ReviewJournal of personalized medicine2022
Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm.
Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Plasma protein signatures of adult asthma.Allergy · 2024Pooled it
- AMPK-mediated modulation of JAK2/STAT3 signaling in asthma: a promising target for controlling airway inflammation and remodeling.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Sun Exposure and Asthma Prevalence in Spanish Schoolchildren and Adolescents in the Global Asthma Network (GAN) Phase I Study: A Semi-Individual Cross-Sectional Study.Journal of clinical medicine · 2026Article
- Proteomic and Transcriptomic Signatures of Poor Asthma Symptom Control in the U-BIOPRED Cohort.Allergy · 2026Article
- Review
- The evolution of scientific knowledge in childhood asthma over time.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Innate Immune System Biomarkers in Asthma in Older Age: A Mini Review.Archives of Iranian medicine · 2026Review
- Multi-omics integration reveals BPGM downregulation and potential plasma metabolite biomarkers for childhood asthma.Frontiers in pediatrics · 2026Article
- Potential Determinants of Progression from Cough-Variant Asthma to Classic Asthma in Children: Evidence, Mechanisms, and Clinical Research Gaps.Journal of asthma and allergy · 2026Review
- Next Decade Research in Asthma: Broad Omics-Based Exploration Versus Targeted Airway Epithelium Studies.Journal of clinical medicine · 2025Review
- Association of Childhood Asthma with the Concept of Exposomics: A Short Review.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Why Every Asthma Patient Tells a Different Story.Journal of clinical medicine · 2025Article
- Biomarker Discovery in Childhood Asthma: A Pilot Study of Serum Metabolite Analysis for IgE-Dependent Allergy.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Achieving remission in severe asthma.Chinese medical journal pulmonary and critical care medicine · 2025Review
- Advancements in Biologic Therapies for Pediatric Asthma: Emerging Therapies and Future Directions.Cureus · 2025Review
- Induced Sputum Transcriptomics Profile and Serum C3 are Associated with Asthma Severity.Journal of asthma and allergy · 2025Article
- Reconceptualizing and Defining Exposomics within Environmental Health: Expanding the Scope of Health Research.Environmental health perspectives · 2024Article
- The Relationship between Exposome and Microbiome.Microorganisms · 2024Review
- Endotypes of severe neutrophilic and eosinophilic asthma from multi-omics integration of U-BIOPRED sputum samples.Clinical and translational medicine · 2024Article
- Unraveling the Complexity of Asthma: Insights from Omics Approaches.Biomedicines · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Asthma is a complex multifactorial and heterogeneous respiratory disease. Although genetics is a strong risk factor of asthma, external and internal exposures and their interactions with genetic factors also play important roles in the pathophysiology of asthma. Over the past decades, the application of high-throughput omics approaches has emerged and been applied to the field of asthma research for screening biomarkers such as genes, transcript, proteins, and metabolites in an unbiased fashion. Leveraging large-scale studies representative of diverse population-based omics data and integrating with clinical data has led to better profiling of asthma risk. Yet, to date, no omic-driven endotypes have been translated into clinical practice and management of asthma. In this article, we provide an overview of the current status of omics studies of asthma, namely, genomics, transcriptomics, epigenomics, proteomics, exposomics, and metabolomics. The current development of the multi-omics integrations of asthma is also briefly discussed. Biomarker discovery following multi-omics profiling could be challenging but useful for better disease phenotyping and endotyping that can translate into advances in asthma management and clinical care, ultimately leading to successful precision medicine approaches.
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Registered trials
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.