Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos

Abstract

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, prediabetes, obesity, and metabolic dysfunction-associated steatotic liver disease, has corresponded with fundamental shifts in the landscape of heart failure (HF) epidemiology, including the rising prevalence of HF with preserved ejection fraction. It has become increasingly important to understand the role of extracardiac contributors and interorgan communication in the pathophysiology and phenotypic heterogeneity of HF. Whereas traditional epidemiological strategies have separately examined individual contributions of specific comorbidities to HF risk, these approaches may not capture the shared mechanisms and more complex, bidirectional relationships between cardiac and noncardiac comorbidities. In this review, we highlight the cardiac, kidney, liver, and metabolism multiorgan interactions and pathways that complicate HF development and progression and propose research strategies to further understand HF in the context of multiple organ disease. This includes evolving epidemiological approaches such as multiomics and machine learning which may better capture common underlying mechanisms and interorgan crosstalk. We review existing preclinical models of HF and how they have enhanced our understanding of the role of multiorgan disease in the development of HF subtypes. We suggest recommendations as to how clinical practice across multiple specialties should screen for and manage multiorgan involvement in HF. Finally, recognizing the advent of novel combinatorial therapeutic agents that may have multiple indications across the cardiac-kidney-liver metabolism continuum, we review the current clinical trials landscape. We specifically highlight a pressing need for the design of more inclusive trials that examine the contributions of multimorbidity and incorporate multiorgan end points, which we propose may lead to outcomes that are evermore clinically relevant today.

Keywords: biomarkers; cardiovascular diseases; clinical trial; disease models, animal; epidemiology; heart failure.