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Associations of serum uric acid and urinary albumin with the severity of diabetic retinopathy in individuals with type 2 diabetes

BMC Ophthalmology volume 20, Article number: 467 (2020) Cite this article

Abstract

Background

Diabetic retinopathy (DR) is a serious microvascular complication of type 2 diabetes mellitus (T2DM). The aim of this retrospective study was to reveal the risk factors for the severity of DR in individuals with T2DM. Demographic data and biochemical parameters were collected and analyzed.

Methods

A total of 518 individuals with type 2 diabetes were included. These individuals were classified into three groups according to the severity of diabetic retinopathy: non-diabetic retinopathy (NDR) group (N = 172), non proliferative diabetic retinopathy (NPDR) group (N = 184), and proliferative diabetic retinopathy (PDR) group (N = 162). Demographic and clinical measurement data of the individuals were collected by reviewing medical records and direct interview. The demographic data and biochemical parameters between groups were compared using Student’s t-test. Moreover, the factors related to severity of diabetic retinopathy were identified by using the multivariate logistic regression analysis.

Results

No significant difference in age, gender, body mass index (BMI), and diabetes duration was found among these three groups. The serum uric acid (SUA), total cholesterol (TC), low density lipoprotein cholesterol (LDL-c), homocysteine, and urinary albumin levels were significantly higher in the NPDR and PDR group than those in the NDR group (P < 0.05). The individuals in the PDR group had obviously higher levels of SUA, homocysteine, and urinary albumin than individuals in the NPDR group (P < 0.05). The multivariate logistic regression analysis revealed that high SUA, homocysteine, TC, LDL-c, and urinary albumin levels were associated with more serious diabetic retinopathy (OR > 1; P < 0.05).

Conclusion

The concentrations of SUA and urinary albumin are associated with the severity of DR in individuals with T2DM.

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Background

Diabetes mellitus is the most prevalent metabolic disease with the characteristic of hyperglycaemia, and it is caused by defects in the endogenous insulin secretion or action [1]. It has been estimated that the number of people with diabetes aged 20–79 years would rise to about 642 million by 2040 which increased 62% compared to 2015 [2]. Type 2 diabetes mellitus (T2DM), accounting for approximately 90–95% of diabetes, is an expanding global health problem [1, 3]. T2DM has high risk of causing macrovascular complications (i.e. cardiovascular disease) and microvascular complications (such as diabetic retinopathy, diabetic nephropathy and diabetic neuropathy) because of hyperglycaemia and insulin resistance syndrome [4].

Diabetic retinopathy (DR) is triggered by hyperglycemia which causes increased oxidative stress leading to an adaptive inflammatory assault to the neuroretinal tissue and microvasculature [5]. Clinically, DR could be divided into background and proliferative stage according to the severity [6]. The people with background stage DR had lesions on the eye vasculature layer and vision lost would be caused if there is fluid in the central portion of the eyes [7]. The proliferative DR (PDR) is characterized by pathological retinal neovascularization and retinal vascular leakage (macular edema) [8]. DR is the most frequent cause of new cases of blindness among adults aged 20–74 years, resulting in central vision loss caused by microvascular damage to the retina [9]. If DR is diagnosed early, effective treatment could delay its onset and progression. Therefore, identification of the clinical markers associated with severity of DR might be beneficial for the early detection and management of DR.

Serum uric acid (SUA), the final oxidation product of purine metabolism in circulation, and many studies have revealed that elevated SUA levels are positively associated with the development of metabolic diseases (such as hypertension, chronic kidney disease, and T2DM) [10,11,12]. An elevated SUA level could be used as a strong and independent risk factor for renal function decline in individuals with T2DM [13]. Albuminuria is known as one of the risk factors of renal disease since the kidneys normally do not filter large molecules into the urine [14]. Microalbuminuria has been reported to be an independent predictor of severity of coronary artery stenosis in individuals with T2DM [15]. However, whether the SUA and urinary albumin are associated with the severity of DR is still controversial. In our study, the included individuals with T2DM were classified into three groups according to the severity of diabetic retinopathy. The demographic data and biochemical parameters among the three groups were compared using statistical analysis. Moreover, the risk factors for severity of DR were identified by using the multivariate logistic regression analysis.

Methods

Population

The type 2 DM was diagnosed by detecting the fasting blood glucose level based on the diagnostic criteria published by World Health Organization [16]. Based on the detection results, individuals diagnosed as T2DM and hospitalized in endocrine department of our hospital from 2015 to 2017 were firstly included in our study. Afterwards, individuals with hypertension, coronary heart disease, severe pulmonary disease, kidney disease, liver disease, severe infection, tumor, or have recently taken the drugs affecting uric acid level (such as diuretics, hydrochloric acid drugs, hyaluronic acid drugs, sodium bicarbonate, etc.) were excluded. Finally, 518 people were included according to the above inclusion and exclusion criteria.

Demographic data of the individuals were collected by reviewing medical records and direct interview, which included age, gender, body mass index (BMI), and diabetes duration. The study was approved by Institutional Human Ethical Committee. Written informed consents were obtained from all the enrolled individuals.

Assessment of diabetic retinopathy

The enrolled people with T2DM were divided into three groups, including non-diabetic retinopathy (NDR) group, non proliferative diabetic retinopathy (NPDR) group, and proliferative diabetic retinopathy (PDR) group, by two experienced retina specialists according to grading standards published by the Early Treatment Diabetic Retinopathy Study (ETDRS) Research Group based on the results of fundus photographs and fundus fluorescein angiography [17].

Biochemical measurements

The venous blood samples were collected from each individual in the morning after fasting for 8–12 h. All individuals accepted the routine measurements, including HbA1c and lipid profile, including total cholesterol (TC) and low density lipoprotein cholesterol (LDL-c). Serum HbA1c concentration was measured with the Direct Enzymatic HbA1c Assay Kit purchased from the Shanghai Rongsheng Biological Pharmaceutical Co. (Shanghai, China) by using an automatic glycohemoglobin analyzer (HA-8180, Arkray, Inc., Japan). The levels of LDL-c and TC were measured by commercially available assay kits (Beijing Labo Biotech Co., Ltd., China) with Hitachi 7600 Automatic Biochemical Analyzer (Hitachi Co., Japan).

Moreover, serum uric acid (SUA) was measured by the commercially available assay kits (Shanghai Kehua Bio-engineering Co. Ltd., China) using the Hitachi 7600 Automatic Biochemical Analyzer (Hitachi Co., Japan). The homocysteine level was detected by enzymatic cycling assay kits (NingBo MedicalSystem Biological Technology Co., Ltd., China) with the Hitachi 7600 Automatic Biochemical Analyzer. The microalbuminuria was detected by immunoturbidimetry assay kits (Beijing Leadman Biochemistry Co., Ltd., China) with Hitachi 7600 Automatic Biochemical Analyzer. The definition of microalbuminuria is urinary albumin excretion level > 30 mg/mL.

Statistical analysis

Data were analyzed using SPSS statistical software (Chicago, USA). Data were expressed as mean ± SD. Student’s t-test was used to evaluate the significances between the groups in age, gender, BMI, diabetes duration, SUA, homocysteine, TC, LDL-c and urinary albumin levels. Multivariate logistic regression was employed to evaluate the associations of SUA, homocysteine, TC, LDL-c and urinary albumin levels with severity of DR. A value of p < 0.05 was considered as statistically significant.

Results

Demographic data

This study enrolled 518 individuals, including 278 male (54%) and 240 female (46%) individuals with type 2 DM. These individuals with diabetes were classified into NDR group (n = 172), NPDR group (n = 184) and PDR group (n = 162) according to the severity of diabetic retinopathy. There was no significant difference in age, gender, BMI, and diabetes duration among these three groups (Table 1).

Table 1 Demographic characteristics of people with diabetes in the non-diabetic retinopathy (NDR), non proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR) group
Full size table

Comparison of clinical characteristics

The clinical characteristics of the individuals with diabetes in the three groups are summarized in Table 2. Compared with the individuals with diabetes in the NDR group, the SUA, homocysteine, TC, LDL-c and urinary albumin levels of individuals with diabetes in the NPDR and PDR group were significantly higher (P < 0.05). The SUA, homocysteine, and urinary albumin levels of individuals with diabetes in the PDR group were obviously higher than those of individuals with diabetes in the NPDR group (P < 0.05).

Table 2 Clinical characteristics of people with diabetes in NDR, NPDR and PDR group
Full size table

Risk factors for diabetic retinopathy

The associations of SUA, homocysteine, TC, LDL-c and urinary albumin levels with the severity of diabetic retinopathy were identified by using the multivariate logistic regression analysis. According to the results of multivariate logistic regression analysis, we identified that the severity of diabetic retinopathy was associated with high SUA level (odds ratio (OR) = 1.108; 95% confidence interval (CI) = 1.098–1.163; P = 0.032), high homocysteine level (OR = 1.021; 95% CI = 1.040–1.264; P = 0.041), high TC level (OR = 1.117; 95% CI = 1. 189–2.354; P = 0.037), high LDL-c level (OR = 1.026; 95% CI = 1.034–1.452; P = 0.026) and high urinary albumin level (OR = 1.003; 95% CI = 1.049–1.198; P = 0.043) (Table 3).

Table 3 Risk factors for diabetic retinopathy using multivariate logistic regression analysis
Full size table

Discussion

DR is a kind of serious microvascular complication of T2DM, causing visual impairment in adults. In our study, the included 518 individuals with T2DM were classified into NDR, NPDR, and PDR groups according to the severity of diabetic retinopathy. No significant difference in age, gender, BMI, and diabetes duration was found among these three groups. The multivariate logistic regression analysis showed that high SUA (OR = 1.108; 95% CI = 1.098–1.163; P = 0.032) and homocysteine (OR = 1.021; 95% CI = 1.040–1.264; P = 0.041) levels were associated with the severity of diabetic retinopathy. In the study of Srivastav et al., they firstly demonstrated that increased homocysteine levels were correlated with the reduction in retinal nerve fiber layer thickness and increased severity of diabetic retinopathy [18]. Liang et al. found that an increased SUA level was significantly correlated with the severity of albuminuria (OR, 1.227; 95% CI = 1.015–1.482; P = 0.034) and DR (OR, 1.264; 95% CI = 1.084–1.473; P = 0.003) in Taiwanese people with type 2 DM [19]. SUA concentration is associated with the increase in severity of DR over a 3-year period in people with T2DM [20]. Therefore, our results suggested that high SUA and homocysteine levels are risk factors of DR, which are consistent with some previous studies.

Leukocyte adhesion to the vascular endothelium is critical in the pathogenesis of DR, and this biological procedure is mediated by adhesion molecules, such as intercellular cell adhesion molecule-1 (ICAM-1) and monocyte chemoattractant protein-1 (MCP-1) [21, 22]. Meanwhile, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) are inflammatory factors also related to pathogenesis of DR [23, 24]. It has been reported that high uric acid can promote the expressions of adhesion molecules and inflammation mediators (including ICAM-1, MCP-1, IL-6, TNF-a) of the human retinal endothelial cells under high glucose, and increase the activity of Notch signaling pathway, suggesting high uric acid may promote the diabetic retinopathy by activating Notch signaling pathway [25]. In addition, the serum levels of ICAM-1 had been also confirmed to be associated with increased severity of diabetic retinopathy [26]. Therefore, SUA might play important roles in the severity of DR by influencing the signaling pathways related to inflammation and molecular adhesion.

In the study of Ahmad et al., the prevalence of microalbuminuria in people with T2DM is 31.56% and the microalbuminuria is identified as an early sign of diabetic nephropathy [27]. In our study, we found that high urinary albumin levels were associated with more serious diabetic retinopathy (OR = 1.003; 95% CI = 1.049–1.198; P = 0.043). Therefore, our results indicated that higher urinary albumin level is risk factor for the severity of DR in people with T2DM and has the potential to be used for early detection.

It has been reported that more serious endothelial cell damage might be caused in hypertensive subjects with microalbuminuria [28]. Studies also have shown that microalbuminuria is an independent risk factor for cardiovascular diseases not only in hypertensive and diabetic individuals but also for general population [29]. In the people with acute myocardial infarction, microalbuminuria is closely associated with functional disorder of endothelial progenitor cells, predicting the aggravation of coronary remodeling after percutaneous coronary intervention [30]. There is a positive correlation between microalbuminuria and the severity of coronary artery disease in T2DM individuals [15]. Besides, microalbuminuria is also an important tool for predicting the mortality and morbidity in individuals with cardiovascular and peripheral vascular diseases [31]. Therefore, we speculated that the microalbuminuria might participate in the DR by causing damage to the vascular endothelial cell. However, there are some limitations in our study. The diabetes treatment was not considered in our study. Besides, our study only included 518 individuals with T2DM during 2 years and classified into three groups according diabetic retinopathy severity. Thus, more studies with larger sample size or for people from different regions are still needed to validate the results of our study.

Conclusion

In conclusion, we found that that high SUA, homocysteine, TC, LDL-c, and urinary albumin levels were associated with the severity of diabetic retinopathy. Higher SUA and urinary albumin levels could be considered as risk factors for severity of DR in individuals with T2DM.

Availability of data and materials

The datasets used and analysed during the current study available from the corresponding author on reasonable request.

Abbreviations

DR:

Diabetic retinopathy

T2DM:

Type 2 diabetes mellitus

NDR:

Non-diabetic retinopathy

NPDR:

Non proliferative diabetic retinopathy

SUA:

Serum uric acid

BMI:

Body mass index

LDL-c:

Low density lipoprotein cholesterol

TC:

Total cholesterol

PDR:

Proliferative diabetic retinopathy

References

  1. Association AD. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37(Supplement 1):S81–90.

    Article  Google Scholar 

  2. Ogurtsova K, Da RFJ, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE. IDF diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract. 2017;128:40–50.

    Article  CAS  PubMed  Google Scholar 

  3. Goldstein BJ. Insulin resistance as the core defect in type 2 diabetes mellitus. Am J Cardiol. 2002;90(5):3–10.

    Article  Google Scholar 

  4. DeFronzo RA, Ferrannini E, Groop L, Henry RR, Herman WH, Holst JJ, Hu FB, Kahn CR, Raz I, Shulman GI, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. 2015;1:15019.

    Article  PubMed  Google Scholar 

  5. Saxena R, Singh D, Saklani R, Gupta SK. Clinical biomarkers and molecular basis for optimized treatment of diabetic retinopathy: current status and future prospects. Eye Brain. 2016;8(1):1–13.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kern TS. Contributions of inflammatory processes to the development of the early stages of diabetic retinopathy. Exp Diabetes Res. 2014;2007(1):95103.

    Google Scholar 

  7. Csősz É, Boross P, Csutak A, Berta A, Tóth F, Póliska S, Török Z, Tőzsér J. Quantitative analysis of proteins in the tear fluid of patients with diabetic retinopathy. J Proteome. 2012;75(7):2196–204.

    Article  CAS  Google Scholar 

  8. Gao BB, Chen X, Timothy N, Aiello LP, Feener EP. Characterization of the vitreous proteome in diabetes without diabetic retinopathy and diabetes with proliferative diabetic retinopathy. J Proteome Res. 2008;7(6):2516.

    Article  CAS  PubMed  Google Scholar 

  9. Fong DS, Aiello L, Gardner TW, King GL, Blankenship G, Cavallerano JD, Rd FF, Klein R. Retinopathy in diabetes. Diabetes Care. 2004;27(Suppl 1):S84.

    Article  PubMed  Google Scholar 

  10. Wei F, Chang B, Yang X, Wang Y, Chen L, Li WD. Serum uric acid levels were dynamically coupled with hemoglobin A1c in the development of type 2 diabetes. Sci Rep. 2016;6:28549.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kim TH, Lee SS, Yoo JH, Kim SR, Yoo SJ, Song HC, Kim YS, Choi EJ, Kim YK. The relationship between the regional abdominal adipose tissue distribution and the serum uric acid levels in people with type 2 diabetes mellitus. Diabetol Metab Syndr. 2012;4(1):3–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Kodama S, Saito K, Yachi Y, Asumi M, Sugawara A, Totsuka K, Saito A, Sone H. Association between serum uric acid and development of type 2 diabetes. Diabetes Care. 2009;32(9):1737.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Tanaka K, Hara S, Hattori M, Sakai K, Onishi Y, Yoshida Y, Kawazu S, Kushiyama A. Role of elevated serum uric acid levels at the onset of overt nephropathy in the risk for renal function decline in patients with type 2 diabetes. J Diabetes Invest. 2015;6(1):98–104.

    Article  CAS  Google Scholar 

  14. Lorenzo V, Saracho R, Zamora J, Rufino M, Torres A. Similar renal decline in diabetic and non-diabetic patients with comparable levels of albuminuria. Nephrol Dial Transplant. 2010;25(3):835–41.

    Article  CAS  PubMed  Google Scholar 

  15. Zand Parsa AF, Ghadirian L, Rajabzadeh KS, Moradi FE. Positive correlation between microalbuminuria and severity of coronary artery stenosis in patients with type 2 diabetes mellitus. Acta Med Iran. 2013;51(4):231.

    PubMed  Google Scholar 

  16. Organization WH. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1, Diagnosis and classification of diabetes mellitus. Geneva: World Health Organization; 1999.

    Google Scholar 

  17. Group ETDRSR. Grading diabetic retinopathy from stereoscopic color fundus photographs—an extension of the modified Airlie house classification: ETDRS report number 10. Ophthalmology. 1991;98(5):786–806.

    Article  Google Scholar 

  18. Srivastav K, Saxena S, Mahdi AA, Shukla RK, Meyer CH, Akduman L, Khanna VK. Increased serum level of homocysteine correlates with retinal nerve fiber layer thinning in diabetic retinopathy. Mol Vis. 2016;22:1352–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Liang CC, Lin PC, Lee MY, Chen SC, Shin SJ, Hsiao PJ, Lin KD, Hsu WH. Association of Serum Uric Acid Concentration with diabetic retinopathy and albuminuria in Taiwanese patients with type 2 diabetes mellitus. Int J Mol Sci. 2016;17(8):1248.

    Article  PubMed Central  CAS  Google Scholar 

  20. Lee JJ, Yang IH, Kuo HK, Chung MS, Chen YJ, Chen CH, Liu RT. Serum uric acid concentration is associated with worsening in severity of diabetic retinopathy among type 2 diabetic patients in Taiwan—a 3-year prospective study. Diabetes Res Clin Pract. 2014;106(2):366–72.

    Article  CAS  PubMed  Google Scholar 

  21. Khalfaoui T, Lizard G, Ouertani-Meddeb A. Adhesion molecules (ICAM-1 and VCAM-1) and diabetic retinopathy in type2 diabetes. J Mol Histol. 2008;39(2):243–9.

    Article  CAS  PubMed  Google Scholar 

  22. Sampson MJ, Davies IR, Brown JC, Ivory K, Hughes DA. Monocyte and neutrophil adhesion molecule expression during acute hyperglycemia and after antioxidant treatment in type 2 diabetes and control patients. Arterioscler Thromb Vasc Biol. 2002;22(7):1187–93.

    Article  CAS  PubMed  Google Scholar 

  23. Gustavsson C, Agardh E, Bengtsson B, Agardh CD. TNF-α is an independent serum marker for proliferative retinopathy in type 1 diabetic patients ☆. J Diabetes Complicat. 2008;22(5):309–16.

    Article  Google Scholar 

  24. Koskela UE, Kuusisto SM, Nissinen AE, Savolainen MJ, Liinamaa MJ. High vitreous concentration of IL-6 and IL-8, but not of adhesion molecules in relation to plasma concentrations in proliferative diabetic retinopathy. Ophthalmic Res. 2013;49(2):108–14.

    Article  CAS  PubMed  Google Scholar 

  25. Zhu DD, Wang YZ, Zou C, She XP, Zheng Z. The role of uric acid in the pathogenesis of diabetic retinopathy based on Notch pathway. Biochem Biophys Res Commun. 2018;503(2):S0006291X18314098.

    Google Scholar 

  26. Jain A, Saxena S, Khanna VK, Shukla RK, Meyer CH. Status of serum VEGF and ICAM-1 and its association with external limiting membrane and inner segment-outer segment junction disruption in type 2 diabetes mellitus. Mol Vis. 2013;19:1760–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Ahmad T, Ulhaq I, Mawani M, Islam N. Microalbuminuria in Type-2 diabetes mellitus; the tip of iceberg of diabetic complications. Pakistan J Med Sci. 2017;33(3):519–23.

    Google Scholar 

  28. Kario K, Matsuo T, Kobayashi H, Matsuo M, Sakata T, Miyata T, Shimada K. Factor VII hyperactivity and endothelial cell damage are found in elderly hypertensives only when concomitant with microalbuminuria. Arterioscler Thromb Vasc Biol. 1996;16(3):455–61.

    Article  CAS  PubMed  Google Scholar 

  29. Stehouwer CD, Smulders YM. Microalbuminuria and risk for cardiovascular disease: analysis of potential mechanisms. J Am Soc Nephrol. 2006;17(8):2106.

    Article  CAS  PubMed  Google Scholar 

  30. Ota H, Takehara N, Aonuma T, Kabara M, Matsuki M, Yamauchi A, Takeuchi T, Kawabe J, Hasebe N. Association between microalbuminuria predicting in-stent restenosis after myocardial infarction and cellular senescence of endothelial progenitor cells. PLoS One. 2015;10(4):e0123733.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Gerstein HC, Mann JF, Yi Q, Zinman B, Dinneen SF, Hoogwerf B, Halle JP, Young J, Rashkow A, Joyce C, et al. Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals. JAMA. 2001;286(4):421–6.

    Article  CAS  PubMed  Google Scholar 

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Author notes

  1. Donghe Chen and Xiufang Sun should be regard as co-first authors.

Authors and Affiliations

  1. Department of Endocrinology, Daqing People’s Hospital, the Fifth Affiliated Hospital of Harbin Medical University, No.213, Jianshe Road, Development zone, Daqing, 163000, China

    Donghe Chen & Ying Liu

  2. Department of Endocrinology, the First Affiliated Hospital of Qiqihar Medical University, Qiqihar, 161041, China

    Xiufang Sun

  3. Department of Endocrinology, the First Hospital of Suihua, No. 180 Beilin Road, Beilin District, Suihua, 152000, China

    Xinxin Zhao

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  1. Donghe Chen
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Contributions

DC and XS performed the interpretation of the data regarding the individuals with type 2 diabetes, and were major contributors in writing the manuscript. XZ and YL were responsible for statistical analysis and revision of manuscript for important intellectual content. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Xinxin Zhao or Ying Liu.

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Ethics approval and consent to participate

This study was approved by Ethics Committee of the Fifth Affiliated Hospital of Harbin Medical University, the First Affiliated Hospital of Qiqihar Medical University and the First Hospital of Suihua.

Written informed consents were obtained from all the enrolled individuals.

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Not Applicable.

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The authors declare that they have no competing interests.

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Chen, D., Sun, X., Zhao, X. et al. Associations of serum uric acid and urinary albumin with the severity of diabetic retinopathy in individuals with type 2 diabetes. BMC Ophthalmol 20, 467 (2020). https://doi.org/10.1186/s12886-020-01713-5

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BMC Ophthalmology

ISSN: 1471-2415

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