FIELD: medicine.
SUBSTANCE: invention relates to determination of the extent of periodontal resistance to infection by Porphyromonas gingivalis, Prevotella intermedia, and Tannerella forsythensis pathogenic bacteria due to Veillonella parvula periodontium protecting bacteria presence. Determination of periodontal V. parvula contamination is achieved by real-time PCR. The invention is a comprehensive test system for V. parvula determination, as well as a principle of threshold value application, which allows to establish the relative share of V. parvula in the periodontal bacterial consortium by normalization of a signal with specific primers to the common bacterial DNA signal, and distinguish the normal level of periodontal contamination (capable of restraining pathological periodontal pathogenic hypercolonizing by P. gingivalis, P. intermedia and T. forsythensis bacteria) from a dysbiotic shift, leading to periodontal damage or propensity to chronic generalized periodontitis (CGP) development. The invention can be used to assess the propensity of an individual patient to periodontal infection by P. gingivalis, P. intermedia and T. forsythensis pathogenic bacteria to identify causes of CGP in the individual patient, evaluation of risk of occurrence of this disease in future and treatment effectiveness for both aggressive, and chronic periodontitis. A new way of real time polymerase chain reaction results interpretation to determine a specific type of bacteria in periodontal washouts, including V. parvula, includes determination of a relative Ct value for the sample according to the following algorithm: the average Ct value of the total bacterial mass for the same sample series is subtracted from the absolute Ct value (software defined thermal cycler with optical detection) averaged by two or more independent determinations for the specific set of primers and probe, then the normal degree of periodontal V. parvula contamination is identified, provided that the relative Ct value does not exceed 15.
EFFECT: improved assessment accuracy.
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Authors
Dates
2017-05-12—Published
2015-11-03—Filed