Mendeley | Further Information

{"title"=>"Characterisation of liver fat in the UK Biobank cohort", "type"=>"journal", "authors"=>[{"first_name"=>"Henry R.", "last_name"=>"Wilman", "scopus_author_id"=>"57193442193"}, {"first_name"=>"Matt", "last_name"=>"Kelly", "scopus_author_id"=>"57193444479"}, {"first_name"=>"Steve", "last_name"=>"Garratt", "scopus_author_id"=>"55749106100"}, {"first_name"=>"Paul M.", "last_name"=>"Matthews", "scopus_author_id"=>"7202324607"}, {"first_name"=>"Matteo", "last_name"=>"Milanesi", "scopus_author_id"=>"57193442258"}, {"first_name"=>"Amy", "last_name"=>"Herlihy", "scopus_author_id"=>"7004304259"}, {"first_name"=>"Micheal", "last_name"=>"Gyngell", "scopus_author_id"=>"6603951155"}, {"first_name"=>"Stefan", "last_name"=>"Neubauer", "scopus_author_id"=>"55794522200"}, {"first_name"=>"Jimmy D.", "last_name"=>"Bell", "scopus_author_id"=>"7404446013"}, {"first_name"=>"Rajarshi", "last_name"=>"Banerjee", "scopus_author_id"=>"54786180500"}, {"first_name"=>"E. Louise", "last_name"=>"Thomas", "scopus_author_id"=>"14120515900"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"85014010569", "doi"=>"10.1371/journal.pone.0172921", "isbn"=>"1111111111", "pmid"=>"28241076", "issn"=>"19326203", "scopus"=>"2-s2.0-85014010569", "pui"=>"614571040"}, "id"=>"23869381-73f7-334a-b6ab-e1b111852f75", "abstract"=>"Non-alcoholic fatty liver disease and the risk of progression to steatohepatitis, cirrhosis and hepatocellular carcinoma have been identified as major public health concerns.Wehave 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/m2 had a low risk (5%) of high liver fat (PDFF > 5.5%), whereas in the higher BMI population (>30 kg/m2) 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 prospec- tively acquired data on clinical outcomes of liver diseases, including non-alcoholic fatty liver disease.", "link"=>"http://www.mendeley.com/research/characterisation-liver-fat-uk-biobank-cohort", "reader_count"=>34, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>11, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>11, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>3, "Unspecified"=>5, "Biochemistry, Genetics and Molecular Biology"=>3, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>14, "Agricultural and Biological Sciences"=>5, "Chemistry"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Chemistry"=>{"Chemistry"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Unspecified"=>{"Unspecified"=>5}}, "reader_count_by_country"=>{"Spain"=>1}, "group_count"=>5}

CrossRef

• http://doi.org/10.1371/journal.pone.0176867
• http://doi.org/10.1038/s41598-018-27560-5
• http://doi.org/10.1371/journal.pone.0209340
• http://doi.org/10.2196/19189
• http://doi.org/10.1038/s41467-020-15948-9
• http://doi.org/10.1002/oby.22948
• http://doi.org/10.2337/db18-0708
• http://doi.org/10.4254/wjh.v12.i4.149
• http://doi.org/10.4254/wjh.v10.i2.231
• http://doi.org/10.1371/journal.pone.0204175
• http://doi.org/10.1242/bio.033910
• http://doi.org/10.1007/s00261-018-1701-2
• http://doi.org/10.1038/s41598-020-74633-5
• http://doi.org/10.1007/s11901-018-0421-y
• http://doi.org/10.1002/jmri.27292
• http://doi.org/10.1002/mrm.28311
• http://doi.org/10.1007/s00261-020-02684-3
• http://doi.org/10.1111/liv.13993
• http://doi.org/10.1177/2047487317732273
• http://doi.org/10.1371/journal.pmed.1003149
• http://doi.org/10.1016/j.jhep.2020.03.032

Scopus | Further Information

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Twitter

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• {"id"=>"836341602037739520", "text"=>"Congrats on your paper on diagnosis of fatty liver disease using @UKBIOBANK by @uw_fst Louise Thomas @innovateuk https://t.co/Yfn6fxNVct", "created_at"=>"2017-02-27T22:25:51Z", "user"=>"UW_BMS", "user_name"=>"UW_BMS", "user_profile_image"=>"http://pbs.twimg.com/profile_images/793872363788140545/W9aUZXb3_normal.jpg"}
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F1000Prime