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Dissecting the effect of mitochondrial BCAT inhibition in methylmalonic acidemia
Madeline G. Hemmingsen, Guo-Fang Zhang, Yunhan Ma, Hannah Marchuk, Kalyani R. Patel, Tong Chen, Xinning Li, Mark Chapman, Sabrina Collias, Dolores H. Lopez-Terrada, James Beasley, Ashlee R. Stiles, Randy J. Chandler, Charles P. Venditti, Sarah P. Young, Mercedes Barzi, Beatrice Bissig-Choisat, Doug Krafte, Christopher B. Newgard, Karl-Dimiter Bissig
Madeline G. Hemmingsen, Guo-Fang Zhang, Yunhan Ma, Hannah Marchuk, Kalyani R. Patel, Tong Chen, Xinning Li, Mark Chapman, Sabrina Collias, Dolores H. Lopez-Terrada, James Beasley, Ashlee R. Stiles, Randy J. Chandler, Charles P. Venditti, Sarah P. Young, Mercedes Barzi, Beatrice Bissig-Choisat, Doug Krafte, Christopher B. Newgard, Karl-Dimiter Bissig
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Research Article Genetics Metabolism

Dissecting the effect of mitochondrial BCAT inhibition in methylmalonic acidemia

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Abstract

Methylmalonic acidemia (MMA) is a severe metabolic disorder affecting multiple organs because of a distal block in branched-chain amino acid (BCAA) catabolism. Standard of care is limited to protein restriction and supportive care during metabolic decompensation. Severe cases require liver/kidney transplantation, and there is a clear need for better therapy. Here, we investigated the effects of a small molecule branched-chain amino acid transaminase (BCAT) inhibitor in human MMA hepatocytes and an MMA mouse model. Mitochondrial BCAT is the first step in BCAA catabolism, and reduction of flux through an early enzymatic step is successfully used in other amino acid metabolic disorders. Metabolic flux analyses confirmed robust BCAT inhibition, with reduction of labeling of proximal and distal BCAA-derived metabolites in MMA hepatocytes. In vivo experiments verified the BCAT inhibition, but total levels of distal BCAA catabolite disease markers and clinical symptoms were not normalized, indicating contributions of substrates other than BCAA to these distal metabolite pools. Our study demonstrates the importance of understanding the underlying pathology of metabolic disorders for identification of therapeutic targets and the use of multiple, complementary models to evaluate them.

Authors

Madeline G. Hemmingsen, Guo-Fang Zhang, Yunhan Ma, Hannah Marchuk, Kalyani R. Patel, Tong Chen, Xinning Li, Mark Chapman, Sabrina Collias, Dolores H. Lopez-Terrada, James Beasley, Ashlee R. Stiles, Randy J. Chandler, Charles P. Venditti, Sarah P. Young, Mercedes Barzi, Beatrice Bissig-Choisat, Doug Krafte, Christopher B. Newgard, Karl-Dimiter Bissig

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Figure 8

Disease markers in MMA mice following BCATi treatment.

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Disease markers in MMA mice following BCATi treatment.
Quantification of...
Quantification of (A) methylmalonic acid and (B) MCA at 4 weeks of age. (C) Plasma FGF-21 levels. (D) Body weights over course of 10-dose study. All results are mean ± SEM and analyzed by 1- or 2-way ANOVA. “*” P ≤ 0.05, “**” P ≤ 0.01, “***” P ≤ 0.001, “****” P ≤ 0.0001. (E) Graphical depiction of metabolic scheme in Mmutp.L690Ins/p.L690Ins mice under the BCATi. The effects of the BCATi on measured metabolites in each compartment, compared with untreated Mmutp.L690Ins/p.L690Ins mice, are indicated in blue (normal), green (increased), or red (decreased). Potentially increased contribution of propionyl-CoA from secondary sources as a result of BCATi is indicated by enlarged arrow and orange question mark.

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