Serum Interleukin-33 as a Biomarker in Predicting Neonatal Sepsis in Premature Infants

Title:Serum Interleukin-33 as a Biomarker in Predicting Neonatal Sepsis in Premature Infants

Volume: 21 Issue: 7

Author(s): Halit Halil*, Cuneyt Tayman, Mehmet Buyuktiryaki, Nilufer Okur, Ufuk Cakır and Utku Serkant

Affiliation:

• Division of Neonatology, Zekai Tahir Burak Maternity Teaching Hospital, Ankara,Turkey

Keywords: Biomarkers, C-reactive protein, interleukin-33, interleukin-6, premature infants, neonatal sepsis.

Abstract: Background: Neonatal sepsis is considered as the most frequent cause of death in newborns. Early diagnosis is important to reduce mortality and morbidity. The rapid progression of the disease requires proper use of biomarkers specific for prompt diagnosis and intervention.

Objective: We aimed to evaluate the benefit of interleukin-33 serum levels in the diagnosis and treatment of neonatal sepsis.

Method: We included 51 infants with neonatal sepsis as the main study group and 50 neonates without sepsis as the control group. Serum levels of interleukin-6, interleukin-33 and C-reactive protein were measured on the 1st, 3rd and 7th days of sepsis in the study group and on the 3rd postpartum day in the control group, respectively.

Results: Serum levels of interleukin-6, interleukin-33 and C-reactive protein were significantly higher in the first day of sepsis. Serum levels of interleukin-6, interleukin-33 and C-reactive protein decreased significantly on the 3rd and the 7th days of antibiotic treatment. We found a significant relationship between interleukin-33 and C-reactive protein and between interleukin-6 and C-reactive protein on the first day of sepsis.

Conclusion: Serum interleukin-33 level is up-regulated in neonatal sepsis, which might be used as a novel diagnostic marker and also a useful tool to predict prognosis in early neonatal sepsis.

Cite this article as:

Halil Halit *, Tayman Cuneyt , Buyuktiryaki Mehmet , Okur Nilufer , Cakır Ufuk and Serkant Utku , Serum Interleukin-33 as a Biomarker in Predicting Neonatal Sepsis in Premature Infants, Combinatorial Chemistry & High Throughput Screening 2018; 21 (7) . https://dx.doi.org/10.2174/1386207321666180911090656