Fracture healing is a spatially controlled process involving crosstalk of multiple tissues. To precisely capture and understand molecular mechanism underlying impaired healing, there is a need to integrate spatially-resolved molecular analyses into preclinical fracture healing models. I will present our recent data obtained by spatial transcriptomics of musculoskeletal samples from fracture healing studies in mice. Subsequently, I will show how spatial transcriptomics can be integrated into multimodal approaches in preclinical fracture healing models. In combination with established in vivo imaging and emerging omics techniques, spatially-resolved analyses have the potential to elucidate the molecular mechanisms underlying impaired healing with optimization of treatments.

Despite the major advances in osteosynthesis after trauma, there remains a small proportion of patients (<10%) who exhibit delayed healing and/or eventual progression to non-union. While known risk factors exist, e.g. advanced age or diabetes, the exact molecular mechanism underlying the impaired healing is largely unknown and identifying which specific patient will develop healing complications is still not possible in clinical practice. The talk will cover our novel multimodal approaches in small animals, which have the potential to precisely capture and understand biological changes during fracture healing on an individual basis. Via combining emerging omics technologies with our recently developed femur defect loading equipment in mice, we provide a platform to precisely link mechanical and molecular analyses during fracture healing.