| Autor: |
Kaja, Eriksson, Anna, Lundmark, Luis F, Delgado, Yue O O, Hu, Guozhong, Fei, Linkiat, Lee, Carina, Fei, Anca I, Catrina, Leif, Jansson, Anders F, Andersson, Tülay, Yucel-Lindberg |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Frontiers in cellular and infection microbiology. 12 |
| ISSN: |
2235-2988 |
| Popis: |
Periodontitis and rheumatoid arthritis (RA) are two widespread chronic inflammatory diseases with a previously suggested association. The objective of the current study was to compare the oral microbial composition and host´s inflammatory mediator profile of saliva samples obtained from subjects with periodontitis, with and without RA, as well as to predict biomarkers, of bacterial pathogens and/or inflammatory mediators, for classification of samples associated with periodontitis and RA.Salivary samples were obtained from 53 patients with periodontitis and RA and 48 non-RA with chronic periodontitis. The microbial composition was identified using 16S rRNA gene sequencing and compared across periodontitis patients with and without RA. Levels of inflammatory mediators were determined using a multiplex bead assay, compared between the groups and correlated to the microbial profile. The achieved data was analysed using PCoA, DESeq2 and two machine learning algorithms, OPLS-DA and sPLS-DA.Differential abundance DESeq2 analyses showed that the four most highly enriched (log2 FC20) amplicon sequence variants (ASVs) in the non-RA periodontitis group includedOur results suggest that the combination of microbes and host inflammatory mediators could be more efficient to be used as a predictable biomarker associated with periodontitis and RA, as compared to microbes and inflammatory mediators alone. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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