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 PMID:25888259  

Interleukin-17B Antagonizes Interleukin-25-Mediated Mucosal Inflammation.

Joseph M Reynolds | Young-Hee Lee | Yun Shi | Xiaohu Wang | Pornpimon Angkasekwinai | Kalyan C Nallaparaju | Stephanie Flaherty | Seon Hee Chang | Hiroshi Watarai | Chen Dong
Immunity | 2015

The interleukin-17 (IL-17) family of cytokines has emerged as a critical player in inflammatory diseases. Among them, IL-25 has been shown to be important inĀ allergic inflammation and protection against parasitic infection. Here we have demonstrated that IL-17B, a poorly understood cytokine, functions to inhibit IL-25-driven inflammation. IL-17B and IL-25, both binding to the interleukin-17 receptor B (IL-17RB), were upregulated in their expression after acute colonic inflammation. Individual inhibition of these cytokines revealed opposing functions in colon inflammation: IL-25 was pathogenic but IL-17B was protective. Similarly opposing phenotypes were observed in Citrobacter rodentium infection and allergic asthma. Moreover, IL-25 was found to promote IL-6 production from colon epithelial cells, which was inhibited by IL-17B. Therefore, our data demonstrate that IL-17B is an anti-inflammatory cytokine in the IL-17 family.

Pubmed ID: 25888259

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: 5 P50 CA142509 04
  • Agency: NIAMS NIH HHS, United States
    Id: R01 AR050772
  • Agency: NCI NIH HHS, United States
    Id: T32CA009598
  • Agency: NCI NIH HHS, United States
    Id: P50 CA142509
  • Agency: NCI NIH HHS, United States
    Id: T32 CA009598

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RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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