Lactation PBPK Review Identifies Shared Gaps in Milk-Distribution Data

Three breast-milk distribution models showed broadly similar performance, but gaps in clinical composition data, in vitro support and population sampling limit their use.

Containers for storing expressed breast milk.
Containers for storing expressed breast milk. (Beukbeuk, Public domain)

Three Models, Similar Overall Performance

A review by Andrew S. Butler, Essam Kerwash and Susan Cole of the UK Medicines and Healthcare products Regulatory Agency examines the breast-milk distribution models used in lactation physiologically based pharmacokinetic (PBPK) modeling. The aim is to characterize uncertainty in predicting infant exposure to maternal medication through breast milk.

The review identifies three approaches: Phase Distribution, Log-Transformed Phase Distribution and Semi-Mechanistic models. Their performance against observed data was broadly consistent. This comparison sits alongside substantial shared limitations in the evidence used to develop and assess them.

Data Needed to Test the Assumptions

Clinical lactation studies often provide too little information about breast-milk constituents to validate mechanistic models adequately. In vitro findings do not consistently support the models’ assumptions, and samples from a sufficiently broad range of women remain limited. These gaps constrain assessment of both model behavior and population variability.

The authors call for targeted work to address these deficiencies so that modeling can better support clinical lactation studies and medication decisions. The paper is a review of the modeling evidence and its data needs, with the goal of improving the basis for assessing exposure during breastfeeding.

Sources

  1. Butler AS, Kerwash E, Cole S. Developing physiologically based pharmacokinetic models to understand lactation exposure to medications: Gaps in available data and call for action. British Journal of Clinical Pharmacology. 2026-10-30. DOI: 10.1002/bcp.70896.