Journal article
Authors list: Hilgendorff, Anne; Windhorst, Anita; Klein, Manuel; Tchatalbachev, Svetlin; Windemuth-Kieselbach, Christine; Kreuder, Joachim; Heckmann, Matthias; Gkatzoflia, Anna; Ehrhardt, Harald; Mysliwietz, Josef; Maier, Michael; Izar, Benjamin; Billion, Andre; Gortner, Ludwig; Chakraborty, Trinad; Hossain, Hamid
Publication year: 2017
Pages: 169-180
Journal: Journal of Molecular Medicine
Volume number: 95
Issue number: 2
ISSN: 0946-2716
eISSN: 1432-1440
Open access status: Hybrid
DOI Link: https://doi.org/10.1007/s00109-016-1466-4
Publisher: Springer
Abstract:
Early onset infection (EOI) in preterm infants < 32 weeks gestational age (GA) is associated with a high mortality rate and the development of severe acute and long-term complications. The pathophysiology of EOI is not fully understood and clinical and laboratory signs of early onset infections in this patient cohort are often not conclusive. Thus, the aim of this study was to identify signatures characterizing preterm infants with EOI by using genome-wide gene expression (GWGE) analyses from umbilical arterial blood of preterm infants. This prospective cohort study was conducted in preterm infants < 32 weeks GA. GWGE analyses using CodeLink human microarrays were performed from umbilical arterial blood of preterm infants with and without EOI. GWGE analyses revealed differential expression of 292 genes in preterm infants with EOI as compared to infants without EOI. Infants with EOI could be further differentiated into two subclasses and were distinguished by the magnitude of the expression of genes involved in both neutrophil and T cell activation. A hallmark activity for both subclasses of EOI was a common suppression of genes involved in natural killer (NK) cell function, which was independent from NK cell numbers. Significant results were recapitulated in an independent validation cohort. Gene expression profiling may enable early and more precise diagnosis of EOI in preterm infants.
Citation Styles
Harvard Citation style: Hilgendorff, A., Windhorst, A., Klein, M., Tchatalbachev, S., Windemuth-Kieselbach, C., Kreuder, J., et al. (2017) Gene expression profiling at birth characterizing the preterm infant with early onset infection, Journal of Molecular Medicine, 95(2), pp. 169-180. https://doi.org/10.1007/s00109-016-1466-4
APA Citation style: Hilgendorff, A., Windhorst, A., Klein, M., Tchatalbachev, S., Windemuth-Kieselbach, C., Kreuder, J., Heckmann, M., Gkatzoflia, A., Ehrhardt, H., Mysliwietz, J., Maier, M., Izar, B., Billion, A., Gortner, L., Chakraborty, T., & Hossain, H. (2017). Gene expression profiling at birth characterizing the preterm infant with early onset infection. Journal of Molecular Medicine. 95(2), 169-180. https://doi.org/10.1007/s00109-016-1466-4
Keywords
COUNT; DEFICIENT; Gene expression profiling; LEUKOCYTE BLOOD PICTURE; Neonatal sepsis; NEONATAL SEPSIS