Swingle Kelsey L, Hamilton Alex G, Mitchell Michael J
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States.
Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States; Penn Institute for RNA Innovation, Perelman School of Medicine, Philadelphia, PA, United States; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Cardiovascular Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Center for Precision Engineering for Health, University of Pennsylvania, Philadelphia, PA, United States.
Placenta. 2024 Aug 13. doi: 10.1016/j.placenta.2024.08.007.
Clinically approved therapeutics for obstetric conditions are extremely limited, with over 80% of drugs lacking appropriate labeling information for pregnant individuals. The pathology for many of these obstetric conditions can be linked to the placenta, necessitating the development of therapeutic platforms for selective drug delivery to the placenta. When evaluating therapeutics for placental delivery, literature has focused on ex vivo delivery to human placental cells and tissue, which can be difficult to source for non-clinical researchers. Evaluating in vivo drug delivery to the placenta using small animal models can be more accessible than using human tissue, but robust, quantitative methods to characterize delivery remain poorly established. Here, we report a flow cytometric method to evaluate in vivo drug delivery to the murine placenta. Specifically, we describe techniques to identify key cell types in the murine placenta - trophoblasts, endothelial cells, and immune cells - via flow cytometric analysis. While we have employed this method to detect lipid nanoparticle-mediated nucleic acid delivery, this approach can extend to a variety of drug carriers (e.g., liposomes, exosomes, polymeric and metallic nanoparticles) and payloads (e.g., small molecules, proteins, other nucleic acids). Similarly, we describe the application of this method toward immunophenotypic analysis to assess changes in the placental immune environment during disease or in response to a therapeutic. Together, the techniques reported herein aim to broaden the accessibility of placental research in an effort to encourage collaboration between physician-scientists, engineers, placental biologists, and clinicians for developing novel therapeutics to treat placental conditions during pregnancy.
临床上批准用于产科疾病的治疗方法极为有限,超过80%的药物缺乏针对孕妇的适当标签信息。许多这些产科疾病的病理机制都与胎盘有关,因此需要开发能够将药物选择性递送至胎盘的治疗平台。在评估用于胎盘递送的治疗方法时,文献主要集中在对人胎盘细胞和组织的离体递送,这对于非临床研究人员来说可能难以获取。使用小动物模型评估体内药物向胎盘的递送可能比使用人体组织更容易,但用于表征递送的可靠、定量方法仍不完善。在此,我们报告一种流式细胞术方法,用于评估体内药物向小鼠胎盘的递送。具体而言,我们描述了通过流式细胞术分析来识别小鼠胎盘关键细胞类型——滋养层细胞、内皮细胞和免疫细胞的技术。虽然我们已采用此方法检测脂质纳米颗粒介导的核酸递送,但该方法可扩展至多种药物载体(如脂质体、外泌体、聚合物和金属纳米颗粒)和载荷(如小分子、蛋白质、其他核酸)。同样,我们描述了该方法在免疫表型分析中的应用,以评估疾病期间或对治疗反应时胎盘免疫环境的变化。本文报道的这些技术旨在拓宽胎盘研究的可及性,以鼓励医学科学家、工程师、胎盘生物学家和临床医生之间开展合作,开发治疗孕期胎盘疾病的新型疗法。