Evidence map›Paper›PMID 25468194›Full record

ReviewThe Journal of allergy and clinical immunology2015

Systems biology of asthma and allergic diseases: a multiscale approach.

Supinda Bunyavanich, Eric E Schadt

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of allergy and clinical immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
7.6field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. A molecular systems architecture of asthma.Frontiers in immunology · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Guideline
  6. Trial
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. The association of infant urinary adrenal steroids with the risk of childhood asthma development.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2024
    Article
  13. Article
  14. Article
  15. The future of food allergy diagnosis.Frontiers in allergy · 2024
    Review
  16. Epigenomic and epigenetic investigations of food allergy.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
    Review
  17. Review
  18. Article
  19. The SunBEAm birth cohort: Protocol design.The journal of allergy and clinical immunology. Global · 2023
    Article
  20. Advancing Exposomic Research in Prenatal Respiratory Disease Programming.Immunology and allergy clinics of North America · 2023
    Review

3 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

2 authors at 1 institution in 1 country.

Supinda BunyavanichDepartment of Genetics and Genomic Sciences and the Icahn Institute for Genomics and Multiscale Biology, New York, NY; Division of Pediatric Allergy and Immunology, Department of Pediatrics, and the Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: supinda@post.harvard.edu.
Eric E SchadtDepartment of Genetics and Genomic Sciences and the Icahn Institute for Genomics and Multiscale Biology, New York, NY.
Child Health and Development Institute · US

Funding

The Genetics and Genomics of Allergic RhinitisK08AI093538 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BUNYAVANICH, SUPINDA · 2011 to 2015
$663k
NIAID NIH HHS K08 AI093538
6 · The paper itself

Abstract

Systems biology is an approach to understanding living systems that focuses on modeling diverse types of high-dimensional interactions to develop a more comprehensive understanding of complex phenotypes manifested by the system. High-throughput molecular, cellular, and physiologic profiling of populations is coupled with bioinformatic and computational techniques to identify new functional roles for genes, regulatory elements, and metabolites in the context of the molecular networks that define biological processes associated with system physiology. Given the complexity and heterogeneity of asthma and allergic diseases, a systems biology approach is attractive, as it has the potential to model the myriad connections and interdependencies between genetic predisposition, environmental perturbations, regulatory intermediaries, and molecular sequelae that ultimately lead to diverse disease phenotypes and treatment responses across individuals. The increasing availability of high-throughput technologies has enabled system-wide profiling of the genome, transcriptome, epigenome, microbiome, and metabolome, providing fodder for systems biology approaches to examine asthma and allergy at a more holistic level. In this article we review the technologies and approaches for system-wide profiling, as well as their more recent applications to asthma and allergy. We discuss approaches for integrating multiscale data through network analyses and provide perspective on how individually captured health profiles will contribute to more accurate systems biology views of asthma and allergy.

Indexed as

HypersensitivitySystems BiologyAnimalsGenomeHumansMetabolomeMicrobiotaTranscriptomeallergyasthmaatopicbig dataepigenomegenomeindividual health profilemetabolomemicrobiomenetworkSystems biologytranscriptome

Identifiers

PMID25468194
PMCPMC4289105
OpenAlexW1966278742

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.