Evidence map›Paper›PMID 37916710›Full record

ArticleAllergy2024

Combining avidin with CD63 improves basophil activation test accuracy in classifying peanut allergy.

Nicolas Castaño, Kaiser Chua, Abhinav Kaushik, Sungu Kim, Seth C Cordts, Ceena D Nafarzadegan, Grady H Hofmann, Hana Seastedt, Jackson P Schuetz, Diane Dunham and 9 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Allergy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Can artificial intelligence (AI) replace oral food challenge?The Journal of allergy and clinical immunology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Nicolas CastañoDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0002-9244-3313
Kaiser ChuaDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0009-0009-1730-6149
Abhinav KaushikSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
Sungu KimDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0001-7446-1123
Seth C CordtsDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0003-3464-013X
Ceena D NafarzadeganSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0009-0002-1709-2207
Grady H HofmannDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0009-0001-7822-6865
Hana SeastedtSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
Jackson P SchuetzSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0000-0002-1053-2903
Diane DunhamSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
Ella S ParsonsSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0000-0002-9967-4173
Mindy TsaiDepartment of Pathology, Stanford University, Stanford, California, USA.ORCID 0000-0002-8421-4721
Shu CaoSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
Manisha DesaiSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
Sayantani B SindherSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.
R Sharon ChinthrajahSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0000-0003-2467-4256
Stephen J GalliSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0000-0001-5736-5340
Kari C NadeauSean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, California, USA.ORCID 0000-0002-2146-2955
Sindy K Y TangDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.ORCID 0000-0003-1465-2432
Stanford University · USHarvard University · USStanford Medicine · US

Funding

Tracking allergen specific T cells in multi-food allergyU19AI104209 · NIAID · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2013 to 2025
$17.3M
Probing basophil function in microfluidic systems for allergic disease diagnosisR21EB030643 · NIBIB · STANFORD UNIVERSITY · PI TANG, SINDY KAM-YAN · 2021 to 2023
$605k
An Integrated Micro-Basophil Activation Test for Rapid Food Allergy DiagnosticsR21AI149277 · NIAID · STANFORD UNIVERSITY · PI TANG, SINDY KAM-YAN · 2020 to 2021
$409k
NIAID NIH HHS R21 AI149277NIAID NIH HHS U19 AI104209NIBIB NIH HHS R21 EB030643NIH HHS R21AI149277NIH HHS R21EB030643NIH HHS U19AI104209
6 · The paper itself

Abstract

backgroundConventional basophil activation tests (BATs) measure basophil activation by the increased expression of CD63. Previously, fluorophore-labeled avidin, a positively-charged molecule, was found to bind to activated basophils, which tend to expose negatively charged granule constituents during degranulation. This study further compares avidin versus CD63 as basophil activation biomarkers in classifying peanut allergy.

methodsSeventy subjects with either a peanut allergy (N = 47), a food allergy other than peanut (N = 6), or no food allergy (N = 17) were evaluated. We conducted BATs in response to seven peanut extract (PE) concentrations (0.01-10,000 ng/mL) and four control conditions (no stimulant, anti-IgE, fMLP (N-formylmethionine-leucyl-phenylalanine), and anti-FcεRI). We measured avidin binding and CD63 expression on basophils with flow cytometry. We evaluated logistic regression and XGBoost models for peanut allergy classification and feature identification.

resultsAvidin binding was correlated with CD63 expression. Both markers discriminated between subjects with and without a peanut allergy. Although small by percentage, an avidin

conclusionsAvidin and CD63 are reliable BAT activation markers associated with degranulation. Their combination enhances the identification of activated basophils and improves the classification accuracy of peanut allergy.

Indexed as

Basophil Degranulation TestPeanut HypersensitivityArachisAvidinBasophilsFlow CytometryHumansImmunoglobulin ETetraspanin 30AvidinCD63 protein, humanImmunoglobulin ETetraspanin 30avidinbasophil activation testCD63classification modelpeanut allergy

Identifiers

PMID37916710
PMCPMC10842984
OpenAlexW4388232458

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.