Key result
Extracellular vesicle transcriptomics distinguishes HFrEF as cardiomyocyte-specific versus HFpEF as a broader systemic profile.
Why the study?
Circulating omic markers do not effectively discriminate between HFpEF and HFrEF subtypes, underscoring the need for phenotype-specific markers to assess HF status and multi-organ function.
Observational (n=214)
Plasma extracellular vesicle transcriptomics confirm that HFrEF is characterized by cardiomyocyte-specific alterations, while HFpEF presents a broader, multi-organ systemic transcriptomic signature during acute decompensation.
EV transcriptomics supports divergent HF mechanisms in acute decompensation; hypothesis-generating for subtype-specific diagnostics pending prospective validation.
Heart failure (HF) is a multifactorial disease that poses significant challenges to clinical management.Most efforts to define the molecular architecture of HF have focused on the myocardium, 1 with the aim of identifying potential pathways of recovery and therapeutic interventions.This approach has fueled the debate over the relative contributions of noncardiac factors (such as muscle, vascular, and metabolic) versus cardiac factors to HF, specifically in HF with preserved ejection fraction (HFpEF).Despite literature implicating metabolic dysfunction across multiple systems in HFpEF, circulating "omic" markers (e.g., genomics, proteins) do not effectively discriminate between the HF subtypes (HFpEF vs. HF with reduced ejection fraction, HFrEF).This underscores the need for more phenotype-specific markers to assess HF status and multi-organ function.
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Gokulnath et al. (2024) conducted an observational in Acute Decompensated Heart Failure (HFpEF and HFrEF) (n=214). Extracellular vesicle transcriptomics (RNA-seq) vs. Non-HF controls was evaluated on Differential expression of extracellular vesicle transcripts between HF subtypes. Extracellular vesicle transcriptomic profiling revealed that HFrEF is marked by a cardiomyocyte-specific signature, whereas HFpEF displays a broader systemic transcriptomic landscape.
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