Evidence map›Paper›PMID 42762263›Full record

ArticleArchives of toxicology2026

Optimisation of in vitro assays for accurate risk assessment of T-cell responses to biologics with potential immune liabilities.

Liam Farrell, Lonnie MacDonald, Georgia Wells, Sophie Grice, Katy Saide, Xiaoli Meng, Catherine J Betts, Dean J Naisbitt

Abstract read
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In one paragraph

Article in Archives of toxicology, 2026. 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

8 authors.

Liam FarrellCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK. liam.farrell@liverpool.ac.uk.
Lonnie MacDonaldCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Georgia WellsCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Sophie GriceCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Katy SaideClinical Pharmacology & Safety Sciences, AstraZeneca R&D, Cambridge, UK.
Xiaoli MengCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Catherine J BettsClinical Pharmacology & Safety Sciences, AstraZeneca R&D, Cambridge, UK.
Dean J NaisbittCentre for Drug Safety Science, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.

Funding

AstraZeneca PhD studentshipMedical Research Council MR/R009635/1
6 · The paper itself

Abstract

Biologics are increasingly used to treat disease, but their clinical efficacy is often hindered by anti-drug antibodies and immunological adverse reactions. Accurate prediction of immunogenicity to biologics at a preclinical development stage would improve safety and prevent financial loss to pharmaceutical companies. A stepwise approach to explore immunogenicity to biologics was developed by; (1) assessing the sensitivity of existing PBMC stimulation assays, (2) optimisation of a DC: T-cell co-culture assay, (3) definition of immune epitopes using rituximab MHC class II-binding peptides. Lymphocyte transformation tests and IFN-γ ELISpot assays were performed using healthy donor PBMC to assess the T-cell stimulatory capacity of a panel of biologics. DC: T-cell co-culture methods were optimised for timepoints, cell numbers and immune dysregulation and assessed using the panel of biologics. Sixteen 15-mer peptides derived from the variable region of rituximab were used to generate and characterise T-cell clones. Initial PBMC experiments showed low sensitivity, presenting frequent false negatives. DC: T-cell assays showed increased sensitivity to biologics, however, high background responses were observed in vehicle control cultures. Optimisation of assay conditions reduced the background counts and increased the dynamic range and sensitivity of the assay. CD4 + T-cell clones were responsive to two 15-mer rituximab peptides in proliferation and cytokine release assays. These data indicate that DC: T-cell co-cultures and cloning methods should be used alongside epitope prediction tools to assess T-cell responses to biologics with potential immune liabilities. Implementing the stepwise approach outlined could identify high risk molecules early in development and highlight "hotspot" regions of molecules for risk mitigation.

Indexed as

AntibodyHumanImmunogenicityTherapeutic proteinT-lymphocytes

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.