In Silico Design and Evaluation of TcGAPDH as a Vaccine Against Chagas Disease: A Reverse Vaccinology Approach
Veronica Nava-Cuamatzi, Ricardo Enrique Buendia-Corona, María Cristina González-Vázquez, Maria Lilia Cedillo-Ramirez, Alejandro Carabarin-Lima
TL;DR
This study explores TcGAPDH as a potential vaccine candidate for Chagas disease using computational methods to assess its immunogenic properties.
Contribution
The novel contribution is the in silico evaluation of TcGAPDH as a vaccine candidate using reverse vaccinology techniques.
Findings
TcGAPDH was found to induce a Th1-type immune response characterized by IFN-γ and IL-2.
Molecular docking and dynamics simulations showed favorable interactions between TcGAPDH and TLR2/TLR4 receptors.
The predicted immune response and stable interactions suggest TcGAPDH's potential as a vaccine candidate.
Abstract
Purpose The current treatment for Chagas disease, caused by Trypanosoma cruzi, presents significant limitations due to its variable efficacy depending on the stage of the disease and its associated adverse effects. This issue has driven research and the development of new therapeutic and preventive strategies, with a particular emphasis on vaccine design. Materials and methods In the present study, a bioinformatics approach was employed to evaluate T. cruzi glyceraldehyde-3-phosphate dehydrogenase (TcGAPDH) as a potential vaccine candidate by analysing its physicochemical and immunogenic properties. Results In this analysis, epitopes for B and T lymphocytes were predicted, and a predictive immune response determined that TcGAPDH has the capacity to induce a Th1-type response driven by IFN-γ and IL-2. Finally, molecular docking and dynamics simulation demonstrated favourable…
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Taxonomy
Topicsvaccines and immunoinformatics approaches · Trypanosoma species research and implications · Machine Learning in Bioinformatics