Evidence map›Paper›PMID 41359928›Full record

ArticleJMIR bioinformatics and biotechnology2025

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

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

Abstract read
In one paragraph

Article in JMIR bioinformatics and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Diana Isabel Pachón-SuárezDoctorate in Clinical Research, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogota, Colombia.ORCID http://orcid.org/0000-0003-3483-185X
Germán Mejía-SalgadoNeuroscience (NEUROS) Research Group, Neurovitae Research Center, Institute of Translational Medicine (IMT), Universidad del Rosario, Cra 24 # 63C- 69, Bogota, 110911, Colombia, +57 601 2970200 ext. 3320.ORCID http://orcid.org/0000-0002-1241-0715
Oscar CorreaPulmonology and Immunology in Pediatrics Research Group, Department of Pediatrics, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia.ORCID http://orcid.org/0000-0001-6007-2821
Andrés SánchezFaculty of Health, Medical Research Group (GINUMED), Corporación Universitaria Rafael Nuñez, Cartagena, Colombia.ORCID http://orcid.org/0000-0001-7460-3427
Marlon MuneraFaculty of Health, Medical Research Group (GINUMED), Corporación Universitaria Rafael Nuñez, Cartagena, Colombia.ORCID http://orcid.org/0000-0003-3428-0541
Alejandra de-la-TorreNeuroscience (NEUROS) Research Group, Neurovitae Research Center, Institute of Translational Medicine (IMT), Universidad del Rosario, Cra 24 # 63C- 69, Bogota, 110911, Colombia, +57 601 2970200 ext. 3320.ORCID http://orcid.org/0000-0003-0684-1989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

adalimumabantidrug antibodyimmunogenicityin silico analysismolecular mimicry

Identifiers

PMID41359928
PMCPMC12685288

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.