How cytokines co-occur across asthma patients: from bipartite network analysis to a molecular-based classification

Details

• Personal Author:
  Bellala G ; Bhavnani SK ; Bleecker E ; Brasier AR ; Busse WW ; Calhoun WJ ; Castro M ; Ju H ; Oezguen N ; Pillai R ; Victor S
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Adrenal Cortex Hormones Asthma Asthma, Occupational Diagnosis Drug Therapy Histocytochemistry Lung Occupational Health Respiratory System Respiratory Tract Diseases Safety Software

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• Keywords:
  Airway-obstruction Alveolar-cells Analytical-instruments Author Keywords: Network Analysis Bronchial-asthma Co-occurrence Of Cytokines Computer-models Corticoids Cytochemistry Diagnostic-techniques Drug-therapy Humans Lung-cells Lung-function Medical-treatment Molecular-based Classification Of Asthma Patients Molecular-biology Pharmacodynamics Pulmonary-function Respiratory-system-disorders Treatment

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• ISSN:
  1532-0464
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Michigan ; Missouri ; North Carolina ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 6 ; OSHA Region 7 ; Texas ; Wisconsin
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  44
• NIOSHTIC Number:
  nn:20040767
• Citation:
  J Biomed Inform 2011 Dec; 44(Suppl 1):S24-S30
• Contact Point Address:
  Suresh K. Bhavnani, Institute for Translational Sciences, University of Texas Medical Branch, 301 University Blvd., Galveston, TX 77555-0331, USA
• Email:
  skbhavnani@gmail.com
• Federal Fiscal Year:
  2012
• NORA Priority Area:
  Services
• Performing Organization:
  University of Texas Medical Branch, Galveston
• Peer Reviewed:
  True
• Start Date:
  20100901
• Source Full Name:
  Journal of Biomedical Informatics
• Supplement:
  1
• End Date:
  20130831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:87892aae6d4de22a7cc31e94653196c41c4c66070b6317137f26c99034c9c6fb9dfaea7f88afec9e091f6e6205ba2a91174ef34a4260ffe062044377ee2807a1
• Download URL:
  https://stacks.cdc.gov/view/cdc/193519/cdc_193519_DS1.pdf
• File Type:
  [PDF - 713.22 KB ]