» Articles » PMID: 24497316

The Aspartate Metabolism Pathway is Differentiable in Human Hepatocellular Carcinoma: Transcriptomics and (13) C-isotope Based Metabolomics

Overview
Journal NMR Biomed
Publisher Wiley
Date 2014 Feb 6
PMID 24497316
Citations 17
Authors
Affiliations
Soon will be listed here.
Abstract

Hepatocellular carcinoma (HCC), the primary form of human adult liver malignancy, is a highly aggressive tumor with average survival rates that are currently less than a year following diagnosis. Although bioinformatic analyses have indicated differentially expressed genes and cancer related mutations in HCC, integrated genetic and metabolic pathway analyses remain to be investigated. Herein, gene (i.e. messenger RNA, mRNA) enrichment analysis was performed to delineate significant alterations of metabolic pathways in HCC. The objective of this study was to investigate the pathway of aspartate metabolism in HCC of humans. Coupled with transcriptomic (i.e. mRNA) and NMR based metabolomics of human tissue extracts, we utilized liquid chromatography mass spectrometry based metabolomics analysis of stable [U-(13) C6 ]glucose metabolism or [U-(13) C5 ,(15) N2 ]glutamine metabolism of HCC cell culture. Our results indicated that aspartate metabolism is a significant and differentiable metabolic pathway of HCC compared with non-tumor liver (p value < 0.0001). In addition, branched-chain amino acid metabolism (p value < 0.0001) and tricarboxylic acid metabolism (p value < 0.0001) are significant and differentiable. Statistical analysis of measurable NMR metabolites indicated that at least two of the group means were significantly different for the metabolites alanine (p value = 0.0013), succinate (p value = 0.0001), lactate (p value = 0.0114), glycerophosphoethanolamine (p value = 0.015), and inorganic phosphate (p value = 0.0001). However, (13) C isotopic enrichment analysis of these metabolites revealed less than 50% isotopic enrichment with either stable [U-(13) C6 ]glucose metabolism or [U-(13) C5 ,(15) N2 ]glutamine. This may indicate the differential account of total metabolite pool versus de novo metabolites from a (13) C labeled substrate. The ultimate translation of these findings will be to determine putative enzyme activity via (13) C labeling, to investigate targeted therapeutics against these enzymes, and to optimize the in vivo performance of (13) C MRI techniques.

Citing Articles

Uncovering Novel Roles of miR-122 in the Pathophysiology of the Liver: Potential Interaction with NRF1 and E2F4 Signaling.

Paluschinski M, Schira-Heinen J, Pellegrino R, Heij L, Bednarsch J, Neumann U Cancers (Basel). 2023; 15(16).

PMID: 37627157 PMC: 10453129. DOI: 10.3390/cancers15164129.


Overexpression of SMS in the tumor microenvironment is associated with immunosuppression in hepatocellular carcinoma.

Xiang L, Piao L, Wang D, Qi L Front Immunol. 2022; 13:974241.

PMID: 36544774 PMC: 9760682. DOI: 10.3389/fimmu.2022.974241.


An asparagine metabolism-based classification reveals the metabolic and immune heterogeneity of hepatocellular carcinoma.

Bai J, Tang R, Zhou K, Chang J, Wang H, Zhang Q BMC Med Genomics. 2022; 15(1):222.

PMID: 36284275 PMC: 9594908. DOI: 10.1186/s12920-022-01380-z.


Hepatocellular carcinoma stage: an almost loss of fatty acid metabolism and gain of glucose metabolic pathways dysregulation.

Balakrishnan K Med Oncol. 2022; 39(12):247.

PMID: 36209296 DOI: 10.1007/s12032-022-01839-0.


Identification of Immune Microenvironment Changes and the Expression of Immune-Related Genes in Liver Cirrhosis.

Liu Y, Dong Y, Wu X, Wang X, Niu J Front Immunol. 2022; 13:918445.

PMID: 35903097 PMC: 9315064. DOI: 10.3389/fimmu.2022.918445.


References
1.
Fernandez C, Des Rosiers C, Previs S, David F, Brunengraber H . Correction of 13C mass isotopomer distributions for natural stable isotope abundance. J Mass Spectrom. 1996; 31(3):255-62. DOI: 10.1002/(SICI)1096-9888(199603)31:3<255::AID-JMS290>3.0.CO;2-3. View

2.
Chan E, Koh P, Mal M, Cheah P, Eu K, Backshall A . Metabolic profiling of human colorectal cancer using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy and gas chromatography mass spectrometry (GC/MS). J Proteome Res. 2008; 8(1):352-61. DOI: 10.1021/pr8006232. View

3.
Plumb R, Granger J, Stumpf C, Wilson I, Evans J, Lenz E . Metabonomic analysis of mouse urine by liquid-chromatography-time of flight mass spectrometry (LC-TOFMS): detection of strain, diurnal and gender differences. Analyst. 2003; 128(7):819-23. DOI: 10.1039/b304296k. View

4.
Metallo C, Gameiro P, Bell E, Mattaini K, Yang J, Hiller K . Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia. Nature. 2011; 481(7381):380-4. PMC: 3710581. DOI: 10.1038/nature10602. View

5.
Chen J, Wang W, Lv S, Yin P, Zhao X, Lu X . Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations. Anal Chim Acta. 2009; 650(1):3-9. DOI: 10.1016/j.aca.2009.03.039. View