Relief of CoA sequestration and restoration of mitochondrial function in a mouse model of propionic acidemia.
Chitra SubramanianMatthew W FrankRajendra TangallapallyMi-Kyung YunStephen W WhiteRichard E LeeCharles O RockSuzanne JackowskiPublished in: Journal of inherited metabolic disease (2022)
Propionic acidemia (PA, OMIM 606054) is a devastating inborn error of metabolism arising from mutations that reduce the activity of the mitochondrial enzyme propionyl-CoA carboxylase (PCC). The defects in PCC reduce the concentrations of nonesterified coenzyme A (CoASH), thus compromising mitochondrial function and disrupting intermediary metabolism. Here, we use a hypomorphic PA mouse model to test the effectiveness of BBP-671 in correcting the metabolic imbalances in PA. BBP-671 is a high-affinity allosteric pantothenate kinase activator that counteracts feedback inhibition of the enzyme to increase the intracellular concentration of CoA. Liver CoASH and acetyl-CoA are depressed in PA mice and BBP-671 treatment normalizes the cellular concentrations of these two key cofactors. Hepatic propionyl-CoA is also reduced by BBP-671 leading to an improved intracellular C3:C2-CoA ratio. Elevated plasma C3:C2-carnitine ratio and methylcitrate, hallmark biomarkers of PA, are significantly reduced by BBP-671. The large elevations of malate and α-ketoglutarate in the urine of PA mice are biomarkers for compromised tricarboxylic acid cycle activity and BBP-671 therapy reduces the amounts of both metabolites. Furthermore, the low survival of PA mice is restored to normal by BBP-671. These data show that BBP-671 relieves CoA sequestration, improves mitochondrial function, reduces plasma PA biomarkers, and extends the lifespan of PA mice, providing the preclinical foundation for the therapeutic potential of BBP-671.
Keyphrases
- mouse model
- fatty acid
- high fat diet induced
- systematic review
- type diabetes
- small molecule
- immune response
- ms ms
- metabolic syndrome
- inflammatory response
- adipose tissue
- wild type
- mesenchymal stem cells
- electronic health record
- deep learning
- reactive oxygen species
- combination therapy
- replacement therapy
- smoking cessation
- data analysis