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Comprehensive assessment of novel cardiovascular biomarkers in AF

Amelie H Ohlrogge, Daniel Engler, Patricia Schlieker, Ferdinand Seum, Kim Rosebrock, Nicole Nebel, Dora Csengeri, Larissa Fabritz, André Ziegler, Stefan Blankenberg, Paulus Kirchhof, Tanja Zeller, Renate B Schnabel

Abstract

AIMS: Biomarkers have the potential to improve risk prediction beyond clinical characteristics. We examined the association of four emerging cardiovascular biomarkers [angiopoietin 2 (Angpt2), bone morphogenetic protein 10 (BMP10), fibroblast growth factor 23 (FGF23), insulin-like growth factor binding protein 7 (IGFBP7)] in comparison with N-terminal pro B-type natriuretic peptide (NT-proBNP) across the disease course of atrial fibrillation (AF).

METHODS AND RESULTS: We enrolled patients from a prospective cohort of patients at risk of AF or with manifest arrhythmia. The circulating vascular biomarkers were quantified using high-throughput, high-precision precommercial assays (Roche Diagnostics). A combined endpoint comprised: stroke, transient ischaemic attack (TIA), myocardial infarction, incident coronary heart disease, heart failure, and all-cause mortality. Of the total n = 1047 individuals, n = 527 had prevalent AF, and n = 507 were free of AF at baseline. Median follow-up was 42 months. A total of n = 66 individuals died; the combined endpoint occurred in n = 198 individuals. All five biomarkers were significantly associated with the incidence of AF, both in multistate analysis (MSA) and Cox regression, although the association with FGF23 was only significant in the age- and sex-adjusted Cox model. AF recurrence was significantly associated with all biomarkers, most strongly with NT-proBNP. In prevalent AF, NT-proBNP, FGF23, and IGFBP7 were associated with the combined endpoint and all-cause mortality, and Angpt2 was associated with all-cause mortality. NT-proBNP showed the strongest association for all-cause mortality, and IGFBP7 for the combined endpoint in prevalent AF. In incident AF the association with the combined outcome was statistically significant for NT-proBNP in multivariable-adjusted models. All-cause mortality in individuals with incident AF was associated with NT-proBNP, Angpt2, FGF23, and IGFBP7 both in the MSA and Cox model.

CONCLUSION: All novel biomarkers Angpt2, BMP10, FGF23, and IGFBP7 showed predictive value for incident and recurrent AF. Individual biomarkers showed distinct strengths in prediction of outcomes across the disease spectrum of AF.

Fördermittel

We acknowledge financial support from the Open Access Publication Fund of UKE - Universitätsklinikum Hamburg-Eppendorf. A.H.O. is supported by the German Heart Foundation/German Foundation of Heart Research. D.C. received a research grant from the Wolfgang Seefried Project funding of the German Heart Foundation. L.F. acknowledges support by European Union grant agreement 633196 (CATCH ME), grant agreement 847770 (AFFECT-AF), and European Union grant agreement 965286 (MAESTRIA), British Heart Foundation (AA/18/2/34218), German Center for Cardiovascular Research supported by the German Ministry of Education and Research (DZHK), and the National Institute for Health and Care Research (NIHR). P.K. has been partially supported by European Union (BigData@Heart, grant agreement EU IMI 116074; AFFECT-AF, grant agreement 847770; MAESTRIA,grant agreement 965286), British Heart Foundation (PG/17/30/32961 and PG/20/22/35093; AA/18/2/34218), German Centre for Cardiovascular Research supported by the German Federal Ministry of Education and Research (DZHK), and Leducq Foundation. R.B.S. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under the grant agreement 648131, from the European Union’s Horizon 2020 research and innovation programme under the grant agreement 847770 (AFFECT-EU) and German Center for Cardiovascular Research (DZHK e.V.) (81Z1710103 and 81Z0710114), and from the German Federal Ministry of Research and Education (BMBF 01ZX1408A) and ERACoSysMed3 (031L0239). A.H.O. is supported by the German Heart Foundation/German Foundation of Heart Research. D.C. received a research grant from the Wolfgang Seefried Project funding of the German Heart Foundation. L.F. acknowledges support by European Union grant agreement 633196 (CATCH ME), grant agreement 847770 (AFFECT-AF), and European Union grant agreement 965286 (MAESTRIA), British Heart Foundation (AA/18/2/34218), German Center for Cardiovascular Research supported by the German Ministry of Education and Research (DZHK), and the National Institute for Health and Care Research (NIHR). P.K. has been partially supported by European Union (BigData@Heart, grant agreement EU IMI 116074; AFFECT-AF, grant agreement 847770; MAESTRIA,grant agreement 965286), British Heart Foundation (PG/17/30/32961 and PG/20/22/35093; AA/18/2/34218), German Centre for Cardiovascular Research supported by the German Federal Ministry of Education and Research (DZHK), and Leducq Foundation. R.B.S. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under the grant agreement 648131, from the European Union’s Horizon 2020 research and innovation programme under the grant agreement 847770 (AFFECT-EU) and German Center for Cardiovascular Research (DZHK e.V.) (81Z1710103 and 81Z0710114), and from the German Federal Ministry of Research and Education (BMBF 01ZX1408A) and ERACoSysMed3 (031L0239). We acknowledge financial support from the Open Access Publication Fund of UKE - Universitätsklinikum Hamburg-Eppendorf.

TrägerTrägernummer
Deutsche Herzstiftung
National Institute for Health and Care Research
Deutsche Stiftung für Herzforschung
Deutsches Zentrum für Herz-Kreislaufforschung
AFFECT-EU
Universitätsklinikum Hamburg-Eppendorf
Fondation Leducq
European Research Council
Bundesministerium für Forschung, Technologie und Raumfahrt01ZX1408A, ERACoSysMed3, 031L0239
Horizon 2020 Framework Programme648131
European Commission847770, 633196, 965286, IMI 116074
British Heart FoundationAA/18/2/34218
AFFECT-AFPG/20/22/35093, PG/17/30/32961
EUIMI 116074
German Center for Cardiovascular Research81Z1710103, 81Z0710114

    UN SDGs

    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gesundheit und Wohlergehen
      SDG 3 – Gesundheit und Wohlergehen

    Strategische Forschungsbereiche und Zentren

    • Zentren: Universitäres Herzzentrum Lübeck (UHZL)
    • Querschnittsbereich: Medizinische Genetik

    DFG-Fachsystematik

    • 2.22-12 Kardiologie, Angiologie
    • 2.22-03 Humangenetik
    • 2.11-05 Allgemeine Genetik und funktionelle Genomforschung

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