Multiomics to Characterize the Molecular Events Underlying Impaired Glucose Tolerance in FXR-Knockout Mice.
Yun-Chung HsiaoYifei YangChih-Wei LiuJingya PengJiahao FengHaoduo ZhaoTaylor TeitelbaumKun LuPublished in: Journal of proteome research (2024)
The prevalence of different metabolic syndromes has grown globally, and the farnesoid X receptor (FXR), a metabolic homeostat for glucose, lipid, and bile acid metabolisms, may serve an important role in the progression of metabolic disorders. Glucose intolerance by FXR deficiency was previously reported and observed in our study, but the underlying biology remained unclear. To investigate the ambiguity, we collected the nontargeted profiles of the fecal metaproteome, serum metabolome, and liver proteome in Fxr -null ( Fxr -/- ) and wild-type (WT) mice with LC-HRMS. FXR deficiency showed a global impact on the different molecular levels we monitored, suggesting its serious disruption in the gut microbiota, hepatic metabolism, and circulating biomolecules. The network and enrichment analyses of the dysregulated metabolites and proteins suggested the perturbation of carbohydrate and lipid metabolism by FXR deficiency. Fxr -/- mice presented lower levels of hepatic proteins involved in glycogenesis. The impairment of glycogenesis by an FXR deficiency may leave glucose to accumulate in the circulation, which may deteriorate glucose tolerance. Lipid metabolism was dysregulated by FXR deficiency in a structural-dependent manner. Fatty acid β-oxidations were alleviated, but cholesterol metabolism was promoted by an FXR deficiency. Together, we explored the molecular events associated with glucose intolerance by impaired FXR with integrated novel multiomic data.
Keyphrases
- fatty acid
- wild type
- replacement therapy
- metabolic syndrome
- type diabetes
- blood glucose
- blood pressure
- machine learning
- single molecule
- adipose tissue
- skeletal muscle
- mass spectrometry
- deep learning
- insulin resistance
- data analysis
- smoking cessation
- electronic health record
- simultaneous determination
- network analysis
- liquid chromatography