Characterisation of liver fat in the UK Biobank cohort
| Autor: | Paul M. Matthews, Michael L. Gyngell, Henry R. Wilman, E L Thomas, Steve Garratt, Jimmy D. Bell, Rajarshi Banerjee, Matteo Milanesi, Stefan Neubauer, Amy H. Herlihy, Matt Kelly |
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| Přispěvatelé: | Commission of the European Communities |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Male Steatosis Cirrhosis Cross-sectional study Blood Pressure Type 2 diabetes Pathology and Laboratory Medicine PROTON Biochemistry Vascular Medicine Gastroenterology DISEASE Diagnostic Radiology Body Mass Index Fats Cytopathology Endocrinology 0302 clinical medicine Non-alcoholic Fatty Liver Disease Risk Factors Medicine and Health Sciences Image Processing Computer-Assisted HISTOLOGY Prospective Studies POPULATION Biological Specimen Banks education.field_of_study Multidisciplinary NONALCOHOLIC STEATOHEPATITIS Radiology and Imaging Liver Diseases Fatty liver Age Factors Middle Aged Lipids Magnetic Resonance Imaging Type 2 Diabetes PREVALENCE Multidisciplinary Sciences Phenotype Treatment Outcome Adipose Tissue Liver Hypertension Medicine Science & Technology - Other Topics ADIPOSITY 030211 gastroenterology & hepatology Female medicine.symptom Research Article medicine.medical_specialty Endocrine Disorders Imaging Techniques General Science & Technology Science Population Gastroenterology and Hepatology Research and Analysis Methods DIAGNOSIS 03 medical and health sciences Diagnostic Medicine Internal medicine MD Multidisciplinary Diabetes Mellitus MAGNETIC-RESONANCE SPECTROSCOPY medicine Humans HEPATIC STEATOSIS education Aged Science & Technology business.industry Biology and Life Sciences Correction medicine.disease United Kingdom Fatty Liver 030104 developmental biology Cross-Sectional Studies Anatomical Pathology Metabolic Disorders Gastrointestinal Imaging Steatohepatitis business Body mass index Weight gain Liver and Spleen Scan |
| Zdroj: | PLoS ONE PLoS ONE, Vol 12, Iss 2, p e0172921 (2017) |
| ISSN: | 1932-6203 |
| Popis: | Non-alcoholic fatty liver disease and the risk of progression to steatohepati tis, 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 measuremen t within UK Biobank, particularly for applications to elucidating risk factors through associations with prospec- tively acquired data on clinical outcomes of liver diseases, including non-alcoholic fatty liver disease. |
| Databáze: | OpenAIRE |
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