| Literature DB >> 34195296 |
Mingxin Li1, Fang Wang2.
Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory disease that is immune mediated. Patients typically present with synovial inflammation, which gradually deteriorates to investigate severe cartilage and bone damage, affecting an individual's ability to perform basic tasks and impairing the quality of life. When evaluated against healthy controls, patients with RA have notable variations within the constituents of the gut microbiota. The human gastrointestinal tract mucosa is colonized by trillions of commensal microbacteria, which are key actors in the initiation, upkeep, and operation of the host immune system. Gut microbiota dysbiosis can adversely influence the immune system both locally and throughout the host, thus predisposing the host to a number of pathologies, including RA. Proximal intestinal immunomodulatory cells, situated in specific locales within the intestine, are a promising intermediary through which the gastrointestinal microbiota can influence the pathogenesis and progression of RA. In the early stages of the disease, the microbiota appear to differ from those present in healthy controls. This difference may reflect potential autoimmune mechanisms. Research studies evaluating intestinal microbiota have demonstrated that RA is associated with a bacterial population growth or with a decline when judged against control groups. The aim of this review is to examine the studies that connect intestinal dysbiosis with the autoimmune pathways implicated in the pathogenesis of RA.Entities:
Mesh:
Year: 2021 PMID: 34195296 PMCID: PMC8203374 DOI: 10.1155/2021/8167283
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Altered composition of the gut microbiota in humans with RA.
| Author (year) | Increased bacteria | Decreased bacteria | Technology | Reference |
|---|---|---|---|---|
| Alpizar-Rodriguez et al. (2019) |
| 16S rRNA sequencing | [ | |
| Chen et al. (2016) |
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| 16S ribosomal DNA | [ |
| Chiang et al. (2019) |
| 16S rRNA sequencing | [ | |
| Eerola et al. (1994) | Anaerobic bacteria: | Gas-liquid chromatography of bacterial CFAs | [ | |
| Kishikawa et al. (2019) |
| Whole-genome shotgun | [ | |
| Liu et al. (2013) |
| Quantitative real-time PCR | [ | |
| Lee et al. (2019) |
|
| 16S rRNA sequencing | [ |
| Muñiz Pedrogo et al. (2019) |
| Metagenomic shotgun sequencing | [ | |
| Maeda et al. (2016) |
|
| 16S rRNA sequencing | [ |
| Rodrigues et al. (2019) |
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| qPCR | [ |
| Shinebaum et al. (1987) |
| Estimation of bacterial counts in fecal culture | [ | |
| Sun et al. (2019) |
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| 16S rRNA sequencing | [ |
| Scher et al. (2013) |
|
| 16S rRNA sequencing | [ |
| Vaahtovuo et al. (2008) |
| Flow cytometry,16S rRNA hybridization, and DNA staining | [ | |
| Zhang et al. (2015) |
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| Metagenomic shotgun sequencing | [ |