Molecular Mimicry Between Toxoplasma gondii B-Cell Epitopes and Human Antigens Related to Schizophrenia: An In Silico Approach

  • Juan F. Cano
  • , Maria Andrea Bernal-Valencia
  • , Pablo Vargas-Acevedo
  • , Germán Mejía-Salgado
  • , Andrés Sánchez
  • , Oscar Correa-Jiménez
  • , Marlon Múnera
  • , Alejandra de-la-Torre

Research output: Contribution to JournalResearch Articlepeer-review

Abstract

Schizophrenia is a complex disorder influenced by genetic, neurobiological, and environmental factors, with increasing evidence implicating immune dysregulation. This study examined potential molecular mimicry between autoantigens associated with schizophrenia and proteins from Toxoplasma gondii, a parasite previously linked to the disorder. Amino acid sequences of schizophrenia-related autoantigens were retrieved from databases (AAgAtlas, PubMed), and homologous sequences were searched within the T. gondii proteome. Sequence identity was evaluated, and conserved B-cell epitopes were predicted using three-dimensional structures from the Protein Data Bank or models generated in Swiss-Model, followed by epitope mapping with ElliPro. Five autoantigens—gamma-enolase (ENO2), thyroid peroxidase (TPO), glutamic acid decarboxylase 65 kDa isoform (GAD65), serine/threonine-protein kinase 2 (VRK2), and dihydropyrimidine dehydrogenase [NADP(+)] (DPYD)—showed similarities with T. gondii proteins. Among them, enolase exhibited the highest homology, with identities up to 65%. These findings provide preliminary evidence of shared antigenic features between the parasite and schizophrenia-related autoantigens. Such mimicry could contribute to disease mechanisms by triggering autoimmune responses in genetically susceptible individuals, supporting the hypothesis that T. gondii infection may influence schizophrenia pathogenesis. Nonetheless, the results are based exclusively on in silico analyses, and experimental validation will be required to confirm potential cross-reactivity.

Original languageEnglish (US)
Article number10321
JournalInternational Journal of Molecular Sciences
Volume26
Issue number21
DOIs
StatePublished - Nov 2025

All Science Journal Classification (ASJC) codes

  • Catalysis
  • Molecular Biology
  • Computer Science Applications
  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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