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Tumor Spheroid Uptake of Fluorescent Nanodiamonds Is Limited by Mass Density: A 4D Light-Sheet Assay
Summary
Researchers developed a new 4D light-sheet microscopy platform to study how fluorescent nanodiamonds penetrate tumor tissue models. They found that the nanoparticles' high density limited their ability to reach the interior of tumor spheroids, an important consideration for designing nanoparticle-based cancer treatments. While focused on nanodiamonds rather than microplastics, the study advances understanding of how nanoparticle physical properties determine their behavior in biological tissues.
Fluorescent nanodiamonds (FNDs) with nitrogen-vacancy centers are promising candidates for long-term biolabeling and biosensing applications due to their biocompatibility and unique optomagnetic properties. The employment of nanomaterials in cancer therapy and diagnostics requires a deep understanding of how nanoparticles (NPs) interact with the three-dimensional (3D) tumor environment. We developed the "Tumor-in-a-Tube" platform, using 4D light-sheet microscopy to explore the spatiotemporal dynamics of FNDs with 3D tumor spheroids. By monitoring the real-time NP sedimentation, spheroid penetration, and cellular uptake of FNDs and polystyrene nanoparticles (PNPs), we marked the impact of the NP mass density on their spheroid interaction. Unlike PNPs, higher-density FNDs underwent rapid sedimentation, which minimized their effective concentration and hindered the FND-spheroid interactions. This results in constrained intratumoral accumulation and size-independent uptake and penetration. Longer FND effective-exposure time promotes size-dependent cell uptake, verified by FND treatment on 2D monolayers. Nonetheless, FNDs exhibited good biocompatibility and long-term spheroid labeling, allowing for cell isolation from different spheroid layers. Our results suggest the need for NP effective-exposure-time calibration in comparative NP assays, in 3D static models. Overall, our platform provides a valuable tool for bridging the gap between 2D and 3D static models in NP assessment, drug delivery, toxicology profiling, and translational research.
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