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Alterations and correlations of gut microbiota, fecal, and serum metabolome characteristics in a rat model of alcohol use disorder.

作者信息

Wang Xiaolong, Li Lin, Bian Cong, Bai Mingjian, Yu Haitao, Gao Han, Zhao Jiaxin, Zhang Chunjing, Zhao Rongjie

机构信息

Department of Medical Technology, Qiqihar Medical University, Qiqihar, Heilongjiang, China.

National and Local United Engineering Laboratory for Chinese Herbal Medicine Breeding and Cultivation, School of Life Sciences, Jilin University, Changchun, China.

出版信息

Front Microbiol. 2023 Jan 4;13:1068825. doi: 10.3389/fmicb.2022.1068825. eCollection 2022.


DOI:10.3389/fmicb.2022.1068825
PMID:36687619
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9846065/
Abstract

BACKGROUND: Growing evidence suggests the gut microbiota and metabolites in serum or fecal may play a key role in the process of alcohol use disorder (AUD). However, the correlations of gut microbiota and metabolites in both feces and serum in AUD subjects are not well understood. METHODS: We established a rat model of AUD by a chronic intermittent ethanol voluntary drinking procedure, then the AUD syndromes, the gut microbiota, metabolomic profiling in feces and serum of the rats were examined, and correlations between gut microbiota and metabolites were analyzed. RESULTS: Ethanol intake preference increased and maintained at a high level in experimental rats. Anxiety-like behaviors was observed by open field test and elevated plus maze test after ethanol withdraw, indicating that the AUD rat model was successfully developed. The full length 16S rRNA gene sequencing showed AUD significantly changed the β-diversity of gut microbial communities, and significantly decreased the microbial diversity but did not distinctly impact the microbial richness. Microbiota composition significantly changed in AUD rats, such as the abundance of and were significantly increased, whereas was decreased. In addition, the untargeted metabolome analysis revealed that many metabolites in both feces and serum were altered in the AUD rats, especially involved in sphingolipid metabolism and glycerophospholipid metabolism pathways. Finally, multiple correlations among AUD behavior, gut microbiota and co-changed metabolites were identified, and the metabolites were directly correlated with the gut microbiota and alcohol preference. CONCLUSION: The altered metabolites in feces and serum are important links between the gut microbiota dysbiosis and alcohol preference in AUD rats, and the altered gut microbiota and metabolites can be potentially new targets for treating AUD.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/c3120b9fac14/fmicb-13-1068825-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/154891734d64/fmicb-13-1068825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/dfd19c98694f/fmicb-13-1068825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/22adb12f84e1/fmicb-13-1068825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/172b764e1e54/fmicb-13-1068825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/62015b7a87c2/fmicb-13-1068825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/1fb6ca827650/fmicb-13-1068825-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/30809efa3006/fmicb-13-1068825-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/bdaad2ad52e7/fmicb-13-1068825-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/dc7bf45046e2/fmicb-13-1068825-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/697c24287552/fmicb-13-1068825-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/2b7047b55f77/fmicb-13-1068825-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/bf3fbfa5c2c7/fmicb-13-1068825-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/c3120b9fac14/fmicb-13-1068825-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/154891734d64/fmicb-13-1068825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/dfd19c98694f/fmicb-13-1068825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/22adb12f84e1/fmicb-13-1068825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/172b764e1e54/fmicb-13-1068825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/62015b7a87c2/fmicb-13-1068825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/1fb6ca827650/fmicb-13-1068825-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/30809efa3006/fmicb-13-1068825-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/bdaad2ad52e7/fmicb-13-1068825-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/dc7bf45046e2/fmicb-13-1068825-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/697c24287552/fmicb-13-1068825-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/2b7047b55f77/fmicb-13-1068825-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/bf3fbfa5c2c7/fmicb-13-1068825-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/087a/9846065/c3120b9fac14/fmicb-13-1068825-g013.jpg

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Biomedicines. 2022-5-21

[3]
Gut Microbiome Dysbiosis in Alcoholism: Consequences for Health and Recovery.

Front Cell Infect Microbiol. 2022

[4]
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[6]
Synergistic effect between quinpirole and L-NAME as well as sulpiride and L-arginine on the modulation of anxiety and memory processes in the 6-OHDA mouse model of Parkinson's disease: An isobologram analysis.

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Integrated Analyses of the Gut Microbiota, Intestinal Permeability, and Serum Metabolome Phenotype in Rats with Alcohol Withdrawal Syndrome.

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[10]
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