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IL-1 family cytokines and soluble receptors in systemic lupus erythematosus

Overview of attention for article published in Arthritis Research & Therapy, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

1 news outlet
1 tweeter


17 Dimensions

Readers on

28 Mendeley
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IL-1 family cytokines and soluble receptors in systemic lupus erythematosus
Published in
Arthritis Research & Therapy, February 2018
DOI 10.1186/s13075-018-1525-z
Pubmed ID

Paola Italiani, Maria Laura Manca, Francesca Angelotti, Daniela Melillo, Federico Pratesi, Ilaria Puxeddu, Diana Boraschi, Paola Migliorini


Dysregulated production of cytokines has a critical role in systemic lupus. The aim of this work is to identify, by a comprehensive analysis of IL-1 family cytokines and receptors in serum, correlation between cytokines/receptors' levels and the clinical and serological features of the disease. A full clinical evaluation was performed in 74 patients with systemic lupus erythematosus (SLE). C3, C4, anti-dsDNA and anti-C1q antibodies were measured. Cytokines of the IL-1 family (IL-1α, IL-1β, IL-33, IL-18), soluble receptors (sIL-1R1, sIL-1R2, sIL-1R3, ST2/sIL-1R4) and antagonists (IL-1Ra, IL-18 binding protein (IL-18BP)) were measured in serum by multiarray ELISA. Free IL-18 was calculated as the amount of IL-18 not inhibited by IL-18BP. Data were analysed by non-parametric tests and by multivariate analysis, using partial least squares (PLS) models. Total IL-18, IL-18BP, sIL-1R4 and IL-1Ra levels were higher in SLE vs. Total and free IL-18 and sIL-1R4 were higher in patients with active vs. inactive disease and correlated with ECLAM, anti-C1q and anti-dsDNA antibodies. sIL-1R2 was higher in patients with inactive disease, was negatively correlated with ECLAM and anti-C1q antibodies and was positively correlated with C3 levels. PLS identified sIL-1R4, sIL-1R2 and anti-dsDNA as variables distinguishing patients with active from those with inactive disease; sIL-1R4, IL-18BP and anti-dsDNA identified patients with active nephritis; sIL-1R4, C3, IL-18 and free IL-18 identified patients with haematological involvement. The data support the use of IL-18, sIL-1R2 and sIL-1R4 as biomarkers of disease activity and organ involvement, and suggest that failure in the inhibition of IL-1 activation may be a critical event in the active stages of SLE.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Bachelor 5 18%
Student > Master 4 14%
Researcher 3 11%
Professor 1 4%
Other 3 11%
Unknown 5 18%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Immunology and Microbiology 3 11%
Agricultural and Biological Sciences 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Other 4 14%
Unknown 6 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 31 May 2019.
All research outputs
of 15,149,790 outputs
Outputs from Arthritis Research & Therapy
of 2,384 outputs
Outputs of similar age
of 366,745 outputs
Outputs of similar age from Arthritis Research & Therapy
of 1 outputs
Altmetric has tracked 15,149,790 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,384 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 65% 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 366,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them