ArticleJournal of biomedical informatics2011
How cytokines co-occur across asthma patients: from bipartite network analysis to a molecular-based classification.
Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 41 citations in OpenAlex.
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- The Pre-Adaptation of a Stroke-Specific Self-Management Program Among Older Adults.Journal of aging and health · 2023Article
- Subtyping Social Determinants of Health inmedRxiv : the preprint server for health sciences · 2023Article
- A Framework for Modeling and Interpreting Patient Subgroups Applied to Hospital Readmission: Visual Analytical Approach.JMIR medical informatics · 2022Article
- An Integrative Review of Cytokine/Chemokine Predictors of Neurodevelopment in Preterm Infants.Biological research for nursing · 2019Review
- Network topology dynamics of circulating biomarkers and cognitive performance in older Cytomegalovirus-seropositive or -seronegative men and women.Immunity & ageing : I & A · 2019Article
- The common γ-chain cytokine IL-7 promotes immunopathogenesis during fungal asthma.Mucosal immunology · 2018Article
- Methylation differences reveal heterogeneity in preterm pathophysiology: results from bipartite network analyses.Journal of perinatal medicine · 2018Review
- Review
- Bayesian modeling suggests that IL-12 (p40), IL-13 and MCP-1 drive murine cytokine networks in vivo.BMC systems biology · 2015Article
- Review
- How Comorbidities Co-Occur in Readmitted Hip Fracture Patients: From Bipartite Networks to Insights for Post-Discharge Planning.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- Heterogeneity within and across Pediatric Pulmonary Infections: From Bipartite Networks to At-Risk Subphenotypes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- Identification of innate immune response endotypes in asthma: implications for personalized medicine.Current allergy and asthma reports · 2013Review
- Elevated sputum interleukin-5 and submucosal eosinophilia in obese individuals with severe asthma.American journal of respiratory and critical care medicine · 2013Article
- The CTSA as an exemplar framework for developing multidisciplinary translational teams.Clinical and translational science · 2013Article
- How Cytokines Co-occur across Rickettsioses Patients: From Bipartite Visual Analytics to Mechanistic Inferences of a Cytokine Storm.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- Network analysis of unstructured EHR data for clinical research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013Article
- Strategies for molecular classification of asthma using bipartite network analysis of cytokine expression.Current allergy and asthma reports · 2012Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 1 country.
Funding
Abstract
Asthmatic patients are currently classified as either severe or non-severe based primarily on their response to glucocorticoids. However, because this classification is based on a post-hoc assessment of treatment response, it does not inform the rational staging of disease or therapy. Recent studies in other diseases suggest that a classification which includes molecular information could lead to more accurate diagnoses and prediction of treatment response. We therefore measured cytokine values in bronchoalveolar lavage (BAL) samples of the lower respiratory tract obtained from 83 asthma patients, and used bipartite network visualizations with associated quantitative measures to conduct an exploratory analysis of the co-occurrence of cytokines across patients. The analysis helped to identify three clusters of patients which had a complex but understandable interaction with three clusters of cytokines, leading to insights for a state-based classification of asthma patients. Furthermore, while the patient clusters were significantly different based on key pulmonary functions, they appeared to have no significant relationship to the current classification of asthma patients. These results suggest the need to define a molecular-based classification of asthma patients, which could improve the diagnosis and treatment of this disease.
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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.