Abstract

Medicine pays great attention to the study of microbial organizations on surfaces and in body cavities. In dentistry, it is scientifically proven that plaque microorganisms are the cause of the appearance and development of dental caries. Representatives of the microflora that causes dental caries belong to the normal flora of the oral cavity. Regarding the microbial beginning, a paradigm is currently being developed that this pathology arises due to a violation of the dynamic balance between the forces of opposing, opposing biological objects macroand microorganisms. Recently, studies have begun to address the problem of the symbiosis of microorganisms on biological objects in the form of biofilms. Depending on the tasks that researchers in this field set themselves, the attitude towards microorganisms changes from negative to exactly opposite. This situation makes it relevant to consider the relationship between representatives of the oral microflora. Understanding the interactions between them can help in choosing a therapeutic effect with optimal parameters (type, method, strength, duration). The purpose of this article is to consider the possibility of representing the relationship between the associates of an oral biotope using mathematical analysis. n general, when processing dynamic statistics use similar mathematical formulas. The formula of adhesion index Lactobacillus paracasei 1 is most adapted to the purposes of our research. We will replace in it PA on antagonistic activity, DK1 on number of microorganisms at lower KPU, DK2 on number of microorganisms at higher KPU, Dop on number of microorganisms at the minimum KPU possible for acceptance for the norm. In this case, we get an expression by which we can assess with a certain degree of accuracy the antagonistic activity of the microorganisms-associates of the oral habitat studied by the staff of UMSA. The calculation of the formula can be done using mathematical online calculators.
 The authors, on the basis of studies carried out at the bases of the departments of therapeutic dentistry, microbiology, virology and immunology (UMSA, Poltava), as well as the methods of mathematical accounting used in medicine in such studies, put forward their own approach to accounting for the relationship between the associates of oral biocenosis. One type of symbiotic relationship is antagonism. The antagonistic activity of representatives of the oral biotope was taken as the basis for determining intermicrobial interactions: corynebacteria (Corinebacterium), Candida fungi, hemolytic streptococci (S. γ-haemolyticus, to which S. Mutans belongs).
 The determination of the antagonistic activity of the representatives of the oral biotope was carried out at different intensities of the carious process. It showed that in most cases this is possible. Symbiotic relationships within the oral biocenosis can manifest as antagonism, as indicated by the antagonistic activity index, which in most cases can be calculated. Antagonistic activity can be determined more precisely, for which it is necessary to choose the most suitable methods.
 Populations of bacteria, plants, animals any living species, getting into favorable conditions, increase their numbers exponentially. After some time, due to the excessive size of the population, the habitat is depleted and destroyed. There is an ecological crisis, during which the population is rapidly declining to a level lower than the degraded capacity of the environment. There is a collapse. If during the collapse of the environment is gradually restored, then the population increases. It is in the stabilization phase, and its number will fluctuate at a level set by the capacity of the environment. If not, the population is extinct.
 The antagonistic activity of the biocenosis associates can serve as an indicator of their transition to the “conditionally pathogenic pathogenic” line. An insignificant increase in S. γ-haemolyticus colonies with an increase in the intensity of caries forces us to pay more attention to the study of the cariogenic representative of this group of microorganisms.
 The data on antagonistic activity can be used in carrying out hygienic measures and in the use of methods of influencing the oral microbiocenosis in the treatment of caries. These data on antagonistic activity may have predictive value.

Highlights

  • The authors, on the basis of studies carried out at the bases of the departments of therapeutic dentistry, microbiology, virology and immunology (UMSA, Poltava), as well as the methods of mathematical accounting used in medicine in such studies, put forward their own approach to accounting for the relationship between the associates of oral biocenosis

  • it is scientifically proven that plaque microorganisms are the cause of the appearance

  • Representatives of the microflora that causes dental caries belong to the normal flora of the oral cavity

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Summary

АНТАГОНІСТИЧНА АКТИВНІСТЬ ДЕЯКИХ ПРЕДСТАВНИКІВ ОРАЛЬНОГО БІОЦЕНОЗУ

Робота є фрагментом НДР кафедри терапевтичної стоматології ПДМУ «Розробка нових підходів до діагностики, лікування та профілактики стоматологічних захворювань у пацієнтів із порушенням опорно-рухового апарату» (державний реєстраційний No 0112U004469). Представники мікрофлори, що викликає карієс зубів, належать до звичайної флори ротової порожнини [8; 9]. У наш час розробляється парадигма про те, що зазначена патологія виникає через порушення динамічної рівноваги між силами протиборчих, протидіючих один одному біологічних об'єктів – макро- і мікроорганізмів [10]. Останнім часом дослідження торкаються проблеми симбіозу мікроорганізмів на біологічних об'єктах у вигляді біоплівок. Такий стан актуалізує розгляд взаємин між представниками оральної мікрофлори. Розуміння взаємодій між ними може допомогти у виборі терапевтичної дії з оптимальними параметрами (вид, метод, сила, тривалість). Матеріалами служили дослідження кафедри терапевтичної стоматології та кафедри мікробіології, вірусології та імунології ПДМУ, джерела літератури, пов'язані з дослідженням оральної мікрофлори. Методи: бібліографічний аналіз, екстраполяція отриманих даних про взаємодії в оральному біоценозі, математичні методи, он-лайн калькулятор

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