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Metabolic Alterations Related to Glioma Grading Based on Metabolomics and Lipidomics Analyses
- Source :
- Metabolites, Volume 10, Issue 12, Metabolites, Vol 10, Iss 478, p 478 (2020)
- Publication Year :
- 2020
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2020.
-
Abstract
- Gliomas are the most aggressive phenotypes of brain tumors and are classified into four grades according to the malignancy degree by the World Health Organization. Metabolic profiling can provide an overview of metabolic reprogramming at a specific stage of tumor initiation and development. Studies about metabolic alterations related to different grades of gliomas are helpful to understand the molecular mechanism for progression of glioma. In the current study, metabolomics and lipidomics analyses based on chromatography-mass spectrometry were performed on different grades of glioma tissues. Differential metabolites between glioma and para-tumor tissues were studied and used as the basis to explore metabolic alterations related to glioma grading. It was found that short-chain acylcarnitines were elevated, whereas lysophosphatidylethanolamines (LPEs) were decreased in high-grade gliomas. Furthermore, the gene expression of short/branched-chain acyl-coenzyme dehydrogenase (ACADSB), which is involved in fatty acid oxidation, was found down-regulated with glioma progression by analyzing related genes and pathways. In addition, LPE metabolism showed a significant difference among different grades of gliomas. These important metabolic pathways related to glioma progression may provide potential clues for further study on the mechanisms and treatment of glioma.
- Subjects :
- 0301 basic medicine
Endocrinology, Diabetes and Metabolism
lcsh:QR1-502
Tumor initiation
Biology
short-chain acylcarnitines
Biochemistry
Article
lcsh:Microbiology
03 medical and health sciences
0302 clinical medicine
ACADSB
Metabolomics
Glioma
glioma
Lipidomics
medicine
Molecular Biology
Grading (tumors)
neoplasms
lysophosphatidylethanolamines
grading
medicine.disease
Phenotype
metabolomics
nervous system diseases
Metabolic pathway
030104 developmental biology
030220 oncology & carcinogenesis
Cancer research
lipidomics
Subjects
Details
- Language :
- English
- ISSN :
- 22181989
- Database :
- OpenAIRE
- Journal :
- Metabolites
- Accession number :
- edsair.doi.dedup.....4def8c70eb4cc818cda3a2bde4d47b31
- Full Text :
- https://doi.org/10.3390/metabo10120478