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Updated: Apr 30, 2026

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
Published on: November 30, 2016
Identification of microRNA as sepsis biomarker based on miRNAs regulatory network analysis
Jie Huang1, Zhandong Sun2, Wenying Yan3
1Systems Sepsis Biology Team, Soochow University Affiliated Children's Hospital, Suzhou 215003, China.
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.
Insights
Researchers identified 8 novel microRNAs (miRNAs) as potential biomarkers for the early diagnosis of sepsis. This discovery could improve sepsis detection and patient outcomes by addressing the limitations of current diagnostic methods.
Area of Science:
- Biochemistry and Molecular Biology
- Genetics and Genomics
- Immunology
Background:
- Sepsis, a life-threatening response to infection, has elusive physiopathology and poor outcomes.
- Current sepsis biomarkers often lack high sensitivity and specificity due to complex clinical features.
- MicroRNAs (miRNAs) are emerging as promising biomarkers due to their role in inflammatory responses.
Purpose of the Study:
- To identify novel microRNA (miRNA) biomarkers for the early diagnosis of sepsis.
- To leverage miRNA regulatory networks for biomarker discovery.
- To enhance the accuracy and timeliness of sepsis diagnosis.
Main Methods:
- Analysis of miRNA expression profiles and miRNA regulatory networks.
- Utilized pathways analysis, disease ontology analysis, and protein-protein interaction network (PIN) analysis.
- Employed Receiver Operating Characteristic (ROC) curve analysis to validate biomarker reliability.
Main Results:
- Identified 8 novel microRNAs (miRNAs) associated with sepsis.
- Demonstrated the potential of these miRNAs in early sepsis detection.
- Validated the reliability of the identified miRNAs through multiple analytical approaches.
Conclusions:
- The 8 novel miRNAs show significant potential as biomarkers for early sepsis diagnosis.
- This miRNA-based approach offers a promising avenue for improving sepsis management.
- Further validation is warranted to translate these findings into clinical practice.
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