Cerebrospinal fluid metabolite alterations in patients with different etiologies, diagnoses, and prognoses of disorders of consciousness

Abstract 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 mechanis...

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Main Authors: Long Xu, Qianqian Ge, Hezhen Lu, Yutong Zhuang, Xiaoli Geng, Xueling Chen, Xiaoyan Liu, Haidan Sun, Zhengguang Guo, Jiameng Sun, Feng Qi, Xia Niu, Aiwei Wang, Wei Sun, Jianghong He
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Brain and Behavior
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Online Access:https://doi.org/10.1002/brb3.3070
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Summary:Abstract 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.
ISSN:2162-3279