Journal of Inherited Metabolic DiseaseMolecular BiologyPeer-reviewed journal article
AMPK Signaling Regulates Expression of Urea Cycle Enzymes in Response to Changes in Dietary Protein Intake
Sandra Kirsch Heibel, Peter J. McGuireiD, Nantaporn Haskins, Himani Datta Majumdar, Sree RayavarapuiD, Kanneboyina NagarajuiD, Yetrib HathoutiD, Kristy J. BrowniD, Mendel Tuchman, Ljubica CaldoviciD
Abstract
Abundance of urea cycle enzymes in the liver is regulated by the dietary protein intake. Although urea cycle enzyme levels rise in response to a high protein diet, signaling networks that sense dietary protein intake and trigger changes in expression of urea cycle genes have not been identified. The aim of this study was to identify signaling pathway(s) that respond to changes in protein intake and regulate expression of urea cycle genes in mice and human hepatocytes. Mice were adapted to either control or high (HP) protein diets followed by isolation of liver protein and mRNA and integrated analysis of the proteomic and transcriptome profiles. HP diet led to increased expression of mRNA and enzymes in amino acid degradation pathways, and decreased expression of mRNA and enzymes in carbohydrate and fat metabolism, which implicated AMPK as a possible regulator. Primary human hepatocytes, treated with AICAR an activator of AMPK, were used to test whether AMPK regulates expression of urea cycle genes. The abundance of CPS1 and OTC mRNA increased in hepatocytes treated with AICAR, which supports a role for AMPK signaling in regulation of the urea cycle. Because AMPK is either a target of drugs used to treat type-2 diabetes, these drugs might increase the expression of urea cycle enzymes in patients with urea cycle disorders, which could be the basis of a new therapeutic approach.\n\nAuthor summaryIntegrated analysis of transcriptional and proteomic profiles of the liver tissue from mice fed different protein content diets revealed that AMPK signaling pathway regulates expression of urea cycle enzymes.
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- research focus: differential expression
- approach: statistical model
- Citations
- 12
- FWCI
- 0.86
- Field percentile
- top 32%
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