↓ Skip to main content

Role of the IL-33-ST2 axis in sepsis

Overview of attention for article published in Military Medical Research, February 2017
Altmetric Badge

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
72 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Role of the IL-33-ST2 axis in sepsis
Published in
Military Medical Research, February 2017
DOI 10.1186/s40779-017-0115-8
Pubmed ID
Authors

Hui Xu, Heth R. Turnquist, Rosemary Hoffman, Timothy R. Billiar

Abstract

Sepsis remains a major clinical problem with high morbidity and mortality. As new inflammatory mediators are characterized, it is important to understand their roles in sepsis. Interleukin 33 (IL-33) is a recently described member of the IL-1 family that is widely expressed in cells of barrier tissues. Upon tissue damage, IL-33 is released as an alarmin and activates various types of cells of both the innate and adaptive immune system through binding to the ST2/IL-1 receptor accessory protein complex. IL-33 has apparent pleiotropic functions in many disease models, with its actions strongly shaped by the local microenvironment. Recent studies have established a role for the IL-33-ST2 axis in the initiation and perpetuation of inflammation during endotoxemia, but its roles in sepsis appear to be organism and model dependent. In this review, we focus on the recent advances in understanding the role of the IL-33/ST2 axis in sepsis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 8 11%
Researcher 7 10%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 11 15%
Unknown 24 33%
Readers by discipline Count As %
Medicine and Dentistry 18 25%
Immunology and Microbiology 12 17%
Biochemistry, Genetics and Molecular Biology 6 8%
Engineering 3 4%
Nursing and Health Professions 1 1%
Other 7 10%
Unknown 25 35%