"DESIGN AND DEVELOPMENT OF LIPID NANOPARTICLES FOR PLACENTAL GENE THER" by Rachel Young

Date Approved

5-27-2025

Embargo Period

5-27-2027

Document Type

Dissertation

Degree Name

Ph.D. Biomedical Engineering

Department

Biomedical Engineering

College

Henry M. Rowan College of Engineering

Advisor

Rachel Riley, Ph.D.

Committee Member 1

Mark Byrne, Ph.D.

Committee Member 2

Erik Brewer, Ph.D.

Committee Member 3

Andrea Vernengo, Ph.D.

Committee Member 4

James Holaska, Ph.D.

Keywords

Drug Delivery;Lipid Nanoparticles;Nucleic Acids;Placenta;Preeclampsia

Abstract

The goal of this dissertation was to design and develop novel lipid nanoparticle (LNP) drug delivery platforms for nucleic acid delivery to the placenta to treat placental dysfunction. Nucleic acids transiently modulate gene expression and have high potential as a therapeutic modality for placental dysfunction-related disorders, such as preeclampsia, which collectively affect 10-15% of pregnancies. First, we employ Design of Experiment approaches to investigate LNP design parameters for LNP-mediated mRNA delivery to placental cells. We utilize an optimized LNP formulation to deliver placental growth factor mRNA, an angiogenic factor downregulated in preeclampsia. Next, we characterize the hypoxic microenvironment of the dysfunctional placenta using 1st and 3rd trimester in vitro models. We investigate how hypoxia impacts LNP delivery to provide insights for LNP design for gene therapy in the hypoxic, diseased placenta. Next, we characterize an in vivo model of placental dysfunction and hypoxia utilizing endothelial nitric oxide synthase knockout (eNOS⁻/⁻) mice. Finally, we exploit the hypoxic microenvironment of the dysfunctional placenta to design a hypoxia-responsive ionizable lipid which, when complexed into LNPs, promotes delivery to hypoxic placental cells. Together, this dissertation provides insights into placental dysfunction that inform the design of novel LNP technologies to treat placental dysfunction-related disorders and improve patient outcomes in maternal-fetal health.

Available for download on Thursday, May 27, 2027

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