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Gut Microbiome and Plasma Metabolome Signatures in Middle-Aged Mice With Cognitive Dysfunction Induced by Chronic Neuropathic Pain

Authors :
Dongyu Hua
Shan Li
Shiyong Li
Xuan Wang
Yue Wang
Zheng Xie
Yilin Zhao
Jie Zhang
Ailin Luo
Source :
Frontiers in Molecular Neuroscience, Vol 14 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

Patients with chronic neuropathic pain (CNP) often complain about their terrible memory, especially the speed of information processing. Accumulating evidence suggests a possible link between gut microbiota and pain processing as well as cognitive function via the microbiota-gut-brain axis. This study aimed at exploring the fecal microbiome and plasma metabolite profiles in middle-aged spared nerve injury (SNI) mice model with cognitive dysfunction (CD) induced by CNP. The hierarchical cluster analysis of performance in the Morris water maze test was used to classify SNI mice with CD or without CD [i.e., non-CD (NCD)] phenotype. 16S rRNA sequencing revealed a lower diversity of gut bacteria in SNI mice, and the increase of Actinobacteria, Proteus, and Bifidobacterium might contribute to the cognitive impairment in the CNP condition. The plasma metabolome analysis showed that the endocannabinoid (eCB) system, disturbances of lipids, and amino acid metabolism might be the dominant signatures of CD mice. The fecal microbiota transplantation of the Sham (not CD) group improved allodynia and cognitive performance in pseudo-germ-free mice via normalizing the mRNA expression of eCB receptors, such as cn1r, cn2r, and htr1a, reflecting the effects of gut bacteria on metabolic activity. Collectively, the findings of this study suggest that the modulation of gut microbiota and eCB signaling may serve as therapeutic targets for cognitive deficits in patients with CNP.

Details

Language :
English
ISSN :
16625099
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Molecular Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.917d5c9cc3cc4faca0c0a4c5425a7845
Document Type :
article
Full Text :
https://doi.org/10.3389/fnmol.2021.806700