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Multifactor neural-like algorithm of tear fluid composition analyses as a marker of retinal lesions in diabetes type two patients


I.V. Vorobievа

Tear fluid is a multicomponent biological system with different metabolic, immunologic, regulatory and shielding processes taking place. There is an anatomical and physiological connection between tear fluid and different structures of the eye. The composition of tear fluid reflects pathological conditions taking place in anterior and posterior eye chamber. Studying lacrimal fluid composition is an important accessory diagnostic procedure and way of prognosing the state of eye diseases. Diabetic retinopathy is the leading cause of blindness in diabetes type two patients of working age in the developed countries. The pathogenesis of diabetic retinopathy comprises metabolic, biochemical, immunological and rheological changes. Nowadays the pathogenesis of diabetic retinopathy is considered at the molecular level as a result of cytokines, angiogenic and antiangiogenic factors interaction. The main mediators of retinal angiogenesis are VEGF, PDGF and PEDF. According to the results of clinical researches the level of VEGF and PDGF in the tear fluid of diabetic patients with retinopathy is higher than in those without retinopathy and depends on the severity of diabetic retinopathy. The level of PEDF in tear fluid is lower in patients with diabetic retinopathy. The data on the levels of these growth factors in tear fluid according to different ways of retinopathy treatment (laser and surgical) and the possible criteria of evaluation of the risk of intraoperation complications development is discussed. The factors that help automate diagnosis of diabetic retinopathy on the analysis of changes in tear fluid, including with the use of neural information processing algorithms are identified.
May 29, 2020

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