ArticlePloS one2015
Data-driven asthma endotypes defined from blood biomarker and gene expression data.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 27 citations in OpenAlex.
- Clinical entities, phenotypes, causation, and endotypes based on selected asthma publications.Proceedings (Baylor University. Medical Center) · 2020Review
- Genome-wide analysis revealed sex-specific gene expression in asthmatics.Human molecular genetics · 2019Article
- Practical and Conceptual Considerations for the Primary Prevention of Asthma.Clinics in chest medicine · 2019Review
- Genomic Predictors of Asthma Phenotypes and Treatment Response.Frontiers in pediatrics · 2019Review
- Article
- Gene Coexpression Networks in Whole Blood Implicate Multiple Interrelated Molecular Pathways in Obesity in People with Asthma.Obesity (Silver Spring, Md.) · 2018Article
- Advancing our understanding of infant bronchiolitis through phenotyping and endotyping: clinical and molecular approaches.Expert review of respiratory medicine · 2016Review
- Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.Reproductive toxicology (Elmsford, N.Y.) · 2016Article
- Humoral immune factors and asthma among American Indian children: a case-control study.BMC pulmonary medicine · 2016Article
- Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.Journal of toxicology and environmental health. Part B, Critical reviews · 2016Review
- Biomarkers and severe asthma: a critical appraisal.Clinical and molecular allergy : CMA · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
The diagnosis and treatment of childhood asthma is complicated by its mechanistically distinct subtypes (endotypes) driven by genetic susceptibility and modulating environmental factors. Clinical biomarkers and blood gene expression were collected from a stratified, cross-sectional study of asthmatic and non-asthmatic children from Detroit, MI. This study describes four distinct asthma endotypes identified via a purely data-driven method. Our method was specifically designed to integrate blood gene expression and clinical biomarkers in a way that provides new mechanistic insights regarding the different asthma endotypes. For example, we describe metabolic syndrome-induced systemic inflammation as an associated factor in three of the four asthma endotypes. Context provided by the clinical biomarker data was essential in interpreting gene expression patterns and identifying putative endotypes, which emphasizes the importance of integrated approaches when studying complex disease etiologies. These synthesized patterns of gene expression and clinical markers from our research may lead to development of novel serum-based biomarker panels.
Indexed as
Identifiers
What OpenQuestion holds
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.