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Journal of Education, Health and Sport

Humoral immunity indicators as prediction factors for dysbiosis development risk
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Humoral immunity indicators as prediction factors for dysbiosis development risk

Authors

  • O. Hryzevskyi Odessa National Medical University
  • V. Minukhin I.I. Mechnikov Institute of Microbiology and Immunology
  • S. Kobylnik Odessa National Medical University
  • O. Dzygal Odessa National Medical University
  • K. Shumilina Odessa National Medical University

DOI:

https://doi.org/10.12775/JEHS.2022.12.06.034

Keywords

normobiota, bacterial vaginosis, linear neural network model for determination of the dysbiosis severity, humoral factor of immune defence

Abstract

Diseases associated with bacterial vaginosis lead to chronic inflammatory processes of the internal genitals, the development of adhesions of the pelvic organs, infertility, spontaneous abortion at different times, as well as the development of malignant neoplasms. Vaginal microflora is an indicator of a woman's health which can form changing in hormonal and immunological status during various pathological conditions. The aim of the study was to create a system for prediction of the dysbiosis development according to the levels of nonspecific humoral factor of immune defence.

The study was performed in 298 women aged 16 to 64 years, 53 of whom were diagnosed with normocenosis, and 245 have dysbiosis. Women were divided into 3 groups according to age. Regression analysis was used.

Our previous researches have shown a correlation between increased levels of anti-inflammatory cytokines in the blood and vaginal secretions with the stage of dysbiosis. A logistic regression model was constructed during the study, which showed that the risk of developing dysbiosis in terms of normobiota increases with increasing levels of interleukin 2 in the blood, tumor necrosis factor α. Significant features of the three-factor model for predicting the risk of developing dysbiosis (IL2, IL4 and TNFα) were selected by the method of genetic algorithm. The levels of these indicators in the blood were related to the severity of dysbiosis according to the results of discriminant analysis. Thus, a linear neural network model was developed for determination of dysbiosis severity according to the levels of nonspecific humoral factors of immune defence such as the C4 component of the complement system and γ-interferon in vaginal secretions, as well as the amount of circulating immune complexes and tumor necrosis factor α in the blood. Kappa Cohen's agreement for this model on the training set was 0.87 (95% CI 0.82-0.91), and on the confirmatory set was 0.89 (95% CI 0.77-1.00). These indicators show the adequacy of the constructed model. The interface of the expert system for the dysbiosis severity prediction has been created.

References

Lusta M.V. Femoflore screen as a method of diagnosis of dysbiosis in the urogenital tract of women of reproductive age. HIST: All Ukrainian Medical Journal of Young Scientists. 2018; 20: 212 [in Ukrainian].

Van Nan. Prevention of a recurrent bacterial vaginosis on the basis of restoration of colonization resistance of lactobacilli by natural physical factors. Candidate’s thesis. 2017: 154 [in Russian].

Tertyshnyk A.O. The stage of vaginal microbiocenosis in patients with nonspecific chronic salpidogophore. Neonatology, Surgery and Perinatal Medicine. 2016; 6 (1) : 49-54 [in Ukrainian].

Malanchuk L.M, Malanchuk S.L., Nebeso T.A. Vaginal microbiota: How to restore balance with dysbiosis. Health of a Woman. 2016; 2: 107-111 [in Ukrainian].

Prilutskaya A.B., Kushch V.N., Lyanenko L.A. Current trends in the treatment of bacteriological disease. Health of Woman. 2016; 5 (111): 65-66 [in Russian].

Nechyporenko N.M. Microbiological biofilms in the pathogenesis of resistance and chronic infection of the urogenital tract. Dermatovenereology. Cosmetology. Sexual Pathology. 2016; 1-2 (3): 43-52 [in Ukrainian].

Tsmur O.V., Levchuk O.B., Liashyna K.V., Boiko N.V. Results of application of domestic synbiotics Bifitin for the treatment of bacterial vaginosis in pregnant women. Women’s Health. 2016; 6: 66-72 [in Ukrainian].

Nitsovych I.R., Semeniak A.V. Features of the course and treatment of bacterial vaginosis in pregnant women. Neonatology, Surgery and Perinatal Medicine. 2016; 6 (3) : 61-64 [in Ukrainian]

Ananyeva M.M. Etiological and pathogenetic aspects of nonspecific bacterial vaginosis. Zaporozhye Medical Journal. 2018; 20 (3): 432-436 [in Russian].

Hruzevskyi O.A. The state of the cytokine system in bacterial dysbiosis and bacterial vaginosis. Science Rise: Medical Science. 2020; 3: 50–56 [in Ukrainian].

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Published

2022-06-30

How to Cite

1.
HRYZEVSKYI, O., MINUKHIN, V., KOBYLNIK, S., DZYGAL, O. & SHUMILINA, K. Humoral immunity indicators as prediction factors for dysbiosis development risk. Journal of Education, Health and Sport [online]. 30 June 2022, T. 12, nr 6, s. 344–352. [accessed 29.3.2023]. DOI 10.12775/JEHS.2022.12.06.034.
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Issue

Vol. 12 No. 6 (2022)

Section

Research Articles

License

Copyright (c) 2022 O. Hryzevskyi, V. Minukhin, S. Kobylnik, O. Dzygal, K. Shumilina

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0

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