This study aims to explore the dynamic changes in different cell types and their molecular regulatory mechanisms during the healing process of peri-implant soft tissues, using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST). The research will focus specifically on the healing of soft tissues around dental implants in human subjects with the use of a healing abutment. Participants in the healing abutment group will have a micro healing abutment placed immediately after implant placement. Tissue samples will be collected at various time points (Day 4, Day 14, and Day 70) to construct a detailed single-cell map of the healing process. Spatial transcriptomics will be integrated to preserve tissue architecture, enabling the identification of the spatial distribution of different cell types and their interactions within the peri-implant microenvironment. This combined approach will allow for a comprehensive characterization of cellular interactions, spatial gene expression patterns, and regulatory networks specific to healing abutments. The goal is to identify key regulatory factors that could improve peri-implant soft tissue healing and help prevent peri-implantitis.
Age range
18 Years – 65 Years
Sex
ALL
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Primary Outcome 1: Differentially Expressed Genes (DEGs) in Peri-implant Soft Tissues
Timeframe: Day 4, Week 2, Week 4 and Week 8-10 post-implantation.
Cell Type Composition in Peri-implant Soft Tissues
Timeframe: Day 4, Week 2, Week 4, and Week 8-10 post-implantation.
Enriched Biological Pathways
Timeframe: Day 4, Week 2, Week 4, and Week 8-10 post-implantation
Ligand-Receptor Interaction Strength
Timeframe: Day 4, Week 2, Week 4, and Week 8-10 post-implantation
Spatial Gene Expression Patterns
Timeframe: Day 4, Week 2, Week 4 and Week 8-10 post-implantation.