The whole transcriptomic analysis of local bone tissue after fracture

Abstract

Abstract Fracture healing is a complex physiological process involving multiple cells and signaling pathways, the potential molecular mechanisms and biological process are still unclear and need further exploration. In this study, transcriptome sequencing technology was used to detect and analyze the changes in transcriptome of the local injury tissue after fracture. Differentially expressed genes (DEGs) with the high degree were analyzed. Our results showed that different stages of fracture healing had different focuses, some important biological processes, such as the inflammatory response, mainly occurred on the 3rd day after fracture. Besides, we found that the 3rd day after fracture was a key point of transcriptome change, and neural regulation played a significant role in fracture healing at this time, and inflammatory stimulation might be an important factor affecting neural regulation after fracture. In conclusion, our research results identify some important genes and pathways in the process of fracture healing, and summarize the main characteristics of transcriptome changes in fractures. This laid the foundation for a deeper understanding of the relation between molecular mechanisms and biological processes involved in fracture healing. By identifying the specific time points at which various cellular events occur during the healing process, researchers can gain insights into the complex interplay between cells, signaling pathways, and extracellular matrix components that is required for successful bone healing. This knowledge can inform the development of new therapies and interventions to improve fracture healing outcomes and ultimately enhance the quality of life for patients affected by bone fractures.