Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care

Abstract There is a clear difference between severe brain damage and brain death. However, in clinical practice, the differentiation of these states can be challenging. Currently, there are no laboratory tools that facilitate brain death diagnosis. The aim of our study was to evaluate the utility of...

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Autores principales:	Tomasz Dawiskiba, Wojciech Wojtowicz, Badr Qasem, Marceli Łukaszewski, Karolina Anna Mielko, Agnieszka Dawiskiba, Mirosław Banasik, Jan Paweł Skóra, Dariusz Janczak, Piotr Młynarz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/44c61889e9794e92a4683ae1353900b6
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spelling	oai:doaj.org-article:44c61889e9794e92a4683ae1353900b62021-12-02T16:24:22ZBrain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care10.1038/s41598-021-94625-32045-2322https://doaj.org/article/44c61889e9794e92a4683ae1353900b62021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94625-3https://doaj.org/toc/2045-2322Abstract There is a clear difference between severe brain damage and brain death. However, in clinical practice, the differentiation of these states can be challenging. Currently, there are no laboratory tools that facilitate brain death diagnosis. The aim of our study was to evaluate the utility of serum metabolomic analysis in differentiating coma patients (CP) from individuals with brain death (BD). Serum samples were collected from 23 adult individuals with established diagnosis of brain death and 24 patients in coma with Glasgow Coma Scale 3 or 4, with no other clinical symptoms of brain death for at least 7 days after sample collection. Serum metabolomic profiles were investigated using proton nuclear magnetic resonance (NMR) spectroscopy. The results obtained were examined by univariate and multivariate data analysis (PCA, PLS-DA, and OPLS-DA). Metabolic profiling allowed us to quantify 43 resonance signals, of which 34 were identified. Multivariate statistical modeling revealed a highly significant separation between coma patients and brain-dead individuals, as well as strong predictive potential. The findings not only highlight the potential of the metabolomic approach for distinguishing patients in coma from those in the state of brain death but also may provide an understanding of the pathogenic mechanisms underlying these conditions.Tomasz DawiskibaWojciech WojtowiczBadr QasemMarceli ŁukaszewskiKarolina Anna MielkoAgnieszka DawiskibaMirosław BanasikJan Paweł SkóraDariusz JanczakPiotr MłynarzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tomasz Dawiskiba Wojciech Wojtowicz Badr Qasem Marceli Łukaszewski Karolina Anna Mielko Agnieszka Dawiskiba Mirosław Banasik Jan Paweł Skóra Dariusz Janczak Piotr Młynarz Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
description	Abstract There is a clear difference between severe brain damage and brain death. However, in clinical practice, the differentiation of these states can be challenging. Currently, there are no laboratory tools that facilitate brain death diagnosis. The aim of our study was to evaluate the utility of serum metabolomic analysis in differentiating coma patients (CP) from individuals with brain death (BD). Serum samples were collected from 23 adult individuals with established diagnosis of brain death and 24 patients in coma with Glasgow Coma Scale 3 or 4, with no other clinical symptoms of brain death for at least 7 days after sample collection. Serum metabolomic profiles were investigated using proton nuclear magnetic resonance (NMR) spectroscopy. The results obtained were examined by univariate and multivariate data analysis (PCA, PLS-DA, and OPLS-DA). Metabolic profiling allowed us to quantify 43 resonance signals, of which 34 were identified. Multivariate statistical modeling revealed a highly significant separation between coma patients and brain-dead individuals, as well as strong predictive potential. The findings not only highlight the potential of the metabolomic approach for distinguishing patients in coma from those in the state of brain death but also may provide an understanding of the pathogenic mechanisms underlying these conditions.
format	article
author	Tomasz Dawiskiba Wojciech Wojtowicz Badr Qasem Marceli Łukaszewski Karolina Anna Mielko Agnieszka Dawiskiba Mirosław Banasik Jan Paweł Skóra Dariusz Janczak Piotr Młynarz
author_facet	Tomasz Dawiskiba Wojciech Wojtowicz Badr Qasem Marceli Łukaszewski Karolina Anna Mielko Agnieszka Dawiskiba Mirosław Banasik Jan Paweł Skóra Dariusz Janczak Piotr Młynarz
author_sort	Tomasz Dawiskiba
title	Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
title_short	Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
title_full	Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
title_fullStr	Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
title_full_unstemmed	Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
title_sort	brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/44c61889e9794e92a4683ae1353900b6
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Brain-dead and coma patients exhibit different serum metabolic profiles: preliminary investigation of a novel diagnostic approach in neurocritical care

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