A multifunctional core-satellite nanoconstruct is designed by assembling copper sulfide (CuS) nanoparticles on the surface of [ Zr]-labeled hollow mesoporous silica nanoshells filled with porphyrin molecules, for effective cancer imaging and therapy. The hybrid nanotheranostic demonstrates three significant features: (1) simple and robust construction from biocompatible building blocks, demonstrating prolonged blood retention, enhanced tumor accumulation, and minimal long-term systemic toxicity, (2) rationally selected functional moieties that interact together to enable simultaneous tetramodal (positron emission tomography/fluorescence/Cerenkov luminescence/Cerenkov radiation energy transfer) imaging for rapid and accurate delineation of tumors and multimodal image-guided therapy in vivo, and (3) synergistic interaction between CuS-mediated photothermal therapy and porphyrin-mediated photodynamic therapy which results in complete tumor elimination within a day of treatment with no visible recurrence or side effects. Overall, this proof-of-concept study illustrates an efficient, generalized approach to design high-performance core-satellite nanohybrids that can be easily tailored to combine a wide variety of imaging and therapeutic modalities for improved and personalized cancer theranostics in the future.
Nanoengineering of cell membranes holds great potential to revolutionize tumor-targeted theranostics, owing to their innate biocompatibility and ability to escape from the immune and reticuloendothelial systems. However, tailoring and integrating cell membranes with drug and imaging agents into one versatile nanoparticle are still challenging. Here, multicompartment membrane-derived liposomes (MCLs) are developed by reassembling cancer cell membranes with Tween-80, and are used to conjugate Zr via deferoxamine chelator and load tetrakis(4-carboxyphenyl) porphyrin for in vivo noninvasive quantitative tracing by positron emission tomography imaging and photodynamic therapy (PDT), respectively. Radiolabeled constructs, Zr-Df-MCLs, demonstrate excellent radiochemical stability in vivo, target 4T1 tumors by the enhanced permeability and retention effect, and are retained long-term for efficient and effective PDT while clearing gradually from the reticuloendothelial system via hepatobiliary excretion. Toxicity evaluation confirms that the MCLs do not impose acute or chronic toxicity in intravenously injected mice. Additionally, Zr-labeled MCLs can execute rapid and highly sensitive lymph node mapping, even for deep-seated sentinel lymph nodes. The as-developed cell membrane reassembling route to MCLs could be extended to other cell types, providing a versatile platform for disease theranostics by facilely and efficiently integrating various multifunctional agents.
Rapid sequestration and prolonged retention of intravenously injected nanoparticles by the liver and spleen (reticuloendothelial system (RES)) presents a major barrier to effective delivery to the target site and hampers clinical translation of nanomedicine. Inspired by biological macromolecular drugs, synthesis of ultrasmall (diameter ≈12–15 nm) porous silica nanoparticles (UPSNs), capable of prolonged plasma half‐life, attenuated RES sequestration, and accelerated hepatobiliary clearance, is reported. The study further investigates the effect of tumor vascularization on uptake and retention of UPSNs in two mouse models of triple negative breast cancer with distinctly different microenvironments. A semimechanistic mathematical model is developed to gain mechanistic insights into the interactions between the UPSNs and the biological entities of interest, specifically the RES. Despite similar systemic pharmacokinetic profiles, UPSNs demonstrate strikingly different tumor responses in the two models. Histopathology confirms the differences in vasculature and stromal status of the two models, and corresponding differences in the microscopic distribution of UPSNs within the tumors. The studies demonstrate the successful application of multidisciplinary and complementary approaches, based on laboratory experimentation and mathematical modeling, to concurrently design optimized nanomaterials, and investigate their complex biological interactions, in order to drive innovation and translation.
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