NIH-funded research R01 grant

Predicting how medications transfer into breast milk

Official title: PBPK Modeling & Simulation to Predict Transporter-Mediated Drug Secretion into Human Breast Milk

Funded at University of Washington · NIH-11314961 · Data updated 2026-11-12

This study is looking at how medications taken by breastfeeding moms can get into their breast milk and affect their babies, and it aims to create a computer model to help predict how much of the medicine might be present in the milk, so moms can make informed choices about breastfeeding while on medication.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Washington
NIH-funded
Lab location1 site (Seattle, United States)
Project startSeptember 1, 2023
Project endAugust 31, 2027
Funding year2025
Award (this year)$84,143
NIH project number3R01HD112282-02S1
Project IDNIH-11314961 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are lactating women who are taking medications and are concerned about their potential effects on breastfeeding infants.

Less likely to help

Patients who are not breastfeeding or who are not taking any medications will not benefit from this research.

What this research studies

This research investigates how medications taken by breastfeeding women can transfer into breast milk, potentially affecting infants. It aims to develop a predictive model that uses computer simulations to estimate the concentration of drugs in breast milk based on their presence in the mother's blood. By understanding these transfer mechanisms, the study seeks to balance the benefits of breastfeeding with the risks of medication exposure to infants. This approach is particularly important as traditional clinical studies in lactating women are often impractical.

Why it matters

Potential benefit: If successful, this research could help ensure safer breastfeeding practices by providing critical information on medication exposure for infants.

How similar studies have gone: While there have been studies on drug transfer into breast milk, this specific predictive modeling approach is relatively novel and has not been extensively tested.

Where this research is happening

  • University of Washington
    Seattle, United States
    Active

Researchers

  • Principal investigator: Hebert, Mary F — University of Washington
  • Study coordinator: Hebert, Mary F

Related research

Other NIH-funded projects on the same topics.

  • Making genetic testing more accessible to the public

    This study is all about making it easier for people at risk of certain cancers, like breast, ovarian, and colon cancers, to get genetic testing, so we can find out what helps them access these important services and understand how they can benefit from them.

    NIH research University of Washington · Seattle, United States · NIH-9845571

  • Breast cancer diagnosis in low-resource settings using millifluidics and fast digital imaging in Ghana

    A new project will test a fast, low-cost way to diagnose breast cancer at the point of care in Ghana using small-batch fluidics and direct digital imaging.

    NIH research University of Washington · Seattle, United States · NIH-11645064

  • Binaural Hearing and Speech in Noise in Children

    This project explores how children hear speech in noisy classrooms using how the two ears work together to see if binaural processing differences explain why some kids struggle more than others.

    NIH research University of Washington · Seattle, United States · NIH-11631484

  • Neural circuits that control pain aversion in the brain

    Researchers are exploring how a specific brain area helps people feel and avoid pain, with potential to lead to better pain treatments.

    NIH research University of Washington · Seattle, United States · NIH-11629742

  • United World Antiviral Research Network (UWARN)

    A collaborative, international effort is testing new virus surveillance and evolution ideas to help people living with HIV and communities in LMICs stay safer from current and emerging viruses.

    NIH research University of Washington · Seattle, United States · NIH-11627864

  • HF endotypes in heart failure using ethical multi-modal AI and molecular data

    A patient-friendly project that uses advanced AI and multiple kinds of health data to identify distinct heart failure subtypes that could guide personalized care.

    NIH research University of Washington · Seattle, United States · NIH-11621806

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.