Flux balance analysis predicts Warburg-like effects of mouse hepatocyte deficient in miR-122a

Hua Qing Wu, Mei Ling Cheng, Jin Mei Lai, Hsuan Hui Wu, Meng Chun Chen, Wen Huan Liu, Wu Hsiung Wu, Peter Mu Hsin Chang, Chi Ying F. Huang, Ann Ping Tsou, Ming Shi Shiao, Feng Sheng Wang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

22 Scopus citations

Abstract

The liver is a vital organ involving in various major metabolic functions in human body. MicroRNA-122 (miR-122) plays an important role in the regulation of liver metabolism, but its intrinsic physiological functions require further clarification. This study integrated the genome-scale metabolic model of hepatocytes and mouse experimental data with germline deletion of Mir122a (Mir122a–/–) to infer Warburg-like effects. Elevated expression of MiR-122a target genes in Mir122a–/–mice, especially those encoding for metabolic enzymes, was applied to analyze the flux distributions of the genome-scale metabolic model in normal and deficient states. By definition of the similarity ratio, we compared the flux fold change of the genome-scale metabolic model computational results and metabolomic profiling data measured through a liquid-chromatography with mass spectrometer, respectively, for hepatocytes of 2-month-old mice in normal and deficient states. The Ddc gene demonstrated the highest similarity ratio of 95% to the biological hypothesis of the Warburg effect, and similarity of 75% to the experimental observation. We also used 2, 6, and 11 months of mir-122 knockout mice liver cell to examined the expression pattern of DDC in the knockout mice livers to show upregulated profiles of DDC from the data. Furthermore, through a bioinformatics (LINCS program) prediction, BTK inhibitors and withaferin A could downregulate DDC expression, suggesting that such drugs could potentially alter the early events of metabolomics of liver cancer cells.

Original languageEnglish
Article numbere1005618
JournalPLoS Computational Biology
Volume13
Issue number7
DOIs
StatePublished - 07 2017

Bibliographical note

Publisher Copyright:
© 2017 Wu et al.

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