ArticlePharmaceutical research2015
Prediction of Drug Transfer into Milk Considering Breast Cancer Resistance Protein (BCRP)-Mediated Transport.
Article in Pharmaceutical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06088849 (Maternal Treatment With ACE-inhibitors and Breastfeeding), which is not on this map. Cited by 17 papers.
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.
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.
Maternal Treatment With ACE-inhibitors and Breastfeeding: a Mono-centric Study on the Exposure Through Breast Milk
Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- The Impact of Substance Use Disorder and Drug Transfer into Breast Milk: Implications for Maternal and Infant Health.Pharmaceutics · 2025Review
- Transporters and drug secretion into human breast milk.Expert opinion on drug metabolism & toxicology · 2025Review
- A close examination of BCRP's role in lactation and methods for predicting drug distribution into milk.CPT: pharmacometrics & systems pharmacology · 2024Review
- A tutorial on physiologically based pharmacokinetic approaches in lactation research.CPT: pharmacometrics & systems pharmacology · 2024Article
- Selection of a suitable animal model to evaluate secretion of drugs in the human milk: a systematic approach.Xenobiotica; the fate of foreign compounds in biological systems · 2024Article
- Machine Learning Models for Prediction of Xenobiotic Chemicals with High Propensity to Transfer into Human Milk.ACS omega · 2024Article
- Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity.Frontiers in pharmacology · 2024Article
- Prediction model for milk transfer of drugs by primarily evaluating the area under the curve using QSAR/QSPR.Pharmaceutical research · 2023Article
- Transporters in the Mammary Gland-Contribution to Presence of Nutrients and Drugs into Milk.Nutrients · 2019Review
- Review article: direct-acting antivirals for the treatment of HCV during pregnancy and lactation - implications for maternal dosing, foetal exposure, and safety for mother and child.Alimentary pharmacology & therapeutics · 2019Review
- Inhibitors of Human ABCG2: From Technical Background to Recent Updates With Clinical Implications.Frontiers in pharmacology · 2019Review
- Validation and clinical application of a novel LC-MS method for quantification of dolutegravir in breast milk.Bioanalysis · 2018Article
- Drugs in Lactation.Pharmaceutical research · 2018Review
- Clinical and Molecular Evidence of ABCC11 Protein Expression in Axillary Apocrine Glands of Patients with Axillary Osmidrosis.International journal of molecular sciences · 2017Article
- Knockdown of SALL4 inhibits the proliferation and reverses the resistance of MCF-7/ADR cells to doxorubicin hydrochloride.BMC molecular biology · 2016Article
- Identification of Febuxostat as a New Strong ABCG2 Inhibitor: Potential Applications and Risks in Clinical Situations.Frontiers in pharmacology · 2016Article
- Regulation of the Axillary Osmidrosis-Associated ABCC11 Protein Stability by N-Linked Glycosylation: Effect of Glucose Condition.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDrug transfer into milk is of concern due to the unnecessary exposure of infants to drugs. Proposed prediction methods for such transfer assume only passive drug diffusion across the mammary epithelium. This study reorganized data from the literature to assess the contribution of carrier-mediated transport to drug transfer into milk, and to improve the predictability thereof.
methodsMilk-to-plasma drug concentration ratios (M/Ps) in humans were exhaustively collected from the literature and converted into observed unbound concentration ratios (M/Punbound,obs). The ratios were also predicted based on passive diffusion across the mammary epithelium (M/Punbound,pred). An in vitro transport assay was performed for selected drugs in breast cancer resistance protein (BCRP)-expressing cell monolayers.
resultsM/Punbound,obs and M/Punbound,pred values were compared for 166 drugs. M/Punbound,obs values were 1.5 times or more higher than M/Punbound,pred values for as many as 13 out of 16 known BCRP substrates, reconfirming BCRP as the predominant transporter contributing to secretory transfer of drugs into milk. Predictability of M/P values for selected BCRP substrates and non-substrates was improved by considering in vitro-evaluated BCRP-mediated transport relative to passive diffusion alone.
conclusionsThe current analysis improved the predictability of drug transfer into milk, particularly for BCRP substrates, based on an exhaustive data overhaul followed by focused in vitro transport experimentation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.