Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK.
William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Nat Commun. 2022 Dec 21;13(1):7839. doi: 10.1038/s41467-022-35321-2.
Medical imaging provides numerous insights into the subclinical changes that precede serious diseases such as heart disease and dementia. However, most imaging research either describes a single organ system or draws on clinical cohorts with small sample sizes. In this study, we use state-of-the-art multi-organ magnetic resonance imaging phenotypes to investigate cross-sectional relationships across the heart-brain-liver axis in 30,444 UK Biobank participants. Despite controlling for an extensive range of demographic and clinical covariates, we find significant associations between imaging-derived phenotypes of the heart (left ventricular structure, function and aortic distensibility), brain (brain volumes, white matter hyperintensities and white matter microstructure), and liver (liver fat, liver iron and fibroinflammation). Simultaneous three-organ modelling identifies differentially important pathways across the heart-brain-liver axis with evidence of both direct and indirect associations. This study describes a potentially cumulative burden of multiple-organ dysfunction and provides essential insight into multi-organ disease prevention.
医学影像学为心脏病和痴呆等严重疾病之前的亚临床变化提供了许多深入了解。然而,大多数影像学研究要么描述单个器官系统,要么利用样本量较小的临床队列。在这项研究中,我们使用最先进的多器官磁共振成像表型,在 30444 名英国生物库参与者中研究心脏-大脑-肝脏轴的横断面关系。尽管控制了广泛的人口统计学和临床协变量,但我们发现心脏(左心室结构、功能和主动脉顺应性)、大脑(脑容量、白质高信号和白质微观结构)和肝脏(肝脂肪、肝铁和纤维化炎症)的影像学衍生表型之间存在显著关联。同时对三个器官的建模确定了心脏-大脑-肝脏轴上具有不同重要性的途径,有直接和间接关联的证据。这项研究描述了多器官功能障碍的潜在累积负担,并为多器官疾病的预防提供了重要的见解。