Abstract #2398
Quantitative Dixon imaging to characterise early alterations in liver fat in a novel model of diet-induced MAFLD
Christopher Ball1,2, Zun Siong Low3, Jadegoud Yaligar1, Sanjay Kumar Verma1, Norliza Binte Esmail Sahib3, Hong Sheng Cheng3, Yun Sheng Yip3, Justin Yin Hao Lee3, Debbie Lim3, Walter Wahli3, Harish Poptani2, Nguan Soon Tan3,4, and S. Sendhil Velan1
1Laboratory of Molecular Imaging, Agency for Science Technology and Research (A*STAR), Singapore, Singapore, 2University of Liverpool, Liverpool, United Kingdom, 3Lee Kong Chian School of Medicine, Singapore, Singapore, 4Nanyang Technological University, Singapore, Singapore
Synopsis
A novel diet – LIDPAD – was developed to fulfil the need for a wild-type, diet-induced preclinical model of metabolic associated fatty liver disease that matches all physiologically relevant changes observed during human MAFLD progression.
Stages of MAFLD may be distinguished through MRI and the generation of proton density fat fraction maps. C57BL/6 mice fed on the LIDPAD diet for 4-16 weeks underwent hepatic fat quantification using multi-gradient eight-point Dixon MRI. Physiological changes were assessed through transcriptomic and insulin measurements.
Liver fat increased rapidly, alongside body weight, while transcriptional, metabolic and histological changes mirrored human MAFLD progression.
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