Whole blood gene expression profiling of neonates with confirmed bacterial sepsis.

Autor: Dickinson P; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK ; SynthSys-Synthetic and Systems Biology, University of Edinburgh, Edinburgh EH9 3JD, UK., Smith CL; Neonatal Unit, Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK., Forster T; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK ; SynthSys-Synthetic and Systems Biology, University of Edinburgh, Edinburgh EH9 3JD, UK., Craigon M; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK., Ross AJ; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK., Khondoker MR; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK., Ivens A; Fios Genomics Ltd., Edinburgh BioQuater, Edinburgh EH16 4SB, UK., Lynn DJ; Animal & Bioscience Research Department, AGRIC, Teagasc, Grange, Dunsany, Co. Meath, Ireland., Orme J; Neonatal Unit, Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK., Jackson A; Neonatal Unit, Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK., Lacaze P; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK., Flanagan KL; MRC Research Laboratories, Atlantic Boulevard, PO Box 273, Fajara, Gambia., Stenson BJ; Neonatal Unit, Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK., Ghazal P; Division of Infection and Pathway Medicine, Edinburgh Infectious Diseases, University of Edinburgh, Edinburgh EH16 4SB, UK ; SynthSys-Synthetic and Systems Biology, University of Edinburgh, Edinburgh EH9 3JD, UK.
Jazyk: angličtina
Zdroj: Genomics data [Genom Data] 2014 Nov 15; Vol. 3, pp. 41-8. Date of Electronic Publication: 2014 Nov 15 (Print Publication: 2015).
DOI: 10.1016/j.gdata.2014.11.003
Abstrakt: Neonatal infection remains a primary cause of infant morbidity and mortality worldwide and yet our understanding of how human neonates respond to infection remains incomplete. Changes in host gene expression in response to infection may occur in any part of the body, with the continuous interaction between blood and tissues allowing blood cells to act as biosensors for the changes. In this study we have used whole blood transcriptome profiling to systematically identify signatures and the pathway biology underlying the pathogenesis of neonatal infection. Blood samples were collected from neonates at the first clinical signs of suspected sepsis alongside age matched healthy control subjects. Here we report a detailed description of the study design, including clinical data collected, experimental methods used and data analysis workflows and which correspond with data in Gene Expression Omnibus (GEO) data sets (GSE25504). Our data set has allowed identification of a patient invariant 52-gene classifier that predicts bacterial infection with high accuracy and lays the foundation for advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.
Databáze: MEDLINE
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