体内分布
造血
祖细胞
化学
细胞生物学
干细胞
巨噬细胞
免疫系统
骨髓
补体系统
体外
生物
免疫学
生物化学
作者
Eric H. Sterin,Lawrence Weinstein,Ashish Tiwari,George C. Kramarenko,Chitran Roy Chowdhury,Kejian Li,Emily S. Day
标识
DOI:10.1073/pnas.2507922122
摘要
The ideal delivery of therapeutic nanoparticles (NPs) to specific sites requires evading immune clearance and selectively binding target cells. Wrapping NPs in cell-derived membranes has shown promise in improving targeted delivery, but the mechanisms underlying this phenomenon are not fully understood. Protein corona (PC) formation on NPs can significantly alter their biological identity to influence biodistribution, making its characterization on membrane-wrapped NPs (MWNPs) and unwrapped NPs crucial. In this study, we compared MWNPs incorporating membranes derived from megakaryoblastic CHRF-288-11 cells, which can accumulate in bone marrow (BM) and preferentially bind hematopoietic stem and progenitor cells (HSPCs), with unwrapped NPs. We investigated differences in PC composition, macrophage uptake, target cell uptake, and biodistribution in wild type (WT) mice and knockout mice that have low or absent expression of different opsonin proteins. In vitro, MWNPs with a PC exhibited increased target cell uptake and decreased macrophage uptake compared to unwrapped NPs with a PC. Proteomics revealed apolipoprotein B as the dominant opsonin on both NP types after incubation in mouse, bovine, or human serum, with other proteins like complement, immunoglobulins, and apolipoproteins also being present. Biodistribution studies indicated a complex interplay between the PC and targeting/clearance, where complement component 3 and immunoglobulin G adsorption on MWNPs led to macrophage clearance but also enabled HSPC targeting. Meanwhile, apolipoprotein E adsorption facilitated hepatocyte clearance but reduced immune cell uptake in the liver. Future research on PCs could determine whether these mechanisms are generalizable to other types of MWNPs, potentially revealing strategies to enhance their effectiveness as delivery systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI