Evidence map›Paper›PMID 33713771›Full record

ArticleThe Journal of allergy and clinical immunology2021

Endotype of allergic asthma with airway obstruction in urban children.

Matthew C Altman, Agustin Calatroni, Sima Ramratnam, Daniel J Jackson, Scott Presnell, Mario G Rosasco, Peter J Gergen, Leonard B Bacharier, George T O'Connor, Megan T Sandel and 5 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of allergy and clinical immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Trial
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Type 2 immune responses are associated with less severe COVID-19 in a hospitalized cohort.The journal of allergy and clinical immunology. Global · 2025
    Article
  8. Article
  9. Article
  10. Frequent exacerbator-a novel endotype of pediatric asthma.The Journal of allergy and clinical immunology · 2025
    Review
  11. Early-Life Allergen Exposure and Its Influence on Risk of Atopic Disease.The journal of allergy and clinical immunology. In practice · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Artificial intelligence in pediatric allergy research.European journal of pediatrics · 2024
    Review
  19. Review
  20. Relationships between lung function, allergy, and wheezing in urban children.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

15 authors at 9 institutions in 2 countries.

Matthew C AltmanImmunology Division, Benaroya Research Institute Systems, Seattle, Wash; Department of Medicine, University of Washington, Seattle, Wash. Electronic address: maltman@benaroyaresearch.org.
Agustin CalatroniRho Federal Systems Division, Inc, Durham, NC.
Sima RamratnamDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Daniel J JacksonDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Scott PresnellImmunology Division, Benaroya Research Institute Systems, Seattle, Wash.
Mario G RosascoImmunology Division, Benaroya Research Institute Systems, Seattle, Wash.
Peter J GergenNational Institute of Allergy and Infectious Diseases, Rockville, Md.
Leonard B BacharierDepartment of Pediatrics, Washington University School of Medicine and St Louis Children's Hospital, St Louis, Mo.
George T O'ConnorDepartment of Medicine, Boston University School of Medicine, Boston, Mass.
Megan T SandelDepartment of Medicine, Boston University School of Medicine, Boston, Mass.
Meyer KattanDepartment of Pediatrics, Columbia University Irving Medical Center, New York, NY.
Robert A WoodDepartment of Pediatrics, Johns Hopkins University Medical Center, Baltimore, Md.
Cynthia M VisnessRho Federal Systems Division, Inc, Durham, NC.
James E GernDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Inner City Asthma Consortium
University of Wisconsin–Madison · USBenaroya Research InstituteBoston University · USRho (United States) · USCGIAR · FRColumbia University Irving Medical Center · USJohns Hopkins University · USNational Institute of Allergy and Infectious Diseases · USSt. Louis Children's Hospital · US

Funding

Transplantation GroupUM2AI117870 · NIAID · RHO FEDERAL SYSTEMS DIVISION, INC. · PI DAVID, GLORIA · 2015 to 2023
$208.1M
Inner City Asthma consortium 3 (ICAC3)UM1AI114271 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI GERN, JAMES E., JACKSON, DANIEL J · 2014 to 2021
$79.4M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wisconsin Allergy Research Training (WISCART) ProgramT32AI007635 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern, DANIEL J JACKSON · 2000 to 2026
$6.5M
NCATS NIH HHS UL1 TR001079NIAID NIH HHS T32 AI007635NIAID NIH HHS UM1 AI114271NIAID NIH HHS UM2 AI117870
6 · The paper itself

Abstract

backgroundBlack and Hispanic children growing up in disadvantaged urban neighborhoods have the highest rates of asthma and related morbidity in the United States.

objectivesThis study sought to identify specific respiratory phenotypes of health and disease in this population, associations with early life exposures, and molecular patterns of gene expression in nasal epithelial cells that underlie clinical disease.

methodsThe study population consisted of 442 high-risk urban children who had repeated assessments of wheezing, allergen-specific IgE, and lung function through 10 years of age. Phenotypes were identified by developing temporal trajectories for these data, and then compared to early life exposures and patterns of nasal epithelial gene expression at 11 years of age.

resultsOf the 6 identified respiratory phenotypes, a high wheeze, high atopy, low lung function group had the greatest respiratory morbidity. In early life, this group had low exposure to common allergens and high exposure to ergosterol in house dust. While all high-atopy groups were associated with increased expression of a type-2 inflammation gene module in nasal epithelial samples, an epithelium IL-13 response module tracked closely with impaired lung function, and a MUC5AC hypersecretion module was uniquely upregulated in the high wheeze, high atopy, low lung function group. In contrast, a medium wheeze, low atopy group showed altered expression of modules of epithelial integrity, epithelial injury, and antioxidant pathways.

conclusionsIn the first decade of life, high-risk urban children develop distinct phenotypes of respiratory health versus disease that link early life environmental exposures to childhood allergic sensitization and asthma. Moreover, unique patterns of airway gene expression demonstrate how specific molecular pathways underlie distinct respiratory phenotypes, including allergic and nonallergic asthma.

Indexed as

Urban PopulationAge FactorsAirway ObstructionAllergensAsthmaChildChild, PreschoolEnvironmental ExposureHumansHypersensitivityImmunoglobulin EInfantInfant, NewbornMalePhenotypeSensitivity and SpecificityAllergensImmunoglobulin EChildhood asthmaendotypesenvironmental exposuresphenotypestranscriptomics

Identifiers

PMID33713771
PMCPMC8429519
OpenAlexW3136489502

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.