Hyperinsulinism-Causing Mutations Cause Multiple Molecular Defects in SUR1 NBD1.
Claudia P AlvarezMarijana StagljarD Ranjith MuhandiramVoula KanelisPublished in: Biochemistry (2017)
The sulfonylurea receptor 1 (SUR1) protein forms the regulatory subunit in ATP sensitive K+ (KATP) channels in the pancreas. SUR proteins are members of the ATP binding cassette (ABC) superfamily of proteins. Binding and hydrolysis of MgATP at the SUR nucleotide binding domains (NBDs) lead to channel opening. Pancreatic KATP channels play an important role in insulin secretion. SUR1 mutations that result in increased levels of channel opening ultimately inhibit insulin secretion and lead to neonatal diabetes. In contrast, SUR1 mutations that disrupt trafficking and/or decrease gating of KATP channels cause congenital hyperinsulinism, where oversecretion of insulin occurs even in the presence of low glucose levels. Here, we present data on the effects of specific congenital hyperinsulinism-causing mutations (G716V, R842G, and K890T) located in different regions of the first nucleotide binding domain (NBD1). Nuclear magnetic resonance (NMR) and fluorescence data indicate that the K890T mutation affects residues throughout NBD1, including residues that bind MgATP, NBD2, and coupling helices. The mutations also decrease the MgATP binding affinity of NBD1. Size exclusion and NMR data indicate that the G716V and R842G mutations cause aggregation of NBD1 in vitro, possibly because of destabilization of the domain. These data describe structural characterization of SUR1 NBD1 and shed light on the underlying molecular basis of mutations that cause congenital hyperinsulinism.
Keyphrases
- magnetic resonance
- electronic health record
- type diabetes
- binding protein
- big data
- dna binding
- high resolution
- cardiovascular disease
- magnetic resonance imaging
- computed tomography
- metabolic syndrome
- mass spectrometry
- room temperature
- blood pressure
- insulin resistance
- single molecule
- skeletal muscle
- deep learning
- artificial intelligence
- data analysis
- ionic liquid
- capillary electrophoresis