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The Use of Biomarkers to Predict Aero-Allergen and Food Immunotherapy Responses

Overview of attention for article published in Clinical Reviews in Allergy & Immunology, February 2018
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 patents

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67 Mendeley
Title
The Use of Biomarkers to Predict Aero-Allergen and Food Immunotherapy Responses
Published in
Clinical Reviews in Allergy & Immunology, February 2018
DOI 10.1007/s12016-018-8678-z
Pubmed ID
Authors

Sayantani B. Sindher, Andrew Long, Swati Acharya, Vanitha Sampath, Kari C. Nadeau

Abstract

The incidence of allergic conditions has continued to rise over the past several decades, with a growing body of research dedicated toward the treatment of such conditions. By driving a complex range of changes in the underlying immune response, immunotherapy is the only therapy that modulates the immune system with long-term effects and is presently utilized for the treatment of several atopic conditions. Recent efforts have focused on identifying biomarkers associated with these changes that may be of use in predicting patients with the highest likelihood of positive clinical outcomes during allergen immunotherapy (AIT), providing guidance regarding AIT discontinuation, and predicting symptomatic relapse and the need for booster AIT after therapy. The identification of such biomarkers in food allergy has the additional benefit of replacing oral food challenges, which are presently the gold standard for diagnosing food allergies. While several markers have shown early promise, research has yet to identify a marker that can invariably predict clinical response to AIT. Skin prick testing (SPT) and specific IgE have commonly been used as inclusion criteria for the initiation of AIT and prediction of reactions during subsequent allergen challenge; however, existing data suggests that changes in these markers are not always associated with clinical improvement and can be widely variable, reducing their utility in predicting clinical response. Similar findings have been described for the use of allergen-specific functional IgG4 antibodies, basophil activation and histamine release, and type 2 innate lymphoid cells. There appears to be a promising association between changes in the expression of dendritic cell-associated markers, as well as the use of DNA promoter region methylation patterns in the prediction of allergy status following therapy. The cellular and molecular changes brought about by immunotherapy are still under investigation, but major strides in our understanding are being made.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Student > Postgraduate 4 6%
Other 10 15%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Immunology and Microbiology 10 15%
Biochemistry, Genetics and Molecular Biology 9 13%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 3 4%
Other 6 9%
Unknown 23 34%
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 20 October 2022.
All research outputs
#6,860,107
of 23,975,976 outputs
Outputs from Clinical Reviews in Allergy & Immunology
#275
of 690 outputs
Outputs of similar age
#116,998
of 334,087 outputs
Outputs of similar age from Clinical Reviews in Allergy & Immunology
#8
of 16 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 57% 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 334,087 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 64% of its contemporaries.
We're also able to compare this research output to 16 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 50% of its contemporaries.