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Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients. / Rogachev, A. D.; Alemasov, N. A.; Ivanisenko, V. A. et al.

In: Metabolites, Vol. 11, No. 3, 133, 03.2021, p. 1-14.

Research output: Contribution to journalArticlepeer-review

Harvard

Rogachev, AD, Alemasov, NA, Ivanisenko, VA, Ivanisenko, NV, Gaisler, EV, Oleshko, OS, Cheresiz, SV, Mishinov, SV, Stupak, VV & Pokrovsky, AG 2021, 'Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients', Metabolites, vol. 11, no. 3, 133, pp. 1-14. https://doi.org/10.3390/metabo11030133

APA

Rogachev, A. D., Alemasov, N. A., Ivanisenko, V. A., Ivanisenko, N. V., Gaisler, E. V., Oleshko, O. S., Cheresiz, S. V., Mishinov, S. V., Stupak, V. V., & Pokrovsky, A. G. (2021). Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients. Metabolites, 11(3), 1-14. [133]. https://doi.org/10.3390/metabo11030133

Vancouver

Rogachev AD, Alemasov NA, Ivanisenko VA, Ivanisenko NV, Gaisler EV, Oleshko OS et al. Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients. Metabolites. 2021 Mar;11(3):1-14. 133. doi: 10.3390/metabo11030133

Author

BibTeX

@article{508cdab696e047108cf3cbb3111a23f4,
title = "Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients",
abstract = "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{\textquoteright}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.",
keywords = "Cerebrospinal fluid, Glioma, Liquid chromatography, Metabolomics, Plasma, Tandem mass spectrometry",
author = "Rogachev, {A. D.} and Alemasov, {N. A.} and Ivanisenko, {V. A.} and Ivanisenko, {N. V.} and Gaisler, {E. V.} and Oleshko, {O. S.} and Cheresiz, {S. V.} and Mishinov, {S. V.} and Stupak, {V. V.} and Pokrovsky, {A. G.}",
note = "Funding Information: Funding: This research was funded by the Ministry of Science and Higher Education of the Russian Federation, project number FSUS-2020-0035. Bioinformatics analysis was funded by the State Budget Project number 0259-2021-0009 “Systems biology and bioinformatics: reconstruction, analysis and modeling of the structural and functional organization and evolution of gene networks in humans, animals, plants and microorganisms”. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = mar,
doi = "10.3390/metabo11030133",
language = "English",
volume = "11",
pages = "1--14",
journal = "Metabolites",
issn = "2218-1989",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

RIS

TY - JOUR

T1 - Correlation of metabolic profiles of plasma and cerebrospinal fluid of high-grade glioma patients

AU - Rogachev, A. D.

AU - Alemasov, N. A.

AU - Ivanisenko, V. A.

AU - Ivanisenko, N. V.

AU - Gaisler, E. V.

AU - Oleshko, O. S.

AU - Cheresiz, S. V.

AU - Mishinov, S. V.

AU - Stupak, V. V.

AU - Pokrovsky, A. G.

N1 - Funding Information: Funding: This research was funded by the Ministry of Science and Higher Education of the Russian Federation, project number FSUS-2020-0035. Bioinformatics analysis was funded by the State Budget Project number 0259-2021-0009 “Systems biology and bioinformatics: reconstruction, analysis and modeling of the structural and functional organization and evolution of gene networks in humans, animals, plants and microorganisms”. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/3

Y1 - 2021/3

N2 - 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.

AB - 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.

KW - Cerebrospinal fluid

KW - Glioma

KW - Liquid chromatography

KW - Metabolomics

KW - Plasma

KW - Tandem mass spectrometry

UR - http://www.scopus.com/inward/record.url?scp=85102735228&partnerID=8YFLogxK

U2 - 10.3390/metabo11030133

DO - 10.3390/metabo11030133

M3 - Article

C2 - 33669010

AN - SCOPUS:85102735228

VL - 11

SP - 1

EP - 14

JO - Metabolites

JF - Metabolites

SN - 2218-1989

IS - 3

M1 - 133

ER -

ID: 28134517