Bagalkot Vaishali, Badgeley Marcus A, Kampfrath Thomas, Deiuliis Jeffrey A, Rajagopalan Sanjay, Maiseyeu Andrei
Division of Cardiovascular Medicine, Department of Medicine, University of Maryland, Baltimore, MD 21201, United States.
Davis Heart and Lung Research Institute, Ohio State University, Columbus, OH 43210, United States.
J Control Release. 2015 Nov 10;217:243-55. doi: 10.1016/j.jconrel.2015.09.027. Epub 2015 Sep 18.
Macrophages are innate immune cells with great phenotypic plasticity, which allows them to regulate an array of physiological processes such as host defense, tissue repair, and lipid/lipoprotein metabolism. In this proof-of-principle study, we report that macrophages of the M1 inflammatory phenotype can be selectively targeted by model hybrid lipid-latex (LiLa) nanoparticles bearing phagocytic signals. We demonstrate a simple and robust route to fabricate nanoparticles and then show their efficacy through imaging and drug delivery in inflammatory disease models of atherosclerosis and obesity. Self-assembled LiLa nanoparticles can be modified with a variety of hydrophobic entities such as drug cargos, signaling lipids, and imaging reporters resulting in sub-100nm nanoparticles with low polydispersities. The optimized theranostic LiLa formulation with gadolinium, fluorescein and "eat-me" phagocytic signals (Gd-FITC-LiLa) a) demonstrates high relaxivity that improves magnetic resonance imaging (MRI) sensitivity, b) encapsulates hydrophobic drugs at up to 60% by weight, and c) selectively targets inflammatory M1 macrophages concomitant with controlled release of the payload of anti-inflammatory drug. The mechanism and kinetics of the payload discharge appeared to be phospholipase A2 activity-dependent, as determined by means of intracellular Förster resonance energy transfer (FRET). In vivo, LiLa targets M1 macrophages in a mouse model of atherosclerosis, allowing noninvasive imaging of atherosclerotic plaque by MRI. In the context of obesity, LiLa particles were selectively deposited to M1 macrophages within inflamed adipose tissue, as demonstrated by single-photon intravital imaging in mice. Collectively, our results suggest that phagocytic signals can preferentially target inflammatory macrophages in experimental models of atherosclerosis and obesity, thus opening the possibility of future clinical applications that diagnose/treat these conditions. Tunable LiLa nanoparticles reported here can serve as a model theranostic platform with application in various types of imaging of the diseases such as cardiovascular disorders, obesity, and cancer where macrophages play a pathogenic role.
巨噬细胞是具有高度表型可塑性的固有免疫细胞,这使其能够调节一系列生理过程,如宿主防御、组织修复以及脂质/脂蛋白代谢。在这项原理验证研究中,我们报告称,具有吞噬信号的模型混合脂质-乳胶(LiLa)纳米颗粒能够选择性地靶向M1炎症表型的巨噬细胞。我们展示了一种简单且可靠的纳米颗粒制备方法,然后通过在动脉粥样硬化和肥胖症的炎症疾病模型中的成像和药物递送展示了它们的功效。自组装的LiLa纳米颗粒可以用多种疏水性实体进行修饰,如药物载体、信号脂质和成像报告分子,从而得到具有低多分散性的亚100nm纳米颗粒。优化后的具有钆、荧光素和“吃我”吞噬信号的LiLa诊疗制剂(Gd-FITC-LiLa):a)具有高弛豫率,可提高磁共振成像(MRI)的灵敏度;b)能够以高达60%的重量比封装疏水性药物;c)选择性地靶向炎症性M1巨噬细胞,同时实现抗炎药物有效载荷的控释。通过细胞内Förster共振能量转移(FRET)测定,有效载荷释放的机制和动力学似乎依赖于磷脂酶A2的活性。在体内,LiLa在动脉粥样硬化小鼠模型中靶向M1巨噬细胞,从而实现通过MRI对动脉粥样硬化斑块进行无创成像。在肥胖症的背景下,如小鼠体内单光子活体成像所示,LiLa颗粒选择性地沉积到炎症脂肪组织内的M1巨噬细胞中。总体而言,我们的结果表明,吞噬信号能够在动脉粥样硬化和肥胖症的实验模型中优先靶向炎症巨噬细胞,从而为未来诊断/治疗这些病症的临床应用开辟了可能性。本文报道的可调节LiLa纳米颗粒可作为一种模型诊疗平台,应用于巨噬细胞发挥致病作用的各种疾病成像,如心血管疾病、肥胖症和癌症。