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IL-33 reflects dynamics of disease activity in patients with autoimmune hemolytic anemia by regulating autoantibody production

Overview of attention for article published in Journal of Translational Medicine, December 2015
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Title
IL-33 reflects dynamics of disease activity in patients with autoimmune hemolytic anemia by regulating autoantibody production
Published in
Journal of Translational Medicine, December 2015
DOI 10.1186/s12967-015-0745-0
Pubmed ID
Authors

Xiangmao Bu, Tenglong Zhang, Chunhong Wang, Tao Ren, Zhenke Wen

Abstract

Autoimmune hemolytic anemia (AIHA), a life-threatening anemia with rapid onset, is caused by autoantibody directed to self red blood cells (RBCs). Currently, mechanisms underlying AIHA pathogenesis are largely undefined. Here we explored the correlation of IL-33 with AIHA disease activity and evaluated IL-33 based therapeutics in AIHA treatment. Thirty patients diagnosed with AIHA of warm-type autoantibodies without treatment were enrolled and followed up for 6 months. Levels of cytokines including IL-33, IL-4, IL-6 and IL-13 was determined with ELISA. AIHA disease activity was presented by levels of reticulocyte count, hemoglobin and lactate dehydrogenase. Serum RBC-bound IgG autoantibody was detected using anti-IgG antibody with flow cytometry. To evaluate the effect of IL-33 blockade on AIHA development, groups of B6 mice were immunized with rat RBCs plus recombinant IL-33 protein or IL-33 neutralizing antibody respectively and detected for levels of anti-RBC antibody, frequency of reticulocytes and destruction of transfused syngeneic mouse RBCs. Serum level of IL-33 was higher in AIHA patients compared with healthy individuals. Of interest, serum IL-33 was positively correlated with AIHA disease activity and sensitive to their changes in AIHA patients under clinical management. Mechanistically, IL-33 could promote the production of anti-RBC autoantibody. Serum IL-33 was closely associated with serum anti-RBC autoantibody and sensitive to their changes in AIHA patients. Accordingly, blockade of IL-33 interfered with AIHA incidence and ameliorated disease activity. Vice vasa, enforced IL-33 promoted AIHA incidence and disease activity. IL-33 was a potential biomarker for monitoring disease activity and therapeutic response in AIHA patients. Targeting IL-33 was a promising strategy for controlling autoantibody production in AIHA patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Student > Postgraduate 3 12%
Student > Bachelor 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Other 6 24%
Unknown 4 16%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Biochemistry, Genetics and Molecular Biology 3 12%
Immunology and Microbiology 3 12%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 3 12%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 September 2016.
All research outputs
#14,830,048
of 22,835,198 outputs
Outputs from Journal of Translational Medicine
#1,975
of 3,995 outputs
Outputs of similar age
#217,042
of 390,452 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 76 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 390,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.