Lee Chang Jie Mick, Kosyakovsky Leah B, Khan Muhammad Shahzeb, Wu Feng, Chen Guo, Hill Joseph A, Ho Jennifer E, Foo Roger S-Y, Zannad Faiez
Cardiovascular Metabolic Disease Translational Research Programme, National University of Singapore, Yong Loo Lin School of Medicine, Centre for Translational Medicine, Singapore (C.J.M.L., R.S.-Y.F.).
Institute of Molecular and Cell Biology, Agency for Science Technology and Research (A*STaR), Singapore (C.J.M.L., R.S.-Y.F.).
Circ Res. 2025 May 23;136(11):1170-1207. doi: 10.1161/CIRCRESAHA.125.325602. Epub 2025 May 22.
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.
在过去几十年中,包括2型糖尿病、糖尿病前期、肥胖症以及代谢功能障碍相关脂肪性肝病在内的代谢性疾病负担不断加重,这与心力衰竭(HF)流行病学格局的根本转变相对应,包括射血分数保留的HF患病率不断上升。了解心外因素和器官间通讯在HF病理生理学和表型异质性中的作用变得越来越重要。传统的流行病学策略分别研究了特定合并症对HF风险的个体影响,然而这些方法可能无法捕捉心脏和非心脏合并症之间的共同机制以及更复杂的双向关系。在本综述中,我们强调了心脏、肾脏、肝脏和代谢多器官相互作用及途径,这些因素使HF的发生和发展变得复杂,并提出了研究策略,以便在多器官疾病背景下进一步了解HF。这包括不断发展的流行病学方法,如多组学和机器学习,它们可能能更好地捕捉共同的潜在机制和器官间的相互作用。我们回顾了现有的HF临床前模型,以及它们如何增强了我们对多器官疾病在HF亚型发展中作用的理解。我们就多个专科的临床实践应如何筛查和管理HF中的多器官受累提出了建议。最后,认识到新型联合治疗药物的出现,这些药物可能在心脏-肾脏-肝脏代谢连续体中有多种适应症,我们回顾了当前的临床试验情况。我们特别强调迫切需要设计更具包容性的试验,以研究合并症的影响并纳入多器官终点,我们认为这可能会带来在当今临床上更具相关性的结果。