Literature DB >> 22240505

Metabolomics of human cerebrospinal fluid identifies signatures of malignant glioma.

Jason W Locasale1, Tamar Melman, Susan Song, Xuemei Yang, Kenneth D Swanson, Lewis C Cantley, Eric T Wong, John M Asara.   

Abstract

Cerebrospinal fluid is routinely collected for the diagnosis and monitoring of patients with neurological malignancies. However, little is known as to how its constituents may change in a patient when presented with a malignant glioma. Here, we used a targeted mass-spectrometry based metabolomics platform using selected reaction monitoring with positive/negative switching and profiled the relative levels of over 124 polar metabolites present in patient cerebrospinal fluid. We analyzed the metabolic profiles from 10 patients presenting malignant gliomas and seven control patients that did not present malignancy to test whether a small sample size could provide statistically significant signatures. We carried out multiple unbiased forms of classification using a series of unsupervised techniques and identified metabolic signatures that distinguish malignant glioma patients from the control patients. One subtype identified contained metabolites enriched in citric acid cycle components. Newly diagnosed patients segregated into a different subtype and exhibited low levels of metabolites involved in tryptophan metabolism, which may indicate the absence of an inflammatory signature. Together our results provide the first global assessment of the polar metabolic composition in cerebrospinal fluid that accompanies malignancy, and demonstrate that data obtained from high throughput mass spectrometry technology may have suitable predictive capabilities for the identification of biomarkers and classification of neurological diseases.

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Year:  2012        PMID: 22240505      PMCID: PMC3433896          DOI: 10.1074/mcp.M111.014688

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  50 in total

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  44 in total

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Review 2.  Cell metabolomics.

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Review 3.  Review of mass spectrometry-based metabolomics in cancer research.

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Review 4.  Metabolomic signature of brain cancer.

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5.  Adaptive changes in amino acid metabolism permit normal longevity in mice consuming a low-carbohydrate ketogenic diet.

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Review 9.  Shaping the glioma immune microenvironment through tryptophan metabolism.

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