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电针对早老素1/2条件性双敲除小鼠尿液代谢组和微生物群的影响。

Effects of electroacupuncture on urinary metabolome and microbiota in presenilin1/2 conditional double knockout mice.

作者信息

Gao Jie, Zhou Nian, Lu Mengna, Wang Qixue, Zhao Chenyi, Wang Jian, Zhou Mingmei, Xu Ying

机构信息

School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Department of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Nantong, China.

出版信息

Front Microbiol. 2023 Jan 24;13:1047121. doi: 10.3389/fmicb.2022.1047121. eCollection 2022.


DOI:10.3389/fmicb.2022.1047121
PMID:36762099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9904445/
Abstract

AIM: The treatment of Alzheimer's disease (AD) is still a worldwide problem due to the unclear pathogenesis and lack of effective therapeutic targets. In recent years, metabolomic and gut microbiome changes in patients with AD have received increasing attention, and the microbiome-gut-brain (MGB) axis has been proposed as a new hypothesis for its etiology. Considering that electroacupuncture (EA) efficiently moderates cognitive deficits in AD and its mechanisms remain poorly understood, especially regarding its effects on the gut microbiota, we performed urinary metabolomic and microbial community profiling on EA-treated AD model mice, presenilin 1/2 conditional double knockout (PS cDKO) mice, to observe the effect of EA treatment on the gut microbiota in AD and find the connection between affected gut microbiota and metabolites. MATERIALS AND METHODS: After 30 days of EA treatment, the recognition memory ability of PS cDKO mice was evaluated by the Y maze and the novel object recognition task. Urinary metabolomic profiling was conducted with the untargeted GC-MS method, and 16S rRNA sequence analysis was applied to analyze the microbial community. In addition, the association between differential urinary metabolites and gut microbiota was clarified by Spearman's correlation coefficient analysis. KEY FINDINGS: In addition to reversed cognitive deficits, the urinary metabolome and gut microbiota of PS cDKO mice were altered as a result of EA treatment. Notably, the increased level of isovalerylglycine and the decreased levels of glycine and threonic acid in the urine of PS cDKO mice were reversed by EA treatment, which is involved in glyoxylate and dicarboxylate metabolism, as well as glycine, serine, and threonine metabolism. In addition to significantly enhancing the diversity and richness of the microbial community, EA treatment significantly increased the abundance of the genus , while displaying no remarkable effect on the other major altered gut microbiota in PS cDKO mice, , , and . There was a significant correlation between differential urinary metabolites and differential gut microbiota. SIGNIFICANCE: Electroacupuncture alleviates cognitive deficits in AD by modulating gut microbiota and metabolites. might play an important role in the underlying mechanism of EA treatment. Our study provides a reference for future treatment of AD from the MGB axis.

摘要

目的:由于阿尔茨海默病(AD)的发病机制尚不清楚且缺乏有效的治疗靶点,其治疗仍是一个全球性问题。近年来,AD患者的代谢组学和肠道微生物群变化受到越来越多的关注,微生物-肠道-脑(MGB)轴已被提出作为其病因的新假说。考虑到电针(EA)能有效缓解AD患者的认知缺陷,但其机制仍知之甚少,尤其是其对肠道微生物群的影响,我们对经EA治疗的AD模型小鼠早老素1/2条件性双敲除(PS cDKO)小鼠进行了尿液代谢组学和微生物群落分析,以观察EA治疗对AD肠道微生物群的影响,并找出受影响的肠道微生物群与代谢物之间的联系。 材料与方法:EA治疗30天后,通过Y迷宫和新物体识别任务评估PS cDKO小鼠的认知记忆能力。采用非靶向气相色谱-质谱法进行尿液代谢组学分析,并应用16S rRNA序列分析来分析微生物群落。此外,通过Spearman相关系数分析阐明差异尿液代谢物与肠道微生物群之间的关联。 主要发现:除了逆转认知缺陷外,EA治疗还改变了PS cDKO小鼠的尿液代谢组和肠道微生物群。值得注意的是,PS cDKO小鼠尿液中异戊酰甘氨酸水平升高以及甘氨酸和苏糖酸水平降低通过EA治疗得到逆转,这涉及乙醛酸和二羧酸代谢以及甘氨酸、丝氨酸和苏氨酸代谢。除了显著提高微生物群落的多样性和丰富度外,EA治疗还显著增加了属的丰度,而对PS cDKO小鼠中其他主要改变的肠道微生物群、、和没有显著影响。差异尿液代谢物与差异肠道微生物群之间存在显著相关性。 意义:电针通过调节肠道微生物群和代谢物来缓解AD的认知缺陷。可能在EA治疗的潜在机制中起重要作用。我们的研究为未来从MGB轴治疗AD提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/ff1a16592122/fmicb-13-1047121-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/776b019717da/fmicb-13-1047121-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/f4ce59b72c0e/fmicb-13-1047121-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/e0ec534adba7/fmicb-13-1047121-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/7fc99324dbd1/fmicb-13-1047121-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/23a171b474c7/fmicb-13-1047121-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/a49d98515d9d/fmicb-13-1047121-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/4da4bdf2af4c/fmicb-13-1047121-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/ff1a16592122/fmicb-13-1047121-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/776b019717da/fmicb-13-1047121-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/f4ce59b72c0e/fmicb-13-1047121-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/e0ec534adba7/fmicb-13-1047121-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/7fc99324dbd1/fmicb-13-1047121-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/23a171b474c7/fmicb-13-1047121-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/a49d98515d9d/fmicb-13-1047121-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/4da4bdf2af4c/fmicb-13-1047121-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9df/9904445/ff1a16592122/fmicb-13-1047121-g008.jpg

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本文引用的文献

[1]
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Emerg Microbes Infect. 2022-12

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Genomes Assembled from Metagenomes Suggest Genetic Drivers of Differential Response to Acarbose Treatment in Mice.

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