Correlation of various serum biomarkers with the severity of diabetic retinopathy.

Diabetes Metab Syndr

AU College of Pharmaceutical Sciences, Andhra University, Vishakhapatnam, India.

Published: November 2017

Unlabelled: Hyperglycemia induced inflammation and angiogenic factors are implicated as a contributor to the onset and progression of diabetic retinopathy (DR) in type 2 diabetes mellitus patients (T2DM). Tumor necrosis factor (TNF-alpha) and C-reactive protein (CRP) are inflammatory cytokines which induce retinal VEGF and are involved in the progression of proliferative diabetic retinopathy (PDR). Therefore the aim of the present study is to investigate the relationship between diabetic retinopathy and systemic inflammation in patients with type 2 diabetes mellitus.

Materials And Methods: Patients with T2DM, with or without diabetic retinopathy were included in the study. Serum inflammatory cytokines, vascular growth factor were studied in different stages of DR.

Results: Patients with T2DM with and without diabetic retinopathy were compared. Patients with diabetic retinopathy had increased serum levels of inflammatory cytokines CRP, TNF-alpha, as well as VEGF compared to serum levels of diabetic patients without retinopathy.

Conclusion: T2DM patients with retinopathy have higher levels of circulating inflammatory cytokines and VEGF compared to patients without retinopathy. These proinflammatory cytokines and angiogenic factors are involved in the progression of DR and proliferative diabetic retinopathy. The results showed the importance of inflammation and vascular endothelial growth factor in the progression of NPDR and PDR.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.dsx.2017.03.034DOI Listing

Publication Analysis

Top Keywords

diabetic retinopathy
32
inflammatory cytokines
16
patients t2dm
12
retinopathy
10
diabetic
9
angiogenic factors
8
type diabetes
8
patients
8
involved progression
8
progression proliferative
8

Similar Publications

Diabetic retinopathy is the most common sight-threatening complication of diabetes, necessitating regular monitoring of progression via diabetic eye screening (DES). The National Institute for Health and Care Excellence (NICE) recommends DES annually for diabetic patients aged 12 years and older. This retrospective clinical audit assessed the reasons behind non-attendance and evaluated the adherence to guidelines set by NICE in a general practice with approximately 9000 patients.

View Article and Find Full Text PDF

To assess the differences in measures of diabetic retinopathy (DR) disease burden between patients in high-income vs low-income ZIP codes when presenting to retina specialists. This retrospective cohort study comprised patients who presented to a retina specialist at Duke Eye Center between 2014 and 2023 for the management of DR. The quartile of patients with the highest income was compared with the quartile with the lowest income.

View Article and Find Full Text PDF

VEGF is not only the most potent angiogenic factor, but also an important neurotrophic factor. In this study, vitreous expression of six neurotrophic factors were examined in proliferative diabetic retinopathy (PDR) patients with prior anti-VEGF therapy (n = 48) or without anti-VEGF treatment (n = 41) via ELISA. Potential source, variation and impact of these factors were further investigated in a mouse model of oxygen-induced retinopathy (OIR), as well as primary Müller cells and 661W photoreceptor cell line under hypoxic condition.

View Article and Find Full Text PDF

Purpose: This study aims to develop a deep-learning-based software capable of detecting and differentiating microaneurysms (MAs) as hyporeflective or hyperreflective on structural optical coherence tomography (OCT) images in patients with non-proliferative diabetic retinopathy (NPDR).

Methods: A retrospective cohort of 249 patients (498 eyes) diagnosed with NPDR was analysed. Structural OCT scans were obtained using the Heidelberg Spectralis HRA + OCT device.

View Article and Find Full Text PDF

Diabetic retinopathy (DR) is a serious diabetes complication that can lead to vision loss, making timely identification crucial. Existing data-driven algorithms for DR staging from digital fundus images (DFIs) often struggle with generalization due to distribution shifts between training and target domains. To address this, DRStageNet, a deep learning model, was developed using six public and independent datasets with 91,984 DFIs from diverse demographics.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!