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A Meta-Analysis of Microbiota implicated in peri-implantitis
Han-gyoul Cho,Ran-Yi Jin,Seung-Ho Ohk 대한구강생물학회 2023 International Journal of Oral Biology Vol.48 No.3
Peri-implantitis is the disease of the surrounding tissue of the dental implants, which accompanies the destruction of both soft and hard tissues. It is also pointed out as the major problem of the late failure of the dental implants. As the peri-implantitis is caused by numeric microorganisms including obligate anaerobes, there are many microbiologic studies about this disease. This study is about the comparison analysis between the biofilm of healthy implants and peri-implantitis. This study could state clinical importance and suggest some theoretical evidence in making treatment protocol of peri-implantitis such as the antibiotic therapy. 2015 studies have collected by searching items in National Library of Medicine, including keywords such as ‘peri-implantitis’, ‘microbiota’, ‘microbiome’. Then 62 studies have screened which are judged to be eligible for analysis. Only 16 studies have qualified the all criteria: ‘Using PCR methods for the microorganism detection’, ‘Suggesting quantified results’, ‘Stating obvious clinical diagnosis criteria (‘Bleeding on probing’, ‘Probing pocket depth’ ‘Suppuration’ and ‘Radiographic bone loss’)’. 8 studies were able to be included in meta-analysis, because the other 8 studies had special matters. Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Aggregatibacter actinomycetemcomitans, Prevotella intermedia, Epstein-Barr virus are the microbiologic subjects of analysis. Odds-ratio between the healthy implants and peri-implantitis were calculated in each microorganism for comparing two groups, and the forest plots were suggested as the visual materials. P. gingivalis (1.392<OR<2.841), T. forsythia (1.345<OR<3.221), T. denticola (2.180<OR<5.150), A. actinomycetemcomitans (1.975<OR<6.456), P. intermedia (1.245<OR<3.612), Epstein-Barr virus (1.995<OR<9.383): All of the species showed that their 95% confidence interval of odds-ratio are higher than 1, stating that all these 6 species were detected more frequently in peri-implantitis compared to healthy-implants. Meanwhile, other species such as Fusobacterium nucleatum, Staphylococcus aureus were not able to include in meta-analysis because the number of the studies were insufficient.
Trends in the rapid detection of infective oral diseases
Ran-Yi Jin,Han-gyoul Cho,Seung-Ho Ohk 대한구강생물학회 2023 International Journal of Oral Biology Vol.48 No.2
The rapid detection of bacteria in the oral cavity, its species identification, and bacterial count determination are important to diagnose oral diseases caused by pathogenic bacteria. The existing clinical microbial diagnosis methods are time-consuming as they involve observing patients’ samples under a microscope or culturing and confirming bacteria using polymerase chain reaction (PCR) kits, making the process complex. Therefore, it is required to analyze the development status of substances and systems that can rapidly detect and analyze pathogenic microorganisms in the oral cavity. With research advancements, a close relationship between oral and systemic diseases has been identified, making it crucial to identify the changes in the oral cavity bacterial composition. Additionally, an early and accurate diagnosis is essential for better prognosis in periodontal disease. However, most periodontal diseasecausing pathogens are anaerobic bacteria, which are difficult to identify using conventional bacterial culture methods. Further, the existing PCR method takes a long time to detect and involves complicated stages. Therefore, to address these challenges, the concept of point-of-care (PoC) has emerged, leading to the study and implementation of various chair-side test methods. This study aims to investigate the different PoC diagnostic methods introduced thus far for identifying pathogenic microorganisms in the oral cavity. These are classified into three categories: 1) microbiological tests, 2) microchemical tests, and 3) genetic tests. The microbiological tests are used to determine the presence or absence of representative causative bacteria of periodontal diseases, such as A. actinomycetemcomitans , P. gingivalis , P. intermedia , and T. denticola . However, the quantitative analysis remains impossible, and detecting pathogens other than the specific ones is challenging. The microchemical tests determine the activity of inflammation or disease by measuring the levels of biomarkers present in the oral cavity. Although this diagnostic method is based on increase in the specific biomarkers proportional to inflammation or disease progression in the oral cavity, its commercialization is limited due to low sensitivity and specificity. The genetic tests are based on the concept that differences in disease vulnerability and treatment response are caused by the patient’s DNA predisposition. Specifically, the IL-1 gene is used in such tests. PoC diagnostic methods developed to date serve as supplementary diagnostic methods and tools for patient education, in addition to existing diagnostic methods, although they have limitations in diagnosing oral diseases alone. Research on various PoC test methods that can analyze and manage the oral cavity bacterial composition is expected to become more active, aligning with the shift from treatmentoriented to prevention-oriented approaches in healthcare.