Related Experiment Video
Updated: Jan 23, 2026

Analysis of Oxidative Stress in Zebrafish Embryos
Published on: July 7, 2014
Markers of Oxidative Stress and Endothelial Dysfunction Predict Haemodialysis Patients Survival
Sonja Suvakov1,2, Djurdja Jerotic1, Tatjana Damjanovic3
1Institute of Medical and Clinical Biochemistry, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Introduction:
Overall survival of patients with end-stage renal disease (ESRD) remains poor. Oxidative stress is one of the major risk factors associated with mortality in this patient group. As glutathione S-transferases (GST) are well-established antioxidants, we hypothesized that a model including GST gene polymorphisms, oxidative damage byproducts and cell adhesion markers has a prognostic role in ESRD patient survival.
Methods:
A prospective study of 199 patients with ESRD on haemodialysis was conducted. GST genotype, oxidative stress byproducts and cell adhesion molecules were measured in plasma. Multivariate Cox regression and Kaplan-Meier survival analyses were performed to test the predictive ability of these parameters in the 8-year follow-up period.
Results:
GSTM1-null genotype was associated with significantly shorter overall (HR 1.6, p = 0.018) and cardiovascular-specific (HR 2.1, p = 0.010) survival. Oxidative stress byproducts (advanced oxidation protein products [AOPP], prooxidant-antioxidant balance [PAB], malondialdehyde [MDA]) and cell adhesion molecules (soluble vascular cell adhesion molecule-1 [sVCAM-1] and soluble intercellular adhesion molecule-1 [sICAM-1]) demonstrated a significant predictive role in terms of overall and cardiovascular survival. When 6 biomarkers (GSTM1 genotype, high AOPP/PAB/MDA/-sVCAM-1/sICAM-1) were combined into a scoring model, a significantly shorter overall and cardiovascular survival was observed for patients with the highest score (p < 0.001).
Conclusion:
We identified a novel panel of biomarkers that can be utilized in predicting survival in ESRD patients. This biomarker signature could enable better monitoring of patients and stratification into appropriate treatment groups.
More Related Videos
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
09:10Human Saphenous Vein Endothelial Cell Isolation and Exposure to Controlled Levels of Shear Stress and Stretch
Published on: April 21, 2023
Related Concept Videos
Oxidation Numbers
Predicting Molecular Geometry
Survival Tree
Building a Survival Tree
Constructing a...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Responses to Heat and Cold Stress
Pyruvate Oxidation
First, the enzyme pyruvate dehydrogenase removes the carboxyl group from pyruvate and releases it as carbon dioxide. The stripped molecule is then oxidized and releases electrons, which are then picked up by NAD+...