Active Pregnancy, Children & Inherited Conditions Digestion, Kidneys & Other Organs

An Integrated, Physiologically Based, Multiscale Platform to Humanise Preclinical Assessment of Fetal Drug Exposure and Toxicity During Pregnancy

In plain English

AI plain-English summary

Pregnant women and their doctors are making medication decisions based on animal tests that poorly predict human outcomes. The problem is that rodent and rabbit models used in drug development do not recapitulate human pregnancy physiology, leaving the risks of most drugs taken during pregnancy poorly understood. This research programme will build a human-relevant platform to generate safety information early in drug development. The team will create an open-access pregnancy pharmacokinetics database to predict drug exposure across gestation, develop a placenta-on-chip model to track how drugs move through the placental barrier, and analyse molecular data from that chip to identify signatures of drug-induced harm. If successful, this platform could transform how drug safety is assessed during pregnancy, replacing unreliable animal models with human-tissue-based tools. The immediate impact would be on pharmaceutical development pipelines and regulatory safety assessments, giving clinicians and patients clearer, earlier information about which drugs are safe to use during pregnancy. The work also lays groundwork for adding fetal organs-on-chip to the platform in future.

View original technical description
Pregnancy is a unique window during which the health and wellbeing of future generations are established. To maintain optimal maternal and fetal health, many women require at least one drug during pregnancy. For most drugs, the associated risks are poorly understood because the rodent and rabbit models used during drug development do not recapitulate human physiology. My research programme aims to transform the assessment of drug safety during pregnancy by developing a platform to generate human-pregnancy-relevant safety information early in development. I will deliver this through a transdisciplinary team supported by robust scientific collaborations. First, we will develop an open access pregnancy pharmacokinetics database to qualify maternofetal pharmacokinetic models for granular prediction of drug exposure across gestation. Second, we will develop a placenta-on-chip model to characterise drug disposition for pharmacokinetic model improvement and to investigate drug-induced perturbations. Lastly, integrated analysis of multi-omics data from placenta-on-chip will be used to uncover molecular signatures of drug- induced perturbations, which will form the basis for risk assessments. This work will underpin future addition of fetal organs-on-chip to the platform to characterise drug-induced perturbations in developing fetal organs. This programme will benefit from a comprehensive portfolio of stakeholders’ engagement for early input and policy influence.

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Researchers

Adeniyi Olagunju (EPMC Awardee)

Related Research

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Original classification

Career Development Award

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