Evidence map›Paper›PMID 42766629›Full record

ArticlePLoS computational biology2026

Methotrexate's effect on cells and adalimumab immunogenicity in axial spondyloarthritis: A mathematical study.

Sara Sottile, Conception Paul, Rachel Audo, Theo Rispens, Denis Mulleman, Peter Rashkov

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Article in PLoS computational biology, 2026. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sara SottileDepartment of Medical and Surgical Sciences, Università di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7810-2099
Conception PaulInstitut de Génétique Moléculaire de Montpellier, Montpellier, France.
Rachel AudoPhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, France.
Theo RispensDepartment of Immunopathology, Sanquin Research, Amsterdam, The Netherlands.
Denis MullemanNanomedicines and Nanoprobes Department, Center for Molecular Biophysics, UPR CNRS 4301, Université de Tours, Tours, France.ORCID https://orcid.org/0000-0003-4089-7513
Peter RashkovInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0003-4093-7837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axial spondyloarthritis is a chronic inflammatory disease impacting the spine and joints. Tumour necrosis factor inhibitors, like adalimumab, are used to treat severe cases, but up to 25% of patients discontinue due to reduced effectiveness, often from emergence of anti-drug antibodies. Methotrexate, while ineffective alone in treatment, has shown potential in reducing the formation of anti-drug antibodies to the therapeutic compound, but its mechanism of action on the immune response remains unclear. The objective of the study is to develop a mathematical model that describes the impact of methotrexate in reducing the immunogenicity of adalimumab in axial spondyloarthritis. Based on mathematical models established in the literature, we formulate a system of ordinary differential equations to describe the temporal dynamics of the immune cells (T and B lymphocytes), the therapeutic compounds in the study (adalimumab and methotrexate), and TNFα. The data used to calibrate the model are sourced from previously published in vitro experiments and a clinical trial which involved 110 patients who received adalimumab alone or adalimumab in combination with methotrexate, from whom adalimumab concentration, lymphocyte counts, and antibody titres collected along five visits during the course of treatment. A computational model is used to generate virtual patient cohorts reflecting the original data and to simulate immunogenic responses to adalimumab. Simulations across 31 scenarios for the mechanism whereby methotrexate acts on the immune cell subsets, predict that methotrexate likely reduces immunogenicity by increasing apoptosis of activated T cells.

Indexed as

AdalimumabAxial SpondyloarthritisMethotrexateAntirheumatic AgentsB-LymphocytesComputational BiologyHumansModels, ImmunologicalT-LymphocytesTumor Necrosis Factor-alphaAdalimumabAntirheumatic AgentsMethotrexateTumor Necrosis Factor-alpha

Identifiers

PMID42766629
PMCPMC13592724

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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.