Phase contrast microscopy of microbial aggregates in the gingival sulcus of Macaca mulatta. Subgingival plaque bacteria in macaca mulatta
| Autor: | R. Murphy, T. Sabet, A. W. Anderson, J. Crawford, Penelope J. Leggott, I. Punwani |
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| Rok vydání: | 1983 |
| Předmět: |
Pathology
medicine.medical_specialty Future studies Bacteria Phase contrast microscopy Dental Plaque Index Dental Plaque Gingiva Biology biology.organism_classification Macaca mulatta law.invention Periodontal disease law Oral microbiology medicine Periodontics Animals Microscopy Phase-Contrast Gingival sulcus Periodontal Index Subgingival plaque Gingival indices Periodontal Diseases |
| Zdroj: | Journal of clinical periodontology. 10(4) |
| ISSN: | 0303-6979 |
| Popis: | The objective of this study was to study the relationship of microbial aggregates in the subgingival crevice to changes m periodontal health in Macaca mulatta. The sample included 68 oral sites from 17 Rhesus monkeys of various ages. The periodontal health of each site was evaluated using Plaque and Gingival Indices and crevice depth measurement. The subgingival plaque samples were examined by phase contrast microscopy and recorded on 16 mm film. A Microbial Index was developed based on a qualitative estimate of the numbers of organisms, morphology of predominant organisms, and the presence or absence of motility. The Microbial Index was demonstrated to be simple in use and highly reproducible. The findings indicate that changes in the Microbial Index are consistent with tissue changes seen in the periodontal status in M. mulatta. From this preliminary study, the oral flora of adult M. mulatta appears to have sufficient similarities to human oral flora to be used as a microbial model for experimental periodontal disease research. Future studies to refine and confirm the validity of the Microbial Index are warranted. It may prove to be a useful tool to monitor the effect of various treatment modalities on the periodontal flora and to determine the presence or absence of active disease. |
| Databáze: | OpenAIRE |
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