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Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis
Joint Authors
Zhu, Yujie
Sun, Zhandong
Wang, Jian
Chen, Jiajia
Huang, Jie
Shen, Bairong
Lin, Yuxin
Yan, Wenying
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Sepsis is regarded as arising from an unusual systemic response to infection but the physiopathology of sepsis remains elusive.
At present, sepsis is still a fatal condition with delayed diagnosis and a poor outcome.
Many biomarkers have been reported in clinical application for patients with sepsis, and claimed to improve the diagnosis and treatment.
Because of the difficulty in the interpreting of clinical features of sepsis, some biomarkers do not show high sensitivity and specificity.
MicroRNAs (miRNAs) are small noncoding RNAs which pair the sites in mRNAs to regulate gene expression in eukaryotes.
They play a key role in inflammatory response, and have been validated to be potential sepsis biomarker recently.
In the present work, we apply a miRNA regulatory network based method to identify novel microRNA biomarkers associated with the early diagnosis of sepsis.
By analyzing the miRNA expression profiles and the miRNA regulatory network, we obtained novel miRNAs associated with sepsis.
Pathways analysis, disease ontology analysis, and protein-protein interaction network (PIN) analysis, as well as ROC curve, were exploited to testify the reliability of the predicted miRNAs.
We finally identified 8 novel miRNAs which have the potential to be sepsis biomarkers.
American Psychological Association (APA)
Huang, Jie& Sun, Zhandong& Yan, Wenying& Zhu, Yujie& Lin, Yuxin& Chen, Jiajia…[et al.]. 2014. Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis. BioMed Research International،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483618
Modern Language Association (MLA)
Huang, Jie…[et al.]. Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis. BioMed Research International No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-483618
American Medical Association (AMA)
Huang, Jie& Sun, Zhandong& Yan, Wenying& Zhu, Yujie& Lin, Yuxin& Chen, Jiajia…[et al.]. Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-483618
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483618