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Danger signals from mitochondrial DAMPS in trauma and post-injury sepsis

Overview of attention for article published in European Journal of Trauma and Emergency Surgery, May 2018
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Title
Danger signals from mitochondrial DAMPS in trauma and post-injury sepsis
Published in
European Journal of Trauma and Emergency Surgery, May 2018
DOI 10.1007/s00068-018-0963-2
Pubmed ID
Authors

C. J. Hauser, L. E. Otterbein

Abstract

In all multicellular organisms, immediate host responses to both sterile and infective threat are initiated by very primitive systems now grouped together under the general term 'danger responses'. Danger signals are generated when primitive 'pattern recognition receptors' (PRR) encounter activating 'alarmins'. These molecular species may be of pathogenic infective origin (pathogen-associated molecular patterns) or of sterile endogenous origin (danger-associated molecular patterns). There are many sterile and infective alarmins and there is considerable overlap in their ability to activate PRR, but in all cases the end result is inflammation. It is the overlap between sterile and infective signals acting via a relatively limited number of PRR that generally underlies the great clinical similarity we see between sterile and infective systemic inflammatory responses. Mitochondria (MT) are evolutionarily derived from bacteria, and thus they sit at the crossroads between sterile and infective danger signal pathways. Many of the molecular species in mitochondria are alarmins, and so the release of MT from injured cells results in a wide variety of inflammatory events. This paper discusses the known participation of MT in inflammation and reviews what is known about how the major.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Bachelor 6 15%
Student > Master 4 10%
Student > Ph. D. Student 3 8%
Other 3 8%
Other 5 13%
Unknown 13 33%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Biochemistry, Genetics and Molecular Biology 7 18%
Agricultural and Biological Sciences 3 8%
Immunology and Microbiology 3 8%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 11 28%