Identification of Immunogenic Linear B-Cell Epitopes in C. burnetii Outer Membrane Proteins Using Immunoinformatics

Sílvia da Silva Fontes1, Fernanda de Moraes Maia1, Laura Santa'Anna Ataides1

  • 1Laboratory of Monoclonal Antibodies Technology, Immunobiological Technology Institute, FIOCRUZ, Rio de Janeiro 21040-900, Brazil.

Insights

This study identified immunogenic B-cell epitopes in Coxiella burnetii outer membrane proteins. These findings aid in developing new tools for Q fever surveillance in South America.

Area of Science:

  • Microbiology
  • Immunology
  • Computational Biology

Background:

  • Coxiella burnetii causes Q fever, a globally significant zoonosis with no current surveillance data in South America.
  • There is a critical need for cost-effective serological tools to monitor C. burnetii infections in humans and livestock.

Purpose of the Study:

  • To identify and validate specific linear B-cell epitopes in C. burnetii outer membrane proteins using immunoinformatics.
  • To assess the natural immunogenicity of these predicted epitopes in Q fever patients.

Main Methods:

  • Immunoinformatics and computational biology were used to predict B-cell epitopes in OMP-H, Com-1, and OMP-P1 proteins.
  • ELISA was employed to test synthetic peptides representing predicted epitopes against patient samples.
  • Indirect immunofluorescence assay was used for initial patient sample screening.

Main Results:

  • Two naturally immunogenic linear B-cell epitopes were identified in each of the three target proteins.
  • Antibodies against at least one identified epitope were present in 77% of the studied patients.
  • An intense humoral response to OMP-H and Com-1 epitopes correlated with a higher frequency of endocarditis cases.

Conclusions:

  • Immunoinformatics is an effective strategy for rapidly identifying B-cell epitopes.
  • The validated epitopes can contribute to the development of improved diagnostic and surveillance tools for Q fever.
  • This approach can accelerate the development of tools for neglected zoonotic diseases.