ArticleClinical and translational science2010
Predicting intermediate phenotypes in asthma using bronchoalveolar lavage-derived cytokines.
Article in Clinical and translational science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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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.
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Who cites it
34 citing papers in PubMed, 68 citations in OpenAlex.
- Biomarker Profiles in Asthma With High vs Low Airway Reversibility and Poor Disease Control.Chest · 2015Trial
- Investigating Asthma Disparities in Hispanic Communities Using Machine Learning Algorithms on theHealthcare (Basel, Switzerland) · 2025Article
- Protein-Protein interactive networks identified in bronchoalveolar lavage of severe compared to nonsevere asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2024Article
- Review
- Current Insights on the Impact of Proteomics in Respiratory Allergies.International journal of molecular sciences · 2022Review
- Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm.Journal of personalized medicine · 2022Review
- Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.Journal of personalized medicine · 2021Review
- C1431T Variant of PPARγ Is Associated with Preeclampsia in Pregnant Women.Life (Basel, Switzerland) · 2021Article
- Response to Parenteral Triamcinolone in Severe Asthma: A Useful Induced Phenotype for Clinicians?American journal of respiratory and critical care medicine · 2021Article
- Dysregulated Metabolism in the Pathophysiology of Non-Allergic Obese Asthma.Journal of asthma and allergy · 2021Review
- Identification of Specific IgE Antibodies and Asthma Control Interaction and Association Using Cluster Analysis in a Bulgarian Asthmatic Children Cohort.Antibodies (Basel, Switzerland) · 2020Article
- Omics for the future in asthma.Seminars in immunopathology · 2020Review
- Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.BMC pregnancy and childbirth · 2018Article
- Airway and serum biochemical correlates of refractory neutrophilic asthma.The Journal of allergy and clinical immunology · 2017Article
- Asthma biomarkers in the age of biologics.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2017Review
- Asthma heterogeneity and severity.The World Allergy Organization journal · 2016Review
- Monitoring asthma in childhood.European respiratory review : an official journal of the European Respiratory Society · 2015Article
- Molecular classification of outcomes from dengue virus -3 infections.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2015Article
- Challenges and Current Efforts in the Development of Biomarkers for Chronic Inflammatory and Remodeling Conditions of the Lungs.Biomarker insights · 2015Review
- Identification of innate immune response endotypes in asthma: implications for personalized medicine.Current allergy and asthma reports · 2013Review
Corrections and comments
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Authors and funding
14 authors at 11 institutions in 2 countries.
Funding
Abstract
An important problem in realizing personalized medicine is the development of methods for identifying disease subtypes using quantitative proteomics. Recently we found that bronchoalveolar lavage (BAL) cytokine patterns contain information about dynamic lung responsiveness. In this study, we examined physiological data from 1,048 subjects enrolled in the US Severe Asthma Research Program (SARP) to identify four largely separable, quantitative intermediate phenotypes. Upper extremes in the study population were identified for eosinophil- or neutrophil-predominant inflammation, bronchodilation in response to albuterol treatment, or methacholine sensitivity. We evaluated four different statistical ("machine") learning methods to predict each intermediate phenotype using BAL A-cytokine measurements on a 76 subject subset. Comparison of these models using area under the ROC curve and overall classification accuracy indicated that logistic regression and multivariate adaptive regression splines produced the most accurate methods to predict intermediate asthma phenotypes. These robust classification methods will aid future translational studies in asthma targeted at specific intermediate phenotypes.
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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.