Resveratrol and Celastrol Loaded Collagen Dental Implants Regulate Periodontal Ligament Fibroblast Growth and Osteoclastogenesis of Bone Marrow Macrophages.
Ruijie WangBin BaoChunling BaoShujun WangSaeed Ur RahmanChunyu HouJeevithan ElangoWenhui WuPublished in: Chemistry & biodiversity (2020)
Collagen is widely used for dental therapy in several ways such as films, 3D matrix, and composites, besides traditional Chinese medicine (TCM), has been used in tissue regeneration and wound healing application for centuries. Hence, the present study was targeted for the first time to fabricate collagen film with TCM such as resveratrol and celastrol in order to investigate the human periodontal ligament fibroblasts (HPLF) growth and bone marrow macrophages (BMM) derived osteoclastogenesis. Further, the physicochemical, mechanical and biological activities of collagen-TCM films crosslinked by glycerol and EDC-NHS (1-ethyl-3-(3-dimethylaminopropyl)carbodiimide-N-hydroxysulfosuccinimide) were investigated. Collagen film characterization was significantly regulated by the nature of plasticizers like hydrophobic and degree of polarity. Interestingly, the collagen film's denaturation temperature was increased by EDC-NHS than glycerol. FT-IR data confirmed the functional group changes due to chemical interaction of collagen with TCM. Morphological changes of HPLF cells cultured in control and collagen films were observed by SEM. Importantly, the addition of resveratrol upregulated the proliferation of HPLF cells, while osteoclastogenesis of BMM cells treated with mCSF-RANKL was significantly downregulated by celastrol. Accordingly, the collagen-TCM film could be an interesting material for dental regeneration, and especially it is a therapeutic target to restrain the elevated bone resorption during osteoporosis.
Keyphrases
- wound healing
- bone marrow
- induced apoptosis
- room temperature
- tissue engineering
- stem cells
- cell cycle arrest
- bone loss
- reduced graphene oxide
- mesenchymal stem cells
- endothelial cells
- signaling pathway
- patient safety
- postmenopausal women
- cell death
- cell proliferation
- mass spectrometry
- big data
- inflammatory response
- machine learning
- high resolution
- electronic health record
- artificial intelligence
- toll like receptor
- cancer therapy
- lps induced
- extracellular matrix
- deep learning
- smoking cessation
- induced pluripotent stem cells
- atomic force microscopy