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

IF 3.4 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Insights Pub Date : 2022-11-13 eCollection Date: 2022-01-01 DOI:10.1177/11772719221137608
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
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引用次数: 1

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 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.

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接受外部表面活性剂治疗的呼吸窘迫综合征早产儿抗氧化酶和氧化应激生物标志物的遗传多态性评价
背景:早产儿,特别是极早产儿,由于表面活性剂缺乏,容易发生呼吸窘迫综合征(RDS)。抗氧化酶中的单核苷酸多态性(snp)影响抗氧化和氧化应激分子之间的平衡。目的:探讨抗氧化酶snp和氧化应激生物标志物在RDS早产儿中的作用。设计:观察性横断面研究。方法:以诊断为RDS的早产儿24小时内接受外表面活性剂治疗为例,未诊断为RDS的早产儿为对照组。在给药前(第1天)、第2天和第3天采集脐带血和外周血标本。采用酶联免疫吸附法评价血浆丙二醛、8-羟基-2-脱氧鸟苷(8-OH-dG)、高级氧化蛋白产物(AOPP)、总抗氧化能力(TAC)、visfatin、还原性谷胱甘肽和伴侣蛋白60。采用实时聚合酶链反应检测锰超氧化物歧化酶(MnSOD)、铜/锌超氧化物歧化酶(Cu/Zn SOD)、谷胱甘肽过氧化物酶(GPX1和GPX3)、过氧化氢酶(CAT)、谷胱甘肽s -转移酶(GSTP1)的snp。利用曲线下面积(AUC)和95%置信区间(95% CI),采用受试者操作特征曲线预测生物标志物的准确性。结果:GSTP1、MnSOD和eNOS (rs1799983) snp显著影响整个研究人群的氧化生物标志物浓度。GSTP1、MnSOD和eNOS (rs1799983)的snp与氧化应激生物标志物的差异显著相关。MnSOD (rs4880)显著增加RDS新生儿肺部并发症的发生风险。表面活性剂给药前DNA损伤产物(8-OH-dG)浓度的预测精度最高(AUC: 0.8;95% ci: 0.7-1;P = .001),临界值为5008.8 pg/mL。与对照组相比,接受表面活性剂治疗的新生儿在第2天和第3天的TAC浓度明显更高。脐带血AOPP可显著预测RDS的严重程度(AUC: 0.8;95% ci: 0.6-1;P = 0.01),最佳临界值为88.78µmol/L。结论:我们观察到eNOS和MnSOD的snp显著影响早产儿氧化应激生物标志物的产生。基线8-OH-dG浓度最能预测肺部并发症的风险,脐带血AOPP浓度最能预测RDS严重程度的风险。
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来源期刊
Biomarker Insights
Biomarker Insights MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.00
自引率
0.00%
发文量
26
审稿时长
8 weeks
期刊介绍: An open access, peer reviewed electronic journal that covers all aspects of biomarker research and clinical applications.
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