scholarly journals TNF-Alpha Levels in Tears: A Novel Biomarker to Assess the Degree of Diabetic Retinopathy

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
C. Costagliola ◽  
V. Romano ◽  
M. De Tollis ◽  
F. Aceto ◽  
R. dell’Omo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Diabetic Retinopathy ◽  
Body Mass ◽  
Proliferative Diabetic Retinopathy ◽  
Fluid Collection ◽  
Tnf Alpha ◽  
Control Group ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Necrosis Factor Alpha

We assess the level of tumour necrosis factor alpha (TNF-alpha) in tear fluids and other serum parameters associated with diabetes in different degrees of diabetic retinopathy. We have performed a prospective, nonrandomized, observational study. Study population consisted of 16 healthy subjects (controls) and 32 type 2 diabetic patients: 16 affected by proliferative diabetic retinopathy (PDR) and 16 with nonproliferative retinopathy (NDPR, background/preproliferative). Body mass index, urinary albumin, blood glucose, HbA1c, and tear levels of TNF-alpha were measured in all subjects. The value of glycaemia, microalbuminurea, and Body mass index in diabetic retinopathy groups were higher than those in control group (). Glycemia in NPDR: 6.6 mmol/L (range: 5.8–6.3); in PDR: 6.7 mmol/L (range: 6.1–7.2); in control: 5.7 mmol/L (range: 4.9–6.1); microalbuminurea in NPDR: 10.6 mg/L (range: 5.6–20); in PDR: 25.2 mg/L (range: 17–40); in control: 5.3 mg/L (range: 2.6–10); Body mass index in NPDR: 26 Kg/m2(range: 20.3–40); in PDR: 28 Kg/m2(range 20.3–52); in control: 21 Kg/m2(range 19–26). The TNF-alpha concentrations in tears increase with the severity of pathology and were lower in control group than in diabetic subjects. In the end, the level of TNF-alpha is highly correlated with severity of diabetic retinopathy and with nephropathy. Tear fluid collection may be a useful noninvasive method for the detection of proliferative diabetic retinopathy.

Proteomic Analysis of the Vitreous Body in Proliferative and Non-Proliferative Diabetic Retinopathy

2020 ◽  
Vol 17 ◽  
Author(s):  
Van-An Duong ◽  
Jeeyun Ahn ◽  
Na-Young Han ◽  
Jong-Moon Park ◽  
Jeong-Hun Mok ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Microvascular Complications ◽  
Treatment Options ◽  
Vitreous Body ◽  
Control Group ◽  
Diabetic Patients ◽  
Protein Protein Interaction ◽  
Alpha Beta ◽  
New Treatment

Background: Diabetic Retinopathy (DR), one of the major microvascular complications commonly occurring in diabetic patients, can be classified into Proliferative Diabetic Retinopathy (PDR) and Non-Proliferative Diabetic Retinopathy (NPDR). Currently available therapies are only targeted for later stages of the disease in which some pathologic changes may be irreversible. Thus, there is a need to develop new treatment options for earlier stages of DR through revealing pathological mechanisms of PDR and NPDR. Objective: The purpose of this study was to characterize proteomes of diabetic through quantitative analysis of PDR and NPDR. Methods: Vitreous body was collected from three groups: control (non-diabetes mellitus), NPDR, and PDR. Vitreous proteins were digested to peptide mixtures and analyzed using LC-MS/MS. MaxQuant was used to search against the database and statistical analyses were performed using Perseus. Gene ontology analysis, related-disease identification, and protein-protein interaction were performed using the differential expressed proteins. Results: Twenty proteins were identified as critical in PDR and NPDR. The NPDR group showed different expressions of kininogen-1, serotransferrin, ribonuclease pancreatic, osteopontin, keratin type II cytoskeletal 2 epidermal, and transthyretin. Also, prothrombin, signal transducer and activator of transcription 4, hemoglobin subunit alpha, beta, and delta were particularly up-regulated proteins for PDR group. The up-regulated proteins related to complement and coagulation cascades. Statherin was down-regulated in PDR and NPDR compared with the control group. Transthyretin was the unique protein that increased its abundance in NPDR compared with the PDR and control group. Conclusion: This study confirmed the different expressions of some proteins in PDR and NPDR. Additionally, we revealed uniquely expressed proteins of PDR and NPDR, which would be differential biomarkers: prothrombin, alpha-2-HS-glycoprotein, hemoglobin subunit alpha, beta, and transthyretin.

scholarly journals Stringent glycemic control is still the key to evade diabetic retinopathy.

2020 ◽  
Vol 27 (05) ◽  
pp. 1011-1016
Author(s):  
Syed Munawar Alam ◽  
Sagheer Ahmed ◽  
Shazia Bano ◽  
Shahneela Perveen
Keyword(s):  
Diabetic Retinopathy ◽  
Glycemic Control ◽  
Proliferative Diabetic Retinopathy ◽  
Study Groups ◽  
Hplc Method ◽  
P Value ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Institutional Review

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.

scholarly journals Body Mass Index: A Risk Factor for Retinopathy in Type 2 Diabetic Patients

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Snježana Kaštelan ◽  
Martina Tomić ◽  
Antonela Gverović Antunica ◽  
Spomenka Ljubić ◽  
Jasminka Salopek Rabatić ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Developed Countries ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Significant Deterioration ◽  
Group 2

The aim of the study was to investigate whether body mass index (BMI) independently or in correlation with other risk factors is associated with diabetic retinopathy (DR) progression. The study included 545 patients with type 2 diabetes. According to DR status, they were divided into three groups: group 1 (no retinopathy;n=296), group 2 (mild/moderate nonproliferative DR;n=118), and group 3 (severe/very severe NPDR or proliferative DR;n=131). Patients without DR were younger than those with signs of retinopathy at time of diabetes onset whilst diabetes duration was longer in groups with severe NPDR and PDR. DR progression was correlated with diabetes duration, BMI, HbA1c, hypertension, and cholesterol. Statistical analyses showed that the progression of retinopathy increased significantly with higher BMI (gr. 1: 26.50 ± 2.70, gr. 2: 28.11 ± 3.00, gr. 3: 28.69 ± 2.50;P<0.01). We observed a significant deterioration of HbA1c and a significant increase in cholesterol and hypertension with an increase in BMI. Correlation between BMI and triglycerides was not significant. Thus, BMI in correlation with HbA1c cholesterol and hypertension appears to be associated with the progression of DR in type 2 diabetes and may serve as a predictive factor for the development of this important cause of visual loss in developed countries.

Modifying Effect of Body Mass Index on Survival in Elderly Type 2 Diabetic Patients: Hong Kong Diabetes Registry

2016 ◽  
Vol 17 (3) ◽  
pp. 276.e15-276.e22 ◽  
Author(s):  
Kitty K.T. Cheung ◽  
Guozhi Jiang ◽  
Jenny S.W. Lee ◽  
Andrea O.Y. Luk ◽  
Alice P.S. Kong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hong Kong ◽  
Body Mass ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Diabetes Registry ◽  
Modifying Effect ◽  
Type 2 Diabetic

scholarly journals The relationships among hyperuricemia, body mass index and impaired renal function in type 2 diabetic patients

2018 ◽  
Vol 65 (3) ◽  
pp. 281-290 ◽  
Author(s):  
Yongmei Li ◽  
Xing Fan ◽  
Chunjun Li ◽  
Xinyue Zhi ◽  
Liyuan Peng ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Renal Function ◽  
Body Mass ◽  
Impaired Renal Function ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic
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