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Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis

Gut microbiome (GMB) disturbance can induce chronic low-grade inflammation, which is closely related to the occurrence and development of osteoarthritis (OA). However, the relationship between GMB and OA remains unclear. In this study, we collected stool samples from OA patients and healthy people,...

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Autores principales: Liu, Su, Li, Guoqing, Zhu, Yuanchao, Xu, Chang, Yang, Qi, Xiong, Ao, Weng, Jian, Yu, Fei, Zeng, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732244/
https://www.ncbi.nlm.nih.gov/pubmed/36504782
http://dx.doi.org/10.3389/fmicb.2022.980591
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author Liu, Su
Li, Guoqing
Zhu, Yuanchao
Xu, Chang
Yang, Qi
Xiong, Ao
Weng, Jian
Yu, Fei
Zeng, Hui
author_facet Liu, Su
Li, Guoqing
Zhu, Yuanchao
Xu, Chang
Yang, Qi
Xiong, Ao
Weng, Jian
Yu, Fei
Zeng, Hui
author_sort Liu, Su
collection PubMed
description Gut microbiome (GMB) disturbance can induce chronic low-grade inflammation, which is closely related to the occurrence and development of osteoarthritis (OA). However, the relationship between GMB and OA remains unclear. In this study, we collected stool samples from OA patients and healthy people, and performed Alpha diversity, Beta diversity, MetaStat, and LEfSe analysis by 16S rRNA sequencing to find out the species with significant difference between the two groups. Random forest analysis was performed to find out biomarkers that could distinguish between OA patients and healthy people. PICRUSt and Bugbase analysis were used to compare the difference in functions and phenotypes. Multivariate linear regression analysis (MaAsLin) was used to adjust for gender, age, and body mass index (BMI). The results showed that there was a significant difference in the overall composition of GMB between the two groups (p = 0.005). After adjusting for gender, age, and BMI, we found that p_Bacteroidota (Q = 0.039), c_Bacteroidia (Q = 0.039), and o_Bacteroidales (Q = 0.040) were enriched in the OA group, while s_Prevotella_copri (Q = 0.001) was enriched in the healthy control group. Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). The functions of DNA transcription, amino acid metabolism (including histidine, lysine, and isoleucine), ATP metabolism, and phospholipid metabolism significantly decreased, while glucose metabolism, protein acetylation, and aspartate kinase activity significantly increased in the OA group. In terms of phenotypes, we found that the relative abundance of aerobic (p = 0.003) and Gram-negative (p < 0.001) was higher in the OA group, while contains mobile elements (p = 0.001) and Gram-positive (p < 0.001) were higher in the healthy control group. Our study preliminarily demonstrated that there were differences in the composition, function, and phenotype of GMB in stool samples between OA patients and healthy people, which provided a novel perspective on further study in OA.
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spelling pubmed-97322442022-12-10 Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis Liu, Su Li, Guoqing Zhu, Yuanchao Xu, Chang Yang, Qi Xiong, Ao Weng, Jian Yu, Fei Zeng, Hui Front Microbiol Microbiology Gut microbiome (GMB) disturbance can induce chronic low-grade inflammation, which is closely related to the occurrence and development of osteoarthritis (OA). However, the relationship between GMB and OA remains unclear. In this study, we collected stool samples from OA patients and healthy people, and performed Alpha diversity, Beta diversity, MetaStat, and LEfSe analysis by 16S rRNA sequencing to find out the species with significant difference between the two groups. Random forest analysis was performed to find out biomarkers that could distinguish between OA patients and healthy people. PICRUSt and Bugbase analysis were used to compare the difference in functions and phenotypes. Multivariate linear regression analysis (MaAsLin) was used to adjust for gender, age, and body mass index (BMI). The results showed that there was a significant difference in the overall composition of GMB between the two groups (p = 0.005). After adjusting for gender, age, and BMI, we found that p_Bacteroidota (Q = 0.039), c_Bacteroidia (Q = 0.039), and o_Bacteroidales (Q = 0.040) were enriched in the OA group, while s_Prevotella_copri (Q = 0.001) was enriched in the healthy control group. Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). The functions of DNA transcription, amino acid metabolism (including histidine, lysine, and isoleucine), ATP metabolism, and phospholipid metabolism significantly decreased, while glucose metabolism, protein acetylation, and aspartate kinase activity significantly increased in the OA group. In terms of phenotypes, we found that the relative abundance of aerobic (p = 0.003) and Gram-negative (p < 0.001) was higher in the OA group, while contains mobile elements (p = 0.001) and Gram-positive (p < 0.001) were higher in the healthy control group. Our study preliminarily demonstrated that there were differences in the composition, function, and phenotype of GMB in stool samples between OA patients and healthy people, which provided a novel perspective on further study in OA. Frontiers Media S.A. 2022-11-25 /pmc/articles/PMC9732244/ /pubmed/36504782 http://dx.doi.org/10.3389/fmicb.2022.980591 Text en Copyright © 2022 Liu, Li, Zhu, Xu, Yang, Xiong, Weng, Yu and Zeng. 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
Liu, Su
Li, Guoqing
Zhu, Yuanchao
Xu, Chang
Yang, Qi
Xiong, Ao
Weng, Jian
Yu, Fei
Zeng, Hui
Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title_full Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title_fullStr Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title_full_unstemmed Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title_short Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
title_sort analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732244/
https://www.ncbi.nlm.nih.gov/pubmed/36504782
http://dx.doi.org/10.3389/fmicb.2022.980591
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