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

BioMed Research International

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

Medicine

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