Fanconi-Bickel Syndrome: A Review of the Mechanisms That Lead to Dysglycaemia.
Sanaa SharariMohamad Abou-AlloulKhalid HussainFaiyaz AhmadPublished in: International journal of molecular sciences (2020)
Accumulation of glycogen in the kidney and liver is the main feature of Fanconi-Bickel Syndrome (FBS), a rare disorder of carbohydrate metabolism inherited in an autosomal recessive manner due to SLC2A2 gene mutations. Missense, nonsense, frame-shift (fs), in-frame indels, splice site, and compound heterozygous variants have all been identified in SLC2A2 gene of FBS cases. Approximately 144 FBS cases with 70 different SLC2A2 gene variants have been reported so far. SLC2A2 encodes for glucose transporter 2 (GLUT2) a low affinity facilitative transporter of glucose mainly expressed in tissues playing important roles in glucose homeostasis, such as renal tubular cells, enterocytes, pancreatic β-cells, hepatocytes and discrete regions of the brain. Dysfunctional mutations and decreased GLUT2 expression leads to dysglycaemia (fasting hypoglycemia, postprandial hyperglycemia, glucose intolerance, and rarely diabetes mellitus), hepatomegaly, galactose intolerance, rickets, and poor growth. The molecular mechanisms of dysglycaemia in FBS are still not clearly understood. In this review, we discuss the physiological roles of GLUT2 and the pathophysiology of mutants, highlight all of the previously reported SLC2A2 mutations associated with dysglycaemia, and review the potential molecular mechanisms leading to dysglycaemia and diabetes mellitus in FBS patients.
Keyphrases
- blood glucose
- copy number
- glycemic control
- induced apoptosis
- cell cycle arrest
- end stage renal disease
- type diabetes
- genome wide
- intellectual disability
- ejection fraction
- newly diagnosed
- machine learning
- signaling pathway
- poor prognosis
- prognostic factors
- case report
- gene expression
- peritoneal dialysis
- chronic kidney disease
- blood pressure
- cell death
- insulin resistance
- metabolic syndrome
- multiple sclerosis
- white matter
- pi k akt
- deep learning
- mass spectrometry
- genome wide identification
- human health
- endothelial cells
- long non coding rna
- patient reported outcomes
- subarachnoid hemorrhage
- high glucose