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An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection
Published on: December 10, 2013
Systemic cytokine response profiles associated with respiratory virus-induced acute otitis media
Janak A Patel1, Sangeeta Nair, James Grady
1Department of Pediatrics, University of Texas Medical Branch, Galveston, TX 77555-0371, USA.
Insights
Systemic cytokine patterns in children with acute otitis media (AOM) can predict viral cause and treatment outcomes. Granulocyte-colony stimulating factor (G-CSF) and IL-13 levels accurately identify RSV-induced AOM and early treatment failure, respectively.
Area of Science:
- Immunology
- Pediatrics
- Infectious Diseases
Background:
- Acute otitis media (AOM) involves complex host-pathogen interactions.
- Cytokines are crucial in AOM pathogenesis, but systemic responses are understudied.
Purpose of the Study:
- To investigate systemic cytokine profiles in children diagnosed with AOM.
- To correlate cytokine concentrations with viral etiology and clinical outcomes.
Main Methods:
- Serum samples from 145 children with AOM were analyzed for 17 cytokines.
- Unsupervised hierarchical clustering and decision tree classification were employed.
Main Results:
- Four distinct cytokine clusters were identified.
- Respiratory syncytial virus (RSV)-induced AOM showed higher levels of G-CSF, MCP-1, IL-10, IL-6, interferon-gamma, and IL-8.
- G-CSF predicted RSV-induced AOM with 87.6% accuracy; IL-13 predicted early treatment failure with 84.2% accuracy.
Conclusions:
- Systemic cytokine patterns in AOM are linked to viral cause and clinical course.
- G-CSF and IL-13 measurements offer potential for classifying RSV-AOM and predicting treatment failure.
Background:
Acute otitis media (AOM) results from a complex interplay between the infectious agents and host immune responses. Cytokines play a major role in the pathogenesis of AOM, but there are few studies on the systemic cytokine response during AOM.
Methods:
Sera were collected from 145 children (median age = 13.5 months) at the time of diagnosis of AOM. Concentrations of 17 cytokines (IL-1beta, -2, -4, -5, -6, -7, -8, -10, -12, -13, -17, granulocyte-colony stimulating factor (G-CSF), granulocyte-monocyte-colony stimulating factor, interferon-gamma, MCP-1, MIP-1beta, TNF-alpha) were determined and correlated with viral etiology and clinical outcome. The statistical analysis was conducted using bioinformatics software.
Results:
Cluster patterns of concentrations of cytokines were examined by unsupervised hierarchical clustering algorithms. Four major cluster groups were identified, one of the groups was significantly enriched for cases of respiratory syncytial virus (RSV)-induced AOM as compared with other viruses. Specifically, RSV-induced AOM had significantly higher concentrations of G-CSF, MCP-1, IL-10, IL-6, interferon-gamma, and IL-8 (P < 0.05). Using a decision tree classifier, higher G-CSF concentrations produced 87.6% accuracy to predict RSV-induced AOM. Overall, higher IL-13 concentrations produced 84.2% accuracy to predict early clinical failure of antibiotic treatment.
Conclusions:
Children with AOM have a unique pattern of systemic cytokine response that relates to virus etiology and clinical outcome. Based on G-CSF and IL-13 measurements, it is possible to accurately classify RSV-induced AOM and early treatment failure, respectively; these observations will need to be validated in an independent population.
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