Hernandez-Mejia G, Hernandez-Vargas EA. Uncovering antibody cross-reaction dynamics in influenza A infections. Bioinformatics. 2020;btaa691
Motivation: Influenza viruses are a cause of large outbreaks and pandemics with high death tolls. A key obstacle is that flu vaccines have inconsistent performance, in the best cases up to 60% effectiveness, but it can be as low as 10%. Uncovering the hidden pathways of how antibodies (Abs) induced by one influenza strain are effective against another, cross-reaction, is a central vexation for the design of universal flu vaccines.
Results: We conceive a stochastic model that successfully represents the antibody cross-reactive data from mice infected with H3N2 influenza strains and further validation with cross-reaction data of H1N1 strains. Using a High-Performance Computing (HPC) cluster, several aspects and parameters in the model were tested. Computational simulations highlight that changes in time of infection and the B-cells population are relevant, however, the affinity threshold of B-cells between consecutive infections is a necessary condition for the successful Abs cross-reaction. Our results suggest a 3-D reformulation of the current influenza antibody landscape for the representation and modeling of cross-reactive data.
Availability: The full code as a testing/simulation platform is freely available here: https://github.com/systemsmedicine/Antibody_cross-reaction_dynamics.
Results: We conceive a stochastic model that successfully represents the antibody cross-reactive data from mice infected with H3N2 influenza strains and further validation with cross-reaction data of H1N1 strains. Using a High-Performance Computing (HPC) cluster, several aspects and parameters in the model were tested. Computational simulations highlight that changes in time of infection and the B-cells population are relevant, however, the affinity threshold of B-cells between consecutive infections is a necessary condition for the successful Abs cross-reaction. Our results suggest a 3-D reformulation of the current influenza antibody landscape for the representation and modeling of cross-reactive data.
Availability: The full code as a testing/simulation platform is freely available here: https://github.com/systemsmedicine/Antibody_cross-reaction_dynamics.
See Also:
Latest articles in those days:
- Cross-species spill-over potential of the H9N2 bat influenza A virus 1 hours ago
- Bat-borne H9N2 influenza virus evades MxA restriction and exhibits efficient replication and transmission in ferrets 1 hours ago
- Epidemiological characteristics of human infections with avian influenza A(H5N6) virus, China and Laos: A multiple case descriptive analysis, February 2014-June 2023 18 hours ago
- Interim Estimates of 2023-2024 Seasonal Influenza Vaccine Effectiveness Among Adults in Korea 1 days ago
- Abundant Intra-Subtype Reassortment Revealed in H13N8 Influenza Viruses 2 days ago
[Go Top] [Close Window]