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Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee

Osteoarthritis (OA) is the most common joint disorder in the United States, and the gut microbiome has recently emerged as a potential etiologic factor in OA development. Recent studies have shown that a microbiome is present at joint synovia. Therefore, we aimed to characterize the intra-articular...

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Autores principales: Tsai, Joseph C., Casteneda, Grant, Lee, Abby, Dereschuk, Kypros, Li, Wei Tse, Chakladar, Jaideep, Lombardi, Alecio F., Ongkeko, Weg M., Chang, Eric Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697780/
https://www.ncbi.nlm.nih.gov/pubmed/33207573
http://dx.doi.org/10.3390/ijms21228618
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author Tsai, Joseph C.
Casteneda, Grant
Lee, Abby
Dereschuk, Kypros
Li, Wei Tse
Chakladar, Jaideep
Lombardi, Alecio F.
Ongkeko, Weg M.
Chang, Eric Y.
author_facet Tsai, Joseph C.
Casteneda, Grant
Lee, Abby
Dereschuk, Kypros
Li, Wei Tse
Chakladar, Jaideep
Lombardi, Alecio F.
Ongkeko, Weg M.
Chang, Eric Y.
author_sort Tsai, Joseph C.
collection PubMed
description Osteoarthritis (OA) is the most common joint disorder in the United States, and the gut microbiome has recently emerged as a potential etiologic factor in OA development. Recent studies have shown that a microbiome is present at joint synovia. Therefore, we aimed to characterize the intra-articular microbiome within osteoarthritic synovia and to illustrate its role in OA disease progression. RNA-sequencing data from OA patient synovial tissue was aligned to a library of microbial reference genomes to identify microbial reads indicative of microbial abundance. Microbial abundance data of OA and normal samples was compared to identify differentially abundant microbes. We computationally explored the correlation of differentially abundant microbes to immunological gene signatures, immune signaling pathways, and immune cell infiltration. We found that microbes correlated to OA are related to dysregulation of two main functional pathways: increased inflammation-induced extracellular matrix remodeling and decreased cell signaling pathways crucial for joint and immune function. We also confirmed that the differentially abundant and biologically relevant microbes we had identified were not contaminants. Collectively, our findings contribute to the understanding of the human microbiome, well-known OA risk factors, and the role microbes play in OA pathogenesis. In conclusion, we present previously undiscovered microbes implicated in the OA disease progression that may be useful for future treatment purposes.
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spelling pubmed-76977802020-11-29 Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee Tsai, Joseph C. Casteneda, Grant Lee, Abby Dereschuk, Kypros Li, Wei Tse Chakladar, Jaideep Lombardi, Alecio F. Ongkeko, Weg M. Chang, Eric Y. Int J Mol Sci Article Osteoarthritis (OA) is the most common joint disorder in the United States, and the gut microbiome has recently emerged as a potential etiologic factor in OA development. Recent studies have shown that a microbiome is present at joint synovia. Therefore, we aimed to characterize the intra-articular microbiome within osteoarthritic synovia and to illustrate its role in OA disease progression. RNA-sequencing data from OA patient synovial tissue was aligned to a library of microbial reference genomes to identify microbial reads indicative of microbial abundance. Microbial abundance data of OA and normal samples was compared to identify differentially abundant microbes. We computationally explored the correlation of differentially abundant microbes to immunological gene signatures, immune signaling pathways, and immune cell infiltration. We found that microbes correlated to OA are related to dysregulation of two main functional pathways: increased inflammation-induced extracellular matrix remodeling and decreased cell signaling pathways crucial for joint and immune function. We also confirmed that the differentially abundant and biologically relevant microbes we had identified were not contaminants. Collectively, our findings contribute to the understanding of the human microbiome, well-known OA risk factors, and the role microbes play in OA pathogenesis. In conclusion, we present previously undiscovered microbes implicated in the OA disease progression that may be useful for future treatment purposes. MDPI 2020-11-16 /pmc/articles/PMC7697780/ /pubmed/33207573 http://dx.doi.org/10.3390/ijms21228618 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tsai, Joseph C.
Casteneda, Grant
Lee, Abby
Dereschuk, Kypros
Li, Wei Tse
Chakladar, Jaideep
Lombardi, Alecio F.
Ongkeko, Weg M.
Chang, Eric Y.
Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title_full Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title_fullStr Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title_full_unstemmed Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title_short Identification and Characterization of the Intra-Articular Microbiome in the Osteoarthritic Knee
title_sort identification and characterization of the intra-articular microbiome in the osteoarthritic knee
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7697780/
https://www.ncbi.nlm.nih.gov/pubmed/33207573
http://dx.doi.org/10.3390/ijms21228618
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