Immunol. in press 2019. John Cleland et al. The year in cardiology 2018: heart failure. Eur Heart J. 2019 Feb 21;40(8):651-661 2018 Rosello Xavier et al. Impact of mineralocorticoid receptor antagonists on the risk of sudden cardiac death in patients with heart failure and left-ventricular systolic dysfunction: an individual patient-level meta-analysis of three randomized-controlled trials. Clin Res Cardiol. 2018 Sep 27 Ferreira Joao et al. Individualizing treatment choices in the systolic blood pressure intervention trial. J Hypertens. 2018 Feb;36(2):428-435 Masson S et al. Circulating microRNA-132 levels improve risk prediction for heart failure hospitalization in patients with chronic heart failure JAHA. Eur J Heart Fail. 2018 Jan;20(1):78-85. 2017 Jacobs L et al. The Heart “OMics” in AGEing (HOMAGE) investigators. Risk for Incident Heart Failure: A Subject‐Level Meta‐Analysis From the Heart “OMics” in AGEing (HOMAGE) Study. JAHA. 2017 May 2. PubMed Pitt B et al. Mineralocorticoid receptor antagonists in patients with heart failure: current experience and future perspectives. Eur Heart J Cardiovasc Pharmacother. 2017 Jan;3(1):48-57. 2016 Ferreira JP et al.; Heart ‘OMics’ in AGEing (HOMAGE) initiative and the High-Risk Myocardial Infarction database initiative. Heart ‘OMics’ in AGEing (HOMAGE) initiative and the High-Risk Myocardial Infarction database initiative. Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives. BioMed Central. 2016 Nov 10. Sanders-van Wijk S et al.; TIME-CHF Investigators and the GISSI-HF Investigators. Interaction of Galectin-3 Concentrations with the Treatment Effects of β-Blockers and RAS Blockade in Patients with Systolic Heart Failure: A Derivation-Validation Study from TIME-CHF and GISSI-HF. Clin Chem. 2016 Apr WP4 2016 Ward A. Heggermont et al. Metabolic support for the heart: complementary therapy for heart failure? European Journal of Heart Failure 18(12) October 2016 Summer, G et al. The Network Library: a framework to rapidly integrate network biology resources. Bioinformatics, Volume 32, Issue 17, 1 September 2016, Pages i473–i478 L. N. L. Van Aelst et al. RNA Profiling in Human and Murine Transplanted Hearts: Identification and Validation of Therapeutic Targets for Acute Cardiac and Renal Allograft Rejection. Am J Transplant. 2016 Jan; 16(1): 99–110 2015 Seronde MF et al. Circulating microRNAs and Outcome in Patients with Acute Heart Failure. PLoS One. 2015 Nov 18;10(11):e0142237. Lemesle G et al. Multimarker proteomic profiling for the prediction of cardiovascular mortality in patients with chronic heart failure. PLoS One. 2015 Apr 23;10(4):e0119265 Dubois-Deruy E et al. Interplay between troponin T phosphorylation and O-N-acetylglucosaminylation in ischaemic heart failure. Cardiovasc Res. 2015 Jul 1;107(1):56-65 Pinet F. et al. [Potential of non-coding RNA as biomarkers in heart failure] Medecine sciences: 31(8-9):770-776 · September 2015 Ho CY et al. Diltiazem treatment for pre-Clinical hypertrophic cardiomyopathy sarcomere mutation carriers: A pilot randomized trial to modify disease expression. JACC Heart Fail. 2015 Feb;3(2):180-8. Ledwidge MT et al. Cost-effectiveness of natriuretic peptide-based screening and collaborative care: a report from the STOP-HF (St Vincent's Screening TO Prevent Heart Failure) study. Eur J Heart Fail. 2015 Jul;17(7):672-9. James S et al. Life expectancy for community-based patients with heart failure from time of diagnosis. Int J Cardiol. 2015 Jan 15;178:268-74. G. Murtagh et al. Importance of risk factor management in diabetic patients and reduction in Stage B heart failure. An International Journal of Medicine, Volume 108, Issue 4, 1 April 2015, Pages 307–314. Liu YP et al. Inactive matrix Gla protein is causally related to adverse health outcomes : a Mendelian randomization study in a Flemish population. Hypertension. 2015 Feb;65(2):463-70. Olivi L et al. PEAR1 is not a human hypertension-susceptibility gene. Blood Press. 2015 Feb;24(1):61-4. Olivi L et al. The - 665 C>T polymorphism in the eNOS gene predicts cardiovascular mortality and morbidity in white Europeans. J Hum Hypertens. 2015 Mar;29(3):167-72. Kuznetsova T et al. Doppler indexes of left ventricular systolic and diastolic flow and central pulse pressure in relatin to renal resistive index. Am J Hypertens. 2015 Apr;28(4):535-45. Gu YM et al. Characteristics and determinants of the sublingual microcirculation in populations of different ethnicity. Hypertension. 2015 May;65(5):993-1001. Ravassa S et al. Biomarkers of cardiomyocyte injury and stress identify left atria and left ventricular remodelling and dysfunction : a population-based study. Int J Cardiol. 2015 Apr 15;185:177-85. Kuznetsova T et al. Longitudinal changes in left ventricular diastolic function in a general population. Circ Cardiovasc Imaging. 2015 Apr;8(4). pii: e002882. Zhang ZY et al.Urinary proteome and systolic blood pressure as predictors of 5-year cardiovasular and cardiac outcomes in a general population. 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Features of Cardiac Remodeling, Associated With Blood Pressure and Fibrosis Biomarkers, Are Frequent in Subjects With Abdominal Obesity. Hypertension. 2014 Apr;63(4):740-6. Jaguszewski M et al. A signature of circulating microRNAs differentiates takotsubo cardiomyopathy from acute myocardial infarction. Eur Heart J. 2014 Apr;35(15):999-1006 Kumarswamy R et al. Circulating long noncoding RNA, LIPCAR, predicts survival in patients with heart failure. Circ Res. 2014 May 9;114(10):1569-75. Morley-Smith AC et al. Circulating microRNAs for predicting and monitoring response to mechanical circulatory support from a left ventricular assist device. Eur J Heart Fail. 2014 Aug;16(8):871-9 WP5 2019 Ravassa S et al. A combination of collagen type I-related circulating biomarkers is associated with atrial fibrillation. Journal of the American College of Cardiology. In press 2019 Martínez-Martínez E et al. Cardiotrophin-1-galectin-3 axis in cardiac fibrosis and inflammation. Mechanistic insights and clinical implications. Hypertension. 2019 Mar;73(3):602-611 Cauwenberghs N et al. Circulating biomarkers predicting longitudinal changes in left ventricular structure and function in a general population. J Am Heart Assoc. 2019 Jan 22;8(2):e010430. 2018 C Delles et al. Utilizing proteomics to understand and define hypertension: where are we and where do we go? Expert Rev Proteomics. 2018; 15(7): 581–592. E Sliz et al. Metabolomic consequences of genetic inhibition of PCSK9 compared with statin treatment. Circulation. 2018 Nov 27;138(22):2499-2512 De Gonzalo-Calvo D et al. Circulating non-coding RNAs as biomarkers to predict and monitor the response to exercise: chances and hurdles. Eur Heart J. 2018 Oct 7;39(38):3552. de Gonzalo-Calvo D et al. Circulating miR-1254 predicts ventricular remodeling in patients with ST-Segment-Elevation Myocardial Infarction: A cardiovascular magnetic resonance study. Sci Rep. 2018 Oct 11;8(1):15115 Huang QF et al. 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European Heart Journal, Volume 39, Issue 8, 21 February 2018, Pages 699–709. Lindhardt M et al. Predicting albuminuria response to spironolactone treatment with urinary proteomics in patients with type 2 diabetes and hypertension. Nephrol Dial Transplant. 2018 Feb 1;33(2):296-303. Ferreira Joao et al. Effect of eplerenone on extracellular cardiac matrix biomarkers in patients with acute ST-elevation myocardial infarction without heart failure: insights from the randomized double-blind REMINDER Study. Clin Res Cardiol. 2018 Jan;107(1):49-59 2017 Viereck J and Thum T. Circulating Noncoding RNAs as Biomarkers of Cardiovascular Disease and Injury. Circ Res. 2017 Jan 20 Pinet F. et al. Integrative network analysis reveals time-dependent molecular events underlying left ventricular remodeling in post-myocardial infarction patients. Biochim Biophys Acta. 2017 Jun;1863(6):1445-1453. Jacobs L et al.; Heart “OMics” in AGEing (HOMAGE) investigators. 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MicroRNA-122 down-regulation may play a role in severe myocardial fibrosis in human aortic stenosis through TGF-β1 up-regulation. Clin Sci (Lond). 2014 Apr;126(7):497-506 López B et al. Association of cardiotrophin-1 with myocardial fibrosis in hypertensive patients with heart failure. Hypertension. 2014 Mar;63(3):483-9. Jaguszewski M et al. A signature of circulating microRNAs differentiates takotsubo cardiomyopathy from acute myocardial infarction. Eur Heart J. 2014 Apr;35(15):999-1006. 2013 Marie Fertin et al. Serum MMP-8: a novel indicator of left ventricular remodeling and cardiac outcome in patients after acute myocardial infarction. PLoS One. 2013; 8(8): e71280. López B et al. Osteopontin-mediated myocardial fibrosis in heart failure. A role for lysyl oxidase ? Cardiovasc Res. 2013 Jul 1;99(1):111-20 Ravassa S et al. The activity of circulating dipeptidyl peptidase-4 is associated with subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus. 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Diagnosis and management of resistant hypertension: state of the art. Nat Rev Nephrol. 2018 Jul;14(7):428-441. Zhang ZY et al. Epidemiologic observations guiding clinical application of a urinary peptidomic marker of diastolic left ventricular dysfunction. J Am Soc Hypertens. 2018 Jun;12(6):438-447.e4. Martens DS et al. Retinal microcirculation and leukocyte telomere length in the general population. Scientific Reports volume 8, Article number: 7095 (2018 May) Ferreira Joao et al. Cohort Profile: Rationale and design of the fourth visit of the STANISLAS cohort: a familial longitudinal population-based cohort from the Nancy region of France. Int J Epidemiol. 2018 Apr 1;47(2):395-395j. Huang QF et al. Biomarkers to Assess Right Heart Pressures in Recipients of a Heart Transplant: A Proof-of-Concept Study. Transplant Direct. 2018 Apr 23;4(5):e346 Cauwenberghs N et al. 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Glomerular function in relation to circulating adhesion molecules and inflammation markers in a general population. Nephrol Dial Transplant. 2018 Mar 1;33(3):426-435. Huang QF et al. Reproducibility of retinal microvascular traits decoded by the Singapore I Vessel Assessment Software across the human age range. Am J Hypertens. 2018 Mar 10;31(4):438-449. Cauwenberghs N et al. Relation of insulin resistance to longitudinal changes in left ventricular structure and function in a general population. Journal of the American Heart Association. 2018 Mar;7 Yang WY et al. Letter to editor: Blood pressure, hypertension and lead exposure. Environmental Health 2018 Feb 17:16. Persu A et al. Blood pressure response to renal denervation is correlated with baseline blood pressure variability: a patient-level meta-analysis. J Hypertens. 2018 Feb;36(2):221-229. Wei FF et al. Conventional and ambulatory blood pressure as predictors of diastolic left ventricular function in a Flemish population. 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September 2018 Bayes-Genis A et al.Transitioning from usual care to biomarker-based personalized and precision medicine in heart failure: call for action. Eur Heart J. 2018 Aug 7;39(30):2793-2799 Home Sitemap Extranet Contact us HOMAGE © Legal notice by ML-Com