Back

Highly Accurate and Reproducible Diagnosis of Peanut Allergy Using Epitope Mapping

Kearney, P.; Getts, R.; Hayward, C.; Luta, D.; Porter, A.; Witmer, M.; du Toit, G.; Lack, G.; Chinthrajah, R. S.; Galli, S. J.; Nadeau, K.; Grishina, G.; Suarez-Farinas, M.; Suprun, M.; Sampson, H. A.

2020-06-20 allergy and immunology
10.1101/2020.06.19.20136002
Show abstract

BackgroundMisdiagnosis of peanut allergy is a significant clinical challenge. Here, a novel diagnostic blood-based test using a Bead-Based Epitope Assay ("peanut BBEA") has been developed on the LEAP cohort and then independently validated on the CoFAR2 and POISED cohorts. MethodsDevelopment of the peanut BBEA followed the National Academy of Medicines established guidelines with discovery performed on 133 subjects from the non-interventional arm of the LEAP trial and an independent validation performed on 81 subjects from the CoFAR2 study and 84 subjects from the POISED study. All subject samples were analyzed using the BBEA methodology. The peanut BBEA test measures levels of two Ara h 2 epitopes and compares their combination to a pre=specified threshold. If the combination of the two epitope levels is at or below the threshold, then the subject is ruled "Not Allergic", otherwise the subject is ruled "Allergic". All allergic diagnoses were OFC confirmed and subjects ages were 7-55 years. ResultsIn validation on the CoFAR2 and POISED cohorts, the peanut BBEA test had a combined sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio and accuracy of 91%, 95%, 95%, 91%, 18.2, 0.09 and 93%, respectively. ConclusionThe peanut BBEA test performance in validation demonstrated overall high accuracy and compared very favorably with existing diagnostic tests for peanut allergy including skin prick testing, peanut sIgE and peanut component testing.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Allergy
based on 13 papers
Top 0.1%
22.4%
2
Nature Communications
based on 483 papers
Top 9%
9.4%
3
Journal of Allergy and Clinical Immunology
based on 15 papers
Top 0.1%
8.6%
4
PLOS ONE
based on 1737 papers
Top 60%
7.3%
5
The Journal of Immunology
based on 19 papers
Top 0.1%
6.6%
50% of probability mass above
6
Journal of Clinical Microbiology
based on 77 papers
Top 2%
3.4%
7
Vaccine
based on 140 papers
Top 2%
3.2%
8
Scientific Reports
based on 701 papers
Top 56%
2.8%
9
Frontiers in Immunology
based on 140 papers
Top 3%
2.6%
10
Clinical Chemistry
based on 14 papers
Top 0.4%
2.0%
11
Clinical Immunology
based on 12 papers
Top 0.6%
1.8%
12
Cell Reports Medicine
based on 49 papers
Top 3%
1.8%
13
Chemical Senses
based on 11 papers
Top 0.4%
0.9%
14
Communications Medicine
based on 63 papers
Top 2%
0.9%
15
The Journal of Infectious Diseases
based on 137 papers
Top 9%
0.9%
16
Journal of Clinical Immunology
based on 11 papers
Top 0.5%
0.9%
17
Nature Immunology
based on 14 papers
Top 1%
0.8%
18
European Respiratory Journal
based on 44 papers
Top 6%
0.8%
19
Cell Genomics
based on 34 papers
Top 4%
0.8%
20
Arthritis & Rheumatology
based on 21 papers
Top 1%
0.8%
21
Communications Biology
based on 36 papers
Top 6%
0.5%
22
Frontiers in Medicine
based on 99 papers
Top 22%
0.5%
23
Transfusion
based on 14 papers
Top 0.9%
0.5%
24
Journal of Experimental Medicine
based on 10 papers
Top 1.0%
0.5%
25
eBioMedicine
based on 82 papers
Top 9%
0.5%
26
eLife
based on 262 papers
Top 36%
0.5%
27
Clinical Infectious Diseases
based on 219 papers
Top 23%
0.5%