ArticleNature communications2022
Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
- Enhancing reproducibility in neuroimaging with containerized archival.Brain imaging and behavior · 2026Article
- HFpEF and MASLD: converging mechanisms and clinical implications.Nature reviews. Cardiology · 2026Review
- Severity of MASH activity by iron-corrected MRI predicts insulin resistance and cardiometabolic risk in type 2 diabetes.The Journal of clinical endocrinology and metabolism · 2026Article
- Brain-heart-eye axis revealed by multi-organ imaging genetics and proteomics.Nature biomedical engineering · 2026Article
- Post-LVAD cognitive trajectories and determinants of non-improvement in end-stage heart failure.Journal of thoracic disease · 2026Article
- Brain Aging Mediating Heart Imaging-Derived Phenotypes and Mental and Nervous System Disorders.Aging cell · 2026Article
- Cross-organ MRI to assess the relationship between cardiac traits and cerebral white matter hyperintensity volumes.Communications medicine · 2026Article
- Large-scale identification of protein biomarkers and therapeutic targets in heart and brain disease.Nature cardiovascular research · 2026Article
- Automated volumetric MRI quantification of body fat and skeletal muscle in the UK Biobank: technical validation against expert manual segmentations and comparison with single-slice techniques.Abdominal radiology (New York) · 2026Article
- Brain-body interactions in systemic diseases: a survey from an imaging perspective.MedScience · 2026Review
- Bidirectional brain-heart interactions in health and disease.Nature reviews. Neurology · 2026Review
- Cross-organ analysis reveals associations between vascular properties of the retina, the carotid and aortic arteries, and the brain.Communications medicine · 2026Article
- Multi-organ AI endophenotypes chart the heterogeneity of brain, eye and heart pan-disease.Nature. Mental health · 2026Article
- Multi-organ network of cardiometabolic disease-depression multimorbidity revealed by phenotypic and genetic analyses of MR images.Nature communications · 2026Article
- Organ cross-talk: molecular mechanisms, biological functions, and therapeutic interventions for diseases.Signal transduction and targeted therapy · 2026Review
- FIB-4 Index, Systemic Inflammation, and Troponin Trajectory After Endovascular Thrombectomy in Older Patients with Large-Vessel Occlusion Stroke.Clinical interventions in aging · 2026Article
- The role of healthy lifestyle in the association between hepatic fibro-inflammation and steatosis and brain aging-a cross-sectional study.Frontiers in aging neuroscience · 2026Article
- Sex-specific body fat distribution predicts cardiovascular ageing.European heart journal · 2025Article
- Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders.Nature biomedical engineering · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.