Non-proliferative Diabetic Retinopathy Group Research Articles

Dynamic observation and analysis of factors influencing the progression of diabetic retinopathy

ObjectiveTo actively monitor and analyze the factors that affect the advancement of diabetic retinopathy (DR). MethodIn this study, we prospectively recruited patients diagnosed with non-proliferative diabetic retinopathy (NPDR) for concurrent monitoring. A total of 75 patients who transitioned from NPDR to proliferative diabetic retinopathy (PDR) comprised the progression group, while 112 NPDR patients who did not develop PDR formed the stable group in a prospective cohort study. Follow-up assessments occurred every six months, and patients were observed continuously over an eight-year period. Clinical parameters from both NPDR and PDR groups were collected to assess the stability of these indicators (with a coefficient of variation [CV] > 5 % indicating instability and CV < 5 % indicating stability). ResultsIn the NPDR cohort, 80.4 % Control the stability ratio regulation of glycosylated hemoglobin (HbA1c), whereas in the PDR cohort, 80.0 % Control the proportion of instability (P = 0.001); for blood creatinine (Cr), 64.3 % of NPDR patients maintained stable levels, contrasting with 77.3 % of PDR patients with fluctuating levels (P = 0.001). Blood urea nitrogen (BUN) and homocysteine (HCY) control demonstrated instability in both NPDR and PDR groups. Instability in regulating HbA1c, Cr, BUN, and HCY served as independent risk factors for DR progression, with significant associations found between HbA1c CV (HR: 15.586; 95 % CI: 14.205–15.988; p = 0.001), Cr CV (HR: 9.231; 95 % CI: 9.088–10.235; p = 0.005), BUN CV (HR: 3.568; 95 % CI: 3.183–4.367; p = 0.01), and HCY CV (HR: 8.678; 95 % CI: 7.754–8.998；p = 0.003). ConclusionInadequate regulation of HbA1c, Cr, BUN, and HCY independently impact the advancement of DR.

A gender-based analysis of retinal microvascular alterations in patients with diabetes mellitus using OCT angiography

PurposeTo assess the difference in microvascular changes between males and females with diabetes mellitus (DM) without diabetic retinopathy (NoDR) and with mild-to-moderate non-proliferative diabetic retinopathy (NPDR) using Optical Coherence Tomography Angiography (OCT-A). DesignRetrospective cross-sectional study. Methods267 DM patients, 133 females (49.81 %), 111 with NoDR (41.57 %) and 156 NPDR (58.43 %) were included. Foveal-centered 3 × 3 mm OCT-A images corresponding to the superficial (SCP), intermediate (ICP) and deep capillary plexus (DCP), and full retinal (RET) slab were used for analysis. For each slab, FAZ area, perimeter, and circularity index (CI) were determined, following manual delineation of the FAZ; perfusion (PD) and vessel density (VD), fractal dimension (FD), vessel length density (VLD), geometric perfusion deficits (GPD) were also computed. Flow voids (FV) were determined in the choriocapillaris plexus; and perfused capillary density (PCD) in the RET slab. ResultsFemales showed larger FAZ CI in SCP and greater FAZ area and perimeter than males in NPDR group. Males had higher central macular thickness than females in NPDR group. All density metrics at the level of ICP and DCP were affected in the NPDR group with no gender differences. Of note, the same significant findings were found in type 1 DM patients, and not in type 2 DM patients. ConclusionsOur OCT-A findings suggest significant microvascular changes in females with NPDR compared to males, but no such differences in patients without DR. Therefore, gender-related vascular alterations might be present in early stages of DR with potential role.

Trajectories of choriocapillaris perfusion in healthy individuals and patients with diabetes mellitus: a prospective cohort study

PurposeTo evaluate the longitudinal rate of choriocapillaris flow deficits (CFD) in healthy participants and patients with diabetes mellitus.MethodsThis prospective cohort study included healthy individuals and diabetic patients without diabetic retinopathy...

Unveiling the hidden: a deep learning approach to unraveling subzone-specific changes in peripapillary atrophy in type 2 diabetes.

This study aimed to evaluate the optical coherence tomography angiography (OCTA) changes in subzones of peripapillary atrophy (PPA) among type 2 diabetic patients (T2DM) with or without diabetic retinopathy (DR) using well-designed deep learning models. A multi-task joint deep-learning model was trained and validated on 2,820 images to automate the determination and quantification of the microstructure and corresponding microcirculation of beta zone and gamma zone PPA. This model was then applied in the cross-sectional study encompassing 44 eyes affected by non-proliferative diabetic retinopathy (NPDR) and 46 eyes without DR (NDR). OCTA was utilized to image the peripapillary area in four layers: superficial capillary plexus (SCP), deep capillary plexus (DCP), choroidal capillary (CC) and middle-to-large choroidal vessel (MLCV). The patients in both groups were matched for age, sex, BMI, and axial length. The width and area of the gamma zone were significantly smaller in NPDR group compared to the NDR group. Multiple linear regression analysis revealed a negative association between the diagnosis of DR and the width and area of the gamma zone. The gamma zone exhibited higher SCP, DCP and MLCV density than the beta zone, while the beta zone showed higher CC density than the gamma zone. In comparison to the NDR group, the MLCV density of gamma zone was significantly lower in NPDR group, and this density was positively correlated with the width and area of the gamma zone. DR-induced peripapillary vascular changes primarily occur in gamma zone PPA. After eliminating the influence of axial length, our study demonstrated a negative correlation between DR and the gamma zone PPA. Longitudinal studies are required to further elucidate the role of the gamma zone in the development and progression of DR.

Potential Diagnostic Biomarkers of tRNA-Derived Small RNAs in PBMCs for Nonproliferative Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus.

This study aimed to reveal the altered expressions of transfer RNA (tRNA)-derived small RNAs (tsRNAs) in peripheral blood mononuclear cells and identify potential diagnostic biomarkers for nonproliferative diabetic retinopathy (NPDR) from patients with type 2 diabetes mellitus. Fifty-three patients diagnosed with type 2 diabetes mellitus were enrolled, including 25 patients with NPDR and 28 patients without diabetic retinopathy (DR) as the control group. A small RNA microarray was performed to screen the differentially expressed tsRNAs. Reverse transcriptase quantitative polymerase chain reaction was used to validate the significantly altered tsRNAs in a screening cohort and a verification cohort. The target genes, their enriched functions, and signaling pathways were predicted by bioinformatics analyses. In total, 668 upregulated and 485 downregulated tsRNAs were found in the NPDR group by microarray. Eight tsRNAs were validated preliminarily to be altered significantly by reverse transcriptase quantitative polymerase chain reaction, and their target genes were enriched in cellular macromolecule metabolic process and ubiquitin-mediated proteolysis. The verification experiments confirmed the increased levels of 5'tiRNA-35-PheGAA-8, tRF3-28-PheGAA-1, and tRF3b-PheGAA-6, and the decreased levels of mt-tRF3-19-ArgTCG, mt-tRF3-20-ArgTCG, and mt-tRF3-21-ArgTCG in patients with NPDR, which may serve as potential biomarkers with clinical significance. The study recognized the tsRNA expression changes in peripheral blood mononuclear cells from patients with NPDR and discovered potential diagnostic biomarkers that hold clinical significance. The significantly altered tsRNAs identified in the study may serve as potential diagnostic biomarkers for patients with NPDR as well as possible molecular targets of the occurrence and development of DR.

Genetic association of diabetic retinopathy with long noncoding RNA CDKN2B-AS1 gene polymorphism.

We attempted to test the influences of cyclin dependent kinase inhibitor 2B antisense RNA 1 (CDKN2B-AS1) gene polymorphisms on the susceptibility to Diabetic retinopathy (DR). Five single-nucleotide polymorphisms (SNPs) of the CDKN2B-AS1 gene, rs564398, rs1333048, rs1537373, rs2151280, and rs8181047 were examined in 280 DR cases and 455 DR-free diabetic controls. Among these loci tested, we demonstrated that diabetic carriers of at least one polymorphic allele (G) of rs2151280 (AG and GG; AOR, 1.613; 95% CI, 1.040-2.501; p = 0.033) are more susceptible to proliferative DR but not non-proliferative DR. This genetic association with the risk of developing proliferative DR was further strengthened in homozygotes for the polymorphic allele (G) of rs2151280 (GG; AOR, 2.194; 95% CI, 1.117-4.308; p = 0.023). We detected a significant association of the polymorphic allele (G) of rs2151280 with proliferative DR patients (OR, 1.503; 95% CI, 1.112-2.033; p = 0.008) but not with the entire DR or non-proliferative DR group. Moreover, as compared to those who do not possess the polymorphic allele of rs2151280 (AA), DR patients carrying at least one polymorphic allele of rs2151280 (AG + GG) exhibited a lower glomerular filtration rate and HDL cholesterol level, revealing a promotive role of rs2151280 in renal and cardiovascular complications of diabetes. Taken together, our findings implicate an impact of CDKN2B-AS1 gene polymorphisms on the progression of DR.

Clinical serum lipidomic profiling revealed potential lipid biomarkers for early diabetic retinopathy

Diabetic retinopathy (DR) is a serious complication of diabetes featuring abnormal lipid metabolism. However, the specific lipid molecules associated with onset and progression remain unclear. We used a broad-targeted lipidomics approach to assess the lipid changes that occur before the proliferative retinopathy stage and to identify novel lipid biomarkers to distinguish between patients without DR (NDR) and with non-proliferative DR (NPDR). Targeted lipomics analysis was carried out on serum samples from patients with type I diabetes, including 20 NDRs and 20 NPDRs. The results showed that compared with the NDR group, 102 lipids in the NPDR group showed specific expressions. Four lipid metabolites including TAG58:2-FA18:1 were obtained using the Least Absolute Shrink And Selection Operator (LASSO) and Support Vector Machine Recursive Feature Elimination (SVM-RFE) methods. The four-lipid combination diagnostic models showed good predictive ability in both the discovery and validation sets, and were able to distinguish between NDR patients and NPDR patients. The identified lipid markers significantly improved diagnostic accuracy within the NPDR group. Our findings help to better understand the complexity and individual differences of DR lipid metabolism.

Peripapillary microvasculature and retinal nerve fiber layer damage according to the severity of diabetic retinopathy.

To identify damage to the inner retinal layer and microvasculature in the peripapillary area according to the severity of diabetic retinopathy (DR). Patients were divided into four groups: control (group 1), type 2 diabetes (T2DM) without DR (group 2), mild to moderate nonproliferative DR (NPDR) (group 3), and severe NPDR (group 4). The peripapillary retinal nerve fiber layer (pRNFL) thickness and peripapillary vessel density (VD) were compared. Linear regression analysis was performed to identify factors associated with the DR severity. The average pRNFL thicknesses were 96.2 ± 7.1, 94.1 ± 9.6, 92.0 ± 9.9, and 90.3 ± 12.4μm in groups 1, 2, 3, and 4, respectively (P = 0.003) (post hoc analyses: group 1 vs. group 2, P = 0.529; group 2 vs. group 3, P = 0.627; group 2 vs. group 4, P = 0.172; group 3 vs. group 4, P = 0.823). The VDs of the outer ring were 18.9 ± 0.6, 18.4 ± 0.8, 17.9 ± 1.1, and 17.3 ± 1.6mm-1 in groups 1, 2, 3 and 4, respectively (P < 0.001) (all pairwise comparisons, P < 0.050). In multivariate analysis, the VD of the outer ring (B = - 0.35, P < 0.001) was significantly associated with the DR severity. The peripapillary microvasculature reflects retinal damage following DR progression better than the structure of the pRNFL.

Systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio in patients with type 2 diabetes at different stages of diabetic retinopathy.

To investigate systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) levels in patients with type 2 diabetes at different stages of diabetic retinopathy (DR). This retrospective study included 141 patients with type 2 diabetes mellitus (DM): 45 without diabetic retinopathy (NDR), 47 with non-proliferative diabetic retinopathy (NPDR), and 49 with proliferative diabetic retinopathy (PDR). Complete blood counts were obtained, and NLR, PLR, and SII were calculated. The study analysed the ability of inflammatory markers to predict DR using receiver operating characteristic (ROC) curves. The relationships between DR stages and SII, PLR, and NLP were assessed using multivariate logistic regression. The average NLR, PLR, and SII were higher in the PDR group than in the NPDR group (P=0.011, 0.043, 0.009, respectively); higher in the NPDR group than in the NDR group (P<0.001 for all); and higher in the PDR group than in the NDR group (P<0.001 for all). In the ROC curve analysis, the NLR, PLR, and SII were significant predictors of DR (P<0.001 for all). The highest area under the curve (AUC) was for the PLR (0.929 for PLR, 0.925 for SII, and 0.821 for NLR). Multivariate regression analysis indicated that NLR, PLR, and SII were statistically significantly positive and independent predictors for the DR stages in patients with DM [odds ratio (OR)=1.122, 95% confidence interval (CI): 0.200-2.043, P<0.05; OR=0.038, 95%CI: 0.018-0.058, P<0.05; OR=0.007, 95%CI: 0.001-0.01, P<0.05, respectively). The NLR, PLR, and SII may be used as predictors of DR.

Correlation between vessel density and thickness in the retina and choroid of severe non-proliferative diabetic retinopathy patients.

To explore the correlation between the vessel density (VD) of the retina and choroid vascular plexuses and the thicknesses of their respective retinal layers and choroid membranes in participants with severe non-proliferative diabetic retinopathy (NPDR). We retrospectively analyzed the data of 42 eyes of 42 participants with diabetes mellitus (DM) and severe NPDR. In addition, 41 eyes of 41 healthy controls were evaluated. Measurements were taken for both groups using optical coherence tomography angiography (OCTA), including the area and perimeter of the foveal vascular zone (FAZ) and the vascular density (VD) in the superficial capillary plexus (SCP), deep capillary plexus (DCP), and choroid capillary (CC). These measurements were compared with the retinal thickness (RT) of the inner/intermediate retinal layers and choroidal thickness (CT). The study evaluated the correlation between RT or CT and VD in the respective vascular networks, namely superficial capillary plexus (SCP), deep capillary plexus (DCP), or CC. The inner RT and VD in all plexuses were significantly lower in the severe NPDR group than in the healthy controls. Furthermore, the FAZ area and perimeter were larger in the severe NPDR group. Inner RT was correlated with VD in the SCP group (r=0.67 and r=0.71 in the healthy control and severe NPDR groups, respectively; p<0.05). CT negatively correlated with VD in the CC (r=-0.697 and r=-0.759 in the healthy control and severe NPDR groups, respectively; p<0.05). Intermediate RT significantly correlated with VD in the DCP of the severe NPDR group (r=-0.55, p<0.05), but not in the healthy control group. Retinal or choroidal thickness strongly correlated with VD. Therefore, patients with severe NPDR must consider the distinct anatomical and functional entities of the various retinal layers and the choroid.

The Effect of Diabetic Retinopathy and Blood Glucose Regulation on Corneal Biomechanical Parameters

Purpose The aim of this study was to evaluate the effects of different stages of diabetic retinopathy (DR) and metabolic control of blood glucose levels on corneal biomechanical parameters. Methods Diabetic patients were categorized into three groups: no DR group, nonproliferative DR (NPDR) group, and proliferative DR (PDR) group. Of the 141 eyes examined, 40 belonged to the control group, 34 to no DR group, 34 to NPDR group, and 33 to PDR group. Using an Ocular Response Analyzer to measure corneal hysteresis (CH), corneal resistance factor (CRF), Goldmann-correlated intraocular pressure (IOPg), and corneal-compensated IOP (IOPcc). IOP was assessed using a Tono-Pen, while central corneal thickness (CCT) was determined using an ultrasonic pachymeter. HbA1c levels were also recorded. We conducted comparisons among these groups across biomechanical parameters and IOP (tonopen), and CCT, while also investigating the impact of HbA1c levels on these parameters. Results Among any groups show a statistically significant difference in CCT, IOP (tonopen), CH, CRF, IOPg, and IOPcc. In diabetic patients, CRF, CTT, and IOPg values were significantly higher in those with HbA1c levels ≥ 7 mg/dl than in those with HbA1c levels < 7 mg/dl (p = 0.009, p = 0.013, p = 0.038), respectively, while there was no statistically significant difference in IOPcc, CH, and IOP (tonopen). Linear regression analysis showed that CH was positively associated with CCT (p < 0.001) and negatively associated with IOPcc (p < 0.001), while CRF was positively associated with CCT (p < 0.001), HbA1c (p < 0.05), and negatively associated with diagnosis of DR (p < 0.05). Conclusion This study underscores the influence of metabolic control, as reflected by HbA1c levels, on corneal biomechanical parameters in diabetic patients, emphasizing the importance of monitoring and managing glycemic control in this population.

Analysis of the Choroidal Structure in the Early Stage of Type 2 Diabetic Retinopathy.

Our aim was to evaluate the choroidal structure in the early stage of Type 2 diabetic retinopathy (DR). The study included patients with nonproliferative diabetic retinopathy (NPDR) without edema (n = 30, NPDR group), patients with diabetes without retinopathy (n = 30, No DR group), and healthy subjects (n = 33, control group). Choroidal thickness (CT), total choroidal area (TCA), luminal area (LA), stromal area (SA), and choroidal vascularity index (CVI) were evaluated. The hypertension (HT) rate was highest in patients with NPDR (63.3%), and lowest in the control group (27.3%). Subfoveal, nasal, temporal CT, TCA, and LA were thinner in patients with diabetes compared to the control group for both patients with and without HT, although not significantly. CTs, TCA, LA, and SA were lower in hypertensive patients than patients without HT in all groups. CVI and LA/SA were significantly lower in NPDR group compared to the controls for both patients with and without HT. In patients with diabetes and before clinical retinopathy develops, the thinning of the CT and CVI begins. A decrease in CVI continues as the retinopathy progresses. HT appears to be a factor that can reduce CT, TCA, LA, and SA. [Ophthalmic Surg Lasers Imaging Retina 2024;55:392-399.].

Research on the Correlation Between rs2110385 Polymorphisms of the Visfatin Gene and Nonproliferative Diabetic Retinopathy

Objective: To investigate the association between rs2110385 polymorphisms of the visfatin gene and the risk of type 2 diabetic retinopathy (DR). Methods: 172 Han subjects were selected from Xi’an Shaanxi Province；140 patients with type 2 diabetes mellitus (T2DM) and 32 normal controls (NC) were selected from our hospital. Patients with diabetes were divided into a non-DR group (T2DM) (n = 69) and a nonproliferative diabetic retinopathy Group (DR) (n =71) after dilated fundus photography and fundus fluorescein angiography. rs2110385/Alu Ⅰ genotypes were detected by standardized polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and the differences in the detection rates of different genotypes in the above populations were compared. Results: 1) The visfatin level in the DR Group was significantly higher than that in the NC and T2DM groups (P &lt; 0.05). 2) The frequency of GG genotype and G allele of rs2110385 in the DR Group were higher than those in the T2DM and NC groups (80.3, 69.6, 50.0, 86.6, 79, 65.6, P &lt; 0.05). 3) There were significant differences in allele frequency and genotype frequency distribution of rs2110385 between the DR Group and the NC group (P &lt; 0.01). Conclusion: Visfatin increased in the nonproliferative diabetic retinopathy group and could be a potential indicator for the clinical prediction of DR. The G allele of the rs2110385 polymorphic site may be related to the risk of DR.

Vascular changes of the choroid and their correlations with visual acuity in diabetic retinopathy.

To investigate changes in the choroidal vasculature and their correlations with visual acuity in diabetic retinopathy (DR). The cohort was composed of 225 eyes from 225 subjects, including 60 eyes from 60 subjects with healthy control, 55 eyes from 55 subjects without DR, 46 eyes from 46 subjects with nonproliferative diabetic retinopathy (NPDR), 21 eyes from 21 subjects with proliferative diabetic retinopathy (PDR), and 43 eyes from 43 subjects with clinically significant macular edema (CSME). Swept-source optical coherence tomography (SS-OCT) was used to image the eyes with a 12-mm radial line scan protocol. The parameters for 6-mm diameters of region centered on the macular fovea were analyzed. Initially, a custom deep learning algorithm based on a modified residual U-Net architecture was utilized for choroidal boundary segmentation. Subsequently, the SS-OCT image was binarized and the Niblack-based automatic local threshold algorithm was employed to calibrate subfoveal choroidal thickness (SFCT), luminal area (LA), and stromal area (SA) by determining the distance between the two boundaries. Finally, the ratio of LA and total choroidal area (SA + LA) was defined as the choroidal vascularity index (CVI). The choroidal parameters in five groups were compared, and correlations of the choroidal parameters with age, gender, duration of diabetes mellitus (DM), glycated hemoglobin (HbA1c), fasting blood sugar, SFCT and best-corrected visual acuity (BCVA) were analyzed. The CVI, SFCT, LA, and SA values of patients with DR were found to be significantly lower compared to both healthy patients and patients without DR (P< 0.05). The SFCT was significantly higher in NPDR group compared to the No DR group (P < 0.001). Additionally, the SFCT was lower in the PDR group compared to the NPDR group (P = 0.014). Furthermore, there was a gradual decrease in CVI with progression of diabetic retinopathy, reaching its lowest value in the PDR group. However, the CVI of the CSME group exhibited a marginally closer proximity to that of the NPDR group. The multivariate regression analysis revealed a positive correlation between CVI and the duration of DM as well as LA (P < 0.05). The results of both univariate and multivariate regression analyses demonstrated a significant positive correlation between CVI and BCVA (P = 0.003). Choroidal vascular alterations, especially decreased CVI, occurred in patients with DR. The CVI decreased with duration of DM and was correlated with visual impairment, indicating that the CVI might be a reliable imaging biomarker to monitor the progression of DR.

The association between the severity of diabetic retinopathy and cognitive impairment: a cross-sectional study.

To assess the correlation among cognitive impairment (CI) and the degree of diabetic retinopathy (DR). The current analytic cross-sectional study has been carried out on two hundred ten individuals having diabetes mellitus type 2. Individuals were split into 7 groups in order of severity of DR in the worse eye with 30 cases in each group. Cognition function has been determined utilizing mini-mental state examination (MMSE) and montreal cognitive assessment (MoCA) tests. Comparing the severity of CI using both MMSE and MoCA tests, statistically substantial differences have been discovered among individuals without DR, those having non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR) (p < 0.001). The greatest percentage of severe and moderate CI was seen in the PDR group. Regarding the severity of CI, there has been a statistically substantial difference among NPDR and PDR groups, as well as among no-DR and PDR groups (p < 0.001). Moreover, the severity of CI in the MMSE and MoCA tests had a negative connection with the grades of DR (r = -0.522, P < 0.001 and r = -0.540, P < 0.001, respectively). We discovered a negative connection between the grades of DR and the severity of CI that persisted as a significant finding, showing that patients with more severe DR tended to have higher levels of CI. These results might offer retinal examination or retinal photography as a promising strategy for mass screening of CI in diabetic patients, especially if it is combined with artificial intelligence and telemedicine.

Dyslipidemia and reduced retinal layer thicknesses in mild to moderate non-proliferative diabetic retinopathy.

To investigate the changes in ganglion cell layer-inner plexiform layer (GCL-IPL) thickness and its association with peripheral blood indices in non-proliferative diabetic retinopathy (NPDR). In this cross-sectional study, 132 participants were categorized into three groups: 30 healthy volunteers (control group), 50 diabetic patients with non-diabetic retinopathy (NDR group), and 52 patients with NPDR. Optical coherence tomography (OCT) was used to measure the retinal nerve fiber layer (RNFL) and GCL-IPL thicknesses in the macula. The associations between RNFL loss and systemic risk factors for DR, such as diabetes duration, triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and hemoglobin A1c (HbA1c) were evaluated. The average, superior, and nasal thicknesses in the NDR and NPDR groups were significantly thinner compared to the control group (P=0.002, 0.020, 0.090, respectively). Similarly, GCL-IPL thicknesses in the 3 mm and 6 mm zones of the NDR and NPDR groups were thinner than those in the control group (P=0.040, 0.022, 0.037, respectively). Temporal thicknesses in the 3 mm range of the NDR and NPDR groups were also thinner than in the control group (P=0.010). Superior RNFL thickness was positively correlated with HbA1c (r=0.200, P=0.044), and negatively correlated with HDL (r=-0.198, P=0.047). The average inferior and nasal GCL-IPL thicknesses were negatively correlated with TC across the 3 mm zone (r=-0.211, P=0.033; r=-0.224, P=0.023; r=-0.227, P=0.022). Additionally, the average thickness of GCL-IPL in the 6-mm range were positively correlated with the duration of diabetes (r=0.196, P=0.048). This study demonstrates that dyslipidemia in diabetic patients correlates with reductions in RNFL and GCL-IPL thicknesses, suggesting a role in the pathogenesis of diabetic retinopathy.

Assessment of the radial peripapillary capillary plexus and retinal nerve fiber layer thickness in diabetic patients in comparison to normal age-matched individuals

Background Diabetic retinopathy (DR) is a major complication of diabetes, leading to vision impairment and blindness worldwide. As early detection is crucial, our study investigated the potential of radial peripapillary capillary plexus (RPCP) and retinal nerve fiber layer (RNFL) thickness as biomarkers for retinal assessment in diabetic patients. Methods We conducted a cross-sectional study involving 48 participants, categorized into three groups: healthy controls, diabetic patients without DR (No DR), and patients with mild to moderate nonproliferative DR (NPDR). Vascular density (VD) and RNFL thickness were evaluated using optical coherence tomography (OCT), and OCT-Angiography (OCT-A). Results The study showed a significant difference in VD among the three groups. The mean whole image VD% in the control group was 51.28%, while the No DR and NPDR groups had mean percentages of 49.27% and 49.46%, respectively (P=0.015). These differences were also significant for peripapillary VD (P=0.003), superior-hemi VD (P=0.035), and inferior-hemi VD percentage (P=0.002). Conversely, there were no significant differences in RNFL thickness among the groups (P=0.138). In the NPDR group, positive correlations were found between RNFL thickness and VD percentages, including superior-hemi RNFL thickness and superior-hemi VD% (r=0.724, P&lt;0.001), average whole RNFL thickness and whole image VD% (r=0.655, P&lt;0.001), and average whole RNFL thickness and peripapillary VD% (r=0.647, P&lt;0.001). Conclusion This research emphasizes the value of assessment of retinal VD thickness of the radial peripapillary plexus as an early indicator for preclinical diabetic retinal changes in diabetic patients.

Aldose reductase (-106) C/T gene polymorphism and associated risk factors with proliferative diabetic retinopathy in Palestine: A cross sectional study.

Genetic variants play a crucial role in the development of diabetic retinopathy (DR). Therefore, our study aimed to investigate the relationship between aldose reductase (ALR2) (C106T) polymorphism with proliferative DR and associated risk factors in Palestinian type 2 diabetic patients. A cross sectional study was conducted at St John Eye Hospital-East Jerusalem in 2020-2021 on patients with DR. All subjects had fundus examination by ophthalmologists and classified according to the severity of retinopathy. Genomic DNA was extracted from whole blood samples and genotyped by amplicon based next generation sequencing. A total of 155 patients were included, of them, 103 (66.5%) were diagnosed with non-proliferative DR (NPDR) and 52 (33.5%) with proliferative DR (PDR). The PDR group had a significantly lower median age (59.5 [IQR: 13.3]) compared to the NPDR group (62 [IQR: 11.5]) (p = 0.04). Additionally, the duration of diabetes was higher in the PDR group (20 [IQR: 9]) compared to the NPDR group (15 [IQR: 10]) (p < 0.001). Conversely, the mean value of diastolic blood pressure was significantly lower in the PDR group (79.2 ± 11.1) compared to the NPDR group (83.4 ± 10.3) (p = 0.02). Logistic regression analysis, revealed that the odds for patients with dyslipidemia to develop PDR were 2.74 times higher than those with NPDR (95% CI: 1.08-6.98) (p = 0.034). Furthermore, the probability of a patient with ≥20 years of diabetes to develop PDR was seven times higher than other patients (95% CI: 1.98-27.91) (p = 0.003). The genotypes distribution of ALR2 gene and its allele frequency showed no statistical differences between the two groups (p > 0.05). The present study showed that duration of diabetes and dyslipidemia were strong indicators for PDR progression, while ALR2 (C106T) polymorphism was not associated with severity of DR.

Relationship between cortisol and diabetic microvascular complications: a retrospective study

ObjectiveWe aimed to investigate whether serum cortisol associate with diabetic microvascular compliments in patients with type 2 diabetes mellitus (T2DM).Materials and methodsThe subjects were recruited from hospitalized patients with T2DM from 2019 to 2021. The odds ratios (OR) and corresponding 95% confidence intervals (CI) in relation to cortisol quartiles were obtained by multiple logistic regression analysis.Results(1) Cortisol level was positively correlated with the severity of microalbuminuria. The OR (95% CI) of microalbuminuria and macroalbuminuria in the last quartile were 3.396 (2.030, 5.682) and 8.407 (3.726, 18.971) compared with the first quartile (p < 0.001). (2) Cortisol level was positively correlated with the severity of diabetic retinopathy (DR). The OR (95% CI) of non-proliferative diabetic retinopathy group (NPDR) and proliferative diabetic retinopathy group (PDR) in the last quartile were 2.007 (1.401, 2.875) and 7.122 (2.525, 20.090) compared with the first quartile. (3) Elevated cortisol level was associated with diabetic peripheral neuropathy. The OR (95% CI) of diabetic peripheral neuropathy (DPN) in the last quartile was 1.956 (1.371, 2.792) and that in the third quartile was 1.854 (1.319, 2.608).ConclusionsHigh serum cortisol levels were significantly associated with diabetic microvascular compliments in inpatients. Its causality remains to be further studied.Clinical trial registration number: ChiCTR2100051749.

HENLE FIBER LAYER THICKNESS AND AREA MEASUREMENT IN TYPE 2 DIABETES MELLITUS WITH AND WITHOUT RETINOPATHY USING A MODIFIED DIRECTIONAL OPTICAL COHERENCE TOMOGRAPHY STRATEGY.

To investigate the thicknesses and areas of Henle fiber layer (HFL), outer nuclear layer, and outer plexiform layer in the eyes of patients with diabetes with no diabetic retinopathy, in eyes with nonproliferative diabetic retinopathy without diabetic macular edema, and in healthy eyes using a modified directional optical coherence tomography strategy. In this prospective study, the no diabetic retinopathy group included 79 participants, the nonproliferative diabetic retinopathy group comprised 68 participants, and the control group had 58 participants. Thicknesses and areas of Henle fiber layer, outer nuclear layer, and outer plexiform layer were measured on a horizontal single optical coherence tomography scan centered on the fovea using directional optical coherence tomography. The foveal, parafoveal, and total HFL were significantly thinner in the nonproliferative diabetic retinopathy group than in the no diabetic retinopathy group and the control group (all P < 0.05). The no diabetic retinopathy group had significantly thinner foveal HFL thickness and area compared with the control group (all P < 0.05). The nonproliferative diabetic retinopathy group had significantly thicker outer nuclear layer thickness and area in all regions than the other groups (all P < 0.05). The outer plexiform layer measurements did not differ between the groups (all P > 0.05). Directional optical coherence tomography provides isolated thickness and area measurement of HFL. In patients with diabetes, the HFL is thinner, and HFL thinning begins before the presence of diabetic retinopathy.