Evidence map›Paper›PMID 32888527›Full record

ReviewThe journal of allergy and clinical immunology. In practice2020

Emerging Food Allergy Biomarkers.

Sarita U Patil, Supinda Bunyavanich, M Cecilia Berin

Open access · greenAbstract readReview
In one paragraph

Review in The journal of allergy and clinical immunology. In practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  11. Mechanisms of oral immunotherapy.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021
    Review
  12. Review
  13. Biomarkers in oral immunotherapy.Journal of Zhejiang University. Science. B
    Review
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

3 authors at 2 institutions in 1 country.

Sarita U PatilFood Allergy Center, Department of Pediatrics, Massachusetts General Hospital, Boston, Mass; Center for Immunological and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass. Electronic address: sarita.patil@mgh.harvard.edu.
Supinda BunyavanichDepartment of Pediatrics, Jaffe Food Allergy Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY; Jaffe Food Allergy Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
M Cecilia BerinJaffe Food Allergy Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
Icahn School of Medicine at Mount Sinai · USMassachusetts General Hospital · US

Funding

Threshold, Severity, and Immunotherapy of Peanut AllergyU19AI136053 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUNYAVANICH, SUPINDA · 2018 to 2023
$9.1M
Nasal biomarkers of asthmaR01AI118833 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUNYAVANICH, SUPINDA · 2015 to 2019
$3.8M
Gut Microbiome Dynamics in Peanut AllergyR01AI147028 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUNYAVANICH, SUPINDA · 2019 to 2022
$3.3M
Structural and functional characterization of protective antibodies induced in peanut oral immunotherapyR01AI155630 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Sarita U Patil · 2021 to 2026
$3.1M
Humoral mechanisms of tolerance in peanut oral immunotherapyK23AI121491 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI PATIL, SARITA U · 2016 to 2020
$975k
NIAID NIH HHS K23 AI121491NIAID NIH HHS R01 AI118833NIAID NIH HHS R01 AI147028NIAID NIH HHS R01 AI155630NIAID NIH HHS U19 AI136053
6 · The paper itself

Abstract

The management of food allergy is complicated by the lack of highly predictive biomarkers for diagnosis and prediction of disease course. The measurement of food-specific IgE is a useful tool together with clinical history but is an imprecise predictor of clinical reactivity. The gold standard for diagnosis and clinical research is a double-blind placebo-controlled food challenge. Improvement in our understanding of immune mechanisms of disease, development of high-throughput technologies, and advances in bioinformatics have yielded a number of promising new biomarkers of food allergy. In this review, we will discuss advances in immunoglobulin measurements, the utility of the basophil activation test, T-cell profiling, and the use of -omic technologies (transcriptome, epigenome, microbiome, and metabolome) as biomarker tools in food allergy.

Indexed as

Food HypersensitivityAllergensBasophilsBiomarkersHumansImmunoglobulin ERandomized Controlled Trials as TopicSkin TestsAllergensBiomarkersImmunoglobulin EBasophil activation testBiomarkerComponentsDouble-blind placebo-controlled food challenge (DBPCFC)EpigenomeEpitopesMetabolomeMicrobiomeT-cell receptor repertoireTranscriptome

Identifiers

PMID32888527
PMCPMC7479640
OpenAlexW3082743277

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.