Title |
An Endotoxin Tolerance Signature Predicts Sepsis and Organ Dysfunction at Initial Clinical Presentation
|
---|---|
Published in |
EBioMedicine, October 2014
|
DOI | 10.1016/j.ebiom.2014.10.003 |
Pubmed ID | |
Authors |
Olga M. Pena, David G. Hancock, Ngan H. Lyle, Adam Linder, James A. Russell, Jianguo Xia, Christopher D. Fjell, John H. Boyd, Robert E.W. Hancock |
Abstract |
Sepsis involves aberrant immune responses to infection, but the exact nature of this immune dysfunction remains poorly defined. Bacterial endotoxins like lipopolysaccharide (LPS) are potent inducers of inflammation, which has been associated with the pathophysiology of sepsis, but repeated exposure can also induce a suppressive effect known as endotoxin tolerance or cellular reprogramming. It has been proposed that endotoxin tolerance might be associated with the immunosuppressive state that was primarily observed during late-stage sepsis. However, this relationship remains poorly characterised. Here we clarify the underlying mechanisms and timing of immune dysfunction in sepsis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 3 | 23% |
United States | 2 | 15% |
United Kingdom | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 69% |
Science communicators (journalists, bloggers, editors) | 3 | 23% |
Scientists | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Turkey | 1 | <1% |
Australia | 1 | <1% |
Unknown | 126 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 27% |
Researcher | 18 | 14% |
Student > Master | 16 | 13% |
Student > Bachelor | 12 | 9% |
Student > Doctoral Student | 7 | 5% |
Other | 16 | 13% |
Unknown | 24 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 23% |
Agricultural and Biological Sciences | 25 | 20% |
Biochemistry, Genetics and Molecular Biology | 18 | 14% |
Immunology and Microbiology | 16 | 13% |
Computer Science | 3 | 2% |
Other | 8 | 6% |
Unknown | 29 | 23% |