Machine learning enabled design features of antimicrobial peptides selectively targeting peri-implant disease progression.

ABSTRACT: Peri-implantitis is a complex infectious disease that manifests as progressive loss of alveolar bone around the dental implants and hyper-inflammation associated with microbial dysbiosis. Using antibiotics in treating peri-implantitis is controversial because of antibiotic resistance threats, the non-selective suppression of pathogens and commensals within the microbial community, and potentially serious systemic sequelae. Therefore, conventional treatment for peri-implantitis comprises mechanical debridement by nonsurgical or surgical approaches with adjunct local microbicidal agents. Consequently, current treatment options may not prevent relapses, as the pathogens either remain unaffected or quickly re-emerge after treatment. Successful mitigation of disease progression in peri-implanti

SUBMITTER: Boone K 

PROVIDER: S-EPMC11155447 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature