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An activating NLRC4 inflammasome mutation causes autoinflammation with recurrent macrophage activation syndrome

Overview of attention for article published in Nature Genetics, September 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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371 Mendeley
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Article details
Title
An activating NLRC4 inflammasome mutation causes autoinflammation with recurrent macrophage activation syndrome
Published in
Nature Genetics, September 2014
DOI 10.1038/ng.3089
Pubmed ID
Authors
Abstract

Inflammasomes are innate immune sensors that respond to pathogen- and damage-associated signals with caspase-1 activation, interleukin (IL)-1β and IL-18 secretion, and macrophage pyroptosis. The discovery that dominant gain-of-function mutations in NLRP3 cause the cryopyrin-associated periodic syndromes (CAPS) and trigger spontaneous inflammasome activation and IL-1β oversecretion led to successful treatment with IL-1-blocking agents. Herein we report a de novo missense mutation (c.1009A > T, encoding p.Thr337Ser) affecting the nucleotide-binding domain of the inflammasome component NLRC4 that causes early-onset recurrent fever flares and macrophage activation syndrome (MAS). Functional analyses demonstrated spontaneous inflammasome formation and production of the inflammasome-dependent cytokines IL-1β and IL-18, with the latter exceeding the levels seen in CAPS. The NLRC4 mutation caused constitutive caspase-1 cleavage in cells transduced with mutant NLRC4 and increased production of IL-18 in both patient-derived and mutant NLRC4-transduced macrophages. Thus, we describe a new monoallelic inflammasome defect that expands the monogenic autoinflammatory disease spectrum to include MAS and suggests new targets for therapy.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Japan 1 <1%
Spain 1 <1%
Germany 1 <1%
Brazil 1 <1%
Australia 1 <1%
Unknown 364 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 72 19%
Researcher 54 15%
Student > Master 41 11%
Student > Doctoral Student 25 7%
Student > Bachelor 25 7%
Other 67 18%
Unknown 87 23%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 89 24%
Agricultural and Biological Sciences 63 17%
Immunology and Microbiology 53 14%
Biochemistry, Genetics and Molecular Biology 40 11%
Computer Science 4 1%
Other 21 6%
Unknown 101 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 15 July 2026.
All research outputs
#1,420,272
of 34,205,147 outputs
Outputs from Nature Genetics
#2,223
of 8,749 outputs
Outputs of similar age
#12,343
of 290,006 outputs
Outputs of similar age from Nature Genetics
#35
of 77 outputs
Altmetric has tracked 34,205,147 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,749 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.3. This one has gotten more attention than average, scoring higher than 74% 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 290,006 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 77 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 54% of its contemporaries.