Correlation of Metabolic Profiles of Plasma and Cerebrospinal Fluid of High-Grade Glioma Patients.
A D RogachevN A AlemasovVladimir A IvanisenkoN V IvanisenkoE V GaislerO S OleshkoS V CheresizS V MishinovV V StupakA G PokrovskyPublished in: Metabolites (2021)
This work compares the metabolic profiles of plasma and the cerebrospinal fluid (CSF) of the patients with high-grade (III and IV) gliomas and the conditionally healthy controls using the wide-range targeted screening of low molecular metabolites by HPLC-MS/MS. The obtained data were analyzed using robust linear regression with Huber's M-estimates, and a number of metabolites with correlated content in plasma and CSF was identified. The statistical analysis shows a significant correlation of metabolite content in plasma and CSF samples for the majority of metabolites. Several metabolites were shown to have high correlation in the control samples, but not in the glioma patients. This can be due to the specific metabolic processes in the glioma patients or to the damaged integrity of blood-brain barrier. The results of our study may be useful for the understanding of molecular mechanisms underlying the development of gliomas, as well as for the search of potential biomarkers for the minimally invasive diagnostic procedures of gliomas.
Keyphrases
- high grade
- ms ms
- end stage renal disease
- cerebrospinal fluid
- ejection fraction
- chronic kidney disease
- newly diagnosed
- minimally invasive
- prognostic factors
- low grade
- peritoneal dialysis
- machine learning
- liquid chromatography tandem mass spectrometry
- patient reported outcomes
- deep learning
- high performance liquid chromatography
- single molecule
- electronic health record
- simultaneous determination
- neural network