Correlation of Metabolic Profiles of Plasma and Cerebrospinal Fluid of High-Grade Glioma Patients

Rogachev, Artem D.; Alemasov, N. A.; Иванисенко, В. А.; Ivanisenko, Nikita V.; Gaisler, E. V.; Oleshko, Olga; Чересиз, С. В.; Мишинов, С. В.; Stupak, V. V.; Pokrovsky, Andrey G.

doi:10.3390/metabo11030133

Cited by 15 publications

(11 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Up to now, only a limited number of studies have explored the metabolic landscape of GBM patients focusing on biofluids in line with the anticipation that the latter will pave the way towards non-invasive procedures in the clinic, despite the advantage of untargeted mass spectrometry-based metabolomics to detect as many metabolites as possible at once, identify unexpected metabolic alterations, and characterize novel metabolites in biological samples [ 12 , 22 , 23 , 24 , 25 ]. Even fewer are the datasets that are well-balanced both at the exploratory and validation phases [ 26 , 27 ] coupling untargeted metabolomics to a mixed-methods content analysis.…”

Section: Introductionmentioning

confidence: 99%

Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes

et al. 2023

View full text Add to dashboard Cite

The accumulation of cell biomass is associated with dramatically increased bioenergetic and biosynthetic demand. Metabolic reprogramming, once thought as an epiphenomenon, currently relates to disease progression, also in response to extracellular fate-decisive signals. Glioblastoma multiforme patients often suffer misdiagnosis, short survival time, low quality of life, and poor disease management options. Today, tumor genetic testing and histological analysis guide diagnosis and treatment. We and others appreciate that metabolites complement translational biomarkers and molecular signatures in disease profiling and phenotyping. Herein, we coupled a mixed-methods content analysis to a mass spectrometry-based untargeted metabolomic analysis on plasma samples from glioblastoma multiforme patients to delineate the role of metabolic remodeling in biological plasticity and, hence, disease severity. Following data processing and analysis, we established a bioenergetic profile coordinated by the mitochondrial function and redox state, lipids, and energy substrates. Our findings show that epigenetic modulators are key players in glioblastoma multiforme cell metabolism, in particular when microRNAs are considered. We propose that biological plasticity in glioblastoma multiforme is a mechanism of adaptation and resistance to treatment which is eloquently revealed by bioenergetics.

show abstract

Section: Introductionmentioning

confidence: 99%

Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes

et al. 2023

View full text Add to dashboard Cite

show abstract

“…In this study, we performed metabolomic analysis of blood plasma from COVID-19 patients and the control group using the high-performance liquid chromatography coupled with tandem mass spectrometric detection (LC–MS/MS). The proposed approach to metabolomic analysis has been previously employed by ourselves for the study of metabolomic profiles of cerebrospinal fluid and blood plasma samples of high-grade glioma patients 26 .…”

Section: Introductionmentioning

confidence: 99%

Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients

Иванисенко

Gaisler

Basov

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Metabolomic analysis of blood plasma samples from COVID-19 patients is a promising approach allowing for the evaluation of disease progression. We performed the metabolomic analysis of plasma samples of 30 COVID-19 patients and the 19 controls using the high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometric detection (LC–MS/MS). In our analysis, we identified 103 metabolites enriched in KEGG metabolic pathways such as amino acid metabolism and the biosynthesis of aminoacyl-tRNAs, which differed significantly between the COVID-19 patients and the controls. Using ANDSystem software, we performed the reconstruction of gene networks describing the potential genetic regulation of metabolic pathways perturbed in COVID-19 patients by SARS-CoV-2 proteins. The nonstructural proteins of SARS-CoV-2 (orf8 and nsp5) and structural protein E were involved in the greater number of regulatory pathways. The reconstructed gene networks suggest the hypotheses on the molecular mechanisms of virus-host interactions in COVID-19 pathology and provide a basis for the further experimental and computer studies of the regulation of metabolic pathways by SARS-CoV-2 proteins. Our metabolomic analysis suggests the need for nonstructural protein-based vaccines and the control strategy to reduce the disease progression of COVID-19.

show abstract

“…There are numerous original and review studies that have examined the CSF-blood correlation for certain analytes. One of the most impressive is a recent metabolomic study by Rogachev et al (2021) [ 35 ] that identified as many as 101 analytes in the samples of both CSF and plasma collected on the same day in glioma patients and healthy controls. The statistical analysis showed a significant correlation between plasma and CSF for the majority of metabolites.…”

Section: Introductionmentioning

confidence: 99%

Neurospecific Molecules Measured in Periphery in Humans: How Do They Correlate with the Brain Levels? A Systematic Review

Tikhonova¹,

Zhanaeva²,

Shvaikovskaya³

et al. 2022

IJMS

View full text Add to dashboard Cite

Human brain state is usually estimated by brain-specific substances in peripheral tissues, but, for most analytes, a concordance between their content in the brain and periphery is unclear. In this systematic review, we summarized the investigated correlations in humans. PubMed was searched up to June 2022. We included studies measuring the same endogenous neurospecific analytes in the central nervous system and periphery in the same subjects. Not eligible were studies of cerebrospinal fluid, with significant blood–brain barrier disruption, of molecules with well-established blood-periphery concordance or measured in brain tumors. Seventeen studies were eligible. Four studies did not report on correlation and four revealed no significant correlation. Four molecules were examined twice. For BDNF, there was no correlation in both studies. For phenylalanine, glutamine, and glutamate, results were contradictory. Strong correlations were found for free tryptophan (r = 0.97) and translocator protein (r = 0.90). Thus, only for three molecules was there some certainty. BDNF in plasma or serum does not reflect brain content, whereas free tryptophan (in plasma) and translocator protein (in blood cells) can serve as peripheral biomarkers. We expect a breakthrough in the field with advanced in vivo metabolomic analyses, neuroimaging techniques, and blood assays for exosomes of brain origin.

show abstract

Correlation of Metabolic Profiles of Plasma and Cerebrospinal Fluid of High-Grade Glioma Patients

Cited by 15 publications

References 44 publications

Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes

Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes

Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients

Neurospecific Molecules Measured in Periphery in Humans: How Do They Correlate with the Brain Levels? A Systematic Review

Contact Info

Product

Resources

About