The gut microbiota and metabolite profiles are altered in patients with spinal cord injury

被引:10
|
作者
Kong, Ganggang [1 ]
Zhang, Wenwu [1 ]
Zhang, Siyun [2 ]
Chen, Jiewen [1 ]
He, Kejun [3 ]
Zhang, Changming [3 ]
Yuan, Xi [4 ]
Xie, Baoshu [3 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Spinal Surg, Guangdong Prov Key Lab Orthoped & Traumatol, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Rehabil Med, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Neurosurg, 58 Zhong Shan Er Lu, Guangzhou 510080, Guangdong, Peoples R China
[4] Bazhong Cent Hosp, Dept Anesthesiol, Bazhong, Peoples R China
基金
中国国家自然科学基金;
关键词
Spinal cord injury; Gut microbiota; 16S rRNA gene sequencing; Untargeted metabolomics; NEUROGENIC BOWEL; DYSFUNCTION; MANAGEMENT; DYSBIOSIS; URIDINE; HEALTH;
D O I
10.1186/s13041-023-01014-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BackgroundMetabolites secreted by the gut microbiota may play an essential role in microbiota-gut-central nervous system crosstalk. In this study, we explored the changes occurring in the gut microbiota and their metabolites in patients with spinal cord injury (SCI) and analyzed the correlations among them.MethodsThe structure and composition of the gut microbiota derived from fecal samples collected from patients with SCI (n = 11) and matched control individuals (n = 10) were evaluated using 16S rRNA gene sequencing. Additionally, an untargeted metabolomics approach was used to compare the serum metabolite profiles of both groups. Meanwhile, the association among serum metabolites, the gut microbiota, and clinical parameters (including injury duration and neurological grade) was also analyzed. Finally, metabolites with the potential for use in the treatment of SCI were identified based on the differential metabolite abundance analysis.ResultsThe composition of the gut microbiota was different between patients with SCI and healthy controls. At the genus level, compared with the control group, the abundance of UBA1819, Anaerostignum, Eggerthella, and Enterococcus was significantly increased in the SCI group, whereas that of Faecalibacterium, Blautia, Escherichia-Shigella, Agathobacter, Collinsella, Dorea, Ruminococcus, Fusicatenibacter, and Eubacterium was decreased. Forty-one named metabolites displayed significant differential abundance between SCI patients and healthy controls, including 18 that were upregulated and 23 that were downregulated. Correlation analysis further indicated that the variation in gut microbiota abundance was associated with changes in serum metabolite levels, suggesting that gut dysbiosis is an important cause of metabolic disorders in SCI. Finally, gut dysbiosis and serum metabolite dysregulation was found to be associated with injury duration and severity of motor dysfunction after SCI.ConclusionsWe present a comprehensive landscape of the gut microbiota and metabolite profiles in patients with SCI and provide evidence that their interaction plays a role in the pathogenesis of SCI. Furthermore, our findings suggested that uridine, hypoxanthine, PC(18:2/0:0), and kojic acid may be important therapeutic targets for the treatment of this condition.
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页数:14
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