Gut microbiota links with cognitive impairment in amyotrophic lateral sclerosis: A multi-omics study
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Author
Gong, ZhenxiangBa, Li
Tang, Jiahui
Yang, Yuan
Li, Zehui
Liu, Mao
Yang, Chun
Ding, Fengfei
Zhang, Min
Journal title
The Journal of Biomedical ResearchDate Published
2023Publication Volume
37Publication Issue
2Publication Begin page
125
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Show full item recordAbstract
Recently, cognitive impairments (CI) and behavioral abnormalities in patients with amyotrophic lateral sclerosis (ALS) have been reported. However, the underlying mechanisms have been poorly understood. In the current study, we explored the role of gut microbiota in CI of ALS patients. We collected fecal samples from 35 ALS patients and 35 healthy controls. The cognitive function of the ALS patients was evaluated using the Edinburgh Cognitive and Behavioral ALS Screen. We analyzed these samples by using 16S rRNA gene sequencing as well as both untargeted and targeted (bile acids) metabolite mapping between patients with CI and patients with normal cognition (CN). We found altered gut microbial communities and a lower ratio of Firmicutes/ Bacteroidetes in the CI group, compared with the CN group. In addition, the untargeted metabolite mapping revealed that 26 and 17 metabolites significantly increased and decreased, respectively, in the CI group, compared with the CN group. These metabolites were mapped to the metabolic pathways associated with bile acids. We further found that cholic acid and chenodeoxycholic acid were significantly lower in the CI group than in the CN group. In conclusion, we found that the gut microbiota and its metabolome profile differed between ALS patients with and without CI and that the altered bile acid profile in fecal samples was significantly associated with CI in ALS patients. These results need to be replicated in larger studies in the future.Citation
Gong Z, Ba L, Tang J, Yang Y, Li Z, Liu M, Yang C, Ding F, Zhang M. Gut microbiota links with cognitive impairment in amyotrophic lateral sclerosis: A multi-omics study. J Biomed Res. 2022 Dec 28;37(2):125-137. doi: 10.7555/JBR.36.20220198. PMID: 36814376; PMCID: PMC10018415.DOI
10.7555/jbr.36.20220198ae974a485f413a2113503eed53cd6c53
10.7555/jbr.36.20220198
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