| Title |
GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients
|
|---|---|
| Published in |
Journal of Neuro-Oncology, March 2013
|
| DOI | 10.1007/s11060-013-1090-x |
| Pubmed ID | |
| Authors |
Satoshi Nakamizo, Takashi Sasayama, Masakazu Shinohara, Yasuhiro Irino, Shin Nishiumi, Masamitsu Nishihara, Hirotomo Tanaka, Kazuhiro Tanaka, Katsu Mizukawa, Tomoo Itoh, Masaaki Taniguchi, Kohkichi Hosoda, Masaru Yoshida, Eiji Kohmura |
| Abstract |
Metabolomics has recently undergone rapid development; however, metabolomic analysis in cerebrospinal fluid (CSF) is not a common practice. We analyzed the metabolite profiles of preoperative CSF samples from 32 patients with histologically confirmed glioma using gas chromatography/mass spectrometry (GC/MS). We assessed how alterations in the metabolite levels were related to the World Health Organization (WHO) tumor grades, tumor location, gadolinium enhancement on magnetic resonance imaging (MRI), and the isocitrate dehydrogenase (IDH) mutation status. Sixty-one metabolites were identified in the CSF from glioma patients using targeted, quantitative and non-targeted, semi-quantitative analysis. The citric and isocitric acid levels were significantly higher in the glioblastoma (GBM) samples than in the grades I-II and grade III glioma samples. In addition, the lactic and 2-aminopimelic acid levels were relatively higher in the GBM samples than in the grades I-II glioma samples. The CSF levels of the citric, isocitric, and lactic acids were significantly higher in grade I-III gliomas with mutant IDH than in those with wild-type IDH. The tumor location and enhancement obtained using MRI did not significantly affect the metabolite profiles. Higher CSF levels of lactic acid were statistically associated with a poorer prognosis in grades III-IV malignant gliomas. Our study suggests that the metabolomic analysis of CSF from glioma patients may be useful for predicting the glioma grade, metabolic state, and prognosis of gliomas. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 2% |
| Costa Rica | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 121 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 20% |
| Researcher | 19 | 15% |
| Student > Bachelor | 12 | 10% |
| Student > Master | 11 | 9% |
| Professor > Associate Professor | 10 | 8% |
| Other | 28 | 22% |
| Unknown | 20 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 23% |
| Agricultural and Biological Sciences | 19 | 15% |
| Chemistry | 13 | 10% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Other | 25 | 20% |
| Unknown | 23 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2013.
All research outputs
#15,271,180
of 22,709,015 outputs
Outputs from Journal of Neuro-Oncology
#1,941
of 2,959 outputs
Outputs of similar age
#121,920
of 194,015 outputs
Outputs of similar age from Journal of Neuro-Oncology
#14
of 31 outputs
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