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The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease

This study aimed to elucidate common and unique microbiome patterns in saliva, intestinal tissue biopsy, and stool samples from patients with Crohn’s disease (CD). Saliva, tissue, and stool samples from patients with CD were prospectively collected. Quantitative and phylogenetic analyses of 16s rRNA...

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Autores principales: Shin, Seung Yong, Kim, Sounkou, Choi, Ji Won, Kang, Sang-Bum, Kim, Tae Oh, Seo, Geom Seog, Cha, Jae Myung, Chun, Jaeyoung, Jung, Yunho, Im, Jong Pil, Bang, Ki Bae, Choi, Chang Hwan, Park, Soo-Kyung, Park, Dong Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320459/
https://www.ncbi.nlm.nih.gov/pubmed/35889187
http://dx.doi.org/10.3390/microorganisms10071467
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author Shin, Seung Yong
Kim, Sounkou
Choi, Ji Won
Kang, Sang-Bum
Kim, Tae Oh
Seo, Geom Seog
Cha, Jae Myung
Chun, Jaeyoung
Jung, Yunho
Im, Jong Pil
Bang, Ki Bae
Choi, Chang Hwan
Park, Soo-Kyung
Park, Dong Il
author_facet Shin, Seung Yong
Kim, Sounkou
Choi, Ji Won
Kang, Sang-Bum
Kim, Tae Oh
Seo, Geom Seog
Cha, Jae Myung
Chun, Jaeyoung
Jung, Yunho
Im, Jong Pil
Bang, Ki Bae
Choi, Chang Hwan
Park, Soo-Kyung
Park, Dong Il
author_sort Shin, Seung Yong
collection PubMed
description This study aimed to elucidate common and unique microbiome patterns in saliva, intestinal tissue biopsy, and stool samples from patients with Crohn’s disease (CD). Saliva, tissue, and stool samples from patients with CD were prospectively collected. Quantitative and phylogenetic analyses of 16s rRNA sequencing data were performed with bioinformatical pipelines. A total of 30 patients were enrolled in this study. The composition of major microbial taxa was similar between tissue and stool samples. A total of 11 of the 20 most abundant microbiota were found in both samples. The microbial community in saliva was significantly distinct from that in tissue and stool. The major species of microbiota and their composition also differed significantly from those of tissue and stool samples. However, Streptococcus and Prevotella are common genera in saliva, tissue, and stool microbiome. The abundance of Streptococcus, Pantoea, and Actinomyces from the saliva sample group were significantly different, varying with the location of the inflammation. Saliva has a distinct microbial community compared with tissues and stools in patients with CD. Prevotella and Streptococcus, which are commonly observed in saliva, stool, and tissue, can be considered a potential biomarker related to the diagnosis or prognosis of CD.
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spelling pubmed-93204592022-07-27 The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease Shin, Seung Yong Kim, Sounkou Choi, Ji Won Kang, Sang-Bum Kim, Tae Oh Seo, Geom Seog Cha, Jae Myung Chun, Jaeyoung Jung, Yunho Im, Jong Pil Bang, Ki Bae Choi, Chang Hwan Park, Soo-Kyung Park, Dong Il Microorganisms Article This study aimed to elucidate common and unique microbiome patterns in saliva, intestinal tissue biopsy, and stool samples from patients with Crohn’s disease (CD). Saliva, tissue, and stool samples from patients with CD were prospectively collected. Quantitative and phylogenetic analyses of 16s rRNA sequencing data were performed with bioinformatical pipelines. A total of 30 patients were enrolled in this study. The composition of major microbial taxa was similar between tissue and stool samples. A total of 11 of the 20 most abundant microbiota were found in both samples. The microbial community in saliva was significantly distinct from that in tissue and stool. The major species of microbiota and their composition also differed significantly from those of tissue and stool samples. However, Streptococcus and Prevotella are common genera in saliva, tissue, and stool microbiome. The abundance of Streptococcus, Pantoea, and Actinomyces from the saliva sample group were significantly different, varying with the location of the inflammation. Saliva has a distinct microbial community compared with tissues and stools in patients with CD. Prevotella and Streptococcus, which are commonly observed in saliva, stool, and tissue, can be considered a potential biomarker related to the diagnosis or prognosis of CD. MDPI 2022-07-20 /pmc/articles/PMC9320459/ /pubmed/35889187 http://dx.doi.org/10.3390/microorganisms10071467 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shin, Seung Yong
Kim, Sounkou
Choi, Ji Won
Kang, Sang-Bum
Kim, Tae Oh
Seo, Geom Seog
Cha, Jae Myung
Chun, Jaeyoung
Jung, Yunho
Im, Jong Pil
Bang, Ki Bae
Choi, Chang Hwan
Park, Soo-Kyung
Park, Dong Il
The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title_full The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title_fullStr The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title_full_unstemmed The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title_short The Common and Unique Pattern of Microbiome Profiles among Saliva, Tissue, and Stool Samples in Patients with Crohn’s Disease
title_sort common and unique pattern of microbiome profiles among saliva, tissue, and stool samples in patients with crohn’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320459/
https://www.ncbi.nlm.nih.gov/pubmed/35889187
http://dx.doi.org/10.3390/microorganisms10071467
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