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A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
Published on: April 28, 2019
Modelling original antigenic sin in dengue viral infection
Ryan Nikin-Beers1, Stanca M Ciupe1
1Department of Mathematics, Virginia Tech, Blacksburg, VA, USA.
Original antigenic sin, where T cells from a primary dengue infection worsen subsequent infections, is explored. Models show cross-reactive T cells are linked to severe dengue hemorrhagic fever, not milder dengue fever.
Area of Science:
- Immunology
- Virology
- Mathematical Modeling
Background:
- Dengue virus infections can lead to severe disease, particularly upon secondary infection with a different serotype.
- The phenomenon of original antigenic sin suggests pre-existing T cell responses may exacerbate heterologous infections.
- Understanding T cell cross-reactivity is crucial for explaining dengue disease severity variations.
Purpose of the Study:
- To develop and analyze in-host mathematical models of T cell responses during primary and secondary dengue virus infections.
- To investigate the role of T cell cross-reactivity in dengue disease enhancement.
- To determine the contribution of specific versus non-specific T cell responses in different dengue disease outcomes.
Main Methods:
- Development of in-host mathematical models simulating T cell dynamics.
- Inclusion of T cell cross-reactivity parameters to model heterologous infections.
- Model fitting and analysis using published patient data from dengue infections.
Main Results:
- Overall infected cell killing is comparable between dengue fever and dengue hemorrhagic fever following heterologous infections.
- Severe dengue hemorrhagic fever cases are predominantly driven by non-specific T cell responses.
- Milder dengue fever cases show a greater contribution from high-avidity, strain-specific T cell responses.
Conclusions:
- The study supports the hypothesis that cross-reactive T cell responses are primarily associated with severe heterologous dengue virus infections.
- Distinct T cell response profiles characterize severe (dengue hemorrhagic fever) versus milder (dengue fever) secondary infections.
- Mathematical modeling provides insights into the immunological mechanisms underlying dengue pathogenesis.
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