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Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers

Rheumatoid arthritis (RA) is an autoimmune disease described by joint destruction, synovitis and pannus formation. The gut microbiota acts as an environmental factor that plays an important role in RA, but little research regarding the etiopathogenic mechanisms of the microbiome in RA has been carri...

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Autores principales: Chen, Yumei, Ma, Chiyu, Liu, Lixiong, He, Jingquan, Zhu, Chengxin, Zheng, Fengping, Dai, Weier, Hong, Xiaoping, Liu, Dongzhou, Tang, Donge, Dai, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580343/
https://www.ncbi.nlm.nih.gov/pubmed/34670873
http://dx.doi.org/10.18632/aging.203641
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author Chen, Yumei
Ma, Chiyu
Liu, Lixiong
He, Jingquan
Zhu, Chengxin
Zheng, Fengping
Dai, Weier
Hong, Xiaoping
Liu, Dongzhou
Tang, Donge
Dai, Yong
author_facet Chen, Yumei
Ma, Chiyu
Liu, Lixiong
He, Jingquan
Zhu, Chengxin
Zheng, Fengping
Dai, Weier
Hong, Xiaoping
Liu, Dongzhou
Tang, Donge
Dai, Yong
author_sort Chen, Yumei
collection PubMed
description Rheumatoid arthritis (RA) is an autoimmune disease described by joint destruction, synovitis and pannus formation. The gut microbiota acts as an environmental factor that plays an important role in RA, but little research regarding the etiopathogenic mechanisms of the microbiome in RA has been carried out. We used an integrated approach of 16S rRNA gene sequencing and ultrahigh-performance liquid chromatography-mass spectrometry-based metabolomics to analyze the structure and diversity of the intestinal flora and metabolites of the gut microbiota in RA patients compared with healthy subjects. In this study, α-diversity analysis of the gut microbiota showed that there was no significant difference between the healthy control (HC) and RA groups. However, β-diversity analysis showed that there was a significant difference between the two groups. Further analysis of alteration of the gut microbiota revealed that at the phylum level, the relative abundance of p_Bacteroidetes was significantly decreased in the RA group, while that of Verrucomicrobia and Proteobacteria was significantly increased in the RA group. At the genus level, Bacteroides, Faecalibacterium and some probiotics were decreased in the RA group, while 97 genera, including Lactobacillus, Streptococcus and Akkermansia, were increased in the RA group. Seventy-four differentially abundant metabolites were identified between the HC and RA groups, and we identified two potential biomarkers (9,12-octadecadiynoic acid and 10Z-nonadecenoic acid) in RA.
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spelling pubmed-85803432021-11-15 Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers Chen, Yumei Ma, Chiyu Liu, Lixiong He, Jingquan Zhu, Chengxin Zheng, Fengping Dai, Weier Hong, Xiaoping Liu, Dongzhou Tang, Donge Dai, Yong Aging (Albany NY) Research Paper Rheumatoid arthritis (RA) is an autoimmune disease described by joint destruction, synovitis and pannus formation. The gut microbiota acts as an environmental factor that plays an important role in RA, but little research regarding the etiopathogenic mechanisms of the microbiome in RA has been carried out. We used an integrated approach of 16S rRNA gene sequencing and ultrahigh-performance liquid chromatography-mass spectrometry-based metabolomics to analyze the structure and diversity of the intestinal flora and metabolites of the gut microbiota in RA patients compared with healthy subjects. In this study, α-diversity analysis of the gut microbiota showed that there was no significant difference between the healthy control (HC) and RA groups. However, β-diversity analysis showed that there was a significant difference between the two groups. Further analysis of alteration of the gut microbiota revealed that at the phylum level, the relative abundance of p_Bacteroidetes was significantly decreased in the RA group, while that of Verrucomicrobia and Proteobacteria was significantly increased in the RA group. At the genus level, Bacteroides, Faecalibacterium and some probiotics were decreased in the RA group, while 97 genera, including Lactobacillus, Streptococcus and Akkermansia, were increased in the RA group. Seventy-four differentially abundant metabolites were identified between the HC and RA groups, and we identified two potential biomarkers (9,12-octadecadiynoic acid and 10Z-nonadecenoic acid) in RA. Impact Journals 2021-10-20 /pmc/articles/PMC8580343/ /pubmed/34670873 http://dx.doi.org/10.18632/aging.203641 Text en Copyright: © 2021 Chen et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Chen, Yumei
Ma, Chiyu
Liu, Lixiong
He, Jingquan
Zhu, Chengxin
Zheng, Fengping
Dai, Weier
Hong, Xiaoping
Liu, Dongzhou
Tang, Donge
Dai, Yong
Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title_full Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title_fullStr Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title_full_unstemmed Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title_short Analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
title_sort analysis of gut microbiota and metabolites in patients with rheumatoid arthritis and identification of potential biomarkers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580343/
https://www.ncbi.nlm.nih.gov/pubmed/34670873
http://dx.doi.org/10.18632/aging.203641
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