Literature DB >> 33815872

Metabolic Abnormalities in Patients with Chronic Disorders of Consciousness.

Jie Yu1, Fanxia Meng1, Fangping He1, Fei Chen2, Wangxiao Bao1, Yamei Yu1, Jintao Zhou1, Jian Gao3, Jingqi Li3, Yao Yao4, Woo-Ping Ge5, Benyan Luo1.   

Abstract

The vegetative state (VS) and minimally conscious state (MCS) are two major types of chronic disorders of consciousness (DoC). The assessment of these two consciousness states generally relies on the Coma Recovery Scale-Revised (CRS-R) score, but a high misdiagnosis rate limits the generalized use of this score. To identify metabolites in human plasma that can accurately distinguish VS from MCS patients, comprehensive plasma metabolic profiles were obtained with targeted metabolomics analysis and untargeted and targeted lipidomics analysis. Univariate and multivariate analyses were used to assess the significance of differences. Compared with healthy controls (HCs), the DoC groups, Emerged from Minimally Conscious State (EMCS) group and Alzheimer's disease (AD) group had significantly different metabolic profiles. Purine metabolism pathway differed the most between the DoC (MCS and VS) and HC groups. In this pathway, adenosine, ADP, and AMP, which are the derived products of ATP degradation, were decreased in the MCS and VS groups compared to healthy controls. More importantly, we identified certain lipids for which the levels were enriched in the VS or MCS groups. Specifically, phosphatidylcholine, (38:5)-H (PC(38:5)-H), and arachidonic acid (AA) differed substantially between the VS and MCS groups and may be used to distinguish these two groups of patients. Together, our findings suggest that metabolic profiling is significantly altered in patients with chronic DoC. copyright:
© 2021 Yu et al.

Entities:  

Keywords:  Alzheimer's disease (AD); biomarkers; chronic disorders of consciousness; diagnosis; lipidomics; minimally conscious state (MCS); targeted metabolomics; vegetative state (VS)

Year:  2021        PMID: 33815872      PMCID: PMC7990357          DOI: 10.14336/AD.2020.0812

Source DB:  PubMed          Journal:  Aging Dis        ISSN: 2152-5250            Impact factor:   6.745


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