Tonsillar Microbiome-Derived Lantibiotics Induce Structural Changes of IL-6 and IL-21 Receptors and Modulate Host Immunity.
Jing LiJiayang JinShenghui LiYan ZhongYuebo JinXuan ZhangBinbin XiaYinhua ZhuRuochun GuoXiaolin SunJianping GuoFanlei HuWenjing XiaoFei HuangHua YeRu LiYunshan ZhouXiaohong XiangHaihong YaoQiulong YanLi SuLijun WuTuoping LuoYudong LiuXiaohuan GuoJunjie QinHai QiJing HeJun WangZhanguo LiPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Emerging evidence emphasizes the functional impacts of host microbiome on the etiopathogenesis of autoimmune diseases, including rheumatoid arthritis (RA). However, there are limited mechanistic insights into the contribution of microbial biomolecules especially microbial peptides toward modulating immune homeostasis. Here, by mining the metagenomics data of tonsillar microbiome, a deficiency of the encoding genes of lantibiotic peptides salivaricins in RA patients is identified, which shows strong correlation with circulating immune cells. Evidence is provided that the salivaricins exert immunomodulatory effects in inhibiting T follicular helper (Tfh) cell differentiation and interleukin-21 (IL-21) production. Mechanically, salivaricins directly bind to and induce conformational changes of IL-6 and IL-21 receptors, thereby inhibiting the bindings of IL-6 and IL-21 to their receptors and suppressing the downstream signaling pathway. Finally, salivaricin administration exerts both prophylactic and therapeutic effects against experimental arthritis in a murine model of RA. Together, these results provide a mechanism link of microbial peptides-mediated immunomodulation.
Keyphrases
- rheumatoid arthritis
- signaling pathway
- microbial community
- end stage renal disease
- disease activity
- pi k akt
- ankylosing spondylitis
- chronic kidney disease
- dendritic cells
- ejection fraction
- interstitial lung disease
- dna methylation
- newly diagnosed
- genome wide
- regulatory t cells
- induced apoptosis
- oxidative stress
- peritoneal dialysis
- immune response
- amino acid
- systemic sclerosis
- prognostic factors
- big data
- artificial intelligence