Ultrasound/Elastography techniques, lipidomic and blood markers compared to Magnetic Resonance Imaging in non-alcoholic fatty liver disease adults.
Autor: | Cantero I; Department of Nutrition, Food Science and Physiology. Centre for Nutrition Research. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain., Elorz M; Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain., Abete I; Department of Nutrition, Food Science and Physiology. Centre for Nutrition Research. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.; CIBERobn, Physiopathology of Obesity and Nutrition. Instituto de Salud Carlos III. Madrid, Spain., Marin BA; Department of Nutrition, Food Science and Physiology. Centre for Nutrition Research. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain., Herrero JI; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Liver Unit, Clinica Universidad de Navarra, Pamplona, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain., Monreal JI; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Clinical Chemistry Department, Clínica Universidad de Navarra, Pamplona, Spain., Benito A; Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain., Quiroga J; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Department of Internal Medicine, Clínica Universidad de Navarra, Pamplona, Navarra, Spain.; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain., Martínez A; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Department of Gastroenterology, Complejo Hospitalario de Navarra, Pamplona, Spain., Huarte MP; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Department of Gastroenterology, Complejo Hospitalario de Navarra, Pamplona, Spain., Uriz-Otano JI; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; Department of Gastroenterology, Complejo Hospitalario de Navarra, Pamplona, Spain., Tur JA; CIBERobn, Physiopathology of Obesity and Nutrition. Instituto de Salud Carlos III. Madrid, Spain.; Research Group on Community Nutrition and Oxidative Stress. University of Balearic Islands. Palma de Mallorca. Spain., Kearney J; School of Biological Sciences, Dublin Institute of Technology, Dublin, Republic of Ireland., Martinez JA; Department of Nutrition, Food Science and Physiology. Centre for Nutrition Research. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.; CIBERobn, Physiopathology of Obesity and Nutrition. Instituto de Salud Carlos III. Madrid, Spain.; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.; IMDEA FOOD. Madrid., Zulet MA; Department of Nutrition, Food Science and Physiology. Centre for Nutrition Research. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.; CIBERobn, Physiopathology of Obesity and Nutrition. Instituto de Salud Carlos III. Madrid, Spain.; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. |
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Jazyk: | angličtina |
Zdroj: | International journal of medical sciences [Int J Med Sci] 2019 Jan 01; Vol. 16 (1), pp. 75-83. Date of Electronic Publication: 2019 Jan 01 (Print Publication: 2019). |
DOI: | 10.7150/ijms.28044 |
Abstrakt: | Introduction: Non-alcoholic fatty liver disease (NAFLD) may progress to steatohepatitis, cirrhosis and complicated hepatocellular carcinoma with defined differential symptoms and manifestations. Objective: To evaluate the fatty liver status by several validated approaches and to compare imaging techniques, lipidomic and routine blood markers with magnetic resonance imaging in adults subjects with non-alcoholic fatty liver disease. Materials and Methods: A total of 127 overweight/obese with NAFLD, were parallelly assessed by Magnetic Resonance Imaging (MRI), ultrasonography, transient elastography and a validated metabolomic designed test to diagnose NAFLD in this cross-sectional study. Body composition (DXA), hepatic related biochemical measurements as well as the Fatty Liver Index (FLI) were evaluated. This study was registered as FLiO: Fatty Liver in Obesity study; NCT03183193. Results: The subjects with more severe liver disease were found to have worse metabolic parameters. Positive associations between MRI with inflammatory and insulin biomarkers were found. A linear regression model including ALT, RBP4 and HOMA-IR was able to explain 40.9% of the variability in fat content by MRI. In ROC analyses a combination panel formed of ALT, HOMA-IR and RBP4 followed by ultrasonography, ALT and metabolomic test showed the major predictive ability (77.3%, 74.6%, 74.3% and 71.1%, respectively) for liver fat content. Conclusions: A panel combination including routine blood markers linked to insulin resistance showed highest associations with MRI considered as a gold standard for determining liver fat content. This combination of tests can facilitate the diagnosis of early stages of non-alcoholic liver disease thereby avoiding other invasive and expensive methods. Competing Interests: Competing Interests: The authors have declared that no competing interest exists. |
Databáze: | MEDLINE |
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