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Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome

BACKGROUND: Gut microbiota (GMB) alteration has been reported to influence the Alzheimer’s disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and...

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Autores principales: Xi, Jianxiong, Ding, Ding, Zhu, Huiwei, Wang, Ruru, Su, Feng, Wu, Wanqing, Xiao, Zhenxu, Liang, Xiaoniu, Zhao, Qianhua, Hong, Zhen, Fu, Hua, Xiao, Qianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361629/
https://www.ncbi.nlm.nih.gov/pubmed/34384375
http://dx.doi.org/10.1186/s12866-021-02286-z
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author Xi, Jianxiong
Ding, Ding
Zhu, Huiwei
Wang, Ruru
Su, Feng
Wu, Wanqing
Xiao, Zhenxu
Liang, Xiaoniu
Zhao, Qianhua
Hong, Zhen
Fu, Hua
Xiao, Qianyi
author_facet Xi, Jianxiong
Ding, Ding
Zhu, Huiwei
Wang, Ruru
Su, Feng
Wu, Wanqing
Xiao, Zhenxu
Liang, Xiaoniu
Zhao, Qianhua
Hong, Zhen
Fu, Hua
Xiao, Qianyi
author_sort Xi, Jianxiong
collection PubMed
description BACKGROUND: Gut microbiota (GMB) alteration has been reported to influence the Alzheimer’s disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and metabolome from 21 AD participants and 44 cognitively normal control participants were measured. Untargeted GMB taxa was analyzed through 16S ribosomal RNA gene profiling based on next-generation sequencing and fecal metabolites were quantified by using ultrahigh performance liquid chromatography-mass spectrometry (UPLC-MS). RESULTS: Our analysis revealed that AD was characterized by 15 altered gut bacterial genera, of which 46.7% (7/15 general) was significantly associated with a series of metabolite markers. The predicted metabolic profile of altered gut microbial composition included steroid hormone biosynthesis, N-Acyl amino acid metabolism and piperidine metabolism. Moreover, a combination of 2 gut bacterial genera (Faecalibacterium and Pseudomonas) and 4 metabolites (N-Docosahexaenoyl GABA, 19-Oxoandrost-4-ene-3,17-dione, Trigofoenoside F and 22-Angeloylbarringtogenol C) was able to discriminate AD from NC with AUC of 0.955 in these 65 subjects. CONCLUSIONS: These findings demonstrate that gut microbial alterations and related metabolic output changes may be associated with pathogenesis of AD, and suggest that fecal markers might be used as a non-invasive examination to assist screening and diagnosis of AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-021-02286-z.
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spelling pubmed-83616292021-08-16 Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome Xi, Jianxiong Ding, Ding Zhu, Huiwei Wang, Ruru Su, Feng Wu, Wanqing Xiao, Zhenxu Liang, Xiaoniu Zhao, Qianhua Hong, Zhen Fu, Hua Xiao, Qianyi BMC Microbiol Research Article BACKGROUND: Gut microbiota (GMB) alteration has been reported to influence the Alzheimer’s disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and metabolome from 21 AD participants and 44 cognitively normal control participants were measured. Untargeted GMB taxa was analyzed through 16S ribosomal RNA gene profiling based on next-generation sequencing and fecal metabolites were quantified by using ultrahigh performance liquid chromatography-mass spectrometry (UPLC-MS). RESULTS: Our analysis revealed that AD was characterized by 15 altered gut bacterial genera, of which 46.7% (7/15 general) was significantly associated with a series of metabolite markers. The predicted metabolic profile of altered gut microbial composition included steroid hormone biosynthesis, N-Acyl amino acid metabolism and piperidine metabolism. Moreover, a combination of 2 gut bacterial genera (Faecalibacterium and Pseudomonas) and 4 metabolites (N-Docosahexaenoyl GABA, 19-Oxoandrost-4-ene-3,17-dione, Trigofoenoside F and 22-Angeloylbarringtogenol C) was able to discriminate AD from NC with AUC of 0.955 in these 65 subjects. CONCLUSIONS: These findings demonstrate that gut microbial alterations and related metabolic output changes may be associated with pathogenesis of AD, and suggest that fecal markers might be used as a non-invasive examination to assist screening and diagnosis of AD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-021-02286-z. BioMed Central 2021-08-12 /pmc/articles/PMC8361629/ /pubmed/34384375 http://dx.doi.org/10.1186/s12866-021-02286-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Xi, Jianxiong
Ding, Ding
Zhu, Huiwei
Wang, Ruru
Su, Feng
Wu, Wanqing
Xiao, Zhenxu
Liang, Xiaoniu
Zhao, Qianhua
Hong, Zhen
Fu, Hua
Xiao, Qianyi
Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title_full Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title_fullStr Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title_full_unstemmed Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title_short Disturbed microbial ecology in Alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
title_sort disturbed microbial ecology in alzheimer’s disease: evidence from the gut microbiota and fecal metabolome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361629/
https://www.ncbi.nlm.nih.gov/pubmed/34384375
http://dx.doi.org/10.1186/s12866-021-02286-z
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