The Role of the Nuclear Receptor FXR in Arsenic-Induced Glucose Intolerance in Mice.
Yifei YangYun-Chung HsiaoChih-Wei LiuKun LuPublished in: Toxics (2023)
Inorganic arsenic in drinking water is prioritized as a top environmental contaminant by the World Health Organization, with over 230 million people potentially being exposed. Arsenic toxicity has been well documented and is associated with a plethora of human diseases, including diabetes, as established in numerous animal and epidemiological studies. Our previous study revealed that arsenic exposure leads to the inhibition of nuclear receptors, including LXR/RXR. To this end, FXR is a nuclear receptor central to glucose and lipid metabolism. However, limited studies are available for understanding arsenic exposure-FXR interactions. Herein, we report that FXR knockout mice developed more profound glucose intolerance than wild-type mice upon arsenic exposure, supporting the regulatory role of FXR in arsenic-induced glucose intolerance. We further exposed mice to arsenic and tested if GW4064, a FXR agonist, could improve glucose intolerance and dysregulation of hepatic proteins and serum metabolites. Our data showed arsenic-induced glucose intolerance was remarkably diminished by GW4064, accompanied by a significant ratio of alleviation of dysregulation in hepatic proteins (83%) and annotated serum metabolites (58%). In particular, hepatic proteins "rescued" from arsenic toxicity by GW4064 featured members of glucose and lipid utilization. For instance, the expression of PCK1, a candidate gene for diabetes and obesity that facilitates gluconeogenesis, was repressed under arsenic exposure in the liver, but revived with the GW4064 supplement. Together, our comprehensive dataset indicates FXR plays a key role and may serve as a potential therapeutic for arsenic-induced metabolic disorders.
Keyphrases
- drinking water
- heavy metals
- health risk assessment
- health risk
- blood glucose
- type diabetes
- cardiovascular disease
- wild type
- diabetic rats
- metabolic syndrome
- high fat diet induced
- ms ms
- poor prognosis
- drug induced
- body mass index
- insulin resistance
- weight loss
- adipose tissue
- risk assessment
- single cell
- dna methylation
- physical activity
- autism spectrum disorder
- blood pressure
- electronic health record
- case control
- deep learning
- genome wide