ArticleBiomarker insights2022
Evaluation of Genetic Polymorphisms of the Antioxidant Enzymes and Biomarkers of Oxidative Stress in Preterm Neonates With Respiratory Distress Syndrome Receiving External Surfactant.
Article in Biomarker insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Early predictive value of interleukin-6 and procalcitonin levels for bronchopulmonary dysplasia in preterm infants.Translational pediatrics · 2025Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Preterm neonates, particularly extremely preterm, are susceptible to respiratory distress syndrome (RDS) due to surfactant deficiency. Single nucleotide polymorphisms (SNPs) in the antioxidant enzymes influence the balance between antioxidant and oxidative stress molecules. Objectives: To ascertain the role of SNPs of antioxidant enzymes and oxidative stress biomarkers in preterm neonates with RDS. Design: Observational, cross-sectional study. Methods: Preterm neonates diagnosed with RDS receiving external surfactant within 24 hours were considered as the cases and those without RDS were the control group. Umbilical cord blood and peripheral blood samples before administering surfactant (day 1), and on days 2 and 3 were collected. Plasma malondialdehyde, 8-hydroxy-2-deoxy guanosine (8-OH-dG), advanced oxidation protein products (AOPP), total antioxidant capacity (TAC), visfatin, reduced glutathione, and chaperonin 60 were evaluated using enzyme-linked immunosorbent assay. SNPs in manganese superoxide dismutase (MnSOD), copper/zinc superoxide dismutase (Cu/Zn SOD), glutathione peroxidase (GPX1 and GPX3), catalase (CAT), glutathione S-transferase (GSTP1) were evaluated using real-time polymerase-chain-reaction. The receiver-operating characteristics curve was used for predicting the accuracy of biomarkers using the area under the curve (AUC) and 95% confidence intervals (95% CI). Results: GSTP1, MnSOD, and eNOS (rs1799983) SNPs were observed to significantly influence the oxidative biomarker concentrations in the entire study population. SNPs in Conclusion: We observed that SNPs in
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