Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Asthma phenotyping, therapy, and prevention: what can we learn from systems biology?

Pediatric research - 1 Apr 2013

Sittka Alexandra, Vera Julio, Lai Xin, Schmeck Bernd T

Abstract excerpt

Asthma has a high prevalence worldwide, and contributes significantly to the socioeconomic burden. According to a classical paradigm, asthma symptoms are attributable to an allergic, Th2-driven airway inflammation that causes airway hyperresponsiveness and results in reversible airway obstruction. Diagnosis and therapy are based mainly on these pathophysiologic concepts. However, these have increasingly been...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Asthma
Share to Biostatistics
Share to Interleukin-13

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Interleukin-5

Share to Models, Theoretical

Share to RNA Editing

Share to Systems Biology

Share to Th2 Cells

Source

Identifiers

PMID: 23314293
DOI: 10.1038/pr.2013.8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Asthma phenotyping, therapy, and prevention: what can we learn from systems biology?PMID 23314293Read ↗

The Role of Systems Biology in Deciphering Asthma HeterogeneitySemantic proximity Read ↗

The use of pharmacogenomics, epigenomics, and transcriptomics to improve childhood asthma management: Where do we stand?Semantic proximity Read ↗

How variability in clinical phenotypes should guide research into disease mechanisms in asthma.Semantic proximity Read ↗

Introduction to asthma and phenotyping.Semantic proximity Read ↗

Treatable Mechanisms in Asthma.Semantic proximity Read ↗

Integrative systems biology approaches in asthma pharmacogenomics.Semantic proximity Read ↗

The understanding of asthma pathogenesis in the era of precision medicine.Semantic proximity Read ↗

Towards precision medicine: The application of omics technologies in asthma managementSemantic proximity Read ↗

Advances in asthma: New understandings of asthma's natural history, risk factors, underlying mechanisms, and clinical management.Semantic proximity Read ↗

Moving from the Oslerian paradigm to the post-genomic era: are asthma and COPD outdated terms?Semantic proximity Read ↗

Unraveling heterogeneity and treatment of asthma through integrating multi-omics dataSemantic proximity Read ↗

Linking childhood allergic asthma phenotypes with endotype through integrated systems biology: current evidence and research needs.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.