Molecular analysis of microbiota associated with peri-implant diseases

Objectives m of this study was to identify bacteria associated with peri-implant diseases using Denaturing Gradient Gel Electrophoresis (DGGE) as a method for microbiological assessment. s gival plaque samples along with essential patient information and clinical indices were taken from 22 subjects showing signs of peri-implant diseases. Bacteria were detected from extracted DNA either by species specific PCR, or by using PCR coupled with DGGE and subsequent sequencing of resolved and excised bands. s ther, approximately 26 different species were identified as components of peri-implant plaque, including non-culturable bacteria. Percentages of periodonto pathogenic bacterial species in plaque samples were: 82% of shallow pocket (<3 mm), 51% of moderate pocket depth, and 63% of deep pocket (>7.5 mm). A positive correlation was found between highly pathogenic bacteria and both Gingival Index score and pocket depth. sion n combination with sequence analysis is a comprehensive and sensitive microbiological method for detection and identification of multiple bacterial species in peri-implant disease conditions. This makes it a valuable microbiological diagnostic method to help the clinician to conduct a more accurate clinical diagnosis and to plan appropriate treatment for peri-implant diseases. on results, Fusobacterium and Prevotella species were most prevalent in early stages of disease whilst an increased diversity of species was present during more advanced stages of disease.