Biomarker Insights (Nov 2022)

Evaluation of Genetic Polymorphisms of the Antioxidant Enzymes and Biomarkers of Oxidative Stress in Preterm Neonates With Respiratory Distress Syndrome Receiving External Surfactant

  • Kannan Sridharan,
  • Mona Al Jufairi,
  • Aamal AbdulGhani Mahdi Hejab,
  • Abdulraoof Al Madhoob,
  • Reem Al Marzooq,
  • Safa Taha,
  • Muna Jaber Mulla Aljishi,
  • Ameera Abdulhadi,
  • Eman Al Ansari,
  • Masooma Abdulla Ali,
  • Maryam Ali Ahmed Naser,
  • Ola Al Segai,
  • Kevin Dunne

DOI
https://doi.org/10.1177/11772719221137608
Journal volume & issue
Vol. 17

Abstract

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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 GSTP1 , MnSOD , and eNOS (rs1799983) were significantly associated with differences in oxidative stress biomarkers. MnSOD (rs4880) significantly increased the risk of pulmonary complications in neonates with RDS. DNA damage product (8-OH-dG) concentrations before surfactant administration has the best predictive accuracy (AUC: 0.8; 95% CI: 0.7-1; P = .001) for pulmonary complications with a cut-off value of 5008.8 pg/mL. TAC concentrations are significantly greater on day 2 and day 3 amongst neonates receiving surfactant compared to the control group. AOPP in the umbilical cord blood was observed to significantly predict the severity of RDS (AUC: 0.8; 95% CI: 0.6-1; P = .01) with an optimal cut-off value of 88.78 µmol/L. Conclusion: We observed that SNPs in eNOS and MnSOD significantly influence the production of oxidative stress biomarkers in preterm neonates. Baseline 8-OH-dG concentrations best predict the risk of pulmonary complications and AOPP concentrations in the umbilical cord blood predict the risk of RDS severity.