Evidence map›Paper›PMID 40693747›Full record

ReviewCPT: pharmacometrics & systems pharmacology2025

Mechanism-Based Modeling Approaches to Quantify the Effect of Immunogenicity on the Pharmacokinetics of Therapeutic Proteins in Drug Development.

Paridhi Gupta, Josiah T Ryman, Vibha Jawa, Bernd Meibohm

Abstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

4 authors.

Paridhi GuptaDepartment of Pharmaceutical Sciences, College of Pharmacy, The University of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID 0009-0007-9099-5177
Josiah T RymanEMD Serono Research and Development Institute, Billerica, Massachusetts, USA.ORCID 0000-0002-7692-4432
Vibha JawaClinical Pharmacology, Pharmacometrics & Bioanalysis, Bristol Myers Squibb, Princeton, New Jersey, USA.ORCID 0000-0001-7019-729X
Bernd MeibohmDepartment of Pharmaceutical Sciences, College of Pharmacy, The University of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID 0000-0003-3923-3648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic protein administration in both preclinical and clinical studies can result in the formation of anti-drug antibodies against the therapeutic protein. Anti-drug antibody formation may alter the pharmacokinetics of the therapeutic protein, reduce its plasma concentrations, increase exposure variability, and may lead to a loss of efficacy and adverse events. In an effort to quantitatively understand the effect of anti-drug antibodies on the concentration-time profile of a therapeutic protein, as well as develop effective strategies to mitigate its impact in the preclinical and clinical development of therapeutic proteins, mathematical models have been developed to characterize the therapeutic protein pharmacokinetics and its modulation by anti-drug antibodies in vivo. Here, we review several different mechanism-based modeling frameworks, summarize their approaches to predict immunogenicity effects, and explore the merits and limitations of each model.

Indexed as

AntibodiesDrug DevelopmentModels, BiologicalProteinsAnimalsAntibody FormationHumansModels, TheoreticalAntibodiesProteinsanti‐drug antibodydrug developmentimmunogenicitypharmacokineticspharmacometric modelingtherapeutic protein

Identifiers

PMID40693747
PMCPMC12439280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.