Evidence map›Paper›PMID 31942640›Full record

ReviewSeminars in immunopathology2020

Omics for the future in asthma.

Mahmoud I Abdel-Aziz, Anne H Neerincx, Susanne J Vijverberg, Aletta D Kraneveld, Anke H Maitland-van der Zee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. The evolution of scientific knowledge in childhood asthma over time.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  6. Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. CDC167 exhibits potential as a biomarker for airway inflammation in asthma.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  15. Omics approaches in asthma research: Challenges and opportunities.Chinese medical journal pulmonary and critical care medicine · 2024
    Review
  16. Review
  17. Asthma Phenotypes in the Era of Personalized Medicine.Journal of clinical medicine · 2023
    Review
  18. Review
  19. Review
  20. 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

5 authors.

Mahmoud I Abdel-AzizDepartment of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, Netherlands.ORCID 0000-0001-9263-7137
Anne H NeerincxDepartment of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, Netherlands.ORCID 0000-0002-4533-486X
Susanne J VijverbergDepartment of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, Netherlands.ORCID 0000-0002-4579-4081
Aletta D KraneveldDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-9819-383X
Anke H Maitland-van der ZeeDepartment of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, Netherlands. a.h.maitland@amsterdamumc.nl.ORCID 0000-0002-0414-3442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a common, complex, multifaceted disease. It comprises multiple phenotypes, which might benefit from treatment with different types of innovative targeted therapies. Refining these phenotypes and understanding their underlying biological structure would help to apply precision medicine approaches. Using different omics methods, such as (epi)genomics, transcriptomics, proteomics, metabolomics, microbiomics, and exposomics, allowed to view and investigate asthma from diverse angles. Technological advancement led to a large increase in the application of omics studies in the asthma field. Although the use of omics technologies has reduced the gap between bench to bedside, several design and methodological challenges still need to be tackled before omics can be applied in asthma patient care. Collaborating under a centralized harmonized work frame (such as in consortia, under consistent methodologies) could help worldwide research teams to tackle these challenges. In this review, we discuss the transition of single biomarker research to multi-omics studies. In addition, we deliberate challenges such as the lack of standardization of sampling and analytical methodologies and validation of findings, which comes in between omics and personalized patient care. The future of omics in asthma is encouraging but not completely clear with some unanswered questions, which have not been adequately addressed before. Therefore, we highlight these questions and emphasize on the importance of fulfilling them.

Indexed as

AsthmaGenomicsMetabolomicsProteomicsHumansPrecision MedicineBiomarkersChallengesIntegrationOmicsPhenotypesPrecision medicine

Identifiers

What OpenQuestion holds

Textmetadata
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.