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The Expression of Nuclear Transcription Factor Kappa B (NF-κB) in the Case of Critically Ill Polytrauma Patients with Sepsis and Its Interactions with microRNAs

Overview of attention for article published in Biochemical Genetics, March 2016
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Title
The Expression of Nuclear Transcription Factor Kappa B (NF-κB) in the Case of Critically Ill Polytrauma Patients with Sepsis and Its Interactions with microRNAs
Published in
Biochemical Genetics, March 2016
DOI 10.1007/s10528-016-9727-z
Pubmed ID
Authors

Marius Papurica, Alexandru Florin Rogobete, Dorel Sandesc, Carmen Alina Cradigati, Mirela Sarandan, Dan Ciprian Crisan, Florin George Horhat, Ovidiu Boruga, Raluca Dumache, Kundnani Rajpal Nilima, Razvan Nitu, Horia Stanca, Ovidiu Horea Bedreag

Abstract

Critical polytrauma patients present a series of pathophysiological disturbances, biochemical and molecular dysfunction, which comprise to be the major cause of intensive care unit admission. In regard to molecular damage, there exists a series of factors, which all together contribute to the aggravation of the clinical status leading to increased mortality rate in these patients. One of the most important biochemical factors involved is the nuclear transcription factor B (NF-κB). Impaired NF-κB functioning is reflected on the clinical status of the patient through increased production of pro-inflammatory molecule, leading to multiple organ dysfunction syndrome. In addition to this, through microRNAs interactions, various pathophysiological as well as biochemical disturbances are produced, which altogether further reduce the patient's survival rate. In this paper, we would like to present the modifications seen in the expression of NF-κB in critically polytraumatized patients with sepsis. In additions to this, we would like to discuss the correlation between the microRNAs and its further implications in clinical status of these patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Ph. D. Student 3 13%
Other 2 9%
Professor > Associate Professor 2 9%
Lecturer > Senior Lecturer 1 4%
Other 4 17%
Unknown 7 30%
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Agricultural and Biological Sciences 3 13%
Neuroscience 1 4%
Unspecified 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from Biochemical Genetics
#367
of 474 outputs
Outputs of similar age
#254,419
of 300,114 outputs
Outputs of similar age from Biochemical Genetics
#5
of 8 outputs
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So far Altmetric has tracked 474 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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