Cerebrospinal fluid metabolite alterations in patients with different etiologies, diagnoses, and prognoses of disorders of consciousness
Introduction Medical management of disorders of consciousness (DoC) is a growing issue imposing a major burden on families and societies. Recovery rates vary widely among patients with DoC, and recovery predictions strongly influence decisions on medical care. However, the specific mechanisms underl...
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Veröffentlicht in: | Brain and behavior 2023-08, Vol.13 (8), p.e3070-n/a |
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Sprache: | eng |
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Zusammenfassung: | Introduction
Medical management of disorders of consciousness (DoC) is a growing issue imposing a major burden on families and societies. Recovery rates vary widely among patients with DoC, and recovery predictions strongly influence decisions on medical care. However, the specific mechanisms underlying different etiologies, consciousness levels, and prognoses are still unclear.
Methods
We analyzed the comprehensive cerebrospinal fluid (CSF) metabolome through liquid chromatography‐mass spectrometry. Metabolomic analyses were used to identify the metabolic differences between patients with different etiologies, diagnoses, and prognoses.
Results
We found that the CSF levels of multiple acylcarnitines were lower in patients with traumatic DoC, suggesting mitochondrial function preservation in the CNS, which might contribute to the better consciousness outcomes of these patients. Metabolites related to glutamate and GABA metabolism were altered and showed a good ability to distinguish the patients in the minimally conscious state and the vegetative state. Moreover, we identified 8 phospholipids as potential biomarkers to predict the recovery of consciousness.
Conclusions
Our findings shed light on the differences in physiological activities underlying DoC with different etiologies and identified some potential biomarkers used for DoC diagnosis and prognosis.
The cerebrospinal fluid metabolism alterations of disorders of consciousness have been reveled for the
first time, which promote the understanding of the pathogenesis. Plenty of biomarkers contribute to
diagnosis and prognosis have been identified. |
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ISSN: | 2162-3279 2162-3279 |
DOI: | 10.1002/brb3.3070 |