Non-alcoholic fatty liver disease (NAFLD) is associated with dynamic changes in DNA hydroxymethylation.
Marcus J LyallJohn P ThomsonJessy CartierRaffaele OttavianoTimothy James KendallRichard R MeehanAmanda J DrakePublished in: Epigenetics (2019)
Non-alcoholic fatty liver disease (NAFLD) is now the commonest cause of liver disease in developed countries affecting 25-33% of the general population and up to 75% of those with obesity. Recent data suggest that alterations in DNA methylation may be related to NAFLD pathogenesis and progression and we have previously shown that dynamic changes in the cell lineage identifier 5-hydroxymethylcytosine (5hmC) may be important in the pathogenesis of liver disease. We used a model of diet-induced obesity, maintaining male mice on a high-fat diet (HFD) to generate hepatic steatosis. We profiled hepatic gene expression, global and locus-specific 5hmC and additionally investigated the effects of weight loss on the phenotype. HFD led to increased weight gain, fasting hyperglycaemia, glucose intolerance, insulin resistance and hepatic periportal macrovesicular steatosis. Diet-induced hepatic steatosis associated with reversible 5hmC changes at a discrete number of functionally important genes. We propose that 5hmC profiles are a useful signature of gene transcription and a marker of cell state in NAFLD and suggest that 5hmC profiles hold potential as a biomarker of abnormal liver physiology.
Keyphrases
- high fat diet
- insulin resistance
- weight gain
- weight loss
- dna methylation
- adipose tissue
- high fat diet induced
- gene expression
- metabolic syndrome
- genome wide
- skeletal muscle
- single cell
- polycystic ovary syndrome
- type diabetes
- body mass index
- birth weight
- cell therapy
- bariatric surgery
- glycemic control
- roux en y gastric bypass
- mesenchymal stem cells
- gastric bypass
- copy number
- electronic health record
- big data
- risk assessment
- mass spectrometry
- artificial intelligence
- genome wide analysis
- bone marrow
- blood glucose
- liver fibrosis
- single molecule
- machine learning
- genome wide association study
- climate change
- light emitting
- obese patients
- physical activity
- drug induced