Serum and vitreous fibulin-1 concentrations in patients with diabetic retinopathy

2016 ◽  
Vol 64 (7) ◽  
pp. 1209-1212
Author(s):  
Meiling Tian ◽  
Jing Wang ◽  
Yuqin Wei ◽  
Qingle Lu ◽  
Baohua Huang

Fibulin-1, an extracellular matrix glycoprotein, is closely correlated with angiogenesis. The purpose of this investigation is to determine serum and vitreous fibulin-1 concentrations in diabetic retinopathy (DR). This cross-sectional investigation was carried out in a population of 154 diabetic patients (54 without DR, 42 with non-proliferative diabetic retinopathy (NPDR) and 58 with proliferative diabetic retinopathy (PDR)) and 49 control subjects. The diabetic group showed higher serum and vitreous fibulin-1 concentrations than the controls. Serum and vitreous fibulin-1 concentrations in PDR patients were significantly elevated compared with those in the other 3 groups. NPDR patients showed elevated levels of serum and vitreous fibulin-1 concentrations compared with patients without DR. Logistic regression analysis revealed that serum and vitreous fibulin-1 were risk factors for developing DR. Pearson correlation analysis showed that serum fibulin-1 was correlated with systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose and vitreous fibulin-1. Furthermore, Pearson correlation analysis showed that vitreous fibulin-1 was correlated with SBP, DBP, high-density lipoprotein cholesterol and serum fibulin-1. Serum and vitreous fibulin-1 concentrations are elevated under DR condition.

2020 ◽  
Vol 27 (05) ◽  
pp. 1011-1016
Author(s):  
Syed Munawar Alam ◽  
Sagheer Ahmed ◽  
Shazia Bano ◽  
Shahneela Perveen

Objectives: The aim of this study was to evaluate the major determinants of diabetic retinopathy. Study Design: Cross sectional, case control study. Setting: Department of Biochemistry, Basic Medical Sciences Institute, Jinnah Post Graduate Medical Centre, Karachi. Period: March 2015 to April 2016. Material & Methods: Ethical approval was taken from the Institutional Review Board of JPMC. A total of 208 people including type 2 diabetic patients and healthy control subjects; of male gender, aged between ≥30 years and ≤ 60 years were recruited and assigned to four study groups. Each group comprise of 52 individuals, depending on the ophthalmoscopy findings, i.e. healthy controls, diabetic without retinopathy (NDR), diabetic with non-proliferative diabetic retinopathy (NPDR) and diabetic with proliferative diabetic retinopathy (PDR). Fasting blood sugar was estimated using GOD-PAP method, while HbA1c was estimated by HPLC method. Data was analyzed on SPSS software version 16. Results: Diabetics with Diabetic Retinopathy had a poor glycemic control as compare to Diabetics without Diabetic Retinopathy (FBS; 109.12 ± 13.81 vs. 184.29 ± 40.07 vs. 188.6 ± 47.68 vs. 217.06 ± 62.33; p-value = 0.001) (HbA1c; 6.73 ± 0.56 vs. 8.40 ± 1.77 vs. 9.71 ± 1.85 vs. 14.91 ± 3.87; p-value = 0.001). For Diabetic Retinopathy the odds ratio of glycemic control i.e. FBS was observed as 1.019 & HbA1c was recorded as 1.561; which was statistically significant. Conclusion: Glycemic indicators; including FBS and HbA1c, are found to be the major determinants of Diabetic Retinopathy in our study.


2021 ◽  
Vol 8 ◽  
Author(s):  
Xixiang Tang ◽  
Ying Tan ◽  
Yi Yang ◽  
Mei Li ◽  
Xuemin He ◽  
...  

Background: Chronic inflammation in type 2 diabetes mellitus (T2DM) is an essential contributor to the development of diabetic retinopathy (DR). The monocyte–to–high-density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel and simple measure related to inflammatory and oxidative stress status. However, little is known regarding the role of the MHR in evaluating the development of DR.Methods: A total of 771 patients with T2DM and 607 healthy controls were enrolled in this cross-sectional study. MHR determination and eye examination were performed. The association of MHR with the prevalence of DR in T2DM patients was analyzed.Results: The MHR in patients with DR was significantly higher than that in both non-DR diabetic patients (P < 0.05) and healthy controls (P < 0.01). No significance was observed in the MHR of different DR severity grades. Moreover, the MHR was similar between patients with non-macular oedema and those with macular oedema. Logistic regression analysis demonstrated that MHR was independently associated with the prevalence of DR in diabetic patients [odds ratio (OR) = 1.438, 95% confidence interval (CI): 1.249–1.655, P < 0.01]. After additional stratification by HbA1c level and diabetic duration, the MHR was still independently associated with the prevalence of DR.Conclusions: Our study suggests that the MHR can be used as a marker to indicate the prevalence of DR in patients with T2DM.


2020 ◽  
Author(s):  
Mohammad hossein Somi ◽  
Zeinab Nikniaz ◽  
Mohammad Asghari Jafarabadi ◽  
Amir Taher Eftekharsadat ◽  
Mohammad Mirzaei ◽  
...  

Abstract Background : The aim of present study was to evaluate the association between diabetic retinopathy (DR), dietary inflammatory index (DII), and metabolic syndrome (MetS) in patients with type 2 diabetes in a cohort study in Iran. Methods: This cross-sectional study was a part of the large Azar eye cohort study that included 1378 patients with type 2 diabetes. To diagnose DR, two mydriatric fundus photographs were captured using a digital fundus camera. The DR severity was classified as non-proliferative diabetic retinopathy (NPDR) or proliferative diabetic retinopathy (PDR). MetS was determined on the basis of the ATPIII criteria. DII was calculated according to Shivappa et al. method. Results: Of 1378 diabetic patients, 185 (13.4%) had NPDR and 142 (10.3%) had PDR. The risk of NPDR and PDR increased by 2.65-fold and 2.01-fold, respectively, in patients having blood glucose levels that fell outside the recommended range. There was no statistically significant relationship between Mets, Mets components, and DII in NPDR and PDR. Conclusion: The results suggest that intensive glycemic control, rather than conventional control, may help reduce the progression of DR. It seems that longitudinal studies and clinical trials for evaluating role of DII in DR are necessary.


2019 ◽  
pp. 13
Author(s):  
Remva Paul ◽  
J.K. Mukkadan

Background: Diabetes is one of the largest global health emergencies of the 21st century. About 425 million people worldwide or 8.8% of adults between the ages of 20-79 years are estimated to have diabetes. There are evidences which show that higher blood glucose and cholesterol levels have an association with free radical-mediated lipid peroxidation. The aim of the study was to compare and correlate glycosylated haemoglobin (HbA1c), lipid peroxidation marker malondialdehyde (MDA), lipid profile, and antioxidant enzyme superoxide dismutase (SOD) activity in subjects with varying levels of glucose metabolism. Materials and methods: This was a cross sectional study. Based on fasting plasma glucose and HbA1c, subjects were divided into diabetic patients (n= 40), pre-diabetic patients (n=38) and normal patients (n=41). Subjects were tested for lipid profile, MDA, and SOD activity. The comparison of parameter between the groups was carried out using one-way ANOVA followed by tukey’s multiple comparison test. The correlation between parameter was analyzed by Karl Pearson correlation coefficient using SPSS 20.0. Results: The serum MDA levels (nmol/ml) were significantly higher in pre-diabetes (3.11±0.40) and diabetes mellitus (3.55±0.88) compared to normal controls (2.04±0.99). The SOD activity(U/ml) were lower in diabetes (7.69±3.83) and pre-diabetic subjects (8.13±2.15) compared to normal subjects (11.16±3.61). MDA has significant positive correlation with HbA1c and total cholesterol level. SOD has significant negative correlation with HbA1c and Total cholesterol/High Density Lipoprotein (TC/ HDL) ratio. Conclusion: The findings strongly confirmed that there is a continuous interplay between glycemic status, lipid peroxidation and hyperlipidemia in which one factor perpetuates another leading to the progression of disease.


2021 ◽  
Vol 37 (4) ◽  
Author(s):  
Saima Jamshed ◽  
Ayesha Hanif ◽  
Irfan Qayyum Malik ◽  
Nukhba Zahid ◽  
Hafiza Sadia Imtiaz

Purpose:  To determine the relationship between HbA1c and severity of retinopathy in diabetic patients. Study Design:  Cross sectional study. Place and Duration of Study:  Eye department of DHQ-UTH Gujranwala, from July 2020 to Dec 2020. Methods:  An observational cross-sectional study including 100 patients was conducted at eye department of DHQ-UTH Gujranwala from January 2018 to December 2018. After approval from institutional review board, written informed consent with demographic variables was collected from every patient. Patients of either gender between 40-80 years of age with both types I and type II diabetes were included in this study. Complete ophthalmic examination including Best Corrected Visual Acuity, slit lamp biomicroscopy, Goldmann Applanation tonometry and fundus examination carried out. Diabetic retinopathy was classified from grade 0 to grade 5. Results:  Out of 100 patients, 46 (46%) were males and 54 (54%) were females. Mean age was 60 ± 2.4 years with a range of 40 – 80 years among males and 40 – 70 years among females. Forty patients presented with grade 1 diabetic retinopathy and 4% presented with grade 5. Thirty two patients had good glycemic control while 20% had glycemic control of grade III. Patients with grade 4 diabetic retinopathy had the worst glycemic control of HbA1c level of 11.5. Conclusion:  This study concluded that patients with poor glycemic control had severe diabetic retinopathy as compared to the patients with good diabetic control. There is a direct relation between HbA1c level and severity of diabetic retinopathy. Key Words:  HbA1C, Diabetic retinopathy, Non proliferative diabetic retinopathy, Proliferative diabetic retinopathy, Vitreous hemorrhage.


2019 ◽  
Author(s):  
Yi XU ◽  
Yongyi WANG ◽  
Bin LIU ◽  
Lin TANG ◽  
Liangqing LV ◽  
...  

Abstract Background: With the diabetes mellitus (DM) prevalence increasing annually, the human grading of retinal images to evaluate DR has posed a substantial burden worldwide. SmartEye is a recently developed fundus image processing and analysis system with lesion quantification function for DR screening. It is sensitive to the lesion area and can automatically identify the lesion position and size. We reported the diabetic retinopathy (DR) grading results of SmartEye versus ophthalmologists in analyzing images captured with non-mydriatic fundus cameras in community healthcare centers, as well as DR lesion quantitative analysis results on different disease stages. Methods: This is a cross-sectional study. All the fundus images were collected from the Shanghai Diabetic Eye Study in Diabetics (SDES) program from Apr 2016 to Aug 2017. 19904 fundus images were acquired from 6013 diabetic patients. The grading results of ophthalmologists and SmartEye are compared. Lesion quantification of several images at different DR stages is also presented. Results: The sensitivity for diagnosing no DR, mild NPDR (non-proliferative diabetic retinopathy), moderate NPDR, severe NPDR, PDR (proliferative diabetic retinopathy) are 86.19%, 83.18%, 88.64%, 89.59%, and 85.02%. The specificity are 63.07%, 70.96%, 64.16%, 70.38%, and 74.79%, respectively. The AUC are PDR, 0.80 (0.79, 0.81); severe NPDR, 0.80 (0.79, 0.80); moderate NPDR, 0.77 (0.76, 0.77); and mild NPDR, 0.78 (0.77, 0.79). Lesion quantification results showed that the total hemorrhage area, maximum hemorrhage area, total exudation area, and maximum exudation area increase with DR severity. Conclusions: SmartEye has a high diagnostic accuracy in DR screening program using non-mydriatic fundus cameras. SmartEye quantitative analysis may be an innovative and promising method of DR diagnosis and grading. Keywords: Diabetic retinopathy, Screening, Digital imaging processing, Lesion quantification, Epidemiology.


2019 ◽  
Author(s):  
Yi XU ◽  
Yongyi WANG ◽  
Bin LIU ◽  
Lin TANG ◽  
Liangqing LV ◽  
...  

Abstract Background With the diabetes mellitus (DM) prevalence increasing annually, the human grading of retinal images to evaluate DR has posed a substantial burden worldwide. SmartEye is a recently developed fundus image processing and analysis system with lesion quantification function for DR screening. It is sensitive to the lesion area and can automatically identify the lesion position and size. We reported the diabetic retinopathy (DR) grading results of SmartEye versus ophthalmologists in analyzing images captured with non-mydriatic fundus cameras in community healthcare centers, as well as DR lesion quantitative analysis results on different disease stages. Methods This is a cross-sectional study. All the fundus images were collected from the Shanghai Diabetic Eye Study in Diabetics (SDES) program from Apr 2016 to Aug 2017. 19904 fundus images were acquired from 6013 diabetic patients. The grading results of ophthalmologists and SmartEye are compared. Lesion quantification of several images at different DR stages is also presented. Results The sensitivity for diagnosing no DR, mild NPDR (non-proliferative diabetic retinopathy), moderate NPDR, severe NPDR, PDR (proliferative diabetic retinopathy) are 86.19%, 83.18%, 88.64%, 89.59%, and 85.02%. The specificity are 63.07%, 70.96%, 64.16%, 70.38%, and 74.79%, respectively. The AUC are PDR, 0.80 (0.79, 0.81); severe NPDR, 0.80 (0.79, 0.80); moderate NPDR, 0.77 (0.76, 0.77); and mild NPDR, 0.78 (0.77, 0.79). Lesion quantification results showed that the total hemorrhage area, maximum hemorrhage area, total exudation area, and maximum exudation area increase with DR severity. Conclusions SmartEye has a high diagnostic accuracy in DR screening program using non-mydriatic fundus cameras. SmartEye quantitative analysis may be an innovative and promising method of DR diagnosis and grading.


2020 ◽  
Author(s):  
Danna Mao ◽  
Ying Hu ◽  
Qi Bao ◽  
Kewei Wu ◽  
Yaoding Zheng ◽  
...  

Abstract Background: To determine plasma ephrin-A1 and VEGF165 levels in a cohort of diabetic retinopathy patients.Methods: Plasma ephrin-A1 and VEGF165 levels in fifty-five subjects including 19 individuals without diabetes (non-DM), 16 patients with diabetes (DM) but without diabetic retinopathy, and 20 patients with diabetic retinopathy (DR), were determined by ELISA. Serum creatinine, total cholesterol, fasting blood glucose and HbA1c were also measured. One-way ANOVA , Kruskal-Wallis Test, Mann-Whitney U Test corrected by Bonferroni, Pearson Correlation Analysis and Spearman Correlation Coefficient Analysis were used for data analysis.Results: Ephrin-A1 expression could be detected in human plasma with an average of 1.52 ± 0.43 (mean ± SEM) ng/ml. In DR subjects, the plasma ephrin-A1concentration was 3.63 ± 4.63 ng/ml, which was significantly higher than that of the other two groups (non-DM: 0.27 ± 0.13 ng/ml, DM: 0.35 ± 0.34 ng/ml). The expression of VEGF165 in human plasma was 34.00 ± 42.55 pg/ml, with no statistical difference among the three groups. There was no correlation between ephrin-A1 and VEGF165 in human plasma, but there was a correlation between plasma ephrin-A1 and duration of diabetes.Conclusions: Plasma ephrin-A1 was highly expressed in patients with diabetic retinopathy, and there was no difference of plasma VEGF165 expression in patients with diabetic retinopathy compared to the other two groups, suggesting that changes of plasma ephrin-A1 may be a more sensitive biomarker than plasma VEGF165 in detecting diabetic retinopathy.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jingyang Wu ◽  
Jin Geng ◽  
Limin Liu ◽  
Weiping Teng ◽  
Lei Liu ◽  
...  

Diabetic retinopathy (DR) is the leading cause of visual impairment and blindness in working-aged people. Several studies have suggested that glomerular filtration rate (GFR) was correlated with DR. This is a hospital-based study and the aim of it was to examine the relationship between the GFR and DR in patients with type 2 diabetes mellitus (T2DM). We used CKD-EPI equation to estimate GFR and SPSS 19.0 and EmpowerStats software to assess their relationship. Among the 1613 participants (aged 54.75 ± 12.19 years), 550 (34.1%) patients suffered from DR. The multivariate analysis revealed that the risk factors for DR include age (P<0.001, OR = 0.940), duration of diabetes (P<0.001, OR = 1.163), hemoglobin A1c (P=0.007, OR = 1.224), systolic blood pressure (P<0.001, OR = 1.032), diastolic blood pressure (P=0.007, OR = 0.953), high density lipoprotein cholesterol (P=0.024, OR = 3.884), and eGFR (P=0.010, OR = 0.973). Through stratified analysis and saturation effect analysis, our data suggests that eGFR of 99.4 mL/min or lower might imply the early stage of DR in diabetic patients. Thus, the evaluation of eGFR has clinical significance for the early diagnosis of DR.


2020 ◽  
Vol 2 (2) ◽  
pp. 98-105
Author(s):  
Shishir Paudel ◽  
Chiranjivi Adhikari ◽  
Anisha Chalise ◽  
Himlal Gautam

Background: Self-esteem is an overall subjective evaluation of one’s worth or value which encompasses the positive or negative orientation or beliefs towards oneself. Self-esteem has established itself as an important psychological factor contributing to health and quality of life. Thus, this study aimed at understanding the factors influencing the level of self-esteem among the undergraduate students and its correlation with depression, anxiety and stress symptoms experienced by the students.   Methods: A cross-sectional study was conducted among 618 randomly sampled undergraduates from different academic institutions of Pokhara Metropolitan using Rosenberg self-esteem scale to assess the level of self-esteem and DASS-21 to assess the level of depression, anxiety, and stress. The collected data was analyzed using SPSS statistical software. The chi-squire test, binary logistic regression and Pearson correlation analysis were performed to establish the relationship between variables at the level of significance, p<0.05. Results: More than three-forth (75.7%) of the students were found to have a normal level of self-esteem while around one-fifth (21.4%) of the students had low self-esteem. There was no statistical relationship established between students’ academic discipline and their self-esteem. However, students’ academic performance, family history of any psychological distress and their perceived level of social support were the major influencing factors associated with their self-esteem at p<0.001. Based on Pearson correlation analysis, self-esteem was negatively correlated with depression, anxiety and stress at p<0.01. Conclusion: The prevalence of low self-esteem was relatively lower in this students' group and there existed a negative correlation between self-esteem and depression, anxiety and stress experienced by the students. Thus, strategies aimed to increase students' level of perceived social support and self-esteem can reduce their risks of acquiring any mental health problems in near future.


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