We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Identification of MicroRNA as Sepsis Biomarker Based on miRNAs Regulatory Network Analysis.
- Authors
Jie Huang; Zhandong Sun; Wenying Yan; Yujie Zhu; Yuxin Lin; Jiajai Chen; Bairong Shen; Jian Wang
- Abstract
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.
- Publication
BioMed Research International, 2014, Vol 2014, p1
- ISSN
2314-6133
- Publication type
Article
- DOI
10.1155/2014/594350