Evidence map›Paper›PMID 42189499›Full record

SynthesisClinical pharmacokinetics2026

Population Pharmacokinetics and Pharmacodynamics of Immunoglobulins: A Systematic Review.

S L van der Zeeuw, S J van Tilburg, B C Jacobs, B C P Koch, V A S H Dalm, M B S Crombag, T Preijers

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical pharmacokinetics, 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

7 authors.

S L van der ZeeuwDepartment of Hospital Pharmacy, Erasmus MC, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID 0009-0001-2000-6763
S J van TilburgDepartment of Hospital Pharmacy, Erasmus MC, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID 0000-0003-3983-9797
B C JacobsDepartment of Immunology, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-8985-2458
B C P KochDepartment of Hospital Pharmacy, Erasmus MC, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID 0000-0002-1202-3643
V A S H DalmDepartment of Immunology, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-5945-4435
M B S CrombagDepartment of Hospital Pharmacy, Erasmus MC, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.ORCID 0000-0002-2241-252X
T PreijersDepartment of Hospital Pharmacy, Erasmus MC, Erasmus University Medical Center Rotterdam, Dr Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. t.preijers@erasmusmc.nl.ORCID 0000-0001-6953-0358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveIntravenous and/or subcutaneous immunoglobulins (IVIg/SCIg) are used as immunoglobulin replacement therapy (IgRT) in primary and secondary immunodeficiencies (PID/SID) and as immunomodulatory therapy in immune-mediated diseases. Despite empiric immunoglobulin G (IgG) target concentrations in PID, dosing remains variable and suboptimal, particularly in immune-mediated diseases lacking clear IgG target concentrations. Population pharmacokinetic (popPK) and pharmacodynamic (PD) modelling may clarify interindividual variability and support individualised dosing. Recent developments extend beyond PID, emphasising the importance of integrated PK-PD approaches to optimise IgG therapy. This review aimed to provide a comprehensive overview of popPK(-PD) models describing polyclonal IgG therapy, and to emphasise the added value of PK-PD in understanding drug behaviour.

methodsA systematic literature search was conducted in Embase, MEDLINE, and Web of Science from inception to August 2025. Studies describing popPK(-PD) models for exogenous polyclonal IVIg and/or SCIg administration in humans were included.

resultsIn total, 14 studies were included. While most popPK models focus on PID (N = 10), an increasing number address immune-mediated diseases. Immunoglobulin G pharmacokinetics are typically described using two-compartment models with first-order kinetics, using body weight (BW) as a common covariate for clearance and volume of distribution. Endogenous IgG is often incorporated as a fixed PK parameter; however, this may not adequately capture interindividual variability and potential effects of Ig treatment on IgG concentrations. Two popPK-PD models link IgG concentrations to clinical outcomes in immune-mediated diseases. In contrast, such models are currently lacking for PID. Simulations showed consistent predicted IgG concentrations following SCIg in PID, while IVIg models in PID showed more variability.

conclusionsPopPK models have advanced understanding of IgG PK and its variability between patients and treatment regimens. These models provide a powerful framework to support individualised dosing strategies, thereby potentially reducing reliance on empirical, trial-and-error dosing approaches. However, clear target concentrations are lacking and must be established for individual patients. Models may be further optimised by incorporating essential Neonatal Fc receptor (FcRn) mechanisms using physiology-based pharmacokinetic (PBPK) or semi-mechanistic models. In conclusion, current models are useful to predict IgG concentrations across diseases during Ig treatment; however, a clearer relationship with PD is required. Hence, these findings can guide clinical trial design for tailored dosing regimens.

Indexed as

Immunoglobulin GImmunoglobulins, IntravenousImmunologic Deficiency SyndromesModels, BiologicalHumansImmunoglobulin GImmunoglobulins, Intravenous

Identifiers

PMID42189499
PMCPMC13272613

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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.