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. Hypertension. 2015 Jul;66(1):52-60.
  • Pivin E et al. Inactive matrix Gla-protein is associated with arterial stiffness in an adult population-based study. Hypertension. 2015 Jul;66(1):85-92.
  • Wen-Yi Yang et al. Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population.
    BMC Genetics 2015 16:116
  • Hazebroek MR et al. Prognostic Relevance of Gene-Environment Interactions in Patients With Dilated Cardiomyopathy: Applying the MOGE(S) Classification. J Am Coll Cardiol. 2015 Sep 22;66(12):1313-23.
  • Ravassa S et al. Association of low GLP-1 with oxidative stress is related to cardiac disease and outcome in patients with type 2 diabetes mellitus: a pilot study. Free Radic Biol Med. 2015 Apr;81:1-12.
  • Ravassa S et al. Biomarkers of cardiomyocyte injury and stress identify left atrial and left ventricular remodelling and dysfunction: A population-based study. Int J Cardiol. 2015 Apr 15;185:177-85
 
2014
  • Eschalier R. et al. 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. Urinary proteomic signatures associated with beta-blockade and heart rate in heart transplant recipients. PLoS One. 2018 Sep 24;13(9):e0204439.
  • Ravassa S et al. Biomarker-based phenotyping of myocardial fibrosis identifies patients with heart failure with preserved ejection fraction resistant to the beneficial effects of spironolactone: results from the Aldo-DHF trial. Eur J Heart Fail. 2018 Sep;20(9):1290-1299.
  • Magalhães P et al. Comparison of Urine and Plasma Peptidome Indicates Selectivity in Renal Peptide Handling. Proteomics Clin Appl. 2018 Sep;12(5):e1700163.
  • Ferreira JP et al. Potential Spironolactone effects on collagen metabolism biomarkers in patients with uncontrolled blood pressure. Heart. 2018 Aug 18. pii: heartjnl-2018-313182.
  • Turkieh A et al. Expression and Implication of Clusterin in Left Ventricular Remodeling After Myocardial Infarction. Circ Heart Fail. 2018 Jun;11(6):e004838.
  • 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.
  • G Currie et al. Precision Medicine and Personalized Medicine in Cardiovascular Disease. Adv Exp Med Biol. 2018;1065:589-605
  • de Gonzalo-Calvo D et al. Circulating non-coding RNAs in biomarker-guided cardiovascular therapy: a novel tool for personalized medicine? Eur Heart J. 2018 Apr 24.
  • C Delles 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 Apr;20(4):663-673.
  • 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.
  • C Delles et al. Sex differences in hypertension and other cardiovascular diseases. Journal of Hypertension. 36(4):768–770, APR 2018
  • Frantz S et al. The innate immune system in chronic cardiomyopathy: a European Society of Cardiology (ESC) scientific statement from the Working Group on Myocardial Function of the ESC. Eur J Heart Fail. 2018 Mar;20(3):445-459.
  • Rossignol patrick et al. Spironolactone and Resistant Hypertension in Heart Failure With Preserved Ejection Fraction. Am J Hypertens. 2018 Mar 10;31(4):407-414
  • Ferreira Joao et al. Rationale of the FIBROTARGETS study designed to identify novel biomarkers of myocardial fibrosis. ESC Heart Fail. 2018 Feb;5(1):139-148.
  • Treibel TA et al. Reappraising myocardial fibrosis in severe aortic stenosis – an invasive and non-invasive study in 133 patients. Eur Heart J. 2018 Feb 21;39(8):699-709.
  • G Currie et al. Blood pressure targets in the elderly. J Hypertens. 2018 Feb;36(2):234-236.
  • Treibel TA et al. Prediction of acute coronary syndromes by urinary proteome analysis. 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. Risk for Incident Heart Failure: A Subject-Level Meta-Analysis From the Heart "OMics" in AGEing (HOMAGE) Study. J Am Heart Assoc. 2017 May 2;6(5).
  • Dubois-Deruy E et al. MicroRNAs regulating superoxide dismutase 2 are new circulating biomarkers of heart failure. Scientific Reports 4747
  • Löfsjögård J et al. Prediction of acute coronary syndromes by urinary proteome analysis. Am J Cardiol. 2017 Jun 15;119(12):2042-2048.
  • Htun NM et al. Prediction of acute coronary syndromes by urinary proteome analysis. PLoS One. 2017 Mar 8;12(3):e0172036.
  • Pontillo C and Mischak H. Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease. Clin Kidney J. 2017 Apr;10(2):192-201
  • Cherney D et a. The effect of sodium/glucose cotransporter 2 (SGLT2) inhibition on the urinary proteome. PLoS One. 2017 Oct 30;12(10):e0186910.
  • Pontillo C et a. Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker. Kidney Int Rep. 2017 Nov;2(6):1066-1075.
  • Krochmal M et al. Urinary peptidomics analysis reveals proteases involved in diabetic nephropathy. Scientific Reports 7: 15160.
  • Viereck J et al. Circulating Noncoding RNAs as Biomarkers of Cardiovascular Disease and Injury. Circ Res. 2017 Jan 20;120(2):381-399.
  • Javier Beaumont et al. MicroRNA-19b is associated with myocardial collagen cross-linking and heart failure in patients with severe aortic stenosis. Sci Rep. 2017; 7: 40696
 
2016
  • Rossing K et al. Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction. PLOS ONE. 2016 Jun 16. PubMed
  • Zhang  et al. Diastolic Left Ventricular Function in Relation to Urinary and Serum Collagen Biomarkers in a General Population. Hypertension. 2016 Dec 13
  • Gupta SK et al. Preclinical Development of a MicroRNA-Based Therapy for Elderly Patients With Myocardial Infarction. J Am Coll Cardiol. 2016 Oct 4
  • Shashi KumarGupta et al. Preclinical Development of a MicroRNA-Based Therapy for Elderly Patients With Myocardial Infarction. Journal of the American College of Cardiology 68(14):1557-1571. October 2016
  • Currie G et al. Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy. Curr Diab Rep. 2016 Nov;16(11):104.
  • Rossing K et al. Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction. PLoS One. 2016 Jun 16;11(6):e0157167.
  • Farmakis D et al. Urine proteome analysis in heart failure with reduced ejection fraction complicated by chronic kidney disease: feasibility, and clinical and pathogenetic correlates. Eur J Heart Fail. 2016 Jul;18(7):822-9.
  • Ulf Neisius et al. Urine proteomics in the diagnosis of stable angina. BMC Cardiovascular Disorders BMC series 2016.
  • Currie G et al. Use of Biomarkers in the Evaluation and Treatment of Hypertensive Patients. Curr Hypertens Rep. 2016 Jul;18(7):54.
 
2015
  • Vodovar N et al. Elevated Plasma B-Type Natriuretic Peptide Concentrations Directly Inhibit Circulating Neprilysin Activity in Heart Failure. JACC Heart Fail. 2015 Aug;3(8):629-36.
  • López B et al. Galectin-3 and histological, molecular and biochemical aspects of myocardial fibrosis in heart failure of hypertensive origin. Eur J Heart Fail. 2015 Apr;17(4):385-92
  • López B et al. Circulating biomarkers of myocardial fibrosis: the need for a reappraisal. J Am Coll Cardiol. 2015 Jun 9;65(22):2449-56
  • Ravassa S et al. Biomarkers of cardiomyocyte injury and stress identify left atrial and left ventricular remodelling and dysfunction: A population-based study. Int J Cardiol. 2015 Apr 15;185:177-85.
  • Zhang ZY et al. Urinary Proteome and Systolic Blood Pressure as Predictors of 5-Year Cardiovascular and Cardiac Outcomes in a General Population. Hypertension. 2015 Jul;66(1):52-60.
  • Pejchinovski M et al. Capillary zone electrophoresis on-line coupled to mass spectrometry: A perspective application for clinical proteomics. Proteomics Clin Appl. 2015 Jun;9(5-6):453-68
  • Schanstra JP et al. Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides. J Am Soc Nephrol. 2015 Aug;26(8):1999-2010
 
2014
  • Zhang ZY et al. Left ventricular diastolic function in relation to the urinary proteome: A proof-of-concept study in a general population. Int J Cardiol. 2014 Sep
  • Tomaschitz A et al. Homoarginine, kidney function and cardiovascular mortality risk. Nephrol Dial Transplant. 2014 Mar;29(3):663-71.
  • Tomaschitz A et al. Interplay between sodium and calcium regulatory hormones: a clinically relevant research field. Hypertension. 2014 Feb;63(2):212-4
  • Tomaschitz A et al. Aldosterone and parathyroid hormone interactions as mediators of metabolic and cardiovascular disease. Metabolism. 2014 Jan;63(1):20-31
  • Beaumont J et al. 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. Cardiovasc Diabetol. 2013 Oct 7;12:143.
 
WP6
2019
  • Kuznetsova T et al. Temporal changes in left ventricular longitudinal strain in general population: Clinical correlates and impact on cardiac remodeling. Echocardiography. 2019 Mar;36(3):458-468
  • Zhang ZY et al. Urinary Peptidomic Biomarker for Personalized Prevention and Treatment of Diastolic Left Ventricular Dysfunction. Proteomics Clin Appl. 2019 Jan 11:e1800174.
  • 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.
  • Yu CG et al. Neurocognitive function in relation to blood lead among young men prior to chronic occupational exposure. Scand J Work Environ Health. 2019 Jan 11. pii: 3798.
  • Zhang ZY et al. Diastolic left ventricular function in relation to circulating metabolic biomarkers in a population study. Eur J Prev Cardiol. 2019 Jan;26(1):22-32.
 
2018
  • Yang WY et al. Evidence-based proposal for the number of ambulatory readings required for assessing blood pressure level in research settings: an analysis of the IDACO database. Blood Press. 2018 Dec;27(6):341-350.
  • Wei FF et al. Resistant hypertension. Kardiol Pol. 2018;76(7):1031-1042.
  • Zhang ZY et al. Branched-Chain Amino Acids as Critical Switches in Health and Disease. Hypertension. 2018 Nov;72(5):1012-1022.
  • Wei FF et al. Inactive matrix Gla protein is a novel circulating biomarker predicting retinal arteriolar narrowing in humans. Sci Rep. 2018 Oct 10;8(1):15088.
  • Huang QF et al. Urinary proteomic signatures associated with β-blockade and heart rate in heart transplant recipients. PLoS One. 2018 Sep 24;13(9):e0204439.
  • Blerim M et al. Renal function in relation to low-level environmental lead exposure. Nephrol Dial Transplant. 2018 Aug 27.
  • Cheng YB et al. Association of pulse wave velocity with single nucleotide polymorphisms related to parathyroid hormone. Blood Press. 2018 Aug;27(4):222-230
  • João Pedro Ferreira et al. Potential spironolactone effects on collagen metabolism biomarkers in patients with uncontrolled blood pressure. Heart (British Cardiac Society) 105(4):heartjnl-2018-313182 · August 2018.
  • Tikhonoff V et al. Ambulatory blood pressure and long-term risk for atrial fibrillation. Heart. 2018 Aug;104(15):1263-1270.
  • Ferreira Joao et al. Data-Driven Approach to Identify Subgroups of Heart Failure With Reduced Ejection Fraction Patients With Different Prognoses and Aldosterone Antagonist Response Patterns. Circ Heart Fail. 2018 Jul;11(7):e004926.
  • Huang QF et al. Urinary peptidomic biomarkers of renal function in heart transplant recipients. Nephrol Dial Transplant. 2018 Jul 2.
  • Wei FF et al. Desphospho-uncarboxylated matrix Gla protein is a novel circulating biomarker predicting deterioration of renal function in the general population. Nephrol Dial Transplant. 2018 Jul 1;33(7):1122-1128.
  • Wei FF et al. 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. Doppler indexes of left ventricular systolic and diastolic function in relation to haemodynamic load components in a general population. J Hypertens. 2018 Apr;36(4):867-875.
  • Wei FF et al. Epidemiological and histological findings implicate matrix Gla protein in diastolic left ventricular dysfunction. PLoS One. 2018 Mar; 13(3): e0193967.
  • Lu YC et al. Brachial-ankle pulse wave velocity compared with mean arterial pressure and pulse pressure in risk stratification in a Chinese population. J Hypertens. 2018 Mar;36(3):528-536.
  • Wei FF et al. Cognition in relation to the retinal microcirculation in children born preterm or at term. Early Hum Dev. 2018 Mar;118:1-7.
  •  Wei FF et al. The risk of nephrolithiasis is causally related to inactive matrix Gla protein, a marker of vitamin K status: a Mendelian randomization study in a Flemish population. Nephrol Dial Transplant. 2018 Mar 1;33(3):514-522.
  • Feng YM et al. 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. J Am Heart Assoc. 2018 Feb 8;7(4). pii: e007868.
  • Yang WY et al. ECG voltage in relation to peripheral and central ambulatory blood pressure. American Journal of Hypertension, Volume 31, Issue 2, 12 January 2018, Pages 178–187.
  • Yang WY et al. Association of office and ambulatory blood pressure with blood lead in workers before occupational exposure. J Am Soc Hypertens. 2018 Jan;12(1):14-24.
 
 
2017
  • Yang WY et al. Left ventricular structure and function in relation to environmental exposure to lead and cadmium. J Am Heart Assoc. 2017 Feb 1;6(2).
  • Raaijmakers A et al. Does extremely low birth weight predispose to low-renin hypertension? Hypertension. 2017 Mar;69(3):443-449.
  • Juhanoja EP et al. Outcome driven thresholds for increased home blood pressure variability. Hypertension 2017; 69(4):599-607
  • Kyoko Nomura et al. Renal function in relation to sodium intake: a quantitative review of the literature. Kidney Int. 2017; 92(1):67-78
  • Fadl Elmula FEM et al.  Sham or no sham control: that is the question in trials of renal denervation for resistant hypertension. A systematic meta-analysis. Blood Press. 2017; 26(4):195-203
  • Wen-Yi Yang et al. PEAR1 is not a major susceptibility gene for cardiovascular disease in a Flemish population. BMC Med Genet. 2017; 18: 45.
  • Anke Raaijmakers et al. Catch-up growth in the first two years of life in Extremely Low Birth Weight (ELBW) infants is associated with lower body fat in young adolescence. PLoS One. 2017 Mar 9;12(3):e0173349.
  • Staessen JA et al. Blood pressure measurement anno 2016. Am J Hypertens. 2017 May 1;30(5):453-463.
  • Jacobs L et al. Results of a randomized controlled pilot trial of intravascular renal denervation for management of treatment-resistant hypertension. Blood Press. 2017 Dec;26(6):321-331.
  • Melgarejo JD et al. Prevalence, treatment, and control rates of conventional and ambulatory hypertension across 10 populations in 3 continents. Hypertension. 2017 Jul;70(1):50-58.
  • Augustine N Odili et al. Office and home blood pressures as determinants of electrocardiographic left ventricular hypertrophy among black Nigerians compared with white Flemish. American Journal of Hypertension, Volume 30, Issue 11, 1 November 2017, Pages 1083–1092,
  • Zhen‐Yu Zhang et al. Novel urinary peptidomic classifier predicts indicent heart failure.
    Journal of the American Heart Association. 2017;6:e005432
  • Wei FF et al. Desphospho-uncarboxylated matrix Gla protein is a novel circulating biomarker predicting deterioration of renal function in the general population. Nephrol Dial Transplant. 2017 Aug 25.
  • Ljupcho Efremov et al. Post-processing reproducibility of the structural characteristics of the common carotid artery in a Flemish population. Artery Res. 2017 Sep; 19: 9–17.
  • Zhang ZY et al. A urinary fragment of Mucin-1 subunit α is a novel biomarker associated with renal dysfunction in the general population. Kidney Int Rep. 2017 Sep;2(5):811-820.
  • Cheng YB et al. Independent effects of blood pressure and parathyroid hormone on aortic pulse wave velocity in untreated Chinese patients. J Hypertens. 2017 Sep;35(9):1841-1848.
  • Yang WY et al. Left ventricular function in relation to chronic residential air pollution in a general population. Eur J Prev Cardiol. 2017 Sep;24(13):1416-1428.
  • Huang QF et al. Urinary proteomics in predicting heart transplantation ourcomes (uPROPHET) – Rationale and database description.  PLoS One. 2017 Sep 7;12(9):e0184443.
  • Asayama K et al. Cardiovascular risk associated with white coat hypertension: con side of the argument. Hypertension. 2017 Oct;70(4):676-682.
  • Pontillo C et al. A urinary proteome-based classifier for the early detection of decline in glomerular filtration. Nephrol Dial Transplant. 2017 Sep 1;32(9):1510-1516.
  • Sheng CS et al. Diurnal blood pressure rythmicity in relation to environment and genetic cues in untreated referred patients. Hypertension. 2017 Jan;69(1):128-135. Epub 2016 Nov 7.
  • Jacobs L et al. Risk score for incident heart failure: a subject-level meta-analysis from the Heart 'Omnics' in AGEing (HOMAGE) database. J Am Heart Assoc. 2017 May 2;6(5). pii: e005231.
 
2016
  • Kuznetsova T et al. Additive prognostic value of left ventricular systolic dysfunction in a population-based cohort. Circ Cardiovasc Imaging. 2016 Jul;9(7). pii: e004661.
  • Knez J et al. Association of left ventricular structure and function with peripheral blood mitochondrial DNA content in a general population. Int J Cardiol. 2016 Jul 1;214:180-8.
  • Wei FF et al. Conventional and ambulatory blood pressure as predictors of retinal narrowing. Hypertension. 2016 Aug;68(2):511-20.
  • Zhen-Yu Zhang et al. Diastolic left ventricular function in relation to urinary and serum collagen biomarkers in a general population. PLoS One. 2016; 11(12): e0167582.
  • Hara A et al. Incidence of nephrolithiasis in relation to environmental exposure to lead and cadmium in a population study. Environ Res. 2016 Feb;145:1-8.
  • Ying-Mei Feng et al. Insulin resistance in relation to lipids and inflammation in type-2 patients and non-diabetic people. PLoS One. 2016; 11(4): e0153171.
  • Manunta P et al. Personalized therapy of hypertension: the past and the future. Curr Hypertens Rep. 2016 Mar;18(3):24.
  • Lu YC et al. Quality control of blood pressure phenotype in the Gaoyou population study. Blood Press. 2016 Jun;25(3):162-8.
  • 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.
  • Wei FF et al. Retinal microvascular diameter, a hypertensive-relaited trait in ECG-gated vs non-gated images analyzed by IVAN and SIVA. Hypertens Res. 2016 Dec;39(12):886-892.
  • Persu A et al. STK39 and WNK1 are potential hypertension susceptibility genes in the BELHYPGEN cohort. Medicine (Baltimore). 2016 Apr;95(15):e2968.
  • Boggia J et al. The Diurnal profile of central hemodynamics in a general Uruguayan population. Am J Hypertens. 2016 Jun;29(6):737-46.
  • Fang-Fei Wei et al. Vitamin K dependent protection of renal function in multi-ethnc population studies. EBioMedicine. 2016 Feb; 4: 162–169.
  • Fang-Fei Wei et al. Vitamin-K-dependent protection of renal microvasculature: histopathological studies in normal and diseased kidneys. Pulse (Basel). 2016 Sep; 4(2-3): 85–91.
  • Scheepers LE et al. Xanthine oxidase gene variants and their association with blood pressure and incident hypertension: a population study. J Hypertens. 2016 Nov;34(11):2147-54.
  • Hara A et al. Incidence of nephrolithiasis in relation to environmental exposure to lead and cadmium in a population study. Environ Res. 2016 Feb;145:1-8.
  • Boggia J et al. The diurnal profile of central hemodynamics in a general Uruguayan population. Am J Hypertens. 2016 Jun;29(6):737-46.
  • Lu YC et al. Quality control of blood pressure phenotype in the Gaoyou population study. Blood Press. 2016 Jun;25(3):162-8.
 
2015
  • Hara A et al. Blood pressure in relation to environmental lead exposure in the national health and nutrition examination survey 2003 to 2010. Hypertension. 2015 Jan;65(1):62-9.
  • Franklin SS et al. Masked hypertension : a phenomenon of measurement. Hypertension. 2015 Jan;65(1):16-20.
  • Stolarz-Skrzypek K et al. Reducing salt intake for prevention of cardiovascular disease times are changing. Adv Chronic Kidney Dis. 2015 Mar;22(2):108-15.
  • Niiranen TJ et al. Optimal numbers of days for home blood pressure measurement. Am J Hypertens. 2015 May;28(5):595-603
  • Hara A et al. Study for promotion of health in recycling lead - rationale and design. Blood Press. 2015 Jun;24(3):147-57.
  • Kei Asayama et al. Prognosis in relation to blood pressure variability: con side of the argument.
    Hypertension. 2015;65:1170-1179
  • Zhang L et al. Strategies for classyfying patients base on office, home and ambulatory blood pressure measurement. Hypertension. 2015 Jun;65(6):1258-65.
  • Hazebroek MR et al. Prevalence and prognostic relevance of cardiac involvement in ANCA-associated vasculitis : eosinophilic granulomatosis with polyangiitis and granulomatosis with polyangiitis. Int J Cardiol. 2015 Nov 15;199:170-9
  • Fadl Elmula FE et al. Meta-analysis of randomized controlled trials of renal denervation in treatment-resistant hypertension. Blood Press. 2015;24(5):263-74.
  • Raaijmakers A et al. Design and feasibility of "PREMATurity as predictor of children's Cardiovascular-renal Health" (PREMATCH) : a pilot study. Blood Press. 2015;24(5):275-83.
  • Lucas S. Aparicio et al. Defining thresholds for home blood pressure monitoring in octogenarians.
    Hypertension. 2015;HYPERTENSIONAHA.115.05800
  • Winkler TW et al. The influence of age and sex on genetic associations with adult body size and shape : a large-scale genome-wide interaction study. PLoS Genet. 2015 Oct 1;11(10):e1005378.
 
2014
  • Jacobs L et al.  Heart 'omics' in AGEing (HOMAGE): design, research objectives and characteristics of the common database. J. Biomed Res.. 2014 Sep 28. PubMed
 
WP8
2019
  • de Boer RA et al.Towards better definition, quantification and treatment of fibrosis in heart failure. A scientific roadmap by the committee of translational research of the heart failure association (HFA) of te ESC. Eur J Heart Fail. 2019 Feb 4
 
2018
  • Bayés-Genis A et al. ST2 in Heart Failure. Circ Heart Fail. 2018 Dec;11(12):e005582
  • Maack C et al. Metabolic alterations and therapeutic interventions in heart failure and type 2 diabetes mellitus – a translational research perspective. A state-of-the-art review from the Translational Research Committee of the Heart Failure Association - European Society of Cardiology. Eur Heart J. 2018 Dec 21;39(48):4243-4254
  • González A et al. Myocardial remodeling in hypertension. Towards a new view of hypertensive heart disease. Hypertension 72(3):549-558.  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