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Gene Expression Control by Glucocorticoid Receptors during Innate Immune Responses

Overview of attention for article published in Frontiers in endocrinology, April 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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4 X users
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6 Wikipedia pages

Citations

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78 Dimensions

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170 Mendeley
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Title
Gene Expression Control by Glucocorticoid Receptors during Innate Immune Responses
Published in
Frontiers in endocrinology, April 2016
DOI 10.3389/fendo.2016.00031
Pubmed ID
Authors

Andre Machado Xavier, Aparecida Kataryna Olimpio Anunciato, Tatiana Rosado Rosenstock, Isaias Glezer

Abstract

Glucocorticoids (GCs) are potent anti-inflammatory compounds that have been extensively used in clinical practice for several decades. GC's effects on inflammation are generally mediated through GC receptors (GRs). Signal transduction through these nuclear receptors leads to dramatic changes in gene expression programs in different cell types, typically due to GR binding to DNA or to transcription modulators. During the last decade, the view of GCs as exclusive anti-inflammatory molecules has been challenged. GR negative interference in pro-inflammatory gene expression was a landmark in terms of molecular mechanisms that suppress immune activity. In fact, GR can induce varied inhibitory molecules, including a negative regulator of Toll-like receptors pathway, or subject key transcription factors, such as NF-κB and AP-1, to a repressor mechanism. In contrast, the expression of some acute-phase proteins and other players of innate immunity generally requires GR signaling. Consequently, GRs must operate context-dependent inhibitory, permissive, or stimulatory effects on host defense signaling triggered by pathogens or tissue damage. This review aims to disclose how contradictory or comparable effects on inflammatory gene expression can depend on pharmacological approach (including selective GC receptor modulators; SEGRMs), cell culture, animal treatment, or transgenic strategies used as models. Although the current view of GR-signaling integrated many advances in the field, some answers to important questions remain elusive.

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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 169 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Student > Master 25 15%
Student > Bachelor 22 13%
Researcher 20 12%
Student > Doctoral Student 14 8%
Other 15 9%
Unknown 36 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 25%
Agricultural and Biological Sciences 19 11%
Medicine and Dentistry 18 11%
Immunology and Microbiology 16 9%
Neuroscience 10 6%
Other 23 14%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 March 2024.
All research outputs
#6,583,609
of 25,806,080 outputs
Outputs from Frontiers in endocrinology
#1,805
of 13,284 outputs
Outputs of similar age
#86,005
of 314,388 outputs
Outputs of similar age from Frontiers in endocrinology
#7
of 33 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 86% 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 314,388 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 72% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.