ArticleMolecular biology reports2019
The early detection of asthma based on blood gene expression.
Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Methodological and applicability pitfalls of clinical prediction models for asthma diagnosis: a systematic review and critical appraisal of evidence.BMC medical research methodology · 2025Pooled it
- MyD88 mediates allergic airway inflammation by regulating ILC2s function through inducing the formation of P38/GATA3 complex.Respiratory research · 2026Article
- Copy Number Variation in Asthma: An Integrative Review.Clinical reviews in allergy & immunology · 2025Review
- Impact of CYP3A5 Polymorphisms on Pediatric Asthma Outcomes.International journal of molecular sciences · 2024Article
- Use of Electronic Nicotine Delivery Systems and Age of Asthma Onset Among US Adults and Youths.JAMA network open · 2024Article
- A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection.JMIR medical informatics · 2024Article
- Silencing lncRNA CDKN2B-AS1 Alleviates Childhood Asthma Progression Through Inhibiting ZFP36 Promoter Methylation and Promoting NR4A1 Expression.Inflammation · 2023Article
- Shegan Mahuang Decoction May Reduce Airway Inflammation in Neutrophilic Asthmatic Mice by Improving the Mitochondrial Function of Bronchoalveolar Lavage Fluid Exosomes.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Emerging Advances of Non-coding RNAs and Competitive Endogenous RNA Regulatory Networks in Asthma.Bioengineered · 2021Review
- The Functional Effects of Key Driver KRAS Mutations on Gene Expression in Lung Cancer.Frontiers in genetics · 2020Article
- Identification of Post-myocardial Infarction Blood Expression Signatures Using Multiple Feature Selection Strategies.Frontiers in physiology · 2020Article
- Investigation and Prediction of Human Interactome Based on Quantitative Features.Frontiers in bioengineering and biotechnology · 2020Article
- The Methylation Pattern for Knee and Hip Osteoarthritis.Frontiers in cell and developmental biology · 2020Article
- Multiple Feature Selection Strategies Identified Novel Cardiac Gene Expression Signature for Heart Failure.Frontiers in physiology · 2020Article
- Identifying Methylation Pattern and Genes Associated with Breast Cancer Subtypes.International journal of molecular sciences · 2019Article
- Identifying Microbiota Signature and Functional Rules Associated With Bacterial Subtypes in Human Intestine.Frontiers in genetics · 2019Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Asthma is a complex heterogeneous disorder with hereditary tendency and the most widely used therapy is inhalation of anti-inflammatory corticosteroids. But it has systemic side effects. If the chronic inflammation can be detected in early stage, the dosage of corticosteroids will be low and the side effects can be avoided. Therefore, to discover the early stage blood biomarkers for asthma, we analyzed the gene expression profiles in the blood of 77 moderate asthma patients and 87 healthy controls. With advanced feature selection methods, minimal Redundancy Maximal Relevance and Incremental Feature Selection, we identified 31 genes, such as MYD88, ZFP36, CCR3 and CYP3A5, as the optimal asthma biomarker. The sensitivity, specificity and accuracy of the 31-gene Support Vector Machine predictor evaluated with Leave-One-Out Cross Validation were 0.870, 0.816 and 0.841, respectively. Through literature survey, many biomarker genes have asthma associated functions. Our results not only provided the easy-to-apply blood gene expression biomarkers for early detection of asthma, but also an explainable qualitative model with biological significance.
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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.