Stage-specific risk stratification of diabetic retinopathy progression based on integration of OCT parameters and systemic biomarkers of inflammation and endothelial dysfunction

Authors

  • S. Yu. Mogilevskyy Shupyk National University of Health Care of Ukraine, Kyiv (Ukraine)
  • A.V. Serdiuk Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine https://orcid.org/0000-0003-4909-8662
  • V. N. Serdiuk Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine
  • M. S. Babenko Bogomolets National Medical University, Kyiv, Ukraine
  • S. V. Ziablitsev Bogomolets National Medical University, Kyiv, Ukraine

DOI:

https://doi.org/10.31288/Ukr.j.ophthalmol.202633646

Keywords:

diabetic retinopathy, type 2 diabetes mellitus, optical coherence tomography, biomarkers, inflammatory mediators, vascular endothelium, treatment failure, branch retinal vein occlusion, retina

Abstract

Purpose. To assess the prognostic value of clinical and instrumental parameters and serum biomarkers of inflammation and endothelial dysfunction for the development of stage-specific risk stratification of rapid progression of diabetic retinopathy (DR) and prediction of treatment failure in patients with type 2 diabetes.
Material and methods. A prospective study (2 years of follow-up) included 358 patients with type 2 diabetes and DR: 189 with nonproliferative (NPDR), 96 with preproliferative (PPDR) and 73 with proliferative (PDR). Biomarker analysis was performed in a subgroup (n=136). General clinical indicators, OCT parameters – central retinal thickness (CRT) and macular volume (MV) and serum biomarker levels – von Willebrand factor (vWF), L-selectin (LS), E-selectin (ES), endothelin-1 (ET-1), high-sensitivity C-reactive protein, endothelial-monocyte activating polypeptide II (EMAP II), endothelial NO synthase (eNOS), tumor necrosis factor α (TNF-α), interleukin-1β and -6 (IL-1β, IL-6), NO metabolites were determined. Patients received stage-specific treatment (conservative, laser, anti-VEGF, vitrectomy or their combination). Ineffectiveness of therapy (rapid progression of DR) was assessed using multivariate logistic regression and ROC-analysis.
Results. Among the clinical and instrumental parameters, the highest independent prognostic value was possessed by OCT indices, glycosylated hemoglobin (HbA1c), the presence of maculopathy and diabetic macular edema. The maximum discriminatory ability of CRT and MV was observed in PPDR (AUC 0.834 and 0.824, respectively). Among the biomarkers, the most informative were LS, EMAP II, ES, IL-1β and eNOS. The best stage-specific accuracy was found in: LS in NPDR (AUC 0.979), IL-1β in PPDR (AUC 0.990), as well as EMAP II (AUC 0.988) and eNOS (AUC 0.952) in PDR. The use of optimized thresholds allowed to identify high-risk groups, where the proportion of rapid progression exceeded 80–85% regardless of the chosen treatment method.
Conclusion. Treatment failure in DR in patients with T2DM is markedly stage-specific. Integration of OCT parameters with serum biomarkers of inflammation and endothelial dysfunction provides clinically meaningful risk stratification and can be used for early identification of patients with a high probability of rapid disease progression on standard initial therapy.

Author Biographies

S. Yu. Mogilevskyy, Shupyk National University of Health Care of Ukraine, Kyiv (Ukraine)

Sergey Yu. Mogilevskyy, Dr Sc (Med), Prof., Shupyk National Healthcare University of Ukraine, Kyiv (Ukraine)

A.V. Serdiuk, Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine

Anton V. Serdiuk, Cand Sc (Med), Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine

V. N. Serdiuk, Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine

Valerii N. Serdiuk, Dr Sc (Med), Prof., Dnipro State Medical University, Ministry of Health of Ukraine, Dnipro, Ukraine

M. S. Babenko, Bogomolets National Medical University, Kyiv, Ukraine

Mykolai S. Babenko, Assistent, Bogomolets National Medical University, Kyiv, Ukraine

S. V. Ziablitsev, Bogomolets National Medical University, Kyiv, Ukraine

Sergiy V. Ziablitsev, Dr Sc (Med), Prof., Bogomolets National Medical University, Kyiv, Ukraine

References

Teo ZL, Tham YC, Yu M, Chee ML, Rim TH, Cheung N, et al. Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045: Systematic Review and Meta-analysis. Ophthalmology. 2021 Nov;128(11):1580-1591. https://doi.org/10.1016/j.ophtha.2021.04.027

Lim JI, Kim SJ, Bailey ST, Kovach JL, Vemulakonda GA, Ying GS, Flaxel CJ; American Academy of Ophthalmology Preferred Practice Pattern Retina/Vitreous Committee. Diabetic Retinopathy Preferred Practice Pattern®. Ophthalmology. 2025 Apr;132(4):P75-P162.https://doi.org/10.1016/j.ophtha.2024.12.020

American Diabetes Association Professional Practice Committee for Diabetes*. 12. Retinopathy, Neuropathy, and Foot Care: Standards of Care in Diabetes-2026. Diabetes Care. 2026 Jan 1;49(Supplement_1):S261-S276.https://doi.org/10.2337/dc26-S012

Kaurich C, Mahajan N, Bhatwadekar AD. Precision Medicine for Diabetic Retinopathy: Integrating Genetics, Biomarkers, Lifestyle, and AI. Genes (Basel). 2025 Sep 16;16(9):1096. https://doi.org/10.3390/genes16091096

Mellor J, Jeyam A, Beulens JWJ, Bhandari S, Broadhead G, Chew E, et al. Role of Systemic Factors in Improving the Prognosis of Diabetic Retinal Disease and Predicting Response to Diabetic Retinopathy Treatment. Ophthalmol Sci. 2024 Feb 17;4(4):100494.https://doi.org/10.1016/j.xops.2024.100494

Chondrozoumakis G, Chatzimichail E, Habra O, Vounotrypidis E, Papanas N, Gatzioufas Z, et al. Retinal Biomarkers in Diabetic Retinopathy: From Early Detection to Personalized Treatment. J Clin Med. 2025 Feb 18;14(4):1343. https://doi.org/10.3390/jcm14041343

Gui F, You Z, Fu S, Wu H, Zhang Y. Endothelial Dysfunction in Diabetic Retinopathy. Front Endocrinol (Lausanne). 2020 Sep 4;11:591.https://doi.org/10.3389/fendo.2020.00591

Tang L, Xu GT, Zhang JF. Inflammation in diabetic retinopathy: possible roles in pathogenesis and potential implications for therapy. Neural Regen Res. 2023 May;18(5):976-982.https://doi.org/10.4103/1673-5374.355743

Seo H, Park SJ, Song M. Diabetic Retinopathy (DR): Mechanisms, Current Therapies, and Emerging Strategies. Cells. 2025 Mar 4;14(5):376. https://doi.org/10.3390/cells14050376

Wang J, Song X, Xia Z, Feng S, Zhang H, Xu C, et al. Serum biomarkers for predicting microvascular complications of diabetes mellitus. Expert Rev Mol Diagn. 2024 Aug;24(8):703-713. https://doi.org/10.1080/14737159.2024.2391021

Szeto SK, Lai TY, Vujosevic S, Sun JK, Sadda SR, Tan G, et al. Optical coherence tomography in the management of diabetic macular oedema. Prog Retin Eye Res. 2024 Jan;98:101220. doi: 10.1016/j.preteyeres.2023.101220. Epub 2023 Nov 7. Erratum in: Prog Retin Eye Res. 2025 Jan;104:101319. https://doi.org/10.1016/j.preteyeres.2024.101319

Nanji K, Hatamnejad A, Grad J, El-Sayes A, Mihalache A, Gemae M, et al. Visual outcomes associated with optical coherence tomography biomarkers in diabetic macular edema: A systematic review. Surv Ophthalmol. 2026 Mar-Apr;71(2):289-308. https://doi.org/10.1016/j.survophthal.2025.09.009

Cappenberg A, Kardell M, Zarbock A. Selectin-Mediated Signaling-Shedding Light on the Regulation of Integrin Activity in Neutrophils. Cells. 2022 Apr 12;11(8):1310.https://doi.org/10.3390/cells11081310

Przęczek K, Cibor D, Zwolińska-Wcisło M, Owczarek D. Circulating cell adhesion molecules as biomarkers in inflammatory bowel disease: a systematic review and meta-analysis. Front Immunol. 2025 Dec 1;16:1680317. https://doi.org/10.3389/fimmu.2025.1680317

Machoń NJ, Zdanowska N, Klimek-Trojan P, Owczarczyk-Saczonek A. Vascular Cell Adhesion Molecule 1 and E-Selectin as Potential Cardiovascular Risk Biomarkers in Psoriasis. Int J Mol Sci. 2025 Jan 18;26(2):792. https://doi.org/10.3390/ijms26020792

Ekelund C, Dereke J, Nilsson C, Landin-Olsson M. Are soluble E-selectin, ICAM-1, and VCAM-1 potential predictors for the development of diabetic retinopathy in young adults, 15-34 years of age? A Swedish prospective cohort study. PLoS One. 2024 Jun 6;19(6):e0304173. https://doi.org/10.1371/journal.pone.0304173

Kuo CYJ, Murphy R, Rupenthal ID, Mugisho OO. Correlation between the progression of diabetic retinopathy and inflammasome biomarkers in vitreous and serum - a systematic review. BMC Ophthalmol. 2022 May 27;22(1):238.https://doi.org/10.1186/s12886-022-02439-2

Gericke A, Buonfiglio F. Physiological and Pathophysiological Relevance of Nitric Oxide Synthases (NOS) in Retinal Blood Vessels. Front Biosci (Landmark Ed). 2024 May 16;29(5):190.https://doi.org/10.31083/j.fbl2905190

Adly AAM, Ismail EA, Tawfik LM, Ebeid FSE, Hassan AAS. Endothelial monocyte activating polypeptide II in children and adolescents with type 1 diabetes mellitus: Relation to micro-vascular complications. Cytokine. 2015 Dec;76(2):156-162.https://doi.org/10.1016/j.cyto.2015.06.006

Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, et al.; Global Diabetic Retinopathy Project Group. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003 Sep;110(9):1677-82.https://doi.org/10.1016/S0161-6420(03)00475-5

Yang Z, Tan TE, Shao Y, Wong TY, Li X. Classification of diabetic retinopathy: Past, present and future. Front Endocrinol (Lausanne). 2022 Dec 16;13:1079217.https://doi.org/10.3389/fendo.2022.1079217

Harding S, Greenwood R, Aldington S, Gibson J, Owens D, Taylor R, et al.; Diabetic Retinopathy Grading and Disease Management Working Party. Grading and disease management in national screening for diabetic retinopathy in England and Wales. Diabet Med. 2003 Dec;20(12):965-71. https://doi.org/10.1111/j.1464-5491.2003.01077.x

Wilkinson CP, Ferris FL 3rd, Klein RE, Lee PP, Agardh CD, Davis M, et al.; Global Diabetic Retinopathy Project Group. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology. 2003 Sep;110(9):1677-82.https://doi.org/10.1016/S0161-6420(03)00475-5

Bennett ST, Lehman CM, Rodgers GM, authors; Thompson C, Blaylock RC, editors. Laboratory Hemostasis: A Practical Guide for Pathologists. 2nd ed. Cham: Springer; 2015. 244 p. https://doi.org/10.1007/978-3-319-08924-9

Miranda KM, Espey MG, Wink DA. A rapid, simple spectrophotometric method for simultaneous detection of nitrate and nitrite. Nitric Oxide. 2001 Feb;5(1):62-71. https://doi.org/10.1006/niox.2000.0319

Kanda Y. Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant. 2013 Mar;48(3):452-8. https://doi.org/10.1038/bmt.2012.244

Hartnett ME, Fickweiler W, Adamis AP, Brownlee M, Das A, Duh EJ, et al. Rationale of Basic and Cellular Mechanisms Considered in Updating the Staging System for Diabetic Retinal Disease. Ophthalmol Sci. 2024 Mar 27;4(5):100521.https://doi.org/10.1016/j.xops.2024.100521

Storti F, Pulley J, Kuner P, Abt M, Luhmann UFO. Circulating Biomarkers of Inflammation and Endothelial Activation in Diabetic Retinopathy. Transl Vis Sci Technol. 2021 Oct 4;10(12):8. https://doi.org/10.1167/tvst.10.12.8

Yanxia C, Xiongyi Y, Min F, Xiaoyun K. Optical Coherence Tomography-Based Grading of Diabetic Macular Edema Is Associated with Systemic Inflammatory Indices and Imaging Biomarkers. Ophthalmic Res. 2024;67(1):96-106. https://doi.org/10.1159/000535199

Sen S, Khalid H, Udaya P, Raman R, Rajendram R, ElHousseini Z, et al. Ultrastructural imaging biomarkers in diabetic macular edema: A major review. Indian J Ophthalmol. 2025 Jan 1;73(Suppl 1):S7-S23. https://doi.org/10.4103/IJO.IJO_107_25

Serdyuk AV, Mogilevsky SYu, Babenko MS, Ziablitsev SV. Atherogenic dyslipidemia (lipid fractions and simple lipid indices) as a predictor of diabetic macular edema and adverse optical coherence tomography outcomes in diabetic retinopathy. Mìžnarodnij endokrinologìčnij žurnal. 2026;22(2):126-134. https://doi.org/10.22141/2224-0721.22.2.2026.1686

Siddiqui K, George TP, Mujammami M, Isnani A, Alfadda AA. The association of cell adhesion molecules and selectins (VCAM-1, ICAM-1, E-selectin, L-selectin, and P-selectin) with microvascular complications in patients with type 2 diabetes: A follow-up study. Front Endocrinol (Lausanne). 2023 Feb 9;14:1072288. https://doi.org/10.3389/fendo.2023.1072288

Yang J, Liu Z. Mechanistic Pathogenesis of Endothelial Dysfunction in Diabetic Nephropathy and Retinopathy. Front Endocrinol (Lausanne). 2022 May 25;13:816400. https://doi.org/10.3389/fendo.2022.816400

Sheng X, Zhang C, Zhao J, Xu J, Zhang P, Ding Q, et al. Microvascular destabilization and intricated network of the cytokines in diabetic retinopathy: from the perspective of cellular and molecular components. Cell Biosci. 2024 Jun 27;14(1):85.https://doi.org/10.1186/s13578-024-01269-7

Blum A, Pastukh N, Socea D, Jabaly H. Levels of adhesion molecules in peripheral blood correlat with stages of diabetic retinopathy and may serve as bio markers for microvascular complications. Cytokine. 2018 Jun;106:76-79. https://doi.org/10.1016/j.cyto.2017.10.014

Mogilevskii SI, Serdiuk AV, Zyablitsev SV. Prognostic biomarkers of non-proliferative diabetic retinopathy progression in type 2 diabetes mellitus. Ukr J Ophthal 2024;4(519):38-45. https://doi.org/10.31288/oftalmolzh202443845

Majidova SR. Evaluation of Hypoxia and Microcirculation Factors in the Progression of Diabetic Retinopathy. Invest Ophthalmol Vis Sci. 2024 Jan 2;65(1):35.https://doi.org/10.1167/iovs.65.1.35

Rajab HA, Baker NL, Hunt KJ, Klein R, Cleary PA, Lachin J, et al.; DCCT/EDIC Group of Investigators. The predictive role of markers of Inflammation and endothelial dysfunction on the course of diabetic retinopathy in type 1 diabetes. J Diabetes Complications. 2015 Jan-Feb;29(1):108-14. https://doi.org/10.1016/j.jdiacomp.2014.08.004

Muni RH, Kohly RP, Lee EQ, Manson JE, Semba RD, Schaumberg DA. Prospective study of inflammatory biomarkers and risk of diabetic retinopathy in the diabetes control and complications trial. JAMA Ophthalmol. 2013 Apr;131(4):514-21.https://doi.org/10.1001/jamaophthalmol.2013.2299

Zheng X, Wan J, Tan G. The mechanisms of NLRP3 inflammasome/pyroptosis activation and their role in diabetic retinopathy. Front Immunol. 2023 Apr 25;14:1151185. https://doi.org/10.3389/fimmu.2023.1151185

van Horssen R, Eggermont AM, ten Hagen TL. Endothelial monocyte-activating polypeptide-II and its functions in (patho)physiological processes. Cytokine Growth Factor Rev. 2006 Oct;17(5):339-48. https://doi.org/10.1016/j.cytogfr.2006.08.001

Yuan X, Wang X, Ma X, Mao Y, Wang Q. AIMP1: multifunctional regulator in physiology and pathology with therapeutic implications. PeerJ. 2025 Nov 18;13:e20334. https://doi.org/10.7717/peerj.20334

Mogilevskyy S Yu, Serdiuk AV, Serdiuk VN, Ziablitsev SV. Model for predicting the efficacy of treating diabetic retinopathy in type 2 diabetes on the basis of determination of markers of endothelial dysfunction. Journal of Ophthalmology (Ukraine). 2025;5(527):3-12.

https://doi.org/10.31288/oftalmolzh20256312

Monickaraj F, Acosta G, Cabrera AP, Das A. Transcriptomic Profiling Reveals Chemokine CXCL1 as a Mediator for Neutrophil Recruitment Associated With Blood-Retinal Barrier Alteration in Diabetic Retinopathy. Diabetes. 2023 Jun 1;72(6):781-794.https://doi.org/10.2337/db22-0619

Guo C, Sodhi A. Molecular stress and neurovascular injury in the diabetic retina. J Clin Invest. 2026 Mar 2;136(5):e200945.https://doi.org/10.1172/JCI200945

Kaštelan S, Orešković I, Bišćan F, Kaštelan H, Gverović Antunica A. Inflammatory and angiogenic biomarkers in diabetic retinopathy. Biochem Med (Zagreb). 2020 Oct 15;30(3):030502.https://doi.org/10.11613/BM.2020.030502

Published

2026-06-29

How to Cite

[1]
Mogilevskyy, S.Y. et al. 2026. Stage-specific risk stratification of diabetic retinopathy progression based on integration of OCT parameters and systemic biomarkers of inflammation and endothelial dysfunction. Ukrainian Journal of Ophthalmology . 3 (Jun. 2026), 36–46. DOI:https://doi.org/10.31288/Ukr.j.ophthalmol.202633646.

Issue

Section

Clinical Ophthalmology

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