Multimodal Nanoprobe Based on Upconversion Nanoparticles for Monitoring Implanted Stem Cells in Bone Defect of Big Animal.
Dexin ChenDaqian WanRongying WangYanyue LiuKang SunXiaofeng TaoYang QuKerong DaiSongtao AiKe TaoPublished in: ACS biomaterials science & engineering (2018)
Monitoring implanted stem cells in bone regeneration and other cell therapies is of great importance to reveal the mechanism of tissue repair and to optimize clinical treatments. However, big challenge still remained in lacking an imaging nanoprobe. Herein, we designed surface modified upconversion nanoparticles (UCNs) with multimodal imaging capabilities of fluorescence, magnetic resonance imaging (MRI) and dual-energy computed tomography (CT). It was found that the UCNs can label stem cells in an efficient (over 200 pg/cell) and long-term (at least 14 days) manner, with almost no influence on the viability, cell cycle, apoptosis, and multilineage differentiation. Thus, clinical dual-energy CT and MRI were successfully applied to observe the migration of labeled cells on a bone-defect model of rabbit for at least 14 days. The results visualized the gathering of stem cells at the defect site of cortical bone, and the in vivo images were well-correlated with the in vitro fluorescence observation without extra staining. Therefore, a potentially translatable nanoprobe was developed for noninvasive and real-time tracking of cells, which may be meaningful for understanding the bone regeneration in clinic and shed light on the visualization of cells in other cell therapies.
Keyphrases
- dual energy
- computed tomography
- stem cells
- bone regeneration
- contrast enhanced
- magnetic resonance imaging
- cell cycle arrest
- image quality
- cell therapy
- induced apoptosis
- cell cycle
- single cell
- positron emission tomography
- endoplasmic reticulum stress
- cell death
- high resolution
- diffusion weighted imaging
- cell proliferation
- bone mineral density
- living cells
- magnetic resonance
- big data
- pain management
- machine learning
- primary care
- gene expression
- energy transfer
- postmenopausal women
- quantum dots
- bone marrow
- artificial intelligence
- convolutional neural network