Abstract #3384
A clustering method to classify stages of NAFLD based on the metabolites results obtained in two mouse models with MRS
Aline Xavier1,2,3, Constanza Gainza4,5, Flavia Zacconi6,7,8, Daniel Cabrera9,10, Marco Arese9,11, Carlos Sing-Long2,3,4,5,8, and Marcelo Andia2,3,12
1Instituto de Ciencias de la Ingeniería, Universidad de O’Higgins, Rancagua, Chile, 2Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 3Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Millennium Nucleus Center for the Discovery of Structures in Complex Data, Santiago, Chile, 5Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Chemistry and Pharmacy, Pontificia Universidad Católica de Chile, Santiago, Chile, 7Research Center for Nanotechnology and Advanced Materials CIEN-UC, Pontificia Universidad Católica de Chile, Santiago, Chile, 8Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Gastroenterology Department, Pontificia Universidad Católica de Chile, Santiago, Chile, 10Faculty of Medical Sciences, Universidad Bernardo O’Higgins, Santiago, Chile, 11Center of Aging and Regeneration (CARE), Pontificia Universidad Católica de Chile, Santiago, Chile, 12Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
Synopsis
In this study, we analyzed the liver fatty acids results obtained by magnetic resonance spectroscopy and gas chromatography in non-alcoholic fatty liver disease (NAFLD) mice with principal component analysis (PCA) and a clustering method. The study was made with two different mouse models (CDAA and Western diet), and a control group. Our results, as evidenced by PCA, showed that the liver fatty acid composition changed as NAFLD progressed and it was possible to identify the 3 most relevant NAFLD groups with MRS (healthy, steatosis, and steatohepatitis) with excellent agreement with the gold-standard histopathological scores.
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