Study on the effect of quercetine and lipoate on lipid peroxidation in the retina in experimental diabetes

Pasyechnikova, N.; Si, Si; Moroz, О.

doi:10.31288/oftalmolzh201643842

Cited by 1 publication

(2 citation statements)

References 10 publications

(18 reference statements)

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“…Blood rheology is then disturbed during prolonged hyperglycemia, adhesion and infiltration of leukocytes damage vascular endothelial cells. Capillary occlusion and subsequently non-perfused ischemic areas appear [2,3,4,17].…”

Section: Discussionmentioning

confidence: 99%

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Prediction of the progression of diabetic retinopathy based on hemodynamic data

Bakhritdinova¹,

Kangilbaeva²,

Nabieva³

et al. 2021

Oftalmol Zh

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Background. Diabetic retinopathy (DR) is a vascular complication of diabetes, leading to vision loss and blindness in people of any age. This highlights the need for monitoring and predicting the course of DR to start early timely treatment and to prevent progression to the proliferative stages of the disease. Purpose. To study the features of ocular hemodynamics and develop the progression risk index for DR. Material and Methods. One hundred and sixty-five patients with non-proliferative diabetic retinopathy (NPDR) were randomly allocated to receive traditional treatment (control group), daily tablets of Tanakan (TT group), or daily endonasal electrophoresis of Tanakan (TE group) within ten days. The stages of DR were determined using the severity scale of the Early Treatment Diabetic Retinopathy Study (ETDRS). The main outcome measures were changes in DR severity (DRS), Doppler ultrasound imaging at months 1, 3, and 6. Results. Moderate negative correlations were found between peak systolic velocity (PSV) of the central retinal artery (CRA) and DRS, end-diastolic velocity (EDV) of CRA and DRS, PSV of central retinal vein (CRV) and DRS, PSV of the short posterior ciliary artery (SPCA) and DRS. Developed diabetic retinopathy progression risk index (DRPRI) wasless than 1,0 in the TE group that enabled us to predict DR stability or improvement. Conclusions. This validation study demonstrated that PSV and DRS are correlated, and PSV can be used to diagnose the stages of DR. Developed DRPRI can be used to assess the effectiveness of treatment and to predict DR, which is essential for determining further patient management tactics.

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Section: Discussionmentioning

confidence: 99%

“…The pathophysiology of DR are diverse and not fully understood. However, most authors identify a wide range of metabolic disorders caused by hyperglycemia, vascular endothelial disorders, pericyte deficiency, and vascular hyperpermeability [2,3].…”

Section: Introductionmentioning

confidence: 99%