Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes
Background. It is known that in diabetic retinopathy (DR), impaired transforming growth factor β1 (TGF-β1) signaling is accompanied by pathological angiogenesis, disruption of the blood-eye barrier, activation of inflammation and tissue fibrosis. The purpose of the study was to establish the relatio...
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| Format: | Article |
| Language: | English |
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Zaslavsky O.Yu.
2025-03-01
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| Series: | Mìžnarodnij Endokrinologìčnij Žurnal |
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| Online Access: | https://iej.zaslavsky.com.ua/index.php/journal/article/view/1489 |
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| author | A.S. Hudz V.A. Serhiyenko I.V. Kudryl V.G. Guryanov M.I. Kovtun S.V. Ziablitsev |
| author_facet | A.S. Hudz V.A. Serhiyenko I.V. Kudryl V.G. Guryanov M.I. Kovtun S.V. Ziablitsev |
| author_sort | A.S. Hudz |
| collection | DOAJ |
| description | Background. It is known that in diabetic retinopathy (DR), impaired transforming growth factor β1 (TGF-β1) signaling is accompanied by pathological angiogenesis, disruption of the blood-eye barrier, activation of inflammation and tissue fibrosis. The purpose of the study was to establish the relationship between the content of TGF-β1 in blood serum and intraocular fluid (IOF) and the progression of DR in type 2 diabetes mellitus (T2DM) using neural network modeling. Materials and methods. The study included the results of the examination of 102 people with T2DM, who were divided into 3 groups according to the stages of DR: the first one — non-proliferative DR (NPDR, 35 people), the second one — preproliferative (PPDR, 34 people) and the third one — proliferative (PDR, 33 people). The control group consisted of 61 individuals. The patients underwent standard ophthalmic examinations. TGF-β1 in blood serum and IOF was evaluated by enzyme-linked immunosorbent assay (Invitrogen Thermo Fisher Scientific, USA). Statistical analysis of the results was performed using the MedCalc software package (MedCalc SoftWare bvba, 1993–2013) and a two-layer neural network model with a linear postsynaptic potential function. Results. Using the genetic selection algorithm, 3 features were identified that were associated with DR: diabetes compensation and TGF-β1 content in blood and IOF. T2DM was compensated in 38 (37.3 %) patients, while in 64 cases (62.7 %), it was uncompensated. The proportion of the latter was higher in PDR than in NPDR and PPDR (p < 0.05). In PDR, the TGF-β1 content in IOF was significantly higher than in NPDR and PPDR (p < 0.05). A three-factor classification model was created on the identified features, which included a system of equations that predicted PDR with 100% accuracy. The overall prediction accuracy of the model was 88.2 % (95% CI 80.4–93.8 %). Conclusions. In this study, the value of indicators such as diabetes compensation and TGF-β1 content in serum and IOF for the progression of DR to PDR was shown using the method of neural network modeling. |
| format | Article |
| id | doaj-art-7e09273b618a4c4fa20aa26c10b05e87 |
| institution | DOAJ |
| issn | 2224-0721 2307-1427 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Zaslavsky O.Yu. |
| record_format | Article |
| series | Mìžnarodnij Endokrinologìčnij Žurnal |
| spelling | doaj-art-7e09273b618a4c4fa20aa26c10b05e872025-08-20T03:14:35ZengZaslavsky O.Yu.Mìžnarodnij Endokrinologìčnij Žurnal2224-07212307-14272025-03-01211384210.22141/2224-0721.21.1.2025.14891487Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetesA.S. Hudz0https://orcid.org/0000-0002-4131-5346V.A. Serhiyenko1https://orcid.org/0000-0002-6414-0956I.V. Kudryl2https://orcid.org/0009-0007-1108-5707V.G. Guryanov3https://orcid.org/0000-0001-8509-6301M.I. Kovtun4https://orcid.org/0009-0004-6622-3626S.V. Ziablitsev5https://orcid.org/0000-0002-5309-3728Danylo Halytsky Lviv National Medical University, Lviv, UkraineDanylo Halytsky Lviv National Medical University, Lviv, UkraineDanylo Halytsky Lviv National Medical University, Lviv, UkraineBogomolets National Medical University, Kyiv, UkraineShupyk National Healthcare University of Ukraine, Kyiv, UkraineBogomolets National Medical University, Kyiv, UkraineBackground. It is known that in diabetic retinopathy (DR), impaired transforming growth factor β1 (TGF-β1) signaling is accompanied by pathological angiogenesis, disruption of the blood-eye barrier, activation of inflammation and tissue fibrosis. The purpose of the study was to establish the relationship between the content of TGF-β1 in blood serum and intraocular fluid (IOF) and the progression of DR in type 2 diabetes mellitus (T2DM) using neural network modeling. Materials and methods. The study included the results of the examination of 102 people with T2DM, who were divided into 3 groups according to the stages of DR: the first one — non-proliferative DR (NPDR, 35 people), the second one — preproliferative (PPDR, 34 people) and the third one — proliferative (PDR, 33 people). The control group consisted of 61 individuals. The patients underwent standard ophthalmic examinations. TGF-β1 in blood serum and IOF was evaluated by enzyme-linked immunosorbent assay (Invitrogen Thermo Fisher Scientific, USA). Statistical analysis of the results was performed using the MedCalc software package (MedCalc SoftWare bvba, 1993–2013) and a two-layer neural network model with a linear postsynaptic potential function. Results. Using the genetic selection algorithm, 3 features were identified that were associated with DR: diabetes compensation and TGF-β1 content in blood and IOF. T2DM was compensated in 38 (37.3 %) patients, while in 64 cases (62.7 %), it was uncompensated. The proportion of the latter was higher in PDR than in NPDR and PPDR (p < 0.05). In PDR, the TGF-β1 content in IOF was significantly higher than in NPDR and PPDR (p < 0.05). A three-factor classification model was created on the identified features, which included a system of equations that predicted PDR with 100% accuracy. The overall prediction accuracy of the model was 88.2 % (95% CI 80.4–93.8 %). Conclusions. In this study, the value of indicators such as diabetes compensation and TGF-β1 content in serum and IOF for the progression of DR to PDR was shown using the method of neural network modeling.https://iej.zaslavsky.com.ua/index.php/journal/article/view/1489proliferative diabetic retinopathydiabetes mellitustransforming growth factor β1intraocular fluidneural network modeling |
| spellingShingle | A.S. Hudz V.A. Serhiyenko I.V. Kudryl V.G. Guryanov M.I. Kovtun S.V. Ziablitsev Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes Mìžnarodnij Endokrinologìčnij Žurnal proliferative diabetic retinopathy diabetes mellitus transforming growth factor β1 intraocular fluid neural network modeling |
| title | Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| title_full | Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| title_fullStr | Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| title_full_unstemmed | Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| title_short | Relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| title_sort | relationship of transforming growth factor β1 with diabetic retinopathy in type 2 diabetes |
| topic | proliferative diabetic retinopathy diabetes mellitus transforming growth factor β1 intraocular fluid neural network modeling |
| url | https://iej.zaslavsky.com.ua/index.php/journal/article/view/1489 |
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