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Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals
Objective: The gut microecosystem is the largest microecosystem in the human body and has been proven to be linked to neurological diseases. The main objective of this study was to characterize the fecal microbiome, investigate the differences between epilepsy patients and healthy controls, and eval...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777111/ https://www.ncbi.nlm.nih.gov/pubmed/35069460 http://dx.doi.org/10.3389/fmicb.2021.696632 |
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author | Cui, Guangying Liu, Shanshuo Liu, Zhenguo Chen, Yuan Wu, Tianwen Lou, Jiamin Wang, Haiyu Zou, Yawen Sun, Ying Rao, Benchen Ren, Zhigang Lian, Yajun Jiang, Yan |
author_facet | Cui, Guangying Liu, Shanshuo Liu, Zhenguo Chen, Yuan Wu, Tianwen Lou, Jiamin Wang, Haiyu Zou, Yawen Sun, Ying Rao, Benchen Ren, Zhigang Lian, Yajun Jiang, Yan |
author_sort | Cui, Guangying |
collection | PubMed |
description | Objective: The gut microecosystem is the largest microecosystem in the human body and has been proven to be linked to neurological diseases. The main objective of this study was to characterize the fecal microbiome, investigate the differences between epilepsy patients and healthy controls, and evaluate the potential efficacy of the fecal microbiome as a diagnostic tool for epilepsy. Design: We collected 74 fecal samples from epilepsy patients (Eps, n = 24) and healthy controls (HCs, n = 50) in the First Affiliated Hospital of Zhengzhou University and subjected the samples to 16S rRNA MiSeq sequencing and analysis. We set up a train set and a test set, identified the optimal microbial markers for epilepsy after characterizing the gut microbiome in the former and built a diagnostic model, then validated it in the validation group. Results: There were significant differences in microbial communities between the two groups. The α-diversity of the HCs was higher than that of the epilepsy group, but the Venn diagram showed that there were more unique operational taxonomic unit (OTU) in the epilepsy group. At the phylum level, Proteobacteria and Actinobacteriota increased significantly in Eps, while the relative abundance of Bacteroidota increased in HCs. Compared with HCs, Eps were enriched in 23 genera, including Faecalibacterium, Escherichia-Shigella, Subdoligranulum and Enterobacteriaceae-unclassified. In contrast, 59 genera including Bacteroides, Megamonas, Prevotella, Lachnospiraceae-unclassified and Blautia increased in the HCs. In Spearman correlation analysis, age, WBC, RBC, PLT, ALB, CREA, TBIL, Hb and Urea were positively correlated with most of the different OTUs. Seizure-type, course and frequency are negatively correlated with most of the different OTUs. In addition, twenty-two optimal microbial markers were identified by a fivefold cross-validation of the random forest model. In the established train set and test set, the area under the curve was 0.9771 and 0.993, respectively. Conclusion: Our study was the first to characterize the gut microbiome of Eps and HCs in central China and demonstrate the potential efficacy of microbial markers as a noninvasive biological diagnostic tool for epilepsy. |
format | Online Article Text |
id | pubmed-8777111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87771112022-01-22 Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals Cui, Guangying Liu, Shanshuo Liu, Zhenguo Chen, Yuan Wu, Tianwen Lou, Jiamin Wang, Haiyu Zou, Yawen Sun, Ying Rao, Benchen Ren, Zhigang Lian, Yajun Jiang, Yan Front Microbiol Microbiology Objective: The gut microecosystem is the largest microecosystem in the human body and has been proven to be linked to neurological diseases. The main objective of this study was to characterize the fecal microbiome, investigate the differences between epilepsy patients and healthy controls, and evaluate the potential efficacy of the fecal microbiome as a diagnostic tool for epilepsy. Design: We collected 74 fecal samples from epilepsy patients (Eps, n = 24) and healthy controls (HCs, n = 50) in the First Affiliated Hospital of Zhengzhou University and subjected the samples to 16S rRNA MiSeq sequencing and analysis. We set up a train set and a test set, identified the optimal microbial markers for epilepsy after characterizing the gut microbiome in the former and built a diagnostic model, then validated it in the validation group. Results: There were significant differences in microbial communities between the two groups. The α-diversity of the HCs was higher than that of the epilepsy group, but the Venn diagram showed that there were more unique operational taxonomic unit (OTU) in the epilepsy group. At the phylum level, Proteobacteria and Actinobacteriota increased significantly in Eps, while the relative abundance of Bacteroidota increased in HCs. Compared with HCs, Eps were enriched in 23 genera, including Faecalibacterium, Escherichia-Shigella, Subdoligranulum and Enterobacteriaceae-unclassified. In contrast, 59 genera including Bacteroides, Megamonas, Prevotella, Lachnospiraceae-unclassified and Blautia increased in the HCs. In Spearman correlation analysis, age, WBC, RBC, PLT, ALB, CREA, TBIL, Hb and Urea were positively correlated with most of the different OTUs. Seizure-type, course and frequency are negatively correlated with most of the different OTUs. In addition, twenty-two optimal microbial markers were identified by a fivefold cross-validation of the random forest model. In the established train set and test set, the area under the curve was 0.9771 and 0.993, respectively. Conclusion: Our study was the first to characterize the gut microbiome of Eps and HCs in central China and demonstrate the potential efficacy of microbial markers as a noninvasive biological diagnostic tool for epilepsy. Frontiers Media S.A. 2022-01-07 /pmc/articles/PMC8777111/ /pubmed/35069460 http://dx.doi.org/10.3389/fmicb.2021.696632 Text en Copyright © 2022 Cui, Liu, Liu, Chen, Wu, Lou, Wang, Zou, Sun, Rao, Ren, Lian and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Cui, Guangying Liu, Shanshuo Liu, Zhenguo Chen, Yuan Wu, Tianwen Lou, Jiamin Wang, Haiyu Zou, Yawen Sun, Ying Rao, Benchen Ren, Zhigang Lian, Yajun Jiang, Yan Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title | Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title_full | Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title_fullStr | Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title_full_unstemmed | Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title_short | Gut Microbiome Distinguishes Patients With Epilepsy From Healthy Individuals |
title_sort | gut microbiome distinguishes patients with epilepsy from healthy individuals |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777111/ https://www.ncbi.nlm.nih.gov/pubmed/35069460 http://dx.doi.org/10.3389/fmicb.2021.696632 |
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