Metabolic Pattern of Brain Death—NMR-Based Metabolomics of Cerebrospinal Fluid

The aim of this study was to gain insight into the biochemical status of cerebrospinal fluid in the presence of brain death in life-supported patients. The biochemical status was determined via in vitro NMR spectroscopy of cerebrospinal fluid (CSF) obtained by lumbar puncture from 22 patients with confirmed brain death and compared with that of 34 control patients (without neurological diseases). Forty-one NMR signals from raw CSF samples and 20 signals from lipid extracts were analyzed using univariate and multivariate statistical methods. ANOVA revealed significant differences in all analyzed signals. No single biochemical marker was found to predict brain death. The CSF metabolic profiles of patients who died differed significantly from those of patients in the control group. There were many statistically significantly different compounds, including amino acids, ketone bodies, lactate, pyruvate, citrate, guanidinoacetate, choline, and glycerophosphocholine. Analysis of lipids revealed significant differences in cholesterol, estriol, and phosphoethanolamine. Discriminant analysis allows the analysis of metabolic profiles instead of single biomarkers of cerebrospinal fluid compounds. The results of our analysis allowed us to split the groups-the control group, which consisted of patients with a normal biochemical CSF composition, and the brain death group-with confirmed brain death.

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Journal
International Journal of Molecular Sciences
Published
2025-03-18
DOI
https://doi.org/10.3390/ijms26062719
Primary Topic
Epilepsy research and treatment
Type
article
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article

Metabolic Pattern of Brain Death—NMR-Based Metabolomics of Cerebrospinal Fluid

Elżbieta Ziemińska, Piotr Kalinowski, Beata Toczyłowska, Michał Grąt et al.
International Journal of Molecular Sciences
Epilepsy research and treatment
article

Metabolic Pattern of Brain Death—NMR-Based Metabolomics of Cerebrospinal Fluid

Elżbieta Ziemińska, Piotr Kalinowski, Beata Toczyłowska, Michał Grąt, Agata Kacka-Piotrowska, Paulina Duda
article en

Abstract

The aim of this study was to gain insight into the biochemical status of cerebrospinal fluid in the presence of brain death in life-supported patients. The biochemical status was determined via in vitro NMR spectroscopy of cerebrospinal fluid (CSF) obtained by lumbar puncture from 22 patients with confirmed brain death and compared with that of 34 control patients (without neurological diseases). Forty-one NMR signals from raw CSF samples and 20 signals from lipid extracts were analyzed using univariate and multivariate statistical methods. ANOVA revealed significant differences in all analyzed signals. No single biochemical marker was found to predict brain death. The CSF metabolic profiles of patients who died differed significantly from those of patients in the control group. There were many statistically significantly different compounds, including amino acids, ketone bodies, lactate, pyruvate, citrate, guanidinoacetate, choline, and glycerophosphocholine. Analysis of lipids revealed significant differences in cholesterol, estriol, and phosphoethanolamine. Discriminant analysis allows the analysis of metabolic profiles instead of single biomarkers of cerebrospinal fluid compounds. The results of our analysis allowed us to split the groups-the control group, which consisted of patients with a normal biochemical CSF composition, and the brain death group-with confirmed brain death.

International Journal of Molecular SciencesVol. 26(6)
Medical University of Warsaw (PL), Mossakowski Medical Research Institute, Polish Academy of Sciences (PL), Institute of Biocybernetics and Biomedical Engineering (PL), Polish Academy of Sciences (PL)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 94%
Epilepsy research and treatment
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Metabolic Pattern of Brain Death—NMR-Based Metabolomics of Cerebrospinal Fluid — Elżbieta Ziemińska, Piotr Kalinowski, et al. · International Journal of Molecular Sciences (2025) | TGRS Research Map | TGRS