Markers of Oxidative Stress and Endothelial Dysfunction Predict Haemodialysis Patients Survival

Sonja Suvakov, Djurdja Jerotic, Tatjana Damjanovic, Natasa Milic, Tatjana Pekmezovic, Tatjana Djukic, Zorana Jelic-Ivanovic, Ana Savic Radojevic, Marija Pljesa-Ercegovac, Marija Matic, Lana Mcclements, Nada Dimkovic, Vesna D. Garovic, Robert C. Albright, Tatjana Simic

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)115-125
Number of pages11
JournalAmerican journal of nephrology
Issue number2
StatePublished - Jul 1 2019


  • Endothelial dysfunction
  • Gene polymorphism
  • Haemodialysis
  • Oxidative stress
  • Survival analysis

ASJC Scopus subject areas

  • Nephrology


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