Evidence map›Paper›PMID 39170962›Full record

ReviewChinese medical journal pulmonary and critical care medicine2024

Omics approaches in asthma research: Challenges and opportunities.

Molin Yue, Shiyue Tao, Kristina Gaietto, Wei Chen

Abstract readReview
In one paragraph

Review in Chinese medical journal pulmonary and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Lp-PLA2-derived LysoPC drives dendritic cell immunogenic activation and Th17 inflammation in severe asthma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Molin YueDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15224, USA.
Shiyue TaoDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15224, USA.
Kristina GaiettoDivision of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA 15224, USA.
Wei ChenDepartment of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15224, USA.

Funding

Molecular Basis of Pediatric DiseaseK12HD052892 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TERENCE S. DERMODY · 2007 to 2026
$6.5M
NICHD NIH HHS K12 HD052892
6 · The paper itself

Abstract

Asthma, a chronic respiratory disease with a global prevalence of approximately 300 million individuals, presents a significant societal and economic burden. This multifaceted syndrome exhibits diverse clinical phenotypes and pathogenic endotypes influenced by various factors. The advent of omics technologies has revolutionized asthma research by delving into the molecular foundation of the disease to unravel its underlying mechanisms. Omics technologies are employed to systematically screen for potential biomarkers, encompassing genes, transcripts, methylation sites, proteins, and even the microbiome components. This review provides an insightful overview of omics applications in asthma research, with a special emphasis on genetics, transcriptomics, epigenomics, and the microbiome. We explore the cutting-edge methods, discoveries, challenges, and potential future directions in the realm of asthma omics research. By integrating multi-omics and non-omics data through advanced statistical techniques, we aspire to advance precision medicine in asthma, guiding diagnosis, risk assessment, and personalized treatment strategies for this heterogeneous condition.

Indexed as

AsthmaEpigenomicsGenomicsMetagenomicsMulti-omics integrationTranscriptomics

Identifiers

PMID39170962
PMCPMC11332849

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.