Biomarker profiles specific for HFrEF are related to cellular proliferation and metabolism, whereas profiles specific for HFpEF are related to inflammation and extracellular matrix reorganization.
Observational (n=2,348)
What are the distinct pathophysiological mechanisms and biological pathways differentiating HFrEF from HFpEF based on biomarker network analysis?
1,544 heart failure patients (mean age 74 years, 34% female) in an index cohort and 804 in a validation cohort, analyzed to identify unique biomarker pathways in HFrEF versus HFpEF.
Network analysis of 92 biomarkers from different pathophysiological domains
Comparison between HFrEF (LVEF <40%), HFmrEF, and HFpEF (LVEF ≥50%)
Unique biomarker correlations and biological pathways related to HFrEF, HFmrEF, and HFpEFsurrogate
Network analysis of biomarkers reveals distinct pathophysiological pathways in heart failure, with HFrEF driven by cellular proliferation and metabolism, and HFpEF driven by inflammation and extracellular matrix reorganization.
BACKGROUND Information on the pathophysiological differences between heart failure with reduced ejection fraction (HFrEF) versus heart failure with preserved ejection fraction (HFpEF) is needed OBJECTIVES: The purpose of this study was to establish biological pathways specifically related to HFrEF and HFpEF. METHODS The authors performed a network analysis to identify unique biomarker correlations in HFrEF and HFpEF using 92 biomarkers from different pathophysiological domains in a cohort of 1,544 heart failure (HF) patients. Data were independently validated in 804 patients with HF. Networks were enriched with existing knowledge on protein-protein interactions and translated into biological pathways uniquely related to HFrEF, HF with a midrange ejection fraction, and HFpEF. RESULTS In the index cohort (mean age 74 years; 34% female), 718 (47%) patients had HFrEF (left ventricular ejection fraction LVEF <40%) and 431 (27%) patients had HFpEF (LVEF ≥50%). A total of 8 (12%) correlations were unique for HFrEF and 6 (9%) were unique to HFpEF. Central proteins in HFrEF were N-terminal B-type natriuretic peptide, growth differentiation factor-15, interleukin-1 receptor type 1, and activating transcription factor 2, while central proteins in HFpEF were integrin subunit beta-2 and catenin beta-1. Biological pathways in HFrEF were related to DNA binding transcription factor activity, cellular protein metabolism, and regulation of nitric oxide biosynthesis. Unique pathways in patients with HFpEF were related to cytokine response, extracellular matrix organization, and inflammation. Biological pathways of patients with HF with a midrange ejection fraction were in between HFrEF and HFpEF. CONCLUSIONS Network analysis showed that biomarker profiles specific for HFrEF are related to cellular proliferation and metabolism, whereas biomarker profiles specific for HFpEF are related to inflammation and extracellular matrix reorganization. (The BIOlogy Study to TAilored Treatment in Chronic Heart Failure BIOSTAT-CHF; EudraCT 2010-020808-29).
“This combination of greater precision medicine tools and the growing statistical implausibility of sequential negative heart failure trials has led to a breaking point realization: perhaps the fault lies in our current approach to heart failure rather than deficiencies in prior therapeutic strategies.”
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Jasper Tromp
Heart Failure & Transplant
B. Daan Westenbrink
Heart Failure & Transplant
Wouter Ouwerkerk
Heart Failure & Transplant
ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
Journal of the American College of Cardiology
Inserm
University of Groningen
University of Glasgow
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Tromp et al. (Mon,) conducted a observational in Heart failure (n=2,348). Heart failure with reduced ejection fraction (HFrEF) vs. Heart failure with preserved ejection fraction (HFpEF) was evaluated on Unique biomarker correlations and biological pathways. Biomarker profiles specific for HFrEF are related to cellular proliferation and metabolism, whereas profiles specific for HFpEF are related to inflammation and extracellular matrix reorganization.
synapsesocial.com/papers/6a248ec43fb14bc043b74027 — DOI: https://doi.org/10.1016/j.jacc.2018.06.050
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