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NK Cell Autoreactivity and Autoimmune Diseases

Overview of attention for article published in Frontiers in immunology, January 2014
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
NK Cell Autoreactivity and Autoimmune Diseases
Published in
Frontiers in immunology, January 2014
DOI 10.3389/fimmu.2014.00027
Pubmed ID
Authors

Alessandro Poggi, Maria Raffaella Zocchi

Abstract

Increasing evidences have pointed out the relevance of natural killer (NK) cells in organ-specific and systemic autoimmune diseases. NK cells bear a plethora of activating and inhibiting receptors that can play a role in regulating reactivity with autologous cells. The activating receptors recognize natural ligands up-regulated on virus-infected or stressed or neoplastic cells. Of note, several autoimmune diseases are thought to be linked to viral infections as one of the first event in inducing autoimmunity. Also, it is conceivable that autoimmunity can be triggered when a dysregulation of innate immunity occurs, activating T and B lymphocytes to react with self-components. This would imply that NK cells can play a regulatory role during adaptive immunity; indeed, innate lymphoid cells (ILCs), comprising the classical CD56(+) NK cells, have a role in maintaining or alternating tissue homeostasis secreting protective and/or pro-inflammatory cytokines. In addition, NK cells display activating receptors involved in natural cytotoxicity and the activating isoforms of receptors for HLA class I that can interact with healthy host cells and induce damage without any evidence of viral infection or neoplastic-induced alteration. In this context, the interrelationship among ILC, extracellular-matrix components, and mesenchymal stromal cells can be considered a key point for the control of homeostasis. Herein, we summarize evidences for a role of NK cells in autoimmune diseases and will give a point of view of the interplay between NK cells and self-cells in triggering autoimmunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
Colombia 1 <1%
Cyprus 1 <1%
Canada 1 <1%
Unknown 141 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 18%
Student > Ph. D. Student 25 17%
Student > Master 22 15%
Student > Bachelor 19 13%
Student > Doctoral Student 11 7%
Other 22 15%
Unknown 22 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 21%
Medicine and Dentistry 29 20%
Immunology and Microbiology 28 19%
Biochemistry, Genetics and Molecular Biology 18 12%
Nursing and Health Professions 2 1%
Other 13 9%
Unknown 26 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 February 2014.
All research outputs
#15,091,226
of 25,374,647 outputs
Outputs from Frontiers in immunology
#13,910
of 31,516 outputs
Outputs of similar age
#175,873
of 319,280 outputs
Outputs of similar age from Frontiers in immunology
#34
of 97 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.