non-DR Group Research Articles

The application and clinical translation of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical transformation.

This study aims to analyze the application and clinical translation value of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical outcomes. A retrospective study was conducted on 300 diabetic patients admitted to our hospital between January 2022 and October 2023. The patients were divided into a diabetic retinopathy group (n=150) and a non-diabetic retinopathy group (n=150). The improved Beetle Antennae Search (IBAS) was used for hyperparameter optimization in machine learning, and a self-evolving machine learning model based on XGBoost was developed. Value analysis was performed on the predictive features for diabetic retinopathy selected through multifactor logistic regression analysis, followed by the construction of a visualization system to calculate the risk of diabetic retinopathy occurrence. Multifactor logistic regression analysis revealed that being male, having a longer disease duration, higher systolic blood pressure, fasting blood glucose, glycosylated hemoglobin, low-density lipoprotein cholesterol, and urine albumin-to-creatinine ratio were risk factors for the development of diabetic retinopathy, while non-pharmacological treatment was a protective factor. The self-evolving machine learning model demonstrated significant performance advantages in early diagnosis and prediction of diabetic retinopathy occurrence. The application of the self-evolving machine learning models can assist in identifying features associated with diabetic retinopathy in clinical settings, enabling early prediction of disease occurrence and aiding in the formulation of treatment plans to improve patient prognosis.

Prevalence and associated factors of diabetic retinopathy among type 2 diabetes in Dongcheng District and Tongzhou District, Beijing City: a cross-sectional study

Objective: Diabetic retinopathy (DR) is the most common cause of adult blindness in China. Screening of DR is important for early detection, prevention, and treatment. However, there is still controversy in the research on the prevalence and risk factors of DR in China. This study was designed to evaluate the prevalence of DR and related risk factors in patients with type 2 diabetes mellitus in Beijing City. Methods: A cross-sectional survey was conducted in in Dongcheng District and Tongzhou District, Beijing City. Patients with type 2 diabetes aged 18-80 years were selected from four communities, and all subjects underwent questionnaires, physical examinations, laboratory examinations and fundus photography. The logistic regression model was used to analyze the associated factors of DR. Results: A total of 1 531 subjects were included, with the median age of 66 years old and the average age of (65.6±7.4) years old, and the glycosylated hemoglobin level in the subjects was 7.2%±1.3%, and the glycosylated hemoglobin compliance rate was 56.0%(857/1 531). A total of 254 patients with diabetic retinopathy were detected, and the prevalence of DR was 16.6%(254/1 531). Among them, there were 218 cases of non-proliferative diabetic retinopathy and 36 cases of proliferative diabetic retinopathy. Compared with the non-DR group, there were statistically significant differences in fasting blood glucose (Z=-3.74, P<0.001), glycosylated hemoglobin(Z=-10.664, P<0.001), urinary microalbumin excretion rate(Z=-7.767,P<0.001), low-density lipoprotein cholesterol(Z=-2.589, P=0.01), and duration of diabetes(Z=-10.189, P<0.001) between the DR group and the non-DR group. Multivariate regression analysis showed that the duration of diabetes (OR=1.08, 95%CI: 1.06-1.10, P<0.001), glycosylated hemoglobin (OR=1.38, 95%CI: 1.23-1.55, P<0.001), and FPG (OR=1.11, 95%CI: 1.03-1.19, P=0.008) were associated factors for DR. Conclusion: In this study, the prevalence of DR in 4 communities of type 2 diabetes in Beijing City was 16.6%. Besides, this study further confirmed that the duration of diabetes, fasting blood glucose levels, and glycosylated hemoglobin are associated factors for DR in patients with type 2 diabetes.

Retinal and Choroidal Phenotypes Across Novel Subtypes of Type 2 Diabetes Mellitus

PurposeThis study aimed to investigate longitudinal changes in choroidal thickness (CT) and ganglion cell-inner plexiform layer thickness (GC-IPLT) across distinct phenotypes of type 2 diabetes mellitus (T2DM) patients. DesignProspective observational cohort study. MethodsT2DM patients were categorized into five groups (SAID, SIDD, SIRD, MOD, and MARD) using K-means clustering based on β-cell function and insulin resistance. Swept-source optical coherence tomography measured baseline and 4-year follow-up CT and GC-IPLT. Linear mixed-effects models assessed absolute and relative changes in CT and GC-IPLT across subtypes. ResultsOver a median 4.11-year follow-up, CT and GC-IPLT decreased significantly across all groups. Choroidal thinning rates were most pronounced in SIDD (-6.5±0.53 µm/year and -3.5±0.24%/year) and SAID (-6.27±0.8 µm/year and -3.19±0.37%/year), while MARD showed the slowest thinning (-3.63±0.34 µm/year and -1.98±0.25%/year). SIRD exhibited the greatest GC-IPLT loss (-0.66±0.05 µm/year and -0.91±0.07%/year), with the least in SIDD (-0.36±0.05 µm/year and -0.49±0.07%/year), all statistically significant (Ps < 0.001). Adjusted for variables, SIDD and SAID groups showed faster CT thinning than MARD [-2.57 µm/year (95% CI: -4.16 to -0.97; P=0.002) and -2.89 µm/year (95% CI: -4.12 to -1.66; P<0.001), respectively]. GC-IPLT thinning was notably accelerated in SIRD versus MARD, but slowed in SIDD relative to MARD [differences of -0.16 µm/year (95% CI: -0.3 to -0.03; P=0.015) and 0.15 µm/year (95% CI: 0.03 to 0.27; P=0.015), respectively]. Stratified analysis revealed significant differences among non-DR groups. ConclusionsMicrovascular damage in the choroid is associated with SIDD patients, whereas early signs of retinal neurodegeneration are evident in SIRD patients. All these changes may precede the onset of DR.

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...

Incidence and progression of diabetic retinopathy in patients treated with glucagon-like peptide-1 receptor agonists versus sodium-glucose cotransporter 2 inhibitors: A population-based cohort study.

Glucagon-like peptide 1 receptor agonists (GLP1RA) and sodium-glucose cotransporter 2 inhibitors (SGLT2i) are both recommended for patients with diabetes, yet their effects on the development or progression of diabetic retinopathy (DR) are largely unknown. In this retrospective cohort study, data were collected from a nationwide database. Patients with diabetes who initiated treatment with a GLP1RA or SGLT2i between 1 May 2016 and 31 December 2017, were identified. Patients were divided into those with or without a previous diagnosis of DR and then categorized into the GLP1RA and the SGLT2i groups according to drug use. The primary outcome of interest in the DR group was the composite of new-onset proliferative DR, vitreous haemorrhage and tractional retinal detachment (RD). In the non-DR group, the primary outcome was the composite of newly diagnosed DR of any severity, vitreous haemorrhage and RD. In total, 97 413 patients were identified. After matching, 1517 patients were treated with a GLP1RA and 3034 with an SGLT2i in the DR cohort. In the non-DR cohort, 9549 initiated a GLP1RA and 19 098 initiated an SGLT2i. In patients with pre-existing DR, the incidence of any DR progression event was significantly higher in the GLP1RA group than the SGLT2i group (subdistribution hazard ratio 1.50, 95% confidence interval 1.01-2.23), primarily because of the increased risk of tractional RD. In patients without DR at baseline, the risks of all ocular outcomes were similar between the GLP1RA and SGLT2i groups. In patients with diabetes mellitus and established DR, GLP1RA treatment was associated with increased risks of DR progression compared with SGLT2i use.

Risk evaluation for diabetic retinopathy in Chinese renal-biopsied type 2 diabetes mellitus patients.

To investigate diabetic retinopathy (DR) prevalence in Chinese renal-biopsied type 2 diabetes mellitus (T2DM) patients with kidney dysfunction, and to further evaluate its relationship with diabetic nephropathy (DN) incidence and the risk factors for DR development in this population. A total of 84 renal-biopsied T2DM patients were included. Fundus and imaging examinations were employed for DR diagnosis. Demographic information and clinical measures along with renal histopathology were analyzed for comparisons between the DR and non-DR groups. Risk factors on DR development were analyzed with multiple logistic regression. DR prevalence was 50% in total. The incidences of DN, non-diabetic renal disease (NDRD) and mixed-type pathology were 47.6%, 19.0% and 33.3% in the DR group respectively, while 11.9%, 83.3% and 4.8% in the non-DR group. Systolic blood pressure, ratio of urinary albumin to creatine ratio, urinary albumin, 24-hours urinary protein, the incidence and severity of DN histopathology were found statistically increased in the DR group. Multiple logistic regression analysis showed histopathological DN incidence significantly increased the risk of DR development [odds ratio (OR)=21.664, 95% confidential interval (CI) 5.588 to 83.991, P<0.001 for DN, and OR=45.475, 95%CI 6.949 to 297.611, P<0.001 for mixed-type, respectively, in reference to NDRD)], wherein DN severity positively correlated. Renal histopathological evidence indicates DN incidence and severity increases the risk of DR development in Chinese T2DM patients inexperienced of regular fundus examinations.

Relationship Between the Hemoglobin, Albumin, Lymphocyte Count, Platelet Count (HALP) Score and Type 2 Diabetes Retinopathy.

To explore the correlation between hemoglobin, albumin, lymphocyte count, platelet count (HALP) score and type 2 diabetic retinopathy (DR). The study was conducted on 674 patients with type 2 diabetes (T2DM). According to the results of the fundus examination, they were divided into non-diabetic retinopathy group (NDR, n=388) and diabetic retinopathy group (DR, n=286). Collected patients baseline data, calculated HALP score, analyzed the correlation between HALP score and DR. In all patients, male patients and female patients, the HALP score of the DR group was lower than that of the NDR group (P<0.001), and the HALP score was negatively correlated with the incidence of DR (P<0.05). HALP score was independent risk factors for DR, regardless of gender. In male patients, HALP score and DR had a linear relationship, but in female patients, HALP score and DR showed a nonlinear relationship, and HALP score was more sensitive to the onset of DR in male patients. The combined diagnostic model of HALP score, course of disease, SBP and BUN was used to diagnose DR, and it was found that the diagnostic value was the highest among male patients, with AUC of 0.761, sensitivity of 58.3% and specificity of 80.3%. HALP score was an independent risk factor for DR, attention should be paid to monitoring HALP score, especially in male T2DM patients. The accuracy of HALP score, disease course, SBP and BUN combined model diagnosis of DR was high, which can become a biological indicator for early screening of DR.

Meta-analysis of the relationship between ocular and peripheral serum IL-17A and diabetic retinopathy.

A systematic evaluation and Meta-analysis were performed to determine the relationship between IL-17A levels in ocular aqueous and peripheral venous serum samples and diabetic retinopathy (DR). PubMed, Embase, Web of Science, and CNKI databases were searched from the time of library construction to 2023-09-20.The results were combined using a random-effects model, sensitivity analyses were performed to determine whether the arithmetic was stable and reliable, and subgroup analyses were used to look for possible sources of heterogeneity. A total of 7 case-control studies were included. The level of IL-17A was higher in the Nonproliferative DR(NPDR) group than in the Non-DR(NDR) group [SMD=2.07,95%CI(0.45,3.68),P=0.01], and the level of IL-17A in the proliferating DR(PDR) group was higher than that of the NDR group [SMD=4.66,95%CI(1.23,8.08),P<0.00001]. IL-17A levels in peripheral serum and atrial fluid were significantly higher in NPDR and PDR patients than in non-DR patients in subgroup analyses, and detection of peripheral serum IL-17A concentrations could help to assess the risk of progression from NPDR to PDR. Sensitivity analyses suggested that the results of the random-effects arithmetic were stable and reliable. Subgroup analyses based on assay method and sample source showed that the choice of these factors would largely influence the relationship between IL-17A levels and DR. Elevated peripheral serum and ocular aqueous humor IL-17A levels in diabetic patients are associated with the risk of DR, IL-17A may serve as a potential predictor or therapeutic target for DR, and IL-17A may be an important predictor of inflammation for the progression of NPDR to PDR. https://www.crd.york.ac.uk/prospero/, identifier CRD42024532900.

Analyzing the changing trend of corneal biomechanical properties under different influencing factors in T2DM patients

To analyze the changing trend of CH and CRF values under different influencing factors in T2DM patients. A total of 650 patients with T2DM were included. We discovered that the course of T2DM, smoking history, BMI, and FBG, DR, HbA1c, TC, TG, and LDL-C levels were common risk factors for T2DM, while HDL-C levels were a protective factor. Analyzing the CH and CRF values according to the course of diabetes, we discovered that as T2DM continued to persist, the values of CH and CRF gradually decreased. Moreover, with the increase in FBG levels and the accumulation of HbA1c, the values of CH and CRF gradually decreased. In addition, in patients with HbA1c (%) > 12, the values of CH and CRF decreased the most, falling by 1.85 ± 0.33 mmHg and 1.28 ± 0.69 mmHg, respectively. Compared with the non-DR group, the CH and CRF values gradually decreased in the mild-NPDR, moderate-NPDR, severe-NPDR and PDR groups, with the lowest CH and CRF values in the PDR group. In patients with T2DM, early measurement of corneal biomechanical properties to evaluate the change trend of CH and CRF values in different situations will help to identify and prevent diabetic keratopathy in a timely manner.

The Association between Diabetic Retinopathy and Macular Degeneration: A Nationwide Population-Based Study.

Age-related macular degeneration (AMD), particularly its exudative form, is a primary cause of vision impairment in older adults. As diabetes becomes increasingly prevalent in aging, it is crucial to explore the potential relationship between diabetic retinopathy (DR) and AMD. This study aimed to assess the risk of developing overall, non-exudative, and exudative AMD in individuals with DR compared to those without retinopathy (non-DR) based on a nationwide population study in Taiwan. A retrospective cohort study was conducted using the Taiwan National Health Insurance Database (NHIRD) (2000-2013). A total of 3413 patients were placed in the study group (DR) and 13,652 in the control group (non-DR) for analysis. Kaplan-Meier analysis and the Cox proportional hazards model were used to calculate the hazard ratios (HRs) and adjusted hazard ratios (aHRs) for the development of AMD, adjusting for confounding factors, such as age, sex, and comorbid conditions. Kaplan-Meier survival analysis indicated a significantly higher cumulative incidence of AMD in the DR group compared to the non-DR group (log-rank test, p < 0.001). Adjusted analyses revealed that individuals with DR faced a greater risk of overall AMD, with an aHR of 3.50 (95% CI = 3.10-3.95). For senile (unspecified) AMD, the aHR was 3.45 (95% CI = 3.04-3.92); for non-exudative senile AMD, it was 2.92 (95% CI = 2.08-4.09); and for exudative AMD, the aHR was 3.92 (95% CI = 2.51-6.14). DR is a significant risk factor for both overall, senile, exudative, and non-exudative AMD, even after adjusting for demographic and comorbid conditions. DR patients tend to have a higher prevalence of vascular comorbidities; however, our findings indicate that the ocular pathologies inherent to DR might have a more significant impact on the progression to AMD. Early detection and appropriate treatment of AMD is critically important among DR patients.

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.

Dietary Inflammatory Index and diabetic retinopathy risk in US adults: findings from NHANES (2005–2008)

BackgroundInflammation is associated with the pathophysiology of diabetic retinopathy (DR). Within the framework of complete dietary patterns, the Dietary Inflammatory Index (DII) was formulated to evaluate the inflammatory properties inherent in a diet. The main purpose of the current study was to assess the relationship between DII and DR using National Health and Nutrition Examination Survey (NHANES).MethodsThe original sample size included 1,148 diabetes patients out of 2005–2008 NHANES surveys. Twenty-four-hour dietary consumptions were used to calculate the DII scores. Demographic characteristics and retina examinations were collected for the comparison between DR and non-DR groups in diabetes patients. The relationship between DII and DR was analyzed by a logistic regression model.Results227 subjects (110 non-DR and 117 DR) were selected in the analyses by using undersampling method to balance the sample size. Compared with non-DR group, DR group had higher DII values (1.14 ± 0.29 vs. 1.49 ± 0.21, p = 0.32), higher levels of HbA1c (6.8 ± 1.1% vs. 7.7 ± 2.6%, p < 0.001), longer duration of diabetes (6.52 ± 12 years vs. 14 ± 11 years, p < 0.001). The odds rate (OR) of DII for DR from the logistic regression was 1.38 (95%CI 1.06–1.81, p < 0.001). HbA1c, diabetes duration and obesity were important influencing factors, and their ORs were 1.81 (95% CI:1.31–2.50), 1.12 (95%CI:1.04–1.20), 4.01 (95%CI:1.12–14.32), respectively. In addition, the most important dietary indices for DR were different across males and females.ConclusionsThe current study demonstrates that a higher DII is associated with an increased risk of DR in US adults. Considering diet as a modifiable factor, limiting pro-inflammatory diets or encouraging an anti-inflammatory diet may be a promising and cost-effective method in the management of DR.

Association between serum heavy metal levels and diabetic retinopathy in NHANES 2011–2020

The present study utilized the National Health and Nutrition Examination Survey (NHANES) database to examine the relationship between serum levels of heavy metals and Diabetic retinopathy (DR) in individuals aged over 30 years with type 2 diabetes mellitus (T2DM) in the United States. A cross-sectional analysis was conducted on 1583 individuals with T2DM from the NHANES 2011–2020, including 331 individuals in the DR group and 1252 individuals in the non-DR group. We collected data on serum levels of heavy metals, DR, and serum albumin for descriptive statistics, linear regression, and logistical regression analysis. After adjusting for age, gender, race and other factors, there was no statistically significant association between blood cadmium, selenium, mercury, or lead and DR. However, serum manganese (Mn) and DR had a significant negative association (β = − 0.2045, 95% CI = − 0.3484, − 0.0606). Serum albumin partially modulated the indirect influence of serum Mn on the incidence of DR, accounting for 12.80% of the association between serum Mn and DR. There was a negative association between serum Mn levels and the prevalence of DR in people with T2DM. Mn intake at least in this study has a little influence on the onset and development of DR.

Correlation Between Glycolipid Metabolism Levels and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus.

We investigate the correlation between glucose and lipid metabolism and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and its diagnostic and predictive value. A retrospective analysis involved 620 patients diagnosed with T2DM, categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=340) and the diabetic retinopathy group (DR, n=280). We collected baseline patient data, calculated the ratio of glycated hemoglobin (HbA1c) to high-density lipoprotein cholesterol (HDL-C), and analyzed its association with Type 2 Diabetic Retinopathy. HbA1c/HDL-C in DR group exhibited significantly higher than the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis indicated a notable linear trend (P<0.001) between HbA1c/HDL-C and DR. HbA1c/HDL-C revealed moderate positive correlations with DR, r=0.342, P<0.001. Binary logistic regression analysis showed systolic blood pressure (SBP), diabetes course, fasting blood glucose (FBG) and HbA1c/HDL-C as independent risk factors for DR in T2DM patients. Restrictive cubic spline analysis demonstrated a significant nonlinear relationship between HbA1c/HDL-C and DR (P total trend <0.001, P nonlinear = 0.0196). ROC curve analysis identified that HbA1c/HDL-C had the highest diagnostic accuracy for DR, with an area under the ROC curve (AUC) of 0.711, 53.2% sensitivity, and 78.2% specificity. Our study shows that HbA1c/HDL-C is an independent risk factor for DR in patients with type 2 diabetes. HbA1c/HDL-C has good diagnostic value for DR and can be used as a biological index for early screening of DR.

Assessment of Globulin Levels and Albumin-to-globulin Ratio in Patients with Type 2 Diabetes and Retinopathy: A Retrospective Single-center Study

Background: Diabetes is a global health burden, with diabetic retinopathy (DR) repeatedly arising as an inflammatory complication. This study aims to evaluate routine blood measures as inflammatory markers in DR. Methods: A cross-sectional study was conducted on patients with type 2 diabetes (T2D) attending an outpatient clinic at a tertiary care hospital. Data on glycated hemoglobin (HbA1c), C-reactive protein (CRP), total protein, albumin, and globulin were retrospectively collected from medical records. Data analysis involved independent t-tests, Mann-Whitney, and Pearson's correlation. Results: Encrypted data were collected and analyzed for 139 diabetic patients (70 DR, 69 non-DR). The mean globulin levels were significantly higher in the DR group compared to the non-DR group (30.1g/L±5.04 and 18g/L±9.14, respectively, p&lt;0.001). Moreover, the DR group had a lower mean albumin-to-globulin ratio than the non-DR group (1.3±0.33 and 2.8±2.06, respectively, p&lt;0.001) and a higher mean HbA1c level (8±1.49 and 7.4±1.58, respectively, p=0.020). A weak negative correlation between globulin and albumin levels was detected, with a Pearson's correlation coefficient of -0.085 (p=0.482). Mean values of total protein, albumin, and CRP differed between groups but were not statistically significant (p=0.133, 0.763, 0.396 respectively). Conclusion: The study highlights the potential use of routine blood biomarkers as useful indicators for DR in T2D. The observed increase in serum globulin levels and the negative correlation with albumin provide important insights into the pathophysiology of DR. However, further research is necessary to elucidate the mechanisms behind these associations and evaluate the clinical usefulness of these biomarkers.

Association of SDF-1 and its receptor CXCR4 polymorphisms on the susceptibility of diabetic retinopathy in the Taiwanese population

Stromal cell-derived factor-1 (SDF-1) and its receptor CXC chemokine 4 (CXCR4) have been demonstrated to play critical roles in diabetic retinopathy (DR). This study investigated whether single-nucleotide polymorphisms (SNPs) of SDF-1 and its receptor CXCR4 are correlated with diabetic retinopathy (DR). Three SDF-1 SNPs, namely, rs1801157 (G/A), rs2297630 (G/A), and rs266085 (T/C), and two CXCR4 SNPs, namely, rs2228014 (C/T) and rs6430612 (C/T), were chosen and genotyped via the TaqMan allelic discrimination for 454 non-DR subjects and 276 DR individuals. Our results revealed that subjects carrying SDF-1 SNP rs2297630 GA (AOR: 2.962, 95% CI: 1.279-6.861, p = 0.011) and SDF-1 SNP rs2297630 GA + AA (AOR: 3.095, 95% CI: 1.394-6.872, p = 0.006) had significantly higher risk in the non-proliferative diabetic retinopathy (NPDR) groups than in the non-DR group. Further analyses using the datasets from the Genotype-Tissue Expression (GTEx) Portal revealed that SDF-1 SNP rs2297630 GA and AA genotypic variants have higher SDF-1 expression than the GG wild-type alleles (p = 0.000016). In conclusion, our findings revealed that SDF-1 SNP rs2297630 was associated with NPDR.

Association between area under the C-peptide curve during an oral glucose tolerance test and diabetic retinopathy in type 2 diabetes patients.

To evaluate the relative contributions of the area under the C-peptide curve (AUCC ) in diabetic retinopathy (DR) during an oral glucose tolerance test and C-peptide release test in patients with type 2 diabetes. We retrospectively analyzed the data of 969 patients. Their general characteristics were retrieved. A series of parameters for assessing pancreatic β-cells function, such as the AUCC for six time periods: 0-60 min (AUCC0-60 ), 0-120 min (AUCC0-120 ), 0-180 min (AUCC0-180 ), 60-120 min (AUCC60-120 ), 60-180 min (AUCC60-180 ) and 120-180 min (AUCC120-180 ); the area under the glucose-time curve for six time periods: 0-60 min (AUCG0-60 ), 0-120 min (AUCG0-120 ), 0-180 min (AUCG0-180 ), 60-120 min (AUCG60-120 ), 60-180 min (AUCG60-180 ) and 120-180 min (AUCG120-180 ) and their related indexes, were calculated through 0-180 min oral glucose tolerance test and C-peptide release test. We used univariate analysis to examine the potential factors affecting DR. Spearman's correlation was used to analyze the correlation between AUCC -related indexes and DR. The logistic regression model was used to investigate AUCC and its related indexes' contribution to incidence DR. A smooth curve fitting model was used to determine the correlation, non-linear relationship, and threshold effect between AUCC and DR. Of the 969 patients with type 2 diabetes, 469 (48.40%) and 500 (51.60%) were classified as the DR group and non-DR group. Compared with the non-DR group, the DR patients had lower AUCC and AUCC /AUCG . Spearman's correlation analysis showed that AUCC -related indexes were all negatively correlated with DR. The logistic regression analysis determined that there were associations between AUCC and DR in the adjusted models. The odds ratio values of AUCC0-60 , AUCC0-120 , AUCC0-180 , AUCC0-60 /AUCG0-60 , AUCC0-120 /AUCG0-120 , AUCC0-180 /AUCG0-180 , AUCC60-120 , AUCC60-180 , AUCC120-180 , AUCC60-120 /AUCG60-120 , AUCC60-180 /AUCG60-180 and AUCC120-180 /AUCG120-180 were 0.817 (0.750, 0.890), 0.925 (0.895, 0.955), 0.951 (0.932, 0.970), 0.143 (0.060, 0.340), 0.194 (0.093, 0.406), 0.223 (0.116, 0.427), 0.886 (0.842, 0.933), 0.939 (0.915, 0.963), 0.887 (0.846, 0.930), 0.253 (0.133, 0.479), 0.282 (0.160, 0.497) and 0.355 (0.220, 0.573), respectively. AUCC showed a non-linear relationship with DR, with an inflection point. The inflection points of AUCC180 /AUCG180 , AUCC60-120 , AUCC60-180 , AUCC120-180 , AUCC60-120 /AUCG60-120 , AUCC60-180 /AUCG60-180 , AUCC120-180 /AUCG120-180 and DR were 17.51, 0.542, 6.6, 15.7, 8.23, 0.534, 0.593 and 0.808 (P < 0.0001). When the indexes related to the AUCC were less than the inflection point value, they were significantly negatively associated with DR. The indexes related to the AUCC for six time periods during an oral glucose tolerance test and C-peptide release test was closely associated with the incidence to DR in patients with type 2 diabetes. AUCC has the added advantage of being a cheap and convenient risk assessment over traditional ophthalmic screening.

Exploring the Correlation Between the Systemic Immune Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), and Type 2 Diabetic Retinopathy.

Systemic immune inflammation index (SII), systemic inflammatory response index (SIRI) are new inflammation indicators calculated after integrating multiple indicators in blood routine. This study aims to investigate the correlation between the SII, SIRI and type 2 diabetic retinopathy (T2DR) and the diagnostic significance of these indices in T2DR. A retrospective analysis involved 500 patients diagnosed with type 2 diabetes (T2DM), categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=256) and the diabetic retinopathy group (DR, n=244). We calculated SII and SIRI, and analyzed their associations with T2DR. The DR group exhibited significantly higher SII and SIRI values compared to the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis revealed a notable linear trend (P<0.001) between SII, SIRI, and DR. SII and SIRI exhibited moderate positive correlations with DR, (r=0.354, P<0.001; r=0.469, P<0.001), respectively. Binary logistic regression analysis identified SII and SIRI as independent risk factors for DR. Restrictive cubic spline analysis demonstrated a significant linear relationship between SII and DR (P total trend <0.001, P nonlinear = 0.0657). Stratification by gender indicated that SII is more sensitive to the onset of DR in men. A significant nonlinear relationship was observed between SIRI and DR (P total trend <0.001, P nonlinear = 0.0025), with no gender-related differences in SIRI's association with DR. ROC curve analysis demonstrated that the combined use of SII and SIRI achieved the highest diagnostic accuracy for DR, with an AUC of 0.782, 74.6% sensitivity, and 69.9% specificity. Our findings suggested that SII and SIRI as independent risk factors for DR. The high accuracy of SII combined with SIRI in diagnosing DR underscores their potential as early biological indicators for DR diagnosis.

Systemic Inflammatory Mediator Levels in Non-Proliferative Diabetic Retinopathy Patients with Diabetic Macular Edema

Purpose To study the systemic inflammatory mediator levels in non-proliferative diabetic retinopathy (NPDR) patients with diabetic macular edema (DME) and explore the correlation between systemic inflammatory mediators and DME. Methods In this prospective study, we included 25 patients without diabetes (control group) and 75 patients with type 2 diabetes mellitus (diabetic group). According to fundus examination, the diabetic group patients were divided into: diabetic patients without diabetic retinopathy (DR) (Non-DR group), NPDR patients without DME (Non-DME group), and NPDR patients with DME (DME group). Serum levels of a broad panel of inflammatory mediators were analysed by multiplex protein quantitative detection technology based on a flow cytometry detection system. Results The interferon-γ (IFN-γ) levels were significantly higher in DME group and Non-DME group as compared to control group (p = 0.023 and p = 0.033) and Non-DR group (p = 0.009 and p = 0.015). Significantly higher values were obtained in DME group and Non-DME group as compared to control group for the interleukin-8 (IL-8) (p = 0.003 and p = 0.003). The IL-23 levels were significantly elevated in DME group and Non-DR group than in Non-DME group (p = 0.013 and p = 0.004). The diabetic group had significantly higher serum levels of IL-8 and IL-33 (p = 0.001 and p = 0.011), and lower serum levels of tumor necrosis factor-α (TNF-α) (p = 0.027) in comparison with control group. Conclusions The changed levels of serum inflammatory mediators suggest that the systemic inflammatory mediators are involved in the pathogenesis of NPDR patients with DME. Such effects can guide clinical monitoring, diagnostic and therapeutic approaches for DME patients at an early stage.

The impact of multiple metals exposure on the risk of developing proliferative diabetic retinopathy in Anhui, China: a case-control study.

Through multiple different pathways, the environmental multiple metals make their ways to the human bodies, where they induce different levels of the oxidative stress response. This study further investigated the impact of multiple-metal exposure on the risk of developing proliferative diabetic retinopathy (PDR). We designed a case-control study with type 2 diabetic patients (T2D), in which the case group was the proliferative diabetic retinopathy group (PDR group), while the control group was the non-diabetic retinopathy group (NDR group). Graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma optical emission spectrometry (ICP-OES) were used to detect the metal levels in our participants' urine samples. The least absolute shrinkage and selection operator (LASSO) regression approach was used to include these representative trace elements in a multiple exposure model. Following that, logistic regression models and Bayesian kernel machine regression (BKMR) models were used to describe the effect of different elements and also analyze their combined effect. In the single-element model, we discovered that lithium (Li), cadmium (Cd), and strontium (Sr) were all positively related to PDR. The multiple-exposure model revealed a positive relationship between Li and PDR risk, with a maximum quartile OR of 2.80 (95% CI: 1.10-7.16). The BKMR model also revealed that selenium (Se) might act as a protective agent, whereas magnesium (Mg), Li, and Cd may raise the risk of PDR. In conclusion, our study not only revealed an association between exposure to multiple metals and PDR risk but it also implied that urine samples might be a useful tool to assess PDR risk.