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dc.creatorŠuvakov, Sonja
dc.creatorJerotić, D
dc.creatorDamjanović, Tatjana
dc.creatorMilić, N
dc.creatorPekmezović, T
dc.creatorĐukić, Tatjana
dc.creatorJelić-Ivanović, Zorana
dc.creatorSavić-Radojević, Ana
dc.creatorPljesa-Ercegovac, Marija
dc.creatorMatić, Marija
dc.creatorMcClements, L
dc.creatorDimković, Nada
dc.creatorGarović, V.D
dc.creatorAlbright, R.C
dc.creatorSimić, Tatjana
dc.date.accessioned2019-09-02T12:09:19Z
dc.date.available2019-09-02T12:09:19Z
dc.date.issued2019
dc.identifier.issn0250-8095
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/3277
dc.description.abstractIntroduction: 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 lt 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.en
dc.publisherS. Karger AG
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/175052/RS//
dc.rightsrestrictedAccess
dc.sourceAmerican Journal of Nephrology
dc.subjectEndothelial dysfunctionen
dc.subjectGene polymorphismen
dc.subjectHaemodialysisen
dc.subjectOxidative stressen
dc.subjectSurvival analysisen
dc.titleMarkers of Oxidative Stress and Endothelial Dysfunction Predict Haemodialysis Patients Survivalen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractAлбригхт, Р.Ц; Шуваков, Соња; Димковић, Нада; Матић, Марија; Пљеса-Ерцеговац, Марија; Савић-Радојевић, Aна; Симић, Татјана; Ђукић, Татјана; Јеротић, Д; Дамјановић, Татјана; Милић, Н; МцЦлементс, Л; Јелић-Ивановић, Зорана; Гаровић, В.Д; Пекмезовић, Т;
dc.citation.rankM21
dc.identifier.wos000480262300004
dc.identifier.doi10.1159/000501300
dc.identifier.scopus2-s2.0-85068526930
dc.identifier.rcubconv_4600
dc.type.versionpublishedVersion


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