Correcting glucose-6-phosphate dehydrogenase deficiency with a small-molecule activator.
Sunhee HwangKaren MrukSimin RahighiAndrew G RaubChe-Hong ChenLisa E DornNaoki HorikoshiSoichi WakatsukiJames K ChenDaria-Mochly RosenPublished in: Nature communications (2018)
Glucose-6-phosphate dehydrogenase (G6PD) deficiency, one of the most common human genetic enzymopathies, is caused by over 160 different point mutations and contributes to the severity of many acute and chronic diseases associated with oxidative stress, including hemolytic anemia and bilirubin-induced neurological damage particularly in newborns. As no medications are available to treat G6PD deficiency, here we seek to identify a small molecule that corrects it. Crystallographic study and mutagenesis analysis identify the structural and functional defect of one common mutant (Canton, R459L). Using high-throughput screening, we subsequently identify AG1, a small molecule that increases the activity of the wild-type, the Canton mutant and several other common G6PD mutants. AG1 reduces oxidative stress in cells and zebrafish. Furthermore, AG1 decreases chloroquine- or diamide-induced oxidative stress in human erythrocytes. Our study suggests that a pharmacological agent, of which AG1 may be a lead, will likely alleviate the challenges associated with G6PD deficiency.
Keyphrases
- small molecule
- wild type
- oxidative stress
- induced apoptosis
- endothelial cells
- quantum dots
- diabetic rats
- protein protein
- replacement therapy
- dna damage
- pregnant women
- induced pluripotent stem cells
- high glucose
- gene expression
- chronic kidney disease
- blood glucose
- ischemia reperfusion injury
- crispr cas
- metabolic syndrome
- adipose tissue
- dna methylation
- blood pressure
- intensive care unit
- signaling pathway
- cell cycle arrest
- nuclear factor
- brain injury
- hydrogen peroxide
- extracorporeal membrane oxygenation
- inflammatory response
- acute respiratory distress syndrome
- low birth weight
- smoking cessation
- cerebral ischemia
- soft tissue
- data analysis
- gestational age