Language

English

Publication Date

4-7-2026

Journal

Circulation

DOI

10.1161/CIRCULATIONAHA.125.077579

PMID

41944041

PMCID

PMC13137975

PubMedCentral® Posted Date

4-7-2026

PubMedCentral® Full Text Version

Post-print

Abstract

Background: Exercise unmasks limitations in multi-organ system reserve capacity characteristic of heart failure with preserved ejection fraction (HFpEF). However, the metabolic and genetic underpinnings of exercise deficits, and their cumulative contribution to HFpEF severity and prognosis, remain incompletely understood.

Methods: We used invasive cardiopulmonary exercise testing (iCPET), metabolite profiling, and genomics to simultaneously characterize seven exercise physiologic deficits in HFpEF patients: reduced exercise stroke volume and heart rate, steep pulmonary capillary wedge pressure/cardiac output (PCWP/CO) slope, elevated pulmonary vascular resistance, pulmonary mechanical limitation to exercise, impaired peripheral oxygen extraction, and obesity-related exaggerated metabolic cost of initiating exercise. We first mapped the distribution, functional, and prognostic significance of these exercise deficits. We then applied LASSO regression to identify metabolite signatures of each exercise deficit, and measured the relation of these signatures with clinical-demographic features, cardiac magnetic resonance imaging, and incident HF in 6345 individuals in the Multi-Ethnic Study of Atherosclerosis (MESA) study with ≈20-year follow-up. Finally, we mapped deficit-implicated metabolites to tissue-specific genetic variation in ≈2M individuals with HF, and in the largest genome-wide association study (GWAS) studies of HFpEF comorbidities (obesity, renal disease, diabetes) to evaluate shared metabolic mechanisms of HFpEF pathophysiology.

Results: Our iCPET HFpEF cohort (61.7±14.1 years, 54% female, BMI 30.6±6.7 kg/m2 ) exhibited a broad range of compound cardiac and extra-cardiac exercise deficits. Individuals with ≥5 exercise deficits had a nearly 4-fold higher hazard of incident cardiovascular event or mortality (HR 3.90, 95% CI 1.74-8.75, P< 0.0001). The metabolite signature of exercise PCWP/CO slope conferred a HR of 1.43 per SD increment, 95% CI 1.20-1.71, P< 0.001 for incident HF in MESA. Addition of all iCPET deficit metabolic signatures in a single model yielded ≈20% continuous net reclassification improvement over traditional HFpEF risk factors. Genes implicated by the exercise deficit metabolome were enriched in the HF GWAS (≈2M) and shared with obesity, renal dysfunction, and diabetes, highlighting a lifelong shared predisposition to HF (including HFpEF) and its comorbidities.

Conclusions: Organ-specific responses to exercise and their circulating metabolite signatures are strongly linked to HFpEF development and prognosis. These results offer a paradigm for parsing HFpEF subphenotypes and prioritizing metabolic mechanisms of HFpEF.

Keywords

diastole, exercise test, genomics, heart failure, hemodynamics, metabolomics, prognosis, risk assessment

Published Open-Access

yes

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