Comment on: ‘Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population’ by Kishikawa et al

Autor: Hiroshi Shionoya, R. Fukai, Chiyuki Abe, Takaki Waritani, Kou Katayama, Suguru Suzuki, Hisashi Baba, Hiromitsu Takemori, Shinichi Uda, Kuniaki Terato, Keita Nishimura, Kaori Kitamura
Rok vydání: 2020
Předmět:
Zdroj: Annals of the Rheumatic Diseases. 81:e71-e71
ISSN: 1468-2060
0003-4967
Popis: The recent paper from Kishikawa et al 1 provides an extremely important new insight on the concept of oral-gut microbiome axis and rheumatoid arthritis (RA) pathogenesis. Alterations in the gut microbiome at mucosal sites have been implicated in the pathogenesis of RA.2–4 Increasing evidence suggests a link between RA and periodontal infections caused by Porphyromonas gingivalis (Pg) .5 Oral infection by Pg in an animal model revealed increased serum levels of lipopolysaccharide (LPS), dysbiosis and aggravation of arthritis.6 7 Therefore, the pathogenesis of RA is considered to be associated with the immunomodulatory activity of oral and gut microbiome.8 However, few studies have explored the relationship between the oral-gut microbiome axis and RA pathogenesis. We previously investigated the relationship between RA disease activity using activity indices and biomarkers; the total bacterial counts and the counts of five well-known gut bacteria species; LPS-related biomarkers and IgG and IgA anti- Pg -LPS antibodies in 87 patients with established RA showing inadequate responses to conventional synthetic disease-modifying antirheumatic drugs or exhibiting severe complications.9 (online supplementary table 1)### Supplementary data [annrheumdis-2020-217808supp001.pdf] Little significant relationship was observed between the counts of the total bacteria, five species of bacteria and activity indices and biomarkers.(table 1) The levels of LPS-related biomarkers, particularly serum LPS-binding protein (LBP), were positively correlated with activity indices and biomarkers, suggesting …
Databáze: OpenAIRE