Evidence map›Paper›PMID 39714327›Full record

ArticleClinical and experimental immunology2025

Detection of antibodies to infliximab in routine care: a 4-year French retrospective study.

Daniel Bertin, Jehanne Aghzadi, Nathalie Balandraud, Céline Roman, Mélanie Serrero, Sophie Desplat-Jégo

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

Daniel BertinImmunology Laboratory, Biogenopôle, Hôpital de la Timone, APHM, Marseille, France.ORCID 0000-0001-7172-8865
Jehanne AghzadiCNRS, INP, Institute of Neurophysiopathology, Aix-Marseille University, Marseille, France.
Nathalie BalandraudRheumatology Department, Hôpital Sainte Marguerite, Marseille, France.
Céline RomanMultidisciplinary Pediatrics Department, Hôpital de la Timone, APHM, Marseille, France.
Mélanie SerreroGastroenterology Department, Hôpital Nord, APHM, Marseille, France.
Sophie Desplat-JégoImmunology Laboratory, Biogenopôle, Hôpital de la Timone, APHM, Marseille, France.

Funding

Excellence Initiative of Aix Marseille University AMX-19-IET-004French National Research Agency ANR-16-CONV000X
6 · The paper itself

Abstract

Despite its wide use to treat various inflammatory diseases, infliximab becomes ineffective in some patients due to inadequate drug levels and production of anti-drug antibodies (ADA). The aim of this study was to compare the prevalence and ADA levels in a large cohort of patients. ADA and infliximab (IFX) through levels measured by enzyme-linked immunosorbent assay were collected from 505 patients within a period of 4 years. The results indicate that (i) 13.5% of patients produce ADA, (ii) male patients were more likely to produce ADA at levels above 10 000 ng/ml than female patients, (iii) ADA levels were lower when associated with immunosuppressant drugs, (iv) there was an inverse relationship between ADA presence and IFX detection, and (v) no correlation was observed between ADA levels and number of injections or brand of IFX administered. This study improves our understanding of the factors promoting IFX immunogenicity and highlights the need to develop personalized treatment strategies.

Indexed as

AntibodiesInfliximabAdultAgedEnzyme-Linked Immunosorbent AssayFemaleFranceHumansImmunosuppressive AgentsMaleMiddle AgedRetrospective StudiesAntibodiesImmunosuppressive AgentsInfliximabanti-drug antibodiesimmunogenicityinflammatory bowel diseaseinfliximabrheumatoid arthritis

Identifiers

PMID39714327
PMCPMC11747995

What OpenQuestion holds

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Registered trials

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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.