Evidence map›Paper›PMID 36456584›Full record

ArticleScientific data2022

Mass cytometry analysis of blood from peanut-sensitized tolerant and clinically allergic infants.

Amanda R Tursi, Nicholas K Saba, Diane Dunham, Monali Manohar, Rachel L Peters, Richard Saffery, Jennifer J Koplin, Kari C Nadeau, Melanie R Neeland, Sandra Andorf

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. CytoBatchFlagR: A Comprehensive Framework to Objectively Assess High-Parameter Cytometry Data for Batch Effects.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026
    Article
  2. Article
  3. 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

10 authors at 3 institutions in 2 countries.

Amanda R Tursi *Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Nicholas K Saba *Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Diane DunhamSean N. Parker Center for Allergy & Asthma Research, Stanford University, Stanford, CA, USA.
Monali ManoharSean N. Parker Center for Allergy & Asthma Research, Stanford University, Stanford, CA, USA.
Rachel L PetersMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.
Richard SafferyMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.
Jennifer J KoplinMurdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia.
Kari C NadeauSean N. Parker Center for Allergy & Asthma Research, Stanford University, Stanford, CA, USA.
Melanie R Neeland *Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia. melanie.neeland@mcri.edu.au.
Sandra Andorf *Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. sandra.andorf@cchmc.org.ORCID 0000-0002-3093-2568
Royal Children's Hospital · AUCincinnati Children's Hospital Medical Center · USStanford University · US

Funding

Tracking allergen specific T cells in multi-food allergyU19AI104209 · NIAID · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2013 to 2025
$17.3M
T Cell Reagent Research for Monitoring T Cell in Food AllergyU01AI140498 · NIAID · STANFORD UNIVERSITY · PI NADEAU, KARI C. · 2018 to 2022
$1.8M
Effects of IgE Blockade on T Cells in Food AllergyR01AI140134 · NIAID · STANFORD UNIVERSITY · PI NADEAU, KARI C. · 2018 to 2021
$1.6M
Extension of clinical data structured into the ImmPort model and cross-study data exploration and visualization user interfaceUH2AI145837 · NIAID · STANFORD UNIVERSITY · PI ANDORF, SANDRA · 2019 to 2020
$434k
NIAID NIH HHS R01 AI140134NIAID NIH HHS U01 AI140498NIAID NIH HHS U19 AI104209NIAID NIH HHS UH2 AI145837U.S. Department of Health & Human Services | National Institutes of Health (NIH) 2U19AI104209U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5R01AI140134U.S. Department of Health & Human Services | National Institutes of Health (NIH) 5U01AI140498U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) UH2AI145837
6 · The paper itself

Abstract

IgE-mediated food allergies in infants are a significant health concern, with peanut allergy being of particular interest due to its prevalence and severity. Among individuals who produce peanut-specific IgE some experience no adverse reaction on peanut consumption. This asymptomatic phenotype is known as sensitized tolerance. To elucidate the immune environment of peanut sensitized tolerant and clinically allergic one-year-olds, high-dimensional mass cytometry was conducted as part of the HealthNuts study. The resulting data includes peripheral blood mononuclear cells from 36 participants encompassing non-allergic, peanut sensitized with tolerance, and clinically peanut allergic infants. The raw mass cytometry data is described here and freely available for reuse through the Immunology Database and Analysis Portal (ImmPort). Additional allergy information and serum vitamin D levels of the participants were measured and are also included in the data upload. These high-dimensional mass cytometry data, when combined with clinical information, offer a broad immune profile of peanut allergic and sensitized tolerant infants.

Indexed as

Peanut HypersensitivityArachisCytophotometryHumansImmunoglobulin EInfantLeukocytesLeukocytes, MononuclearImmunoglobulin E

Identifiers

PMID36456584
PMCPMC9715645
OpenAlexW4310945522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.