BMP-2 Long-Term Stimulation of Human Pre-Osteoblasts Induces Osteogenic Differentiation and Promotes Transdifferentiation and Bone Remodeling Processes.
Lena-Christin IngwersenMarcus FrankHendrik NaujokatKlaas LogerRainer BaderAnika Jonitz-HeinckePublished in: International journal of molecular sciences (2022)
Bone morphogenic protein (BMP-) 2 plays an important role in the regeneration of bone defects by promoting osteogenic differentiation. However, several animal studies have reported adverse side effects of BMP-2, including osteoclast activation, induction of peroxisome proliferator- activated receptor gamma (PPARG)expression, and inflammation. High BMP-2 concentrations are thought to be responsible for these side effects. For this reason, primary pre-osteoblasts were exposed to lower BMP-2 concentrations (1 and 2 µg/mL). Long-term exposure (up to 28 days) was performed to investigate whether this stimulation protocol may promote osteogenic differentiation without causing the side effects mentioned above. The results showed that BMP-2 treatment for 14 or 28 days resulted in increased osteogenesis, through an increase in runt-related transcription factor 2, osterix, alkaline phosphatase, and integrin-binding sialoprotein expression. However, an increase in tumor necrosis factor alpha and receptor activator of nuclear factor kappa-Β ligand protein levels was observed after BMP-2 exposure, indicating also an increased potential for osteoclast activation by osteoblasts. Additionally, morphological changes like intracellular, filled vacuoles could be detected. Enhanced PPARG and perilipin 1 mRNA transcripts and lipid droplets indicated an induced adipogenic differentiation. Overall, the data demonstrate that long-term BMP-2 exposure promotes not only osteogenic differentiation but also adipogenesis and regulates mediators involved in osteoclast activation in vitro.
Keyphrases
- mesenchymal stem cells
- bone regeneration
- nuclear factor
- binding protein
- transcription factor
- bone marrow
- bone loss
- toll like receptor
- poor prognosis
- stem cells
- bone mineral density
- oxidative stress
- randomized controlled trial
- endothelial cells
- machine learning
- rheumatoid arthritis
- skeletal muscle
- amino acid
- small molecule
- risk assessment
- diabetic rats
- immune response
- artificial intelligence
- dna binding
- protein protein
- deep learning
- human health
- induced pluripotent stem cells
- data analysis
- wound healing