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DOI 10.2196/83872

Медицинская библиотека · JMIR bioinformatics and biotechnology · 2025

Immunogenicity of Adalimumab in Bacterial Molecular Mimicry: In Silico Analysis.

Pachón-Suárez Diana Isabel, Mejía-Salgado Germán, Correa Oscar, Sánchez Andrés, Munera Marlon, de-la-Torre Alejandra

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Аннотация

BACKGROUND

Adalimumab, a monoclonal antibody targeting tumor necrosis factor α, treats autoimmune diseases but induces antidrug antibodies in 30% to 60% of patients, reducing its efficacy.

OBJECTIVE

This study aims to investigate molecular mimicry as a mechanism behind this immunogenicity, where bacterial immunoglobulin domains structurally resemble adalimumab's light chain, triggering immune responses.

METHODS

Using PSI-BLASTp (National Center for Biotechnology Information) and PRALINE (Center for Integrative Bioinformatics), there are 40 bacterial antigens homologous to adalimumab, with 8 clinically relevant strains.

RESULTS

Structural analysis revealed 94% amino acid identity between the immunoglobulin domain of Escherichia coli strain B1 and adalimumab's light chain, and 89.67% similarity with Corynebacterium pyruviciproducens. Root mean square deviation values confirmed strong structural homology. Additionally, 5 cross-reactive B-cell epitopes were predicted, suggesting overlapping surfaces that may promote immune cross-reactivity and antidrug antibody development.

CONCLUSIONS

This study represents a first step toward identifying a potential microbial factor driving antiadalimumab antibody formation. The predicted cross-reactive regions provide specific candidates for further in vitro validation to confirm molecular mimicry and refine epitope mapping. Understanding these mechanisms may ultimately inform the design of less immunogenic biologics and guide clinical strategies to predict and prevent antidrug antibody formation.

Для цитирования: Pachón-Suárez Diana Isabel, Mejía-Salgado Germán, Correa Oscar, Sánchez Andrés, Munera Marlon, de-la-Torre Alejandra. Immunogenicity of Adalimumab in Bacterial Molecular Mimicry: In Silico Analysis.. JMIR bioinformatics and biotechnology. 2025. DOI: 10.2196/83872.
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