Evidence map›Paper›PMID 37242712›Full record

ArticlePharmaceutics2023

Generic Workflow to Predict Medicine Concentrations in Human Milk Using Physiologically-Based Pharmacokinetic (PBPK) Modelling-A Contribution from the ConcePTION Project.

Nina Nauwelaerts, Julia Macente, Neel Deferm, Rodolfo Hernandes Bonan, Miao-Chan Huang, Martje Van Neste, David Bibi, Justine Badee, Frederico S Martins, Anne Smits and 3 more

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Article
  10. Article
  11. Transporters and drug secretion into human breast milk.Expert opinion on drug metabolism & toxicology · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Very low enalapril and enalaprilat exposureFrontiers in pharmacology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors.

Nina NauwelaertsDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-5301-6813
Julia MacenteDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
Neel DefermDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
Rodolfo Hernandes BonanBioNotus GCV, 2845 Niel, Belgium.ORCID 0000-0001-5944-2602
Miao-Chan HuangDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
Martje Van NesteClinical Pharmacology and Pharmacotherapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
David BibiGlobal Research and Development, Teva Pharmaceutical Industries Ltd., Netanya 42504, Israel.
Justine BadeeNovartis Institutes for BioMedical Research, Novartis, CH-4056 Basel, Switzerland.
Frederico S MartinsDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-5555-8771
Anne SmitsDepartment of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-0710-6698
Karel AllegaertClinical Pharmacology and Pharmacotherapy, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-9921-5105
Thomas BouillonBioNotus GCV, 2845 Niel, Belgium.
Pieter AnnaertDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0003-3525-7351

Funding

Innovative Medicines Initiative 821520Research Foundation - Flanders 1S50721N
6 · The paper itself

Abstract

Women commonly take medication during lactation. Currently, there is little information about the exposure-related safety of maternal medicines for breastfed infants. The aim was to explore the performance of a generic physiologically-based pharmacokinetic (PBPK) model to predict concentrations in human milk for ten physiochemically diverse medicines. First, PBPK models were developed for "non-lactating" adult individuals in PK-Sim/MoBi v9.1 (Open Systems Pharmacology). The PBPK models predicted the area-under-the-curve (AUC) and maximum concentrations (C

Indexed as

breastfeedingdaily infant dosagehuman milkin silicolactationmedicinesmilk-to-plasma ratio (M/P ratio)pharmacokineticsphysiologically-based pharmacokinetic (PBPK) modelling and simulationrelative infant dose

Identifiers

PMID37242712
PMCPMC10223637

What OpenQuestion holds

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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.