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慢性不可预测温和应激诱导抑郁模型大鼠口腔-肠道微生物群的特征

Characteristics of Oral-Gut Microbiota in Model Rats with CUMS-Induced Depression.

作者信息

Li Yan, Liu Penghong

机构信息

Department of Stomatology, Fenyang College of Shanxi Medical University, Luliang, Shanxi Province, People's Republic of China.

Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China.

出版信息

Neuropsychiatr Dis Treat. 2024 Feb 5;20:221-232. doi: 10.2147/NDT.S448940. eCollection 2024.


DOI:10.2147/NDT.S448940
PMID:38344423
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10854232/
Abstract

PURPOSE: The diversity and composition of the oral and gut microbiota of depressed rats were analyzed to explore the microbiological etiology of major depressive disorder (MDD). METHODS: The depressed rat model was established by inducing chronic unpredictable mild stress (CUMS). After the establishment of the model, body weight measurements and behavioral tests were conducted. The diversity and composition of oral and gut microbiota were analyzed using 16SrRNA sequencing. RESULTS: There were significant differences in the alpha and beta diversity of the oral microbiota of rats in the CUMS and control groups. The top three most abundant genera in the oral microbiota were , , and . Linear discriminant analysis effect size (LEfSe) analysis showed that the abundance of decreased and that of Psychrotrophs increased in the CUMS group, and the differences were statistically significant. The top three most abundant genera in the gut microbiota were and . LEfSe analysis showed that the abundance of decreased in the CUMS group, and the difference was statistically significant. Spearman correlation analysis was performed to analyze the differential microbiota and depression-like behavior, which showed that differential microbiota significantly correlated with body weight, total distance traveled, average speed, and number of rearing. Spearman correlation analysis of oral and gut differential microbiota demonstrated a strong positive correlation between in the oral cavity and in the intestine (=0.64-0.73, <0.01); along with a strong negative correlation between in the oral cavity and , in the intestine(=-0.51--0.72, <0.05). CONCLUSION: Significant differences were observed in the diversity and composition of oral and gut microbiota between the CUMS depression model and control groups. Modulating the oral and gut microbiota may have positive effects on MDD.

摘要

目的:分析抑郁大鼠口腔和肠道微生物群的多样性及组成,以探讨重度抑郁症(MDD)的微生物病因。 方法:通过诱导慢性不可预测轻度应激(CUMS)建立抑郁大鼠模型。模型建立后,进行体重测量和行为测试。采用16SrRNA测序分析口腔和肠道微生物群的多样性及组成。 结果:CUMS组和对照组大鼠口腔微生物群的α多样性和β多样性存在显著差异。口腔微生物群中丰度最高的前三个属分别是 、 和 。线性判别分析效应大小(LEfSe)分析显示,CUMS组中 的丰度降低,嗜冷菌的丰度增加,差异具有统计学意义。肠道微生物群中丰度最高的前三个属分别是 和 。LEfSe分析显示,CUMS组中 的丰度降低,差异具有统计学意义。进行Spearman相关性分析以分析差异微生物群与抑郁样行为,结果表明差异微生物群与体重、总移动距离、平均速度和竖毛次数显著相关。口腔和肠道差异微生物群的Spearman相关性分析表明,口腔中的 与肠道中的 之间存在强正相关(=0.64 - 0.73,<0.01);同时,口腔中的 与肠道中的 、 之间存在强负相关(=-0.51 - -0.72,<0.05)。 结论:CUMS抑郁模型与对照组之间口腔和肠道微生物群的多样性及组成存在显著差异。调节口腔和肠道微生物群可能对MDD有积极影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/def2259461c7/NDT-20-221-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/2c727cd8f6d5/NDT-20-221-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/51c1d6c2d8ad/NDT-20-221-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/f2d4cee3563e/NDT-20-221-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/07bd569bb993/NDT-20-221-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/05d2cd21fb71/NDT-20-221-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/0c01dcbeb73f/NDT-20-221-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/def2259461c7/NDT-20-221-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/2c727cd8f6d5/NDT-20-221-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/51c1d6c2d8ad/NDT-20-221-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/f2d4cee3563e/NDT-20-221-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/07bd569bb993/NDT-20-221-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/05d2cd21fb71/NDT-20-221-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/0c01dcbeb73f/NDT-20-221-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c59/10854232/def2259461c7/NDT-20-221-g0007.jpg

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引用本文的文献

[1]
Gut-Microbiota-Derived Butyric Acid Overload Contributes to Ileal Mucosal Barrier Damage in Late Phase of Chronic Unpredictable Mild Stress Mice.

Int J Mol Sci. 2024-12-3

[2]
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[3]
Underlying Mechanisms behind the Brain-Gut-Liver Axis and Metabolic-Associated Fatty Liver Disease (MAFLD): An Update.

Int J Mol Sci. 2024-3-26

本文引用的文献

[1]
Periodontitis salivary microbiota exacerbates colitis-induced anxiety-like behavior via gut microbiota.

NPJ Biofilms Microbiomes. 2023-12-7

[2]
The person-to-person transmission landscape of the gut and oral microbiomes.

Nature. 2023-2

[3]
Deciphering the gut microbiome in neurodegenerative diseases and metagenomic approaches for characterization of gut microbes.

Biomed Pharmacother. 2022-12

[4]
Current Perspectives on Pharmacological and Non-Pharmacological Interventions for the Inflammatory Mechanism of Unipolar Depression.

Brain Sci. 2022-10-18

[5]
Bacterial Butyrate in Parkinson's Disease Is Linked to Epigenetic Changes and Depressive Symptoms.

Mov Disord. 2022-8

[6]
Jasmine Tea Attenuates Chronic Unpredictable Mild Stress-Induced Depressive-like Behavior in Rats via the Gut-Brain Axis.

Nutrients. 2021-12-27

[7]
Oral, Tongue-Coating Microbiota, and Metabolic Disorders: A Novel Area of Interactive Research.

Front Cardiovasc Med. 2021-8-20

[8]
Variations in the oral microbiome are associated with depression in young adults.

Sci Rep. 2021-7-22

[9]
The Link between Obesity, Microbiota Dysbiosis, and Neurodegenerative Pathogenesis.

Diseases. 2021-6-23

[10]
The Oral-Gut-Brain AXIS: The Influence of Microbes in Alzheimer's Disease.

Front Cell Neurosci. 2021-4-14

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