Placenta-on-a-Chip as an In Vitro Approach to Evaluate the Physiological and Structural Characteristics of the Human Placental Barrier upon Drug Exposure: A Systematic Review.
Femke A ElzingaBehrad KhaliliDaniel J TouwPaola Mian PharmDPeter OlingaHenri G D LeuveninkHarry Van GoorSanne J GordijnAnika NagelkerkePaola MianPublished in: Journal of clinical medicine (2023)
Quantification of fetal drug exposure remains challenging since sampling from the placenta or fetus during pregnancy is too invasive. Currently existing in vivo (e.g., cord blood sampling) and ex vivo (e.g., placenta perfusion) models have inherent limitations. A placenta-on-a-chip model is a promising alternative. A systematic search was performed in PubMed on 2 February 2023, and Embase on 14 March 2023. Studies were included where placenta-on-a-chip was used to investigate placental physiology, placenta in different obstetric conditions, and/or fetal exposure to maternally administered drugs. Seventeen articles were included that used comparable approaches but different microfluidic devices and/or different cultured maternal and fetal cell lines. Of these studies, four quantified glucose transfer, four studies evaluated drug transport, three studies investigated nanoparticles, one study analyzed bacterial infection and five studies investigated preeclampsia. It was demonstrated that placenta-on-a-chip has the capacity to recapitulate the key characteristics of the human placental barrier. We aimed to identify knowledge gaps and provide the first steps towards an overview of current protocols for developing a placenta-on-a-chip, that facilitates comparison of results from different studies. Although models differ, they offer a promising approach for in vitro human placental and fetal drug studies under healthy and pathological conditions.
Keyphrases
- endothelial cells
- case control
- high throughput
- circulating tumor cells
- cord blood
- healthcare
- type diabetes
- pregnant women
- emergency department
- early onset
- computed tomography
- magnetic resonance imaging
- blood pressure
- metabolic syndrome
- skeletal muscle
- high resolution
- insulin resistance
- glycemic control
- high speed
- gestational age