Bone Marrow Stromal Cells Sorted by Semiconducting Polymer Nanodots for Bone Repair.
Ziyan WangFeixue MiJinchen LiDandan ChenMinmin LinXinyu WangSiying WuChangfeng WuChao LiuPublished in: ACS biomaterials science & engineering (2023)
The use of bone marrow stromal cells (BMSCs) for bone defect repair has shown great promise due to their differentiation potential. However, isolating the BMSCs from various cell types within the bone marrow remains challenging. To tackle this issue, we utilized semiconducting polymer dots (Pdots) as markers to select the BMSCs within a specific time frame. The therapeutic efficacy of the obtained Pdot-labeled BMSCs was assessed in a bone defect model. Initially, we evaluated the binding capacity of the Pdots with four different types of cells present in the bone marrow including BMSCs, osteoblasts, macrophages, and vascular endothelial cells, in vitro. Notably, BMSCs showed the most rapid uptake of the Pdots, being labeled within only one h of coculture, while other cells took four h to become labeled. Moreover, by colocalizing the Pdots with Prrx1, Sca-1, OSX, F480, and CD105 in the bone marrow cells of monocortical tibial defect (MTD) mice in vivo, we determined the proportions of BMSCs, macrophages, and vascular endothelial cells among all labeled cells from 1 to 8 h after the Pdots injection. It was found that BMSCs have the highest proportion (92%) among all labeled cells extracted after 1 h of Pdots injection. The therapeutic efficacy of the obtained Pdots-labeled BMSCs (1 h) was assessed in a bone defect model. Results showed that the new bone accrual was significantly increased in the treatment of Pdots-labeled BMSCs compared to the bone marrow cell-treated group. Our study revealed that BMSCs screened by the Pdots could improve bone defect repair, suggesting a promising application of the Pdots in bone healing.
Keyphrases
- bone marrow
- bone mineral density
- induced apoptosis
- mesenchymal stem cells
- pet imaging
- endothelial cells
- cell cycle arrest
- bone loss
- soft tissue
- bone regeneration
- single cell
- postmenopausal women
- stem cells
- machine learning
- cell death
- cell proliferation
- metabolic syndrome
- body composition
- insulin resistance
- ultrasound guided
- risk assessment
- climate change
- big data
- high glucose
- pi k akt
- quantum dots