{Reference Type}: Journal Article
{Title}: Experimental models for peri-implant diseases: a narrative review.
{Author}: Yin D;Zhan S;Liu Y;Yan L;Shi B;Wang X;Zhang S;
{Journal}: Clin Oral Investig
{Volume}: 28
{Issue}: 7
{Year}: 2024 Jun 17
{Factor}: 3.606
{DOI}: 10.1007/s00784-024-05755-7
{Abstract}: OBJECTIVE: Peri-implant diseases, being the most common implant-related complications, significantly impact the normal functioning and longevity of implants. Experimental models play a crucial role in discovering potential therapeutic approaches and elucidating the mechanisms of disease progression in peri-implant diseases. This narrative review comprehensively examines animal models and common modeling methods employed in peri-implant disease research and innovatively summarizes the in vitro models of peri-implant diseases.
METHODS: Articles published between 2015 and 2023 were retrieved from PubMed/Medline, Web of Science, and Embase. All studies focusing on experimental models of peri-implant diseases were included and carefully evaluated.
RESULTS: Various experimental models of peri-implantitis have different applications and advantages. The dog model is currently the most widely utilized animal model in peri-implant disease research, while rodent models have unique advantages in gene knockout and systemic disease induction. In vitro models of peri-implant diseases are also continuously evolving to meet different experimental purposes.
CONCLUSIONS: The utilization of experimental models helps simplify experiments, save time and resources, and promote advances in peri-implant disease research. Animal models have been proven valuable in the early stages of drug development, while technological advancements have brought about more predictive and relevant in vitro models.
CONCLUSIONS: This review provides clear and comprehensive model selection strategies for researchers in the field of peri-implant diseases, thereby enhancing understanding of disease pathogenesis and providing possibilities for developing new treatment strategies.