Key result
Genetically predicted higher BMI significantly increased the risk of HFpEF (OR 2.10), with effects mediated by specific circulating proteins such as IL1R1.
Why the study?
Although HFpEF frequently coexists with cardiometabolic diseases, the causal mechanisms and potential circulating mediators driving HFpEF remain poorly understood.
Do genetically predicted cardiometabolic diseases increase the risk of HFpEF and HFrEF, and what are the circulating mediators?
Observational
Do genetically predicted cardiometabolic diseases increase the risk of HFpEF and HFrEF, and what are the circulating mediators?
Odds Ratio: 2.1 (95% CI 1.78–2.47)
p-value: p=<0.0001
Obesity and type 2 diabetes have distinct causal effects on HFpEF mediated by specific circulating proteins like IL1R1, highlighting potential therapeutic targets.
May implicate IL1R1 and select proteins as HFpEF mediators in cardiometabolic disease; leaves open causal pathways for targeted validation.
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is an increasingly prevalent clinical syndrome with high morbidity and mortality. Although HFpEF frequently coexists with cardiometabolic diseases, the causal mechanisms and potential mediators remain poorly understood. OBJECTIVES: This study aimed to identify cardiometabolic risk factors specifically driving HFpEF and to determine their underlying circulating mediators. METHODS: We used two-sample Mendelian Randomization (MR) to analyze the effects of obesity, Type 2 diabetes, hypertension, chronic kidney disease (CKD), and dyslipidemia on HFpEF and heart failure with reduced ejection fraction (HFrEF) in large European-ancestry GWAS datasets. We then performed mediation MR to identify plasma proteins and metabolites that mediate the transition from each cardiometabolic disease to HFpEF, respectively. We applied multivariable MR to assess the impact of risk confounding on the results. Bioinformatic analyses were conducted to delineate mechanisms. RESULTS: Cardiometabolic diseases had heterogeneous effects on HFpEF and HFrEF. Obesity and type 2 diabetes showed adjusted causal effects with HFpEF, hypertension showed potential relevance to HFpEF, whereas dyslipidemia and CKD did not. MR analysis identified 5 proteins that mediate obesity to HFpEF; 5 proteins that mediate type 2 diabetes to HFpEF. Further mediation MR analysis of obesity and T2D on HFrEF revealed heterogeneity in circulating mediators between metabolic HFpEF and HFrEF. Comprehensive bioinformatics analyses showed that IL1R1, together with other proteins such as TP53 and FGF19, orchestrates the inflammatory and fibrotic processes underlying HFpEF. CONCLUSIONS: These findings suggest that metabolic HFpEF has distinct etiological features compared with HFrEF and is driven by complex, condition-specific mediators. IL1R1 mediates HFpEF in multiple metabolic risk states, suggesting a potential therapeutic target. Further translational studies are warranted to evaluate anti-inflammatory strategies targeting IL1R1 in HFpEF.
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Lin et al. (2025) conducted an observational in Heart failure with preserved ejection fraction (HFpEF). Genetically predicted body mass index (BMI) vs. Lower genetically predicted BMI was evaluated on Causal effect of BMI on HFpEF (OR 2.10, 95% CI 1.78-2.47, p=<0.0001). Genetically predicted higher BMI significantly increased the risk of HFpEF (OR 2.10), with effects mediated by specific circulating proteins such as IL1R1.
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