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Название: Prediction and diagnostics of endometriosis in women with infertility based on immunological markers
Авторы: Koval, H.
Ivanchuk, M.A.
Ключевые слова: Endometriosis – infertility – forecasting – diagnostics - cytokines
Дата публикации: 1-июн-2016
Серия/номер: Clinical Medicine of Kazakhstan;№2 (36) 2015
Краткий осмотр (реферат): The aim of this study: а determination of cytokines informative for predicting and diagnostics of the presence of endometriosis in women with infertility. Methods: The main groups of 65 women with infertility associated with endometriosis have been researched as well as control group of 40 women with infertility of tubal genesis. The pre-defined levels of several cytokines (IL-2, INF-γ, TNF-α, IL-6, IL-10, TGF-β, IL-17, IL-1β, IL-12, IL-18) in serum and peritoneal fluid. Identification of immunological markers informative for predicting and diagnostics of the presence of endometriosis in women with infertility was conducted using mathematical models for informative by Kulbaka, Valdivsky sequential analysis, cluster analysis and linear separation method of convex hulls. The indices for prediction were selected according to Uilkokson-Mann-Whitney criterion and have showed probable differences (p<0.05) between the groups of patients with the presence and absence of endometriosis. Results: the cytokines of peritoneal fluid has bigger value, than the cytokines of serum for predicting and diagnostics of the presence of endometriosis. But bigger practical value has the cytokines of serum, because collecting of peritoneal fluid is more invasions. The highest informative for endometriosis prediction was demonstrated by interleukin 6 and tumor necrosis factor-α cytokines. Conclusion: IL-6 and TNF-α of serum can be used as immunological markers for predicting and diagnostics of the presence of endometriosis in women with infertility.
URI (Унифицированный идентификатор ресурса): http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/10938
Располагается в коллекциях:Статті. Кафедра біологічної фізики та медичної інформатики

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