Label-Free Tracking of Nanoprodrug Cellular Uptake and Metabolism Using Raman and Autofluorescence Imaging.
Masato MachidaToshiki SugimuraShinji KajimotoFarsai TaemaitreeYoshitaka KosekiHitoshi KasaiTakakazu NakabayashiPublished in: The journal of physical chemistry. B (2023)
Nano-DDS, a drug delivery system using nanoparticles, is a promising tool to reduce adverse drug reactions and maximize drug efficiency. Understanding the intracellular dynamics following the accumulation of nanoparticles in tissues, such as cellular uptake, distribution, metabolism, and pharmacological effects, is essential to maximize drug efficiency; however, it remains elusive. In this study, we tracked the intracellular behavior of nanoparticles of a prodrug, cholesterol-linked SN-38 (CLS), in a label-free manner using Raman and autofluorescence imaging. Bright autofluorescent spots were observed in cells treated with CLS nanoparticles, and the color tone of the bright spots changed with incubation time. The Raman spectra of the bright spots showed that the autofluorescence came from the nanoparticles taken into cells, and the change in color of bright spots indicated that CLS turned into SN-38 via hydrolysis inside a cell. It was found that most of the SN-38 were localized in small regions in the cytoplasm even after the conversion from CLS, and only a small amount of SN-38 was dissolved and migrated into other cytoplasm regions and the nucleus. The massive size growth of cells was observed within several tens of hours after the treatment with CLS nanoparticles. Moreover, Raman images of cells using the cytochrome c band and the fluorescence images of cells stained with JC-1 showed that cellular uptake of CLS nanoparticles efficiently caused mitochondrial damage. These results show that the combination of Raman and autofluorescence imaging can provide insight into the intracellular behavior of prodrug nanoparticles and the cell response and facilitate the development of nano-DDSs.
Keyphrases
- induced apoptosis
- label free
- cell cycle arrest
- adverse drug
- oxidative stress
- endoplasmic reticulum stress
- stem cells
- high resolution
- gene expression
- single cell
- bone marrow
- machine learning
- reactive oxygen species
- density functional theory
- cell therapy
- single molecule
- emergency department
- convolutional neural network
- drug induced
- mass spectrometry
- combination therapy
- photodynamic therapy