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Danger signals in trauma

Overview of attention for article published in European Journal of Trauma and Emergency Surgery, May 2018
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Title
Danger signals in trauma
Published in
European Journal of Trauma and Emergency Surgery, May 2018
DOI 10.1007/s00068-018-0962-3
Pubmed ID
Authors

Borna Relja, Katharina Mörs, Ingo Marzi

Abstract

This review summarizes a short list of currently discussed trauma-induced danger-associated molecular patterns (DAMP). Due to the bivalent character and often pleiotropic effects of a DAMP, it is difficult to describe its "friend or foe" role in post-traumatic inflammation and regeneration, both systemically as well locally in tissues. DAMP can be used as biomarkers to indicate or monitor disease or injury severity, but also may serve as clinically applicable parameters for better indication and timing of surgery. Due to the inflammatory processes at the local tissue level or the systemic level, the precise role of DAMP is not always clear to define. While in vitro and experimental studies allow for the detection of these biomarkers at the different levels of an organism-cellular, tissue, circulation-this is not always easily transferable to the human setting. Increased knowledge exploring the dual role of DAMP after trauma, and concentrating on their nuclear functions, transcriptional targets, release mechanisms, cellular sources, multiple functions, their interactions and potential therapeutic targeting is warranted.

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Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 7 16%
Student > Doctoral Student 7 16%
Student > Ph. D. Student 5 11%
Researcher 3 7%
Student > Master 3 7%
Other 7 16%
Unknown 13 29%
Readers by discipline Count As %
Medicine and Dentistry 18 40%
Biochemistry, Genetics and Molecular Biology 5 11%
Chemical Engineering 2 4%
Immunology and Microbiology 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 15 33%