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IL-35 Is a Novel Responsive Anti-inflammatory Cytokine — A New System of Categorizing Anti-inflammatory Cytokines

Overview of attention for article published in PLOS ONE, March 2012
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Title
IL-35 Is a Novel Responsive Anti-inflammatory Cytokine — A New System of Categorizing Anti-inflammatory Cytokines
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033628
Pubmed ID
Authors

Xinyuan Li, Jietang Mai, Anthony Virtue, Ying Yin, Ren Gong, Xiaojin Sha, Stefanie Gutchigian, Andrew Frisch, Imani Hodge, Xiaohua Jiang, Hong Wang, Xiao-Feng Yang

Abstract

It remains unknown whether newly identified anti-inflammatory/immunosuppressive cytokine interleukin-35 (IL-35) is different from other anti-inflammatory cytokines such as IL-10 and transforming growth factor (TGF)-β in terms of inhibition of inflammation initiation and suppression of full-blown inflammation. Using experimental database mining and statistical analysis methods we developed, we examined the tissue expression profiles and regulatory mechanisms of IL-35 in comparison to other anti-inflammatory cytokines. Our results suggest that in contrast to TGF-β, IL-35 is not constitutively expressed in human tissues but it is inducible in response to inflammatory stimuli. We also provide structural evidence that AU-rich element (ARE) binding proteins and microRNAs target IL-35 subunit transcripts, by which IL-35 may achieve non-constitutive expression status. Furthermore, we propose a new system to categorize anti-inflammatory cytokines into two groups: (1) the house-keeping cytokines, such as TGF-β, inhibit the initiation of inflammation whereas (2) the responsive cytokines including IL-35 suppress inflammation in full-blown stage. Our in-depth analyses of molecular events that regulate the production of IL-35 as well as the new categorization system of anti-inflammatory cytokines are important for the design of new strategies of immune therapies.

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Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
Chile 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 18%
Student > Ph. D. Student 33 18%
Student > Master 29 16%
Student > Bachelor 19 10%
Student > Doctoral Student 12 7%
Other 31 17%
Unknown 26 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 24%
Medicine and Dentistry 33 18%
Immunology and Microbiology 30 16%
Biochemistry, Genetics and Molecular Biology 21 11%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Other 15 8%
Unknown 31 17%