Assessment of suprahyoid muscle myodynamic balance and oral humoral immunity in children with physiologic and distal occlusion

Relevance. The possibility to detect chewing muscle myodynamic imbalance based on the oral humoral immunity parameters is of theoretical and practical interest for planning the treatment duration and predicting the treatment results. Purpose. To evaluate the detection of suprahyoid muscle myodynamic imbalance based on the oral humoral immunity parameters in children with physiologic and distal occlusion.

Materials and methods. The study involved 131 patients aged 6 to 12 years from the Children's Clinical Dental Clinic No. 2 in Voronezh: 94 children with distal occlusion and 37 children with physiologic occlusion. The study determined the average amplitude of suprahyoid muscle bioelectric activity. We quantified the total oral fluid IgG, IgA, IgM and sIgA to evaluate the oral humoral immunity.

Results. In children with physiologic occlusion, it is possible to predict myodynamic imbalance of suprahyoid muscles at sIgA equal or higher than 34.060 pg/ml, at IgG value equal or more than 27.300 pg/ml. In the group of patients with distal occlusion, the assessment of sIgA, IgG, IgA and IgM did not detect statistically significant differences (p = 0.182; p = 0,921; p = 0,087; p = 0.226, respectively) between the patients with normal and impaired myodynamic balance of suprahyoid muscles.

Conclusion. In the group of children with physiologic occlusion, sIgA and IgG have the prognostic potential for the early diagnosis of the suprahyoid muscle myodynamic imbalance development, which is prognostically significant for the detection and prevention of hyoid muscle dysfunction development. The study did not reveal significant predictors among sIgA, IgG, IgA, IgM for the hyoid muscle myodynamic imbalance detection in the group with distal occlusion.

1. Vasileva NA, Bulgakova AI, Imelbaeva EV, Vasilev EA. Evaluation of local immunity of morbidity of the mutual in the traditional therapy of inflammatory diseases of the parodont. Actual problems in dentistry. 2018;14(3):11-16. (In Russ.) doi.org/10.18481/2077-7566-2018-14-3-11-16

2. Keaney LC, Kilding AE, Merien F, Shaw DM, Borot-kanics R, Dulson DK. Household illness is the strongest predictor of upper respiratory tract symptom risk in elite rugby union players. Journal of Science and Medicine in Sport. 2021;24(5):430-434. doi: 10.1016/j.jsams.2020.10.011

3. Gulenko OV, Khagurova SB. Condition of humoral immunity of oral cavity in children with psychoneurological disorders. Journal of VolgSMU. 2017;63(3):41-4. (In Russ.) doi: 10.19163/1994-9480-2017-3(63)-41-44

4. Diesch T, Filippi C, Fritschi N, Filippi A, Ritz N. Cytokines in saliva as biomarkers of oral and systemic oncological or infectious diseases: A systematic review. Cytokine. 2021;143:155506. doi: 10.1016/j.cyto.2021.155506

5. Schulte K, Blakeslee SB, Stritter W, Eidenschink C, Gundling PW, Baumann A, et al. The effect of Kneipp treatment hydrotherapy on secretory IgA in young children: A controlled, non-randomized clinical pilot study. Complement Ther Med. 2021;57:102637. doi: 10.1016/j.ctim.2020.102637

6. Jha A, Singh R, Jha S, Singh S, Chawla R, Prakash A. Comparative evaluation of salivary immunoglobulin a levels between pedodontic subjects. J Family Med Prim Care. 2020;9(4):2052-2055. doi: 10.4103/jfmpc.jfmpc_967_19

7. ing D, Hao J, Shen Y, Tang G, Lei L, Zhao Z. Effect of fixed orthodontic treatment on oral microbiota and salivary proteins. Exp Ther Med. 2019;17(5):4237-4243. doi: 10.3892/etm.2019.7401

8. Khudoroshkov YuG, Ishmurzin PV, Danilova MA, Rogozhnikov GI. Prognosis of pterygoid muscles tonus in occlusion abnormalities associated with temporomandibular joint disfunction. Russian journal of biome-chanics. 2017;(4):339-50. (In Russ.). doi: 10.15593/RZhBiomeh/2017.4.01

9. Ignateva LA, Khamitova NK. Impact of myofunctional disorders of the maxillofacial area on the formation of occlusion pathology in children. Kazan medical journal. 2019;100(3):422-425. (In Russ.). doi: 10.17816/KMJ2019-422

10. Kosolapova IV, Dorohov EV, Kovalenko ME. Development of prognostic models for calculation of asymmetry coefficient of chewing muscle tone at various stages of orthodontic correction. Sistemnyj analiz i upravlenie v biomedicinskih sistemah. 2021;20(4):74-79. (In Russ.). doi: 10.36622/VSTU.2021.20.4.011

11. Persin LS, Sharov MN. Dentistry. Neurotomatology. Dysfunctions of the denture system: textbook GEOTARMedia. Moscow; 2013:360 p. (In Russ.) Available from: https://www.rosmedlib.ru/book/ISBN9785970427286.html

12. Belyaeva SV, Stashkevich DS, Suslova TA, Burmistrova AL. Development of an immunogenetic risk model for pulmonary tuberculosis by logistic regression. Modern problems of science and education. 2020; (5):98. (In Russ.). doi: 10.17513/spno.30130

13. Rizaev JA, Nazarova NSh. The state of local immunity of the oral cavity in chronic generalized periodontitis. Vestnik nauki i obrazovania. 2020;92(14):35-40. (In Russ.). doi: 10.24411/2312-8089-2020-11410

14. Springham M, Williams S, Waldron M, Strudwick AJ, Mclellan C, Newton RU. Salivary Immunoendocrine and Selfreport Monitoring Profiles across an Elite-Level Professional Football Season. Med Sci Sports Exerc. 2021;53(5):918-927. doi: 10.1249/MSS.0000000000002553.

15. Riis JL, Bryce CI, Stebbins JL, Granger DA. Salivary total Immunoglobulin G as a surrogate marker of oral immune activity in salivary bioscience research. Brain, Behav Immun - Heal. 2020;1:100014. doi: 10.1016/j.bbih.2019.100014 16.

16. Ostrovskij OV, Hramov VA, Popova TA. Oral Biochemistry: Tutorial. Publishing house Volga State Medical University. 2010:184 p. (In Russ.). Available from: https://lib.volgmed.ru/index.php?id=457