ROLE OF CYTOKINE-MEDIATED MECHANISMS IN DEVELOPMENT OF POST-TRAUMATIC MANDIBULAR OSTEOMYELITIS
https://doi.org/10.15789/1563-0625-2019-5-953-958
Abstract
Osteomyelitis of the lower jaw is one of the urgent problems of modern medicine. There are many reasons for the evolvement of purulent necrotic processes of the jaw bones, including the role of disorders in the systems of innate and adaptive immunity. The aim of the study was to determine the content of TNFα, IL-17, IL-4 in serum and mixed saliva in patients with uncomplicated mandibular fractures and posttraumatic osteomyelitis to determine the possibility of using these indicators for early diagnosis of posttraumatic complications. The article presents the results of a study of tumor necrosis factor α (TNFα), interleukin-17 (IL-17) and interleukin-4 (IL-4) cytokines in serum and mixed saliva in patients with uncomplicated mandibular fracture and post-traumatic osteomyelitis at the first and tenth days of observation. By means of single-layer neural networks, binary classifiers were built, allowing patients to be stratified by the clinical form of the disease and to predict its course. The probability of uncomplicated mandibular fracture is described by the ratio P = 1/(1+e-z), where the index z is determined by the level of TNFα, IL-17, and IL-4 at the first and tenth day of observation. The simulation confirmed high prognostic significance of serum TNFα and IL-17 for early verification of posttraumatic osteomyelitis, which was confirmed by the OTC and ROC indices, which varied from 87 to 100% in different models. Models 4 and 5, where TNFα recorded on the tenth day of the study was used as predictors, and a combination of TNFα and IL-17 obtained on the first day of hospitalization, were the most accurate. Modeling the results of the study of immunological indicators in the mixed saliva showed that the predictive properties have only IL-4 and IL-17, was on the tenth day of hospitalization that distinguishes these binary classifiers from similar indexes, derive from the levels of cytokines in blood serum. The results of the study indicate the important role of disorders in the system of рro- and anti-inflammatory cytokines in pathogenesis of post-traumatic osteomyelitis.
About the Authors
E. V. PaskovaRussian Federation
Paskova Elena V., Postgraduate Student, Department of Normal and Pathological Physiology
690002, Russian Federation, Vladivostok, Ostryakova ave., 4.
Phone: 7 (950) 288-53-45.
E. V. Markelova
Russian Federation
PhD, MD (Medicine), Рrofessor, Head, Department of Normal and Pathological Physiology
VladivostokK. I. Shakhgeldyan
Russian Federation
PhD, MD (Technology), Associate Professor, Director, Institute of Information Technologies, Vladivostok State University of Economics and Service; Head, Laboratory of Big Data Analysis in Healthcare and Biomedicine, School of Biomedicine, Far Eastern Federal University
Vladivostok
B. I. Geltser
Russian Federation
PhD, MD (Medicine), Professor, Corresponding Member, Russian Academy of Sciences, Director, Department of Clinical Medicine, School of Biomedicine
Vladivostok
A. B. Kriger
Russian Federation
PhD (Physics/Mathematics), Associate Professor, Institute of Information Technology, Vladivostok State University of Economics and Service; Senior Research Associate, Laboratory of Big Data Analysis in Healthcare and Biomedicine, School of Biomedicine, Far Eastern Federal University
VladivostokReferences
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Supplementary files
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1. Таблица 1 | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Анализ данных | |
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2. Таблица 3 | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Анализ данных | |
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(12KB)
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3. Таблица 4 | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Анализ данных | |
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4. Литература | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Other | |
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(17KB)
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5. Резюме | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Результаты исследования | |
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6. Метаданные | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Анализ данных | |
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7. Таблица 2 | |
Subject | посттравматический остеомиелит, цитокины, нижняя челюсть, бинарный классификатор, искусственная нейронная сеть. | |
Type | Исследовательские инструменты | |
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Review
For citations:
Paskova E.V., Markelova E.V., Shakhgeldyan K.I., Geltser B.I., Kriger A.B. ROLE OF CYTOKINE-MEDIATED MECHANISMS IN DEVELOPMENT OF POST-TRAUMATIC MANDIBULAR OSTEOMYELITIS. Medical Immunology (Russia). 2019;21(5):953-958. (In Russ.) https://doi.org/10.15789/1563-0625-2019-5-953-958