Association of mean ocular perfusion pressure and diabetic retinopathy in type 2 diabetes mellitus: Sankara Nethralaya diabetic retinopathy epidemiology and molecular genetic study (SN-DREAMS, Report 28)

The causal effect of hypertension, intraocular pressure, and diabetic retinopathy: a Mendelian randomization study

Background

Previous research has indicated a vital association between hypertension, intraocular pressure (IOP), and diabetic retinopathy (DR); however, the relationship has not been elucidated. In this study, we aim to investigate the causal association of hypertension, IOP, and DR.

Methods

The genome-wide association study (GWAS) IDs for DR, hypertension, and IOP were identified from the Integrative Epidemiology Unit (IEU) Open GWAS database. There were 33,519,037 single-nucleotide polymorphisms (SNPs) and a sample size of 1,030,836 for DR. There were 16,380,466 SNPs and 218,754 participants in the hypertension experiment. There were 9,851,867 SNPs and a sample size of 97,465 for IOP. Univariable, multivariable, and bidirectional Mendelian randomization (MR) studies were conducted to estimate the risk of hypertension and IOP in DR. Moreover, causality was examined using the inverse variance weighted method, and MR results were verified by numerous sensitivity analyses.

Results

A total of 62 SNPs at the genome-wide significance level were selected as instrumental variables (IVs) for hypertension-DR. The results of univariable MR analysis suggested a causal relationship between hypertension and DR and regarded hypertension as a risk factor for DR [p = 0.006, odds ratio (OR) = 1.080]. A total of 95 SNPs at the genome-wide significance level were selected as IVs for IOP-DR. Similarly, IOP was causally associated with DR and was a risk factor for DR (p = 0.029, OR = 1.090). The results of reverse MR analysis showed that DR was a risk factor for hypertension (p = 1.27×10-10, OR = 1.119), but there was no causal relationship between DR and IOP (p > 0.05). The results of multivariate MR analysis revealed that hypertension and IOP were risk factors for DR, which exhibited higher risk scores (p = 0.001, OR = 1.121 and p = 0.030, OR = 1.124, respectively) than those in univariable MR analysis. Therefore, hypertension remained a risk factor for DR after excluding the interference of IOP, and IOP was still a risk factor for DR after excluding the interference of hypertension.

Conclusion

This study validated the potential causal relationship between hypertension, IOP, and DR using MR analysis, providing a reference for the targeted prevention of DR.

ASSOCIATION OF OCULAR PERFUSION PRESSURE AND CEREBROSPINAL FLUID PRESSURE WITH CHANGES IN DIABETIC RETINOPATHY

PURPOSE

To investigate the association between mean ocular perfusion pressure (MOPP), estimated cerebrospinal fluid pressure (CSFP), and changes in diabetic retinopathy (DR) in a Northeastern Chinese population with Type 2 diabetes.

METHODS

A total of 1,322 subjects from the Fushun Diabetic Retinopathy Cohort Study were enrolled. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and intraocular pressure (IOP) were recorded. MOPP was calculated by the following formula: MOPP = 2/3 [DBP + 1/3 (SBP - DBP)] - IOP, and CSFP was estimated according to the following formula: CSFP = 0.44 × body mass index + 0.16 × DBP - 0.18 × age - 1.91. New development, progression, and regression of DR were graded based on fundus photographs at baseline and during follow-up examinations with a mean interval of 21.2 months using the modified Early Treatment Diabetic Retinopathy Study criteria.

RESULTS

Increasing MOPP was associated with the incidence of DR in the multivariate model (per 1-mmHg increase: relative risk, 1.06; 95% confidence interval, 1.02-1.10; P = 0.007) and showed a borderline negative association with DR regression (per 1-mmHg increase: relative risk, 0.98; 95% confidence interval, 0.97-1.00; P = 0.053). However, MOPP was not associated with progression of DR. Cerebrospinal fluid pressure was not associated with new development, progression, or regression of DR.

CONCLUSION

The MOPP, but not the CSFP, was found to influence the development, but not the progression of DR in this Northeastern Chinese cohort.

Ocular Perfusion Pressure in 7- and 12-Year-Old Chinese Children: The Anyang Childhood Eye Study

Purpose

The purpose of this study was to report the distribution of mean ocular perfusion pressure (MOPP) and its associated factors in Chinese children.

Methods

We enrolled 3048 grade 1 students and 2258 grade 7 students of the Anyang Childhood Eye Study in central China. Systolic and diastolic blood pressure (SBP and DBP) were recorded with a digital automatic sphygmomanometer. Intraocular pressure (IOP) was assessed by a non-contact tonometer. MOPP was calculated as 2/3 × (DBP + 1/3[SBP – DBP]) - IOP. Risk factors for myopia were obtained through a questionnaire survey.

Results

The MOPP was 33.83 ± 6.37 mm Hg (mean ± SD) in grade 1, which was lower than 36.99 ± 6.80 mm Hg in grade 7 (P < 0.001). Compared with myopic eyes, non-myopic eyes had higher MOPP in grade 7 (37.72 ± 6.72 mm Hg versus 36.58 ± 6.57 mm Hg, P < 0.001) and in grade 1 (33.88 ± 6.29 mm Hg versus 33.12 ± 7.03 mm Hg, P = 0.12). Multivariable analysis showed that higher MOPP was associated with less myopia (P < 0.001), higher body mass index (BMI; P < 0.001), thinner central corneal thickness (P < 0.001), less time on near work (P < 0.001), and more time on sleeping (P = 0.04).

Conclusions

MOPP was higher in children of older age, with higher BMI, less time on near work, and more time on sleeping, and was higher in eyes with less myopia.

Translational Relevance

We found that MOPP might be an indicator for the detection of myopia development.

Is primary open-angle glaucoma a risk factor for diabetic retinopathy?

PURPOSE

To compare the prevalences of diabetic retinopathy in diabetes mellitus patients, with and without primary open-angle glaucoma, with a view to determine if glaucoma is a risk factor for the development of diabetic retinopathy.

METHODS

Cross-sectional, comparative study consisting of 86 diabetic patients with glaucoma matched with 86 diabetic patients without glaucoma. The two groups were matched by age, sex and duration of diabetes mellitus. Demographic data were obtained via patient medical records and self-administered questionnaires. Participants underwent a standardized examination protocol including blood pressure measurement and ocular examination. Main outcome measure was the presence of diabetic retinopathy.

RESULTS

Two hundred and ninety-two eyes (144 glaucomatous eyes and 148 non-glaucomatous eyes) of 172 participants with diabetes mellitus were assessed. The prevalence of diabetic retinopathy among 86 participants with glaucoma comorbidity was 23.6%, while the prevalence among 86 non-glaucomatous participants was 33.8% (p = 0.06). After the regression analysis, controlling for systemic and ocular risk factors for diabetic retinopathy, the odds of developing diabetic retinopathy were significantly higher in the glaucomatous eyes compared with eyes without glaucoma (OR: 2.75; p = 0.03; 95% CI: 1.10-6.87).

CONCLUSION

This study demonstrated that glaucomatous diabetic eyes were almost three times more likely to develop diabetic retinopathy compared to non-glaucomatous diabetic eyes. Prospective studies may be required to establish a risk-cause relationship. Ocular perfusion pressure control should be considered in patients with diabetes mellitus and glaucoma.

Effects of water drinking test on ocular blood flow waveform parameters: A laser speckle flowgraphy study

The water-drinking test (WDT) is a provocative test used in glaucoma research to assess the effects of elevated intraocular pressure (IOP). Defective autoregulation due to changes in perfusion pressure may play a role in the pathophysiology of several ocular diseases. This study aims to examine the effects of WDT on ocular blood flow (in the form of pulse waveform parameters obtained using laser speckle flowgraphy) to gain insight into the physiology of ocular blood flow and its autoregulation in healthy individuals. Changes in pulse waveform parameters of mean blur rate (MBR) in the entire optic nerve head (ONH), the vasculature of the ONH, the tissue area of the ONH, and the avascular tissue area located outside of the ONH were monitored over time. Significant increases in the falling rate of MBR over the entire ONH and its tissue area and decreases in blowout time (BOT) of the tissue area were observed only at 10 minutes after water intake. Significant increases in the skew of the waveform and the falling rate were observed in the vasculature of the ONH at 40 and 50 minutes after water intake, respectively. In the avascular region of the choroid, the average MBR increased significantly up to 30 minutes after water intake. Furthermore, the rising rate in this region increased significantly at 20 and 40 minutes, and the falling rate and acceleration-time index were both significantly increased at 40 minutes after water intake. Our results indicate the presence of effective autoregulation of blood flow at the ONH after WDT. However, in the choroidal region, outside of the ONH, effective autoregulation was not observed until 30 minutes after water intake in healthy study participants. These pulse waveform parameters could potentially be used in the diagnosis and/or monitoring of patients with glaucoma.

Vascular Dysfunction in Diabetes and Glaucoma: A Complex Relationship Reviewed

Open-angle glaucoma (OAG) is a multifactorial disease characterized by progressive retinal ganglion cell death and visual field loss. Intraocular pressure, ocular perfusion pressure, and systemic vascular irregularities have all been identified as contributing factors for glaucoma onset and progression. Focal and systemic vascular abnormalities have also been well documented in diabetic patients. The relationship between diabetes mellitus and OAG remains enigmatic in the literature. As the pathogenesis of both diabetes mellitus and OAG involves compromised vascular regulation, this review was undertaken to further investigate their precise relationship. A literature review of published population-based studies was performed, with a focus on studies regarding blood flow abnormalities. Although current studies support the role of vascular contributions to both diseases, the association between glaucoma and diabetes yields contrasting results.

Impairment of Colour Vision in Diabetes with No Retinopathy: Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetics Study (SNDREAMS- II, Report 3)

PURPOSE

To assess impairment of colour vision in type 2 diabetics with no diabetic retinopathy and elucidate associated risk factors in a population-based cross-sectional study.

METHODS

This is part of Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular-genetics Study (SN-DREAMS II) which was conducted between 2007-2010. FM 100 hue-test was performed in 253 subjects with no clinical evidence of diabetic retinopathy. All subjects underwent detailed ophthalmic evaluation including cataract grading using LOCS III and 45° 4-field stereoscopic fundus photography. Various ocular and systemic risk factors for impairment of colour vision (ICV) were assessed in subjects with diabetes but no retinopathy. P value of < 0.05 was considered statistically significant.

RESULTS

The mean age of the study sample was 57.08 ± 9.21 (range: 44-86 years). Gender adjusted prevalence of ICV among subjects with diabetes with no retinopathy was 39.5% (CI: 33.5-45.5). The mean total error score in the study sample was 197.77 ± 100 (range: 19-583). The risk factors for ICV in the study were women OR: 1.79 (1.00-3.18), increased resting heart rate OR: 1.04 (1.01-1.07) and increased intraocular pressure OR: 1.12 (1.00-1.24). Significant protective factor was serum high-density lipoprotein OR: 0.96 (0.93-0.99).

CONCLUSIONS

Acquired ICV is an early indicator of neurodegenerative changes in the retina. ICV found in diabetic subjects without retinopathy may be of non-vascular etiology.