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Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772225/ https://www.ncbi.nlm.nih.gov/pubmed/36543768 http://dx.doi.org/10.1038/s41467-022-35321-2 |
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author | McCracken, Celeste Raisi-Estabragh, Zahra Veldsman, Michele Raman, Betty Dennis, Andrea Husain, Masud Nichols, Thomas E. Petersen, Steffen E. Neubauer, Stefan |
author_facet | McCracken, Celeste Raisi-Estabragh, Zahra Veldsman, Michele Raman, Betty Dennis, Andrea Husain, Masud Nichols, Thomas E. Petersen, Steffen E. Neubauer, Stefan |
author_sort | McCracken, Celeste |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9772225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97722252022-12-23 Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants McCracken, Celeste Raisi-Estabragh, Zahra Veldsman, Michele Raman, Betty Dennis, Andrea Husain, Masud Nichols, Thomas E. Petersen, Steffen E. Neubauer, Stefan Nat Commun Article 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. Nature Publishing Group UK 2022-12-21 /pmc/articles/PMC9772225/ /pubmed/36543768 http://dx.doi.org/10.1038/s41467-022-35321-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article McCracken, Celeste Raisi-Estabragh, Zahra Veldsman, Michele Raman, Betty Dennis, Andrea Husain, Masud Nichols, Thomas E. Petersen, Steffen E. Neubauer, Stefan Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title | Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title_full | Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title_fullStr | Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title_full_unstemmed | Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title_short | Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants |
title_sort | multi-organ imaging demonstrates the heart-brain-liver axis in uk biobank participants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772225/ https://www.ncbi.nlm.nih.gov/pubmed/36543768 http://dx.doi.org/10.1038/s41467-022-35321-2 |
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