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短期治疗的精神分裂症患者的肠道微生物:基于共现网络和回归分析的核心物种鉴定

Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis.

作者信息

Xiang Min, Zheng Liqin, Pu Daoshen, Lin Feng, Ma Xiaodong, Ye Huiqian, Pu Daoqiong, Zhang Ying, Wang Dong, Wang Xiaoli, Zou Kaiqing, Chen Linqi, Zhang Yong, Sun Zhanjiang, Zhang Tao, Wu Guolin

机构信息

Medical Laboratory, The Fourth People's Hospital of Ya'an, Ya'an, China.

MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

Front Microbiol. 2022 Jun 17;13:909729. doi: 10.3389/fmicb.2022.909729. eCollection 2022.

DOI:10.3389/fmicb.2022.909729
PMID:35783418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9247572/
Abstract

Schizophrenia, a common mental disorder, has a tremendous impact on the health and economy of people worldwide. Evidence suggests that the microbial-gut-brain axis is an important pathway for the interaction between the gut microbiome and the development of schizophrenia. What is not clear is how changes in the gut microbiota composition and structure during antipsychotic treatment improve the symptoms of schizophrenia. In this study, 25 patients with schizophrenia were recruited. Their fecal samples were collected before and after hospital treatment for 14-19 days. The composition and structure of the intestinal microbiota were evaluated by 16S rRNA sequencing analysis, and the results showed significant differences in fecal microbiota before and after treatment. (relative abundances of 82.60 and 86.64%) and (relative abundances of 14.17 and 13.57%) were the first dominant species at the phylum and genus levels, respectively. The random forest algorithm and co-occurrence network analysis demonstrated that intestinal flora (especially the core species ASV57) could be used as biomarkers to distinguish different clinical states and match treatment regimens accordingly. In addition, after fecal microbiota transplantation, antibiotic-treated recipient mice showed multiple behavioral improvements. These included decreased psychomotor hyperactivity, increased social interaction, and memory. In conclusion, this study suggests that differences in the composition and structure of gut microbiota after treatment are associated with the development and severity of schizophrenia. Results may provide a potential target for the treatment of this disorder.

摘要

精神分裂症是一种常见的精神障碍,对全球人们的健康和经济有着巨大影响。有证据表明,微生物-肠道-脑轴是肠道微生物群与精神分裂症发展之间相互作用的重要途径。尚不清楚的是,抗精神病治疗期间肠道微生物群组成和结构的变化如何改善精神分裂症的症状。在本研究中,招募了25名精神分裂症患者。在住院治疗14 - 19天前后收集他们的粪便样本。通过16S rRNA测序分析评估肠道微生物群的组成和结构,结果显示治疗前后粪便微生物群存在显著差异。 (相对丰度分别为82.60%和86.64%)和 (相对丰度分别为14.17%和13.57%)分别是门水平和属水平的首要优势物种。随机森林算法和共现网络分析表明,肠道菌群(尤其是核心物种ASV57)可作为区分不同临床状态并据此匹配治疗方案的生物标志物。此外,粪便微生物群移植后,接受抗生素治疗的受体小鼠出现了多种行为改善。这些改善包括精神运动性多动减少、社交互动增加和记忆力提高。总之,本研究表明治疗后肠道微生物群组成和结构的差异与精神分裂症的发展和严重程度相关。研究结果可能为该疾病的治疗提供一个潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/ad88c56dd0c9/fmicb-13-909729-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/61e930a2f0e3/fmicb-13-909729-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/ad88c56dd0c9/fmicb-13-909729-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/61e930a2f0e3/fmicb-13-909729-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/2cf6fe824a1d/fmicb-13-909729-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/3892c25a7e06/fmicb-13-909729-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/f1395a5ba72d/fmicb-13-909729-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/99f1286cb51d/fmicb-13-909729-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/18b0/9247572/ad88c56dd0c9/fmicb-13-909729-g0006.jpg

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