COMPARISON OF PCR DIAGNOSTIC METHOD AND MASS SPECTROMETRY OF MICROBIAL MARKERS METHOD AS APPLIED TO THE EVALUATION OF ORAL MICROBIOTA

Rapid informative methods for assessing the species and quantitative composition of the microflora of the periodontal and oropharyngeal covering tissues are necessary for operative diagnostics, including those of the dentofacial system. The use of classical bacteriological methods, including seeding, incubation, counting and identification of microorganisms takes up to 5 days, resulting in a significant delay in obtaining the necessary information, which makes it difficult to carry out operative treatment measures. Therefore, the search for means and methods of operative microbiological control is urgent. The present work is devoted to substantiation of MSMM (mass spectrometry of microbial markers) technology application as a means of microbiological control of periodontal and other oropharyngeal biotopes.

Strel’nikova N.V., Antonova A.A., Shapovalenko E.S., Kislaya A.I., Sargsyan A.G., Shchegol’skaya O.V. et al. Role of microbiological identification of opportunistic microorganisms of the tongue mucosa in chronic periodontitis. Actual problems of pediatric dentistry and orthodontics. Collection of scientific articles of the IX regional scientific and practical conference with international participation on pediatric dentistry. Khabarovsk; 2019:175-83. (in Russian)

Bernabe E., Marcenes W., Hernandez C.R., Bailey J., Abreu L.G., Alipour S. et al. Global, Regional, and National Levels and Trends in Burden of Oral Conditions from 1990 to 2017: A Systematic Analysis for the Global Burden of Disease 2017 Study. Journal of Dental Research. 2020; 99(4):362-73.

Gizinger O.A., Shchetinin S.A. Monitoring of the microflora of the surface of the pharyngeal tonsil in children with chronic adenoiditis living in the territory of Chelyabinsk. Vestnik otorinolaringologii. 2016; 81(1): 33-6. (in Russian)

Zelenova E.G., Zaslavskaya M.I., Salina E.V., Rassanov S.P. Oral microflora: norm and pathology. Nizhniy Novgorod: Izdatel’stvo NGMA; 2004. (in Russian)

Il’in V.K., Shumilina G.A., Solov’eva Z.O., Nosovskiy A.M., Kaminskaya E.V. Some indicators of oral and dental health of astronauts during flights on the international space station. Aviakosmicheskaya i ekologicheskaya meditsina. 2016; 50(6): 25-30. (in Russian)

Pravosudova N.A., Mel’nikov V.L. Oral Microbiology. Textbook for students of medical universities [Mikrobiologiya polosti rta. Uchebno-metodicheskoe posobie]. Penza: Penzenskiy gosudarstvennyi universitet; 2013. (in Russian)

Cafiero C., Matarasso S. Predictive, preventive, personalised and participatory periodontology: ‘the 5Ps age’ has already started. EPMA Journal. 2013; 4(1): 1-29.

Chervinets V.M., Chervinets Yu.V., Leont’eva A.V., Kozlova E.A., Stulov N.M., Belyaev V.S. et al. Oral microbiome of periodontitis patients, adhesive and biofilm-forming properties. Klinicheskaya Laboratornaya Diagnostika. 2021; 66(1): 45-51. (in Russian)

Ushakov R.V., Tsarev V.N. Antimicrobial therapy in dentistry. Principles and algorithms. Moscow: Prakticheskaya meditsina; 2019. (in Russian)

Sampaio-Maia B., Caldas I.M., Pereira M.L., Pérez-Mongiovi D., Araujo R. The oral microbiome in health and its implication in oral and systemic diseases. Advances in applied microbiology. 2016; 97: 171-210.

Mirsaeva F.Z., Khanov T.V., Kuznetsova T.N., Buylova O.V. Species composition of microflora in the contents of periodontal pockets in exacerbation of chronic generalized periodontitis. Problemy stomatologii. 2018; 14(3): 29-36. (in Russian)

Gladin D.P., Korolyuk A.M., Drobot I.V., Kozlova N.S., Annenkova I.D. Polymerase chain reaction in microbiology. Rossiyskie biomeditsinskie issledovaniya. 2021; 6(3): 36-46. (in Russian)

Godkov M.A., Osipov G.A., Fedosova N.F., Lyadov K.V. Possibilities of mass spectrometry of microbial markers in laboratory monitoring of dysbiosis and infections Spravochnik zaveduyushchego KDL. 2011; 7: 35-44. (in Russian)

Ilyin V.K., Moukhamedieva L.N., Osipov G.A., Batov A.S., Solo­viova Z.O., Mardanov R.M. et al. Non-cultural methods of human microflora evaluation for the benefit of crew medical control in confined habitat. Acta Astronautica. 2011; 68(9-10): 1529-36.

Adeishvili P.S., Polesko I.V., Osipov G.A., Fedosova N.F., Guseva N.A., Koltunov I.E. et al. Study of oropharyngeal microbiocenosis by mass spectrometry of microbial markers in children with infectious mononucleosis. Detskie infektsii. 2012; 11(1): 12-6. (in Russian)

Vlasov A.A. Salikova S.P., Grinevich V.B., Bystrova O.V., Osipov G.A., Meshkova M.E. Gut microbiota and systemic inflammation in patients with chronic heart failure. Kardiologiya. 2020; 60(5): 74-82. (in Russian)

Krymtseva T.A., Osipov G.A., Boyko N.B., Sokolov Ya.A., Demina A.M., Radyushina T.V. et al. Minor fatty acids in urogenital body fluids and their significance in the diagnosis of inflammatory processes. Zhurnal mikrobiologii, epidemiologii i immunobiologii. 2003; (2): 92-101. (in Russian)

Vinnitskaya E.V., Lazebnik L.B., Osipov G.A., Drozdov V.N. Spontaneous bacterial peritonitis and systemic inflammatory response in patients with liver cirrhosis. Terapevticheskiy arkhiv. 2011; 83(2): 47-52. (in Russian)

Avramov A.A., Lovtsevich N.V., Osipov G.A. Monitoring of infectious and inflammatory process in intensive care patients by mass spectrometry of microbial markers in blood and cerebrospinal fluid. Poliklinika. 2019; (4-1): 31-9. (in Russian)

Fedorova E.P.,Osipov G.A., Istomin O.A., Zakharov D.D., Bystrova O.V. Establishment of the expanded composition of the endometrial microbial community in pathologies and significance of the data in obstetrician-gynecologist practice. Poliklinika. 2021;(3): 34-9. (in Russian)

Osipov G.A., Bystrova O.V., Lovtsevich S.M. Modern methodological approach to noninvasive assessment of human microecological status by mass spectrometry of microbial markers. A comprehensive approach to the correction of microecological status disorders. Terapevt. 2020; (10): 53-9. (in Russian)

Fagerland M.W., Lydersen S., Laake P. The McNemar test for binary matched-pairs data: mid-p and asymptotic are better than exact conditional. BMC medical research methodology. 2013; 13(1): 1-8.