Evidence map›Paper›PMID 29247716›Full record

ArticleThe Journal of allergy and clinical immunology2018

Airway exposure initiates peanut allergy by involving the IL-1 pathway and T follicular helper cells in mice.

Joseph J Dolence, Takao Kobayashi, Koji Iijima, James Krempski, Li Y Drake, Alexander L Dent, Hirohito Kita

Open access · greenAbstract read
In one paragraph

Article in The Journal of allergy and clinical immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

81 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
  2. Review
  3. The Role of the Indoor Exposome in Food Allergy Development.Current allergy and asthma reports · 2026
    Review
  4. An Exploratory Analysis of Transcriptional Responses to Peanut Exposure inInternational journal of molecular sciences · 2026
    Article
  5. Review
  6. Mouse Models of Food Allergies: Where Do They Take Us?Clinical reviews in allergy & immunology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Progressively differentiated TNature immunology · 2025
    Article
  16. Article
  17. Allergens in Atopic Dermatitis.Clinical reviews in allergy & immunology · 2025
    Review
  18. Review
  19. Article
  20. Dendritic cells in food allergy, treatment, and tolerance.The Journal of allergy and clinical immunology · 2024
    Review

21 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Joseph J DolenceDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn.
Takao KobayashiDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn.
Koji IijimaDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn.
James KrempskiDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn; Mayo Graduate School, Rochester, Minn.
Li Y DrakeDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn.
Alexander L DentDepartment of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, Ind.
Hirohito KitaDepartment of Medicine and Immunology, Mayo Clinic Rochester, Rochester, Minn. Electronic address: kita.hirohito@mayo.edu.
Mayo Clinic · USIndiana University School of Medicine

Funding

Mechanisms of Allergen-induced Type 2 ImmunityR37AI071106 · NIAID · MAYO CLINIC ROCHESTER · PI Hirohito Kita · 2018 to 2026
$5.2M
Alternaria and ribonucleases in Th2-type immunityR01AI071106 · NIAID · MAYO CLINIC ROCHESTER · PI KITA, HIROHITO · 2008 to 2017
$4.0M
PHD TRAINING PROGRAM IN BASIC IMMUNOLOGYT32AI007425 · NIAID · MAYO CLINIC ROCHESTER · PI SHAPIRO, VIRGINIA SMITH · 1995 to 2020
$3.6M
NIAID NIH HHS R01 AI071106NIAID NIH HHS R37 AI071106NIAID NIH HHS T32 AI007425
6 · The paper itself

Abstract

backgroundLittle is currently known regarding the immunologic mechanism(s) that initiate peanut allergy. Notably, peanut proteins have been detected in house dust, and their levels correlate with peanut allergy prevalence.

objectiveThis study aimed to develop a new mouse model for peanut allergy and to investigate the immunologic mechanisms involved in peanut allergen sensitization.

methodsTo mimic environmental exposure, naive mice were exposed to peanut flour by inhalation for up to 4 weeks. We then analyzed serum levels of IgE antibody and challenged mice with peanut proteins. Immunological mechanisms involved in sensitization were analyzed using cytokine reporter mice, an adoptive cell transfer model, and gene knockout mice.

resultsWhen exposed to peanut flour by inhalation, both BALB/c and C57BL/6 mice developed peanut allergy, as demonstrated by the presence of peanut-specific IgE antibodies and manifestation of acute anaphylaxis on challenge. A large number of follicular helper T (Tfh) cells were also detected in draining lymph nodes of allergic mice. These cells produced IL-4 and IL-21, and they more robustly promoted peanut-specific IgE production than T

conclusionsTfh cells play a key role in peanut allergy, and the IL-1 pathway is involved in the Tfh response to peanut allergen exposure.

Indexed as

Disease Models, AnimalAdministration, InhalationAllergensAnimalsArachisCytokinesFemaleImmunoglobulin ELungMice, Inbred BALB CMice, Inbred C57BLMice, TransgenicPeanut HypersensitivitySignal TransductionT-Lymphocytes, Helper-InducerAllergensCytokinesImmunoglobulin EallergyFollicular T cellsIgEIL-1IL-33IL-4peanut

Identifiers

PMID29247716
PMCPMC6002896
OpenAlexW2775311282

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.