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Characterisation of liver fat in the UK Biobank cohort
Non-alcoholic fatty liver disease and the risk of progression to steatohepatitis, cirrhosis and hepatocellular carcinoma have been identified as major public health concerns. We have demonstrated the feasibility and potential value of measuring liver fat content by magnetic resonance imaging (MRI) i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328634/ https://www.ncbi.nlm.nih.gov/pubmed/28241076 http://dx.doi.org/10.1371/journal.pone.0172921 |
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author | Wilman, Henry R. Kelly, Matt Garratt, Steve Matthews, Paul M. Milanesi, Matteo Herlihy, Amy Gyngell, Micheal Neubauer, Stefan Bell, Jimmy D. Banerjee, Rajarshi Thomas, E. Louise |
author_facet | Wilman, Henry R. Kelly, Matt Garratt, Steve Matthews, Paul M. Milanesi, Matteo Herlihy, Amy Gyngell, Micheal Neubauer, Stefan Bell, Jimmy D. Banerjee, Rajarshi Thomas, E. Louise |
author_sort | Wilman, Henry R. |
collection | PubMed |
description | Non-alcoholic fatty liver disease and the risk of progression to steatohepatitis, cirrhosis and hepatocellular carcinoma have been identified as major public health concerns. We have demonstrated the feasibility and potential value of measuring liver fat content by magnetic resonance imaging (MRI) in a large population in this study of 4,949 participants (aged 45–73 years) in the UK Biobank imaging enhancement. Despite requirements for only a single (≤3min) scan of each subject, liver fat was able to be measured as the MRI proton density fat fraction (PDFF) with an overall success rate of 96.4%. The overall hepatic fat distribution was centred between 1–2%, and was highly skewed towards higher fat content. The mean PDFF was 3.91%, and median 2.11%. Analysis of PDFF in conjunction with other data fields available from the UK Biobank Resource showed associations of increased liver fat with greater age, BMI, weight gain, high blood pressure and Type 2 diabetes. Subjects with BMI less than 25 kg/m(2) had a low risk (5%) of high liver fat (PDFF > 5.5%), whereas in the higher BMI population (>30 kg/m(2)) the prevalence of high liver fat was approximately 1 in 3. These data suggest that population screening to identify people with high PDFF is possible and could be cost effective. MRI based PDFF is an effective method for this. Finally, although cross sectional, this study suggests the utility of the PDFF measurement within UK Biobank, particularly for applications to elucidating risk factors through associations with prospectively acquired data on clinical outcomes of liver diseases, including non-alcoholic fatty liver disease. |
format | Online Article Text |
id | pubmed-5328634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53286342017-03-09 Characterisation of liver fat in the UK Biobank cohort Wilman, Henry R. Kelly, Matt Garratt, Steve Matthews, Paul M. Milanesi, Matteo Herlihy, Amy Gyngell, Micheal Neubauer, Stefan Bell, Jimmy D. Banerjee, Rajarshi Thomas, E. Louise PLoS One Research Article Non-alcoholic fatty liver disease and the risk of progression to steatohepatitis, cirrhosis and hepatocellular carcinoma have been identified as major public health concerns. We have demonstrated the feasibility and potential value of measuring liver fat content by magnetic resonance imaging (MRI) in a large population in this study of 4,949 participants (aged 45–73 years) in the UK Biobank imaging enhancement. Despite requirements for only a single (≤3min) scan of each subject, liver fat was able to be measured as the MRI proton density fat fraction (PDFF) with an overall success rate of 96.4%. The overall hepatic fat distribution was centred between 1–2%, and was highly skewed towards higher fat content. The mean PDFF was 3.91%, and median 2.11%. Analysis of PDFF in conjunction with other data fields available from the UK Biobank Resource showed associations of increased liver fat with greater age, BMI, weight gain, high blood pressure and Type 2 diabetes. Subjects with BMI less than 25 kg/m(2) had a low risk (5%) of high liver fat (PDFF > 5.5%), whereas in the higher BMI population (>30 kg/m(2)) the prevalence of high liver fat was approximately 1 in 3. These data suggest that population screening to identify people with high PDFF is possible and could be cost effective. MRI based PDFF is an effective method for this. Finally, although cross sectional, this study suggests the utility of the PDFF measurement within UK Biobank, particularly for applications to elucidating risk factors through associations with prospectively acquired data on clinical outcomes of liver diseases, including non-alcoholic fatty liver disease. Public Library of Science 2017-02-27 /pmc/articles/PMC5328634/ /pubmed/28241076 http://dx.doi.org/10.1371/journal.pone.0172921 Text en © 2017 Wilman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wilman, Henry R. Kelly, Matt Garratt, Steve Matthews, Paul M. Milanesi, Matteo Herlihy, Amy Gyngell, Micheal Neubauer, Stefan Bell, Jimmy D. Banerjee, Rajarshi Thomas, E. Louise Characterisation of liver fat in the UK Biobank cohort |
title | Characterisation of liver fat in the UK Biobank cohort |
title_full | Characterisation of liver fat in the UK Biobank cohort |
title_fullStr | Characterisation of liver fat in the UK Biobank cohort |
title_full_unstemmed | Characterisation of liver fat in the UK Biobank cohort |
title_short | Characterisation of liver fat in the UK Biobank cohort |
title_sort | characterisation of liver fat in the uk biobank cohort |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328634/ https://www.ncbi.nlm.nih.gov/pubmed/28241076 http://dx.doi.org/10.1371/journal.pone.0172921 |
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