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Nucleic Acid Sensors and Type I Interferon Production in Systemic Lupus Erythematosus

Overview of attention for article published in Frontiers in immunology, January 2013
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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104 Mendeley
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Title
Nucleic Acid Sensors and Type I Interferon Production in Systemic Lupus Erythematosus
Published in
Frontiers in immunology, January 2013
DOI 10.3389/fimmu.2013.00319
Pubmed ID
Authors

Meena Shrivastav, Timothy B. Niewold

Abstract

The characteristic serologic feature of systemic lupus erythematosus (SLE) is autoantibodies against one's own nucleic acid or nucleic acid-binding proteins - DNA and RNA-binding nuclear proteins. Circulating autoantibodies can deposit in the tissue, causing inflammation and production of cytokines such as type 1 interferon (IFN). Investigations in human patients and animal models have implicated environmental as well as genetic factors in the biology of the SLE autoimmune response. Viral/Bacterial nucleic acid is a potent stimulant of innate immunity by both toll-like receptor (TLR) and non-TLR signaling cascades. Additionally, foreign DNA may act as an immunogen to drive an antigen-specific antibody response. Self nucleic acid is normally restricted to the nucleus or the mitochondria, away from the DNA/RNA sensors, and mechanisms exist to differentiate between foreign and self nucleic acid. In normal immunity, a diverse range of DNA and RNA sensors in different cell types form a dynamic and integrated molecular network to prevent viral infection. In SLE, pathologic activation of these sensors occurs via immune complexes consisting of autoantibodies bound to DNA or to nucleic acid-protein complexes. In this review, we will discuss recent studies outlining how mismanaged nucleic acid sensing networks promote autoimmunity and result in the over-production of type I IFN. This information is critical for improving therapeutic strategies for SLE disease.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Germany 2 2%
Unknown 100 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Ph. D. Student 23 22%
Student > Bachelor 10 10%
Student > Master 9 9%
Student > Postgraduate 6 6%
Other 18 17%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 24%
Medicine and Dentistry 23 22%
Immunology and Microbiology 17 16%
Biochemistry, Genetics and Molecular Biology 16 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 5%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 August 2015.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Frontiers in immunology
#10,111
of 31,513 outputs
Outputs of similar age
#84,495
of 288,986 outputs
Outputs of similar age from Frontiers in immunology
#107
of 503 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 31,513 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 66% 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 288,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.