Art
J-GLOBAL ID:202402219276230975   Reference number:24A0290666

Machine learning identifies ferroptosis-related gene ANXA2 as potential diagnostic biomarkers for NAFLD

機械学習はNAFLDの潜在的診断バイオマーカーとしてのフェロトーシス関連遺伝子ANXA2を同定する【JST・京大機械翻訳】
Author (7):
Material:
Volume: 14  Page: 1303426  Publication year: 2023 
JST Material Number: U7068A  ISSN: 1664-2392  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
Abstract/Point
Japanese summary of the article(about several hundred characters).
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Introduction: Non-alcoholic fa...
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Thesaurus term/Semi thesaurus term
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JST classification (3):
JST classification
Category name(code) classified by JST.
Metabolic diseases,nutritional diseases in general.  ,  Cell physiology in general  ,  Basic medicine on digestive system 
Reference (50):
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  • Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology (2016) 64(1):73-84. doi: doi: 10.1002/hep.28431
  • Wong VW, Adams LA, de Lédinghen V, Wong GL, Sookoian S. Noninvasive biomarkers in nafld and nash - current progress and future promise. Nat Rev Gastroenterol Hepatol (2018) 15(8):461-78. doi: doi: 10.1038/s41575-018-0014-9
  • Wang FS, Fan JG, Zhang Z, Gao B, Wang HY. The global burden of liver disease: the major impact of China. Hepatology (2014) 60(6):2099-108. doi: doi: 10.1002/hep.27406
  • Koperska A, Wesołek A, Moszak M, Szulińska M. Berberine in non-alcoholic fatty liver disease-a review. Nutrients (2022) 14(17):3459. doi: doi: 10.3390/nu14173459
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