Abstract
Purpose
The purpose of this study was to investigate aqueous humor total antioxidant capacity (TAC) and ascorbic acid (AA) levels of patients with diabetic retinopathy (DR), and their correlation with serum glycated hemoglobin (HbA1c) levels.
Methods
This case-control study enrolled 177 eyes from 177 patients that underwent cataract surgery between April 2019 and November 2022 in Chang Gung Memorial Hospital. Group 1 comprised 103 eyes from patients without diabetes; group 2 comprised 40 eyes from patients with diabetes but without DR; and group 3 comprised 34 eyes from patients with DR. Aqueous humor samples were collected and analyzed for TAC and AA levels using the ferric reducing/antioxidant AA assay.
Results
Aqueous humor TAC and AA levels were decreased in group 3 compared with group 2 and group 1 (P < 0.001 and P < 0.001). Aqueous humor TAC and AA levels were independent protective factors against DR in the diabetes population, with adjusted odds ratios of 0.109 (95% confidence interval [CI] = 0.017–0.719, P = 0.021) and 0.095 (95% CI = 0.012–0.726, P = 0.023), respectively. Aqueous humor TAC and AA concentrations were weakly negatively correlated with serum HbA1c levels, with Pearson's correlation coefficients of −0.339 (P = 0.013) and −0.341 (P = 0.012), respectively.
Conclusions
TAC and AA had protective effects against DR. Decreased aqueous humor TAC and AA levels may serve as potential biomarkers for DR among the diabetes population.
Translational Relevance
This study highlights the role of antioxidants in DR and provides foundation for future research on AA supplementation's potential for the prophylaxis and treatment of DR.
Keywords: diabetic retinopathy (DR), total antioxidant capacity (TAC), ascorbic acid (AA), aqueous humor, glycated hemoglobin A (HbA1c)
Introduction
Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus (DM) with an estimated global prevalence of 22.27% within the DM population in 2020, affecting more than 103 million people.1 According to the Global Burden of Disease Study in 2020, DR is the fifth leading cause of blindness, with approximately 0.86 million cases in the population aged 50 years and older worldwide.2 DR is usually asymptomatic until irreversible damage to the eyes occurs and leads to visual impairment. Therefore, understanding the pathogenesis and identifying potential biomarkers are the top priorities for the early detection and prevention of DR development in patients with DM.
Multiple and complex pathogenic pathways have been implicated in the development of DR. However, the primary mechanism of DR pathophysiology remains controversial. One of the crucial metabolic pathways that take part in the pathogenesis of DR is the hyperglycemia-induced imbalance between oxidative stress and antioxidant defenses. Overproduction and impaired removal of reactive oxygen species (ROS) lead to overactivation of four alternative pathways of glucose metabolism, that is, the polyol pathway, advanced glycation end products (AGEs) formation, the protein kinase C (PKC) pathway, and the hexosamine pathway. All four pathways result in stimulation of oxidative stress, leading to vascular endothelial damage, loss of pericytes, retinal neuron cell apoptosis, and inflammatory breakdown of the blood‒retinal barrier. As retinal hypoperfusion progresses, neovascularization develops in response to vascular endothelial growth factor (VEGF) produced by ischemic retinal tissue.3,4
Enzymatic and nonenzymatic antioxidants in the serum,5–16 aqueous humor,6,17–19 and vitreous body6,19–23 can serve as biomarkers for DR. Antioxidants in the aqueous humor are more appropriate biomarkers for DR than antioxidants both in the serum and vitreous body because of the blood‒ocular barrier separating the serum from the retina and the less invasive nature of aqueous humor collection versus vitreous humor collection. In addition, there is a significant correlation between the levels of antioxidants in the aqueous humor and the vitreous body.19,24 Due to the possible synergistic or antagonistic effects among the antioxidants in ocular tissues, analysis of total antioxidant capacity (TAC) would be more relevant than measurement of individual antioxidant biomarkers. Previous studies of TAC levels in the aqueous humor of patients with DR demonstrated varied results.15,17–19,25
Levels of ascorbic acid (AA), also known as vitamin C, were proven to be the most abundant antioxidant in the aqueous humor, accounting for up to 73.2% of TAC in the aqueous humor.26 In vitro studies have demonstrated that AA protects human retinal pigment epithelial cells (RPECs) and blood‒retinal barrier from high-glucose-induced ROS stress and cellular damage.27–29 Decreased AA levels in the aqueous humor were related to insufficiency of corneal endothelial cell density,26 glaucoma,30 and age-related nuclear cataracts.31 However, whether the AA levels in the aqueous humor were decreased in the DR population compared with the DM population has not been investigated. Although serum prooxidant-antioxidant balance and serum AA levels are significantly associated with poor glycemic control,32,33 the relationship between the antioxidant levels of ocular tissues and proper glycemic control has not yet been elucidated.
In this study, we aimed to investigate whether TAC and AA levels decrease in the aqueous humor of patients with DR. We further evaluated the correlation between antioxidant levels in the aqueous humor and serum glycated hemoglobin (HbA1c) levels.
Materials and Methods
This case-control study was approved by the Institutional Review Board (IRB) of Chang Gung Memorial Hospital, Linkou, Taiwan in 2019 (IRB number: 201900017B0). The study conformed to the provisions and tenets of the Declaration of Helsinki. All patients participating in this study provided written informed consent after receiving an explanation of the nature and possible consequences of the study.
Patient Recruitment and Grouping
Patients over 20 years of age who underwent cataract surgery between April 2019 and November 2022 in Chang Gung Memorial Hospital, Linkou, were enrolled in this study. Patients with a history of ocular infection, uveitis, prior ocular surgery, or AA supplementation were excluded.
Patients included in this study were classified into three groups according to the presence of type 2 DM and/or DR. Group 1 (the control group) comprised patients without diabetes, group 2 comprised patients with diabetes without DR, and group 3 comprised patients with DR. The diagnosis of DM was based on the World Health Organization criteria.34 DR was diagnosed with fundus photography and indirect ophthalmoscopy according to the Early Treatment Diabetic Retinopathy Study criteria.35
For sample size estimation, a power analysis was conducted by G*Power 3.1 (Franz Faul, University of Kiel, Kiel, Germany) based on a pilot study with 45 subjects. A total sample size of at least 66 samples was considered sufficient in this study, to reach the power of 0.8 with an α value of 0.05 by 1-way independent samples analysis of variance (ANOVA).
Sample Collection and Clinical Data Acquisition
Aqueous humor samples (50–100 µL) from each eye were aspirated using limbal paracentesis with a 27-gauge needle at the beginning of the cataract surgery. The aqueous humor samples were immediately stored at −80°C and protected from light until laboratory analysis within 2 weeks. All patients underwent thorough ophthalmologic examinations by autorefractometer (KR-7000; Topcon Corp., Tokyo, Japan), pneumatic tonometry (Topcon c60; Topcon Corp., Tokyo, Japan), slit lamp (BQ 900; Haag-Streit, Bern, Switzerland), noncontact specular microscope (CEM-530; Nidek, Gamagori, Japan), and optical biometry device (IOL Master 700; Carl Zeiss Meditec AG, Jena, Germany) before cataract surgery. Cataract type and grading were assessed using the Lens Opacities Classification System III (LOCS III) based on slit lamp examination.36 Cataract severity was further quantified by measuring cumulative dissipated energy (CDE; mJ) with the Infiniti Vision System (Alcon Laboratories, Inc., Fort Worth, TX, USA) following the phacoemulsification procedure. Demographic and clinical characteristics of patients were acquired from the electronic medical records. Only serum HbA1c levels measured within 3 months before or after cataract surgery were included in this study.
Laboratory Analysis
TAC and AA levels of the aqueous humor were measured simultaneously using the colorimetric Oxiselect Ascorbic Acid Assay Kit (FRASC; Cell Biolabs, Inc., San Diego, CA, USA). The FRASC assay is based on the ferric reduction reaction and the employment of ascorbic oxidase. Aqueous humor samples were thawed at 4°C, and 35 µL of each sample was diluted 20 times in assay buffer. All standards and samples were analyzed in triplicate, with the results averaged for statistical analysis. Colorimetric results were measured at 540 to 600 nm using an absorbance microplate reader (Sunrise Tecan, Switzerland). The concentrations of TAC and AA were expressed in mmol/L (millimolar [mM]).
All serum and urinary biochemical data, including HbA1c, fasting blood glucose (FBG), uric acid, lipid profile, and renal profile, were measured by the Department of Clinical Laboratory Medicine at Chang Gung Memorial Hospital within 3 months before or after cataract surgery. The lipid profiles were determined by the enzymatic colorimetric method and accelerator selective detergent method using 7600-210 Clinical Analyzers (Hitachi, Tokyo, Japan).
Statistical Analysis
Statistical analyses of the data were performed using IBM SPSS Statistics version 25.0 for Windows (IBM, Armonk, NY, USA). All descriptive statistics were expressed as the mean ± standard deviation (SD), median with interquartile range or proportions as appropriate. For categorical variables, groups were analyzed using the chi-square test. A comparison of continuous variables among the three groups was performed using 1-way ANOVA with Bonferroni post hoc multiple comparisons. We further calculated crude and adjusted odds ratios to determine the association of aqueous humor TAC and AA levels with DR using univariate and multivariate logistic regression analyses. The correlation between TAC and AA with HbA1c was analyzed with Pearson's correlation coefficients. A P value of < 0.05 was considered statistically significant.
Results
Study Population
Overall, 177 eyes from 177 patients were included in this study. Patients were classified into three groups according to the presence of DM and/or DR. Group 1 (the control group) comprised 103 eyes from 103 patients without diabetes, group 2 comprised 40 eyes from 40 patients with diabetes without DR, and group 3 comprised 34 eyes from 34 patients with DR.
The baseline characteristics of each group of patients are summarized in Table 1. There were no significant differences in age, sex, eye site, body mass index (BMI), the proportions of smokers, the presence of dyslipidemia, hypertension, or other underlying systemic diseases among the three groups. Regarding cataract type and severity, the LOCS III grading of posterior subcapsular cataract was significantly higher in group 3 compared with group 1 and group 2 (P = 0.009). Axial length was significantly lower in group 3 compared with group 1 and group 2 (P = 0.018). There were no significant differences in the LOCS III grading of nuclear and cortical cataract, CDE during phacoemulsification, anterior chamber depth, or corneal endothelial cell density among the three groups.
Table 1.
Demographic and Clinical Characteristics of the 177 Patients/Eyes
| Characteristics | Group 1 Control (n = 103) | Group 2 DM Without DR (n = 40) | Group 3 DR (n = 34) | P Value |
|---|---|---|---|---|
| Age, y | 65.93 ± 12.07 | 68.30 ± 8.19 | 62.15 ± 11.34 | 0.062 |
| Male, n (%) | 47 (45.6) | 25 (62.5) | 20 (58.8) | 0.130 |
| OD, n (%) | 43 (41.7) | 21 (52.5) | 18 (52.9) | 0.353 |
| BMI, kg/m2 | 25.04 ± 3.60 | 25.39 ± 3.40 | 25.56 ± 4.12 | 0.733 |
| Underlying systemic diseases | ||||
| Hypertension, n (%) | 41 (39.8) | 21 (52.5) | 21 (61.8) | 0.061 |
| Dyslipidemia, n (%) | 30 (29.1) | 13 (32.5) | 15 (50.0) | 0.081 |
| Smoking, n (%) | 9 (8.7) | 7 (17.5) | 2 (5.9) | 0.195 |
| Other systemic diseases, n (%)a | 39 (37.9) | 15 (37.5) | 14 (41.2) | 0.934 |
| Cataract type and grading | ||||
| LOCS III (Nuclear) | 2.54 ± 0.91 | 2.45 ± 0.76 | 2.14 ± 0.96 | 0.116 |
| LOCS III (Cortical) | 2.38 ± 1.06 | 2.34 ± 0.94 | 1.80 ± 1.25 | 0.070 |
| LOCS III (Posterior subcapsular) | 0.22 ± 0.75b | 0.08 ± 0.36b | 0.63 ± 1.01c | 0.009 |
| CDE during phacoemulsification, mj | 26.84 ± 19.67 | 38.43 ± 31.05 | 25.93 ± 19.92 | 0.062 |
| Biometry | ||||
| Axial length, mm | 24.86 ± 2.29b | 24.41 ± 1.79b | 23.55 ± 1.22c | 0.018 |
| Anterior chamber depth, mm | 3.14 ± 0.45 | 2.98 ± 0.40 | 3.07 ± 0.52 | 0.194 |
| Corneal endothelial cell density, cells/mm2 | 2582.94 ± 330.25 | 2662.04 ± 313.19 | 2738.47 ± 301.76 | 0.142 |
BMI, body max index; CDE, cumulative dissipated energy; DM, diabetes mellitus; DR, diabetic retinopathy; LOCS III, Lens Opacities Classification System III; OD, oculus dexter.
Other systemic diseases include chronic heart diseases, lung diseases, liver diseases, kidney diseases, cerebrovascular diseases, immunocompromised status, and autoimmune diseases.
Intergroup comparison using Bonferroni post hoc test, identical symbols indicate no significant difference among groups, whereas different letters indicate a significant difference among groups.
The P values in bold represent statistical significance.
TAC Levels and AA Levels in the Aqueous Humor
There was a highly positive correlation between TAC and AA concentrations in the aqueous humor, with a Pearson's correlation coefficient of 0.943 (P < 0.001; Fig. 1). The laboratory findings of the patients are shown in Table 2. TAC levels in the aqueous humor were decreased in the DR group (1.08 ± 0.53 mM) compared with the patients with DM without DR group (1.55 ± 0.58 mM, P < 0.001) and the control group (1.59 ± 0.42 mM, P < 0.001) by 1-way ANOVA with Bonferroni post hoc test. The aqueous humor TAC levels were similar between the patients with DM without DR group and the control group (P = 1.000; Fig. 2A). Similarly, AA levels in the aqueous humor were the lowest in the DR group (0.79 ± 0.47 mM) compared with the patients with DM without DR group (1.22 ± 0.52 mM, P < 0.001) and the control group (1.19 ± 0.36 mM, P < 0.001). The aqueous humor AA levels were not significantly different between the patients with DM without DR group and the control group (P = 1.000; Fig. 2B). AA/TAC ratios in the aqueous humor were lower in the DR group (68.43 ± 17.37%) compared with the patients with DM without DR group (76.65 ± 16.20%, P = 0.023). Aqueous humor AA/TAC ratios were similar in the control group (73.79 ± 9.70%) compared to the patients with DM without DR group (P = 0.728) and the DR group (P = 0.120; Fig. 2C).
Figure 1.

Scatter plot illustrating a positive correlation between total antioxidant capacity (TAC) and ascorbic acid (AA) concentrations in the aqueous humor with Pearson's correlation coefficient.
Table 2.
Comparison of Aqueous Humor Antioxidant Levels, Serum Glycated Hemoglobin (HbA1c) Levels, Lipid Profiles, and Renal Profiles Among the Three Groups
| Characteristics | Group 1 Control (n = 103) | Group 2 DM Without DR (n = 40) | Group 3 DR (n = 34) | P Value |
|---|---|---|---|---|
| Aqueous humor | ||||
| TAC, mM | 1.59 ± 0.42a | 1.55 ± 0.58a | 1.08 ± 0.53b | <0.001 |
| AA, mM | 1.19 ± 0.36a | 1.22 ± 0.52a | 0.79 ± 0.47b | <0.001 |
| AA/TAC ratio (%) | 73.79 ± 9.70a,b | 76.65 ± 15.99a | 68.43 ± 17.37b | 0.026 |
| Serum | ||||
| HbA1c (%) | 5.78 ± 0.33a | 7.24 ± 1.32b | 8.09 ± 1.49b | <0.001 |
| FBG, mg/dL | 95.00 ± 12.05a | 124.93 ± 29.75b | 140.54 ± 44.50b | 0.001 |
| Uric acid, mg/dL | 6.13 ± 1.83 | 5.91 ± 1.55 | 6.91 ± 1.10 | 0.421 |
| Lipid profile | ||||
| TG, mg/dL | 141.29 ± 83.10 | 112.80 ± 50.27 | 156.00 ± 111.32 | 0.376 |
| Chol, mg/dL | 173.05 ± 36.40 | 154.19 ± 26.76 | 169.47 ± 48.97 | 0.323 |
| LDL, mg/dL | 103.63 ± 39.14 | 83.94 ± 25.14 | 90.67 ± 32.14 | 0.223 |
| HDL, mg/dL | 45.64 ± 14.07 | 50.77 ± 8.45 | 46.60 ± 11.53 | 0.487 |
| Renal profile | ||||
| BUN, mg/dL | 24.03 ± 20.86 | 23.70 ± 8.45 | 28.31 ± 22.60 | 0.857 |
| Creatinine, mg/dL | 1.44 ± 2.19 | 1.29 ± 1.80 | 2.36 ± 3.24 | 0.326 |
| eGFR, mL/min/1.73m2 | 80.77 ± 33.80 | 72.39 ± 25.59 | 76.00 ± 45.71 | 0.782 |
| ACR, mg/g | 15.44 ± 9.59 | 32.40 ± 46.69 | 1221.37 ± 1772.48 | 0.181 |
AA, ascorbic acid; ACR, urinary albumin to creatinine ratio; BUN, blood urea nitrogen; Chol, total cholesterol; eGFR, estimated glomerular filtration rate; FBG, fasting blood glucose; HbA1c, glycated hemoglobin; HDL, high-density lipoprotein cholesterol; LDL, low-density lipoprotein cholesterol; TAC, total antioxidant capacity; TG, triglycerides.
Intergroup comparison using Bonferroni post hoc test, identical symbols indicate no significant difference among groups, while different letters indicate a significant difference among groups.
The P values in bold represent statistical significance.
Figure 2.
Comparison of total antioxidant capacity (TAC) levels (A), ascorbic acid (AA) levels (B), and AA/TAC ratios (C) in the aqueous humor between eyes from patients with diabetic retinopathy (DR), patients with diabetes without DR, and nondiabetic controls by 1-way ANOVA with Bonferroni post hoc test. The data for each group are presented as individual data points with the means and standard deviations depicted by error bars. *P < 0.05; **P < 0.01; ***P < 0.001.
For serum and urinary biochemical measurements of the patients, HbA1c (P < 0.001), and FBG (P = 0.001) were significantly higher in group 2 and group 3 compared with group 1. There were no significant differences regarding uric acid levels, lipid profiles, blood urea nitrogen (BUN) levels, creatinine levels, estimated glomerular filtration rate (eGFR), or urinary albumin to creatinine ratio (ACR) among the three groups (see Table 2).
The Association of Aqueous Humor TAC and AA Levels With DR
We then evaluated the association of aqueous humor TAC and AA levels with DR using univariate and multivariate logistic regression analyses. In univariate logistic regression models, the crude odds ratios for the association of aqueous humor TAC and AA levels with DR in the DM population were 0.223 (95% CI = 0.089–0.558, P = 0.001) and 0.183 (95% CI = 0.066–0.504, P = 0.001), respectively. In multivariate logistic regression models, the adjusted odds ratios were 0.109 (95% CI = 0.017–0.719, P = 0.021) and 0.095 (95% CI = 0.012–0.726, P = 0.023) after adjusting for age, sex, eye site, BMI, hypertension, dyslipidemia, smokers, underlying systemic diseases, cataract type with grading based on the LOCS III, and axial length as potential confounding factors. The results indicated that TAC and AA levels in the aqueous humor were independent protective factors against DR in the DM population (Table 3).
Table 3.
Univariate and Multivariate Logistic Regression Analyses of the Association of Aqueous Humor Total Antioxidant Capacity (TAC) and Ascorbic Acid (AA) Levels With Diabetic Retinopathy (DR)
| Univariate Analysis | Multivariate Analysis | |||
|---|---|---|---|---|
| Factors | Crude OR (95% CI) | P Value | Adjusted OR (95% CI)a | P Value |
| TAC | ||||
| DM without DR vs. control | 0.831 (0.382–1.807) | 0.640 | 0.799 (0.277–2.186) | 0.854 |
| DR vs. control | 0.136 (0.058–0.318) | <0.001 | 0.193 (0.053–0.705) | 0.013 |
| DR vs. DM without DR | 0.223 (0.089–0.558) | 0.001 | 0.109 (0.017–0.719) | 0.021 |
| Ascorbic acid | ||||
| DM without DR vs. control | 1.234 (0.505–3.012) | 0.645 | 1.443 (0.448–4.645) | 0.538 |
| DR vs. control | 0.128 (0.049–0.335) | <0.001 | 0.170 (0.039–0.748) | 0.019 |
| DR vs. DM without DR | 0.183 (0.066–0.504) | 0.001 | 0.095 (0.012–0.726) | 0.023 |
CI, confidence interval; OR, odds ratio.
Adjusted for age, sex, eye site, BMI, hypertension, dyslipidemia, smokers, underlying systemic diseases, cataract type with grading based on the Lens Opacities Classification System III, and axial length as confounding factors.
The P values in bold represent statistical significance.
The Correlation Between Antioxidant Levels in the Aqueous Humor and HbA1c Levels
We further investigated the relationship between the antioxidant levels in the aqueous humor and long-term glycemic control. There was a weak negative correlation between aqueous humor TAC concentrations and serum HbA1c levels, with a Pearson's correlation coefficient of −0.339 (P = 0.013; Fig. 3A). Similarly, aqueous humor AA concentrations were weakly negatively associated with serum HbA1c levels, with a Pearson's correlation coefficient of −0.341 (P = 0.012; Fig. 3B). There was no significant correlation between aqueous humor AA/TAC ratios and serum HbA1c levels, with a Pearson's correlation coefficient of −0.239 (P = 0.085; Fig. 3C).
Figure 3.
Scatter plots illustrating the correlation between serum glycated hemoglobin (HbA1c) levels and aqueous humor total antioxidant capacity (TAC) concentrations (A), serum HbA1c levels and aqueous humor ascorbic acid (AA) concentrations (B), and serum HbA1c levels and aqueous humor AA/TAC ratios (C) with Pearson's correlation coefficients.
Discussion
The prevalence of DR is increasing as the global epidemic of DM grows. This leads to irreversible vision loss, particularly in working-age adults. Currently, there are no widely adopted effective biomarkers to identify those who are at high risk of developing DR in the DM population, nor is there prophylactic treatment to prevent DR progression before irreversible damage to the eyes occurs, except for glycemic control. In this study, we demonstrated that TAC and AA levels decreased in the aqueous humor of patients with DR compared to those in patients with DM without DR and to those in patients without diabetes (see Table 2). We further verified that TAC and AA levels in the aqueous humor were independent protective factors against the development of DR. This is the first study to indicate that decreased AA levels in the aqueous humor may serve as a potential biomarker for DR development among the diabetes population and to suggest the potential of AA supplementation for prophylaxis of DR.
Depletion of enzymatic and nonenzymatic antioxidants in the serum, aqueous humor, and vitreous body can serve as biomarkers for DR (Table 4). Although DM is a systemic disease, ocular factors are more relevant in the pathogenesis of DR than systemic factors because of the blood‒ocular barrier. AA, one of the most critical elements of the antioxidant defense system in ocular tissues, is actively transported from serum to aqueous humor and vitreous body by a sodium-dependent vitamin C transporter 2 (SVCT2) located in the pigmented ciliary epithelium, resulting in approximately a 20-fold increase in AA levels both in the aqueous humor (1.30 ± 0.62 mM) and the vitreous body (1.28 ± 0.37 mM) in comparison with those in the serum (0.06 ± 0.03 mM).37–40 Existing literature indicates that AA is also present in RPECs, retinal endothelial cells, and retinal capillary pericytes, supported by the presence of SVCT2-dependent and glucose transporter 1 (GLUT 1)-dependent AA transport mechanisms in these cells.41–43 AA is one of the major contributors to TAC both in the aqueous humor26 and the vitreous body.44 Moreover, there is a significantly positive correlation between the levels of AA in the aqueous humor and the vitreous body.6 Because aqueous humor sampling is less invasive than vitreous body collection, analysis of antioxidants in the aqueous humor would be more practical for predicting DR and guiding further antioxidant-based therapy.
Table 4.
Human Endogenous Antioxidant Biomarkers in Diabetic Retinopathy
| Antioxidant Biomarkersa | ||||
|---|---|---|---|---|
| Sample Source | TAC Decrease (↓) No Significant Difference (–) | Enzymatic | Nonenzymatic | References |
| Serum | (↓) 10, 15, 16, 54 | Superoxide | AA | 5–14, 16, 55 |
| (–) 19, 25 | dismutase | Tocopherol | ||
| Catalase | Thiol | |||
| Glutathione | Glutathione | |||
| peroxidase | α-carotene | |||
| Paraoxonase 1 | Copper | |||
| Zinc | ||||
| Aqueous humor | (↓) 17–19 | – | AA | 6 |
| (–) 15, 24 | ||||
| Vitreous body | (↓) 19, 22, 56 | Superoxide dismutase | AA | 6, 20, 21, 23, 57, 58 |
| Catalase | Glutathione | |||
This table only includes antioxidants that are proven to be significantly different in patients with diabetic retinopathy and healthy subjects.
Previous studies of TAC levels in the aqueous humor of patients with DR have produced inconsistent results. Beyazyıldız et al., Bozkurt et al., and Mancino et al. reported that TAC levels in the aqueous humor of patients with DR were significantly impaired, which is consistent with the results from our study.17–19 However, Kulaksızoglu et al. and Kirboga et al. revealed no significant difference in the aqueous humor TAC levels between patients with DR and the control groups without diabetes.15,25 The discrepancy in the results of Kulaksızoglu et al. and Kirboga et al. might be due to relatively small sample sizes and relatively inappropriate measuring methods for TAC. Due to the complexity of enzymatic and nonenzymatic antioxidants contributing to TAC, none of the existing TAC assays can thoroughly detect the antioxidant capacity of all antioxidants in the aqueous humor. TAC assays using colorimetric changes based on the redox reaction of metal ions are a relatively appropriate method to evaluate aqueous humor TAC levels because small molecular antioxidants are the major components of antioxidant defensive systems in the aqueous humor.45 Our study provided rather convincing evidence that TAC decreased in the aqueous humor of DR with the largest sample size to date using the FRASC assay based on ferric reduction reaction analysis.
AA is the most noteworthy antioxidant among the enzymatic and nonenzymatic antioxidants in the aqueous humor. One reason is that AA contributes up to 73.2% of TAC in the aqueous humor.26 Another reason is that AA supplements are more accessible for further therapeutic and prophylactical applications than other enzymatic and nonenzymatic antioxidants with minimal side effects. Park et al. reported that aqueous humor AA levels were lower in patients with proliferative DR than in healthy controls without diabetes.6 Our study extended previous research and found that aqueous humor AA levels were lower in patients with DR than in patients with DM without DR and nondiabetic healthy controls. In addition, the aqueous humor AA levels were similar between the patients with DM without DR and the nondiabetic healthy controls. The results of our study implied that depletion of AA may play an important role in the development of DR in the DM populations aside from long-term poor glycemic control. Moreover, we found that AA was a protective factor against DR in the DM population with an adjusted odds ratio of 0.095 (95% CI = 0.012–0.726, P = 0.023). The ratio of AA to TAC in the aqueous humor was also reduced in the DR group compared with the patients with DM without DR group. The potential pathogenic mechanisms underlying ocular depletion of AA in patients with DR may include excessive consumption by ROS and impaired secretion due to dysfunction of the AA transporters.29,43,46 Further investigation is merited to identify which antioxidants compensate for the depletion of AA.
In vivo studies have revealed that oxidative stress contributes not only to the onset of DR but also to the persistence of DR even after reinstitution of glycemic control. This metabolic memory is attributed to the accumulation of ROS, which are not easily eliminated after the restoration of normoglycemia.47 Consequently, adequate levels of antioxidants in ocular tissues are essential for scavenging ROS and preventing DR progression. Our study is the first to investigate the relationship between the antioxidant levels of ocular tissues and proper glycemic control. We have demonstrated that the aqueous humor TAC and AA concentrations were weakly negatively correlated with serum HbA1c levels. Together with the studies mentioned above, the combination of AA supplementation and glycemic control might be more efficacious than glycemic control alone for prophylaxis and treatment of DR. Previously, dietary intake of AA has been studied for the treatment of DR. Tanaka et al. reported a protective effect of dietary AA intake against the incidence of DR with a hazard ratio of 0.66 (95% CI = 0.39–0.96, P = 0.03) in a cohort study.48 Milan et al. observed that there was no significant overall association between the risk of retinopathy and the intake of dietary AA in a cohort study.49 In contrast, Mayer-Davis et al. reported that increased intake of AA was a risk factor for increased severity of DR, with an odds ratio of 2.21 (P = 0.01) in a cross‒sectional study.50 Experimentally, AA was found to suppress VEGF expression in RPECs51 and diminish the oxidative damage within human RPECs in oxidative stress models.27,28,52 AA together with valproic acid may alleviate ROS-induced damage to the retina by promoting human fetal RPECs proliferation and regeneration.53 In addition, AA may maintain the integrity of the blood‒retinal barrier by mitigating the loss and dysfunction of retinal endothelial cells and capillary pericytes.29 (Walker K, et al. IOVS 2023;64:ARVO E-Abstract 995) The potential role of AA for prophylaxis and treatment of DR remains open to debate and is worthy of further research.
There are several limitations to our study. First, we did not classify patients with DR into subgroups according to the severity of DR because of the relatively small number of patients with DR enrolled. Second, we did not assess the duration of DM reported by the patients due to potential recall bias. Third, examining aqueous humor TAC and AA levels repeatedly in a longitudinal study is not very appropriate, as obtaining aqueous humor samples is an invasive procedure. Thus, we could only measure TAC and AA levels once for each subject in a retrospective study design. This restricted our capacity to observe the fluctuation in TAC and AA levels as DR status progressed over time. Further large-scale clinical trials are warranted to verify the prophylactic and therapeutic applicability of AA supplements through systemic, topical, intravitreal, and periocular administration routes for preventing the development of DR in the diabetes population and decelerating the deterioration of existing DR.
In conclusion, our study demonstrated that TAC and AA levels decreased in the aqueous humor of patients with DR compared with those of patients with DM without DR and to those of patients without diabetes. We further verified the protective effect of TAC and AA against DR. In addition, aqueous humor TAC and AA concentrations were weakly negatively correlated with serum HbA1c levels. Decreased TAC and AA levels in the aqueous humor may serve as potential biomarkers for DR among the diabetes population. These results also suggest the need for further studies to evaluate the efficacy of AA supplementation for prophylaxis and treatment of DR.
Acknowledgments
The authors appreciate the statistical assistance from, and wish to acknowledge the support of, the Maintenance Project of the Center for Big Data Analytics and Statistics at Chang Gung Memorial Hospital for the study design and for monitoring data analysis and interpretation.
Supported by Chang Gung Memorial Hospital research grants (CMRPG3N0871 and CRRPG3M0112) and Ministry of Science and Technology, Taiwan, research grants (MOST 111-2314-B-182A-067-MY3). The funding institute had no role in the conduction and interpretation of the results.
Author Contributions: Y.-N.C. was responsible for conceptualization, data collection, data analysis, interpretation of results, and draft manuscript preparation; Y.-J.H. contributed to conceptualization and methodology; C.-K.C., P.-Y.W., Y.-T.T., Y.-H.C., E.Y.-C.K., C.-M.C., Y.-S.H., and W.-C.W. contributed to data collection and interpretation of results; H.-C.C. contributed to conceptualization, methodology, and supervision and review of the manuscript.
Data Availability: The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Disclosure: Y.-N. Chen, None; Y.-J. Hsueh, None; C.-K. Chang, None; P.-Y. Wu, None; Y.-T. Tsao, None; Y.-H. Chen, None; E.Y.-C. Kang, None; C.-M. Cheng, None; W.-C. Wu, None; Y.-S. Hwang, None; H.-C. Chen, None
References
- 1. Teo ZL, Tham YC, Yu M, et al.. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology. 2021; 128: 1580–1591. [DOI] [PubMed] [Google Scholar]
- 2. GBD 2019 Blindness and Vision Impairment Collaborators; Vision Loss Expert Group of the Global Burden of Disease Study. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study. Lancet Glob Health. 2021; 9: e144–e160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Antonetti DA, Silva PS, Stitt AW. Current understanding of the molecular and cellular pathology of diabetic retinopathy. Nat Rev Endocrinol. 2021; 17: 195–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Nita M, Grzybowski A. The role of the reactive oxygen species and oxidative stress in the pathomechanism of the age-related ocular diseases and other pathologies of the anterior and posterior eye segments in adults. Oxid Med Cell Longev. 2016; 2016: 3164734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. She C, Shang F, Zhou K, Liu N. Serum carotenoids and risks of diabetes and diabetic retinopathy in a Chinese population sample. Curr Mol Med. 2017; 17: 287–297. [DOI] [PubMed] [Google Scholar]
- 6. Park SW, Ghim W, Oh S, et al.. Association of vitreous vitamin C depletion with diabetic macular ischemia in proliferative diabetic retinopathy. PLoS One. 2019; 14: e0218433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. El-Bab MF, Zaki NS, Mojaddidi MA, Al-Barry M, El-Beshbishy HA. Diabetic retinopathy is associated with oxidative stress and mitigation of gene expression of antioxidant enzymes. Int J Gen Med. 2013; 6: 799–806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Yildirim Z, Uçgun NI, Kiliç N, Gürsel E, Sepici-Dinçel A. Antioxidant enzymes and diabetic retinopathy. Ann N Y Acad Sci. 2007; 1100: 199–206. [DOI] [PubMed] [Google Scholar]
- 9. Kumari S, Panda S, Mangaraj M, Mandal MK, Mahapatra PC. Plasma MDA and antioxidant vitamins in diabetic retinopathy. Indian J Clin Biochem. 2008; 23: 158–162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Nowak M, Wielkoszyński T, Marek B, et al.. Antioxidant potential, paraoxonase 1, ceruloplasmin activity and C-reactive protein concentration in diabetic retinopathy. Clin Exp Med. 2010; 10: 185–192. [DOI] [PubMed] [Google Scholar]
- 11. Alışık M, Işik MU. The relationship between choroidal thickness and intracellular oxidised-reduced glutathione and extracellular thiol-disulfide homeostasis at different stages of diabetic retinopathy. Curr Eye Res. 2021; 46: 367–372. [DOI] [PubMed] [Google Scholar]
- 12. Naruse R, Suetsugu M, Terasawa T, et al.. Oxidative stress and antioxidative potency are closely associated with diabetic retinopathy and nephropathy in patients with type 2 diabetes. Saudi Med J. 2013; 34: 135–141. [PubMed] [Google Scholar]
- 13. Reddy VS, Agrawal P, Sethi S, et al.. Associations of FPG, A1C and disease duration with protein markers of oxidative damage and antioxidative defense in type 2 diabetes and diabetic retinopathy. Eye (Lond). 2015; 29: 1585–1593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Butt N, Bano F, Ghani M, Ahmed AM, Majeed N. Association of serum advanced glycation (AGEs) end products, apolipoprotein-B and zinc in severity of T2DM retinopathy. Pak J Pharm Sci. 2021; 34: 803–808. [PubMed] [Google Scholar]
- 15. Kulaksızoglu S, Karalezli A. Aqueous humour and serum levels of nitric oxide, malondialdehyde and total antioxidant status in patients with type 2 diabetes with proliferative diabetic retinopathy and nondiabetic senile cataracts. Can J Diabetes. 2016; 40: 115–119. [DOI] [PubMed] [Google Scholar]
- 16. Rodríguez-Carrizalez AD, Castellanos-González JA, Martínez-Romero EC, et al.. Oxidants, antioxidants and mitochondrial function in non-proliferative diabetic retinopathy. J Diabetes. 2014; 6: 167–175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Beyazyıldız E, Cankaya AB, Ergan E, et al.. Changes of total antioxidant capacity and total oxidant status of aqueous humor in diabetes patients and correlations with diabetic retinopathy. Int J Ophthalmol. 2013; 6: 531–536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Bozkurt E, Çakır B, Çelik E, Doğan E, Uçak T, Alagöz G. Correlation of the aqueous humor total antioxidant capacity, total oxidant status, and levels of IL-6 and VEGF with diabetic retinopathy status. Arq Bras Oftalmol. 2019; 82: 136–140. [DOI] [PubMed] [Google Scholar]
- 19. Mancino R, Di Pierro D, Varesi C, et al.. Lipid peroxidation and total antioxidant capacity in vitreous, aqueous humor, and blood samples from patients with diabetic retinopathy. Mol Vis. 2011; 17: 1298–1304. [PMC free article] [PubMed] [Google Scholar]
- 20. Brzović-Šarić V, Landeka I, Šarić B, et al.. Levels of selected oxidative stress markers in the vitreous and serum of diabetic retinopathy patients. Mol Vis. 2015; 21: 649–664. [PMC free article] [PubMed] [Google Scholar]
- 21. Géhl Z, Bakondi E, Resch MD, et al.. Diabetes-induced oxidative stress in the vitreous humor. Redox Biol. 2016; 9: 100–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Yokoi M, Yamagishi S, Saito A, et al.. Positive association of pigment epithelium-derived factor with total antioxidant capacity in the vitreous fluid of patients with proliferative diabetic retinopathy. Br J Ophthalmol. 2007; 91: 885–887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Izuta H, Matsunaga N, Shimazawa M, Sugiyama T, Ikeda T, Hara H. Proliferative diabetic retinopathy and relations among antioxidant activity, oxidative stress, and VEGF in the vitreous body. Mol Vis. 2010; 16: 130–136. [PMC free article] [PubMed] [Google Scholar]
- 24. Wilson S, Siebourg-Polster J, Titz B, et al.. Correlation of aqueous, vitreous, and serum protein levels in patients with retinal diseases. Transl Vis Sci Technol. 2023; 12: 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Kirboga K, Ozec AV, Kosker M, et al.. The association between diabetic retinopathy and levels of ischemia-modified albumin, total thiol, total antioxidant capacity, and total oxidative stress in serum and aqueous humor. J Ophthalmol. 2014; 2014: 820853. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Tsao YT, Wu WC, Chen KJ, et al.. Analysis of aqueous humor total antioxidant capacity and its correlation with corneal endothelial health. Bioeng Transl Med. 2021; 6: e10199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Tian Y, Cheng W, Wang H, Zeng C, Chen X. Ascorbic acid protects retinal pigment epithelial cells from high glucose by inhibiting the NF-κB signal pathway through MALAT1/IGF2BP3 axis. Diabet Med. 2023; 40: e15050. [DOI] [PubMed] [Google Scholar]
- 28. Alahmari H, Liu CC, Rubin E, Lin VY, Rodriguez P, Chang KC. Vitamin C alleviates hyperglycemic stress in retinal pigment epithelial cells. Mol Biol Rep. 2024; 51: 637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. May JM. Ascorbic acid repletion: a possible therapy for diabetic macular edema? Free Radic Biol Med. 2016; 94: 47–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Tsao YT, Chen HC, Hsueh YJ, et al.. Aqueous humor antioxidants in glaucoma: correlations with subtypes, intraocular pressure, and medication use - a prospective study. Transl Vis Sci Technol. 2025; 14: 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Yanshole VV, Yanshole LV, Snytnikova OA, Tsentalovich YP. Quantitative metabolomic analysis of changes in the lens and aqueous humor under development of age-related nuclear cataract. Metabolomics. 2019; 15: 29. [DOI] [PubMed] [Google Scholar]
- 32. Saberi-Karimian M, Norouzy A. The association between glycemic control with oxidant status parameters in type 2 diabetic patients. Acta Biomed. 2021; 92: e2021100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Kositsawat J, Freeman VL. Vitamin C and A1c relationship in the National Health and Nutrition Examination Survey (NHANES) 2003-2006. J Am Coll Nutr. 2011; 30: 477–483. [DOI] [PubMed] [Google Scholar]
- 34. World Health Organization. Classification of diabetes mellitus. Austria, Geneva: World Health Organization; 2019. [Google Scholar]
- 35. Early Treatment Diabetic Retinopathy Study Research Group. Grading diabetic retinopathy from stereoscopic color fundus photographs–an extension of the modified Airlie House classification. ETDRS report number 10. Ophthalmology. 1991; 98: 786–806. [PubMed] [Google Scholar]
- 36. Chylack LT Jr., Wolfe JK, Singer DM, et al.. The Lens Opacities Classification System III. The Longitudinal Study of Cataract Study Group. Arch Ophthalmol. 1993; 111: 831–836. [DOI] [PubMed] [Google Scholar]
- 37. Tsukaguchi H, Tokui T, Mackenzie B, et al.. A family of mammalian Na+-dependent L-ascorbic acid transporters. Nature. 1999; 399: 70–75. [DOI] [PubMed] [Google Scholar]
- 38. Brubaker RF, Bourne WM, Bachman LA, McLaren JW. Ascorbic acid content of human corneal epithelium. Invest Ophthalmol Vis Sci. 2000; 41: 1681–1683. [PubMed] [Google Scholar]
- 39. Takano S, Ishiwata S, Nakazawa M, Mizugaki M, Tamai M. Determination of ascorbic acid in human vitreous humor by high-performance liquid chromatography with UV detection. Curr Eye Res. 1997; 16: 589–594. [DOI] [PubMed] [Google Scholar]
- 40. Taylor A, Jacques PF, Nadler D, Morrow F, Sulsky SI, Shepard D. Relationship in humans between ascorbic acid consumption and levels of total and reduced ascorbic acid in lens, aqueous humor, and plasma. Curr Eye Res. 1991; 10: 751–759. [DOI] [PubMed] [Google Scholar]
- 41. Lam KW, Yu HS, Glickman RD, Lin T. Sodium-dependent ascorbic and dehydroascorbic acid uptake by SV-40-transformed retinal pigment epithelial cells. Ophthalmic Res. 1993; 25: 100–107. [DOI] [PubMed] [Google Scholar]
- 42. Hosoya K, Minamizono A, Katayama K, Terasaki T, Tomi M. Vitamin C transport in oxidized form across the rat blood-retinal barrier. Invest Ophthalmol Vis Sci. 2004; 45: 1232–1239. [DOI] [PubMed] [Google Scholar]
- 43. Khatami M, Li WY, Rockey JH. Kinetics of ascorbate transport by cultured retinal capillary pericytes. Inhibition by glucose. Invest Ophthalmol Vis Sci. 1986; 27: 1665–1671. [PubMed] [Google Scholar]
- 44. Ankamah E, Sebag J, Ng E, Nolan JM. Vitreous antioxidants, degeneration, and vitreo-retinopathy: exploring the links. Antioxidants (Basel). 2019; 9: 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Tsao YT, Wu WC, Chen KJ, et al.. An assessment of cataract severity based on antioxidant status and ascorbic acid levels in aqueous humor. Antioxidants (Basel). 2022; 11: 397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Salceda R, Contreras-Cubas C. Ascorbate uptake in normal and diabetic rat retina and retinal pigment epithelium. Comp Biochem Physiol C Toxicol Pharmacol. 2007; 146: 175–179. [DOI] [PubMed] [Google Scholar]
- 47. Kowluru RA. Effect of reinstitution of good glycemic control on retinal oxidative stress and nitrative stress in diabetic rats. Diabetes. 2003; 52: 818–823. [DOI] [PubMed] [Google Scholar]
- 48. Tanaka S, Yoshimura Y, Kawasaki R, et al.. Fruit intake and incident diabetic retinopathy with type 2 diabetes. Epidemiology. 2013; 24: 204–211. [DOI] [PubMed] [Google Scholar]
- 49. Millen AE, Klein R, Folsom AR, Stevens J, Palta M, Mares JA. Relation between intake of vitamins C and E and risk of diabetic retinopathy in the Atherosclerosis Risk in Communities Study. Am J Clin Nutr. 2004; 79: 865–873. [DOI] [PubMed] [Google Scholar]
- 50. Mayer-Davis EJ, Bell RA, Reboussin BA, Rushing J, Marshall JA, Hamman RF. Antioxidant nutrient intake and diabetic retinopathy: the San Luis Valley Diabetes Study. Ophthalmology. 1998; 105: 2264–2270. [DOI] [PubMed] [Google Scholar]
- 51. Sant DW, Camarena V, Mustafi S, et al.. Ascorbate suppresses VEGF expression in retinal pigment epithelial cells. Invest Ophthalmol Vis Sci. 2018; 59: 3608–3618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Oh S, Kim YJ, Lee EK, Park SW, Yu HG. Antioxidative effects of ascorbic acid and astaxanthin on ARPE-19 Cells in an oxidative stress model. Antioxidants (Basel). 2020; 9: 833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Shen H, Ding C, Yuan S, et al.. Vitamin C- and valproic acid-induced fetal RPE stem-like cells recover retinal degeneration via regulating SOX2. Mol Ther. 2020; 28: 1645–1657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Siemianowicz K, Gminski J, Telega A, et al.. Blood antioxidant parameters in patients with diabetic retinopathy. Int J Mol Med. 2004; 14: 433–437. [PubMed] [Google Scholar]
- 55. Turk HM, Sevinc A, Camci C, et al.. Plasma lipid peroxidation products and antioxidant enzyme activities in patients with type 2 diabetes mellitus. Acta Diabetol. 2002; 39: 117–122. [DOI] [PubMed] [Google Scholar]
- 56. Yokoi M, Yamagishi SI, Takeuchi M, et al.. Elevations of AGE and vascular endothelial growth factor with decreased total antioxidant status in the vitreous fluid of diabetic patients with retinopathy. Br J Ophthalmol. 2005; 89: 673–675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Verdejo C, Marco P, Renau–Piqueras J, Pinazo-Duran MD. Lipid peroxidation in proliferative vitreoretinopathies. Eye (Lond). 1999; 13(Pt 2): 183–188. [DOI] [PubMed] [Google Scholar]
- 58. Kernell A, Lundh BL, Marklund SL, Skoog KO, Björkstén B. Superoxide dismutase in the anterior chamber and the vitreous of diabetic patients. Invest Ophthalmol Vis Sci. 1992; 33: 3131–3135. [PubMed] [Google Scholar]


