Long Noncoding RNA THAP9-AS1 and TSPOAP1-AS1 Provide Potential Diagnostic Signatures for Pediatric Septic Shock

Joint Authors

Wu, Yong
Yin, Qigai
Zhang, Xiaobao
Zhu, Pin
Luan, Hengfei
Chen, Ying

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-02

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Background.

Sepsis is a systemic inflammatory syndrome caused by infection with a high incidence and mortality.

Although long noncoding RNAs have been identified to be closely involved in many inflammatory diseases, little is known about the role of lncRNAs in pediatric septic shock.

Methods.

We downloaded the mRNA profiles GSE13904 and GSE4607, of which GSE13904 includes 106 blood samples of pediatric patients with septic shock and 18 health control samples; GSE4607 includes 69 blood samples of pediatric patients with septic shock and 15 health control samples.

The differentially expressed lncRNAs were identified through the limma R package; meanwhile, GO terms and KEGG pathway enrichment analysis was performed via the clusterProfiler R package.

The protein-protein interaction (PPI) network was constructed based on the STRING database using the targets of differently expressed lncRNAs.

The MCODE plug-in of Cytoscape was used to screen significant clustering modules composed of key genes.

Finally, stepwise regression analysis was performed to screen the optimal lncRNAs and construct the logistic regression model, and the ROC curve was applied to evaluate the accuracy of the model.

Results.

A total of 13 lncRNAs which simultaneously exhibited significant differences in the septic shock group compared with the control group from two sets were identified.

According to the 18 targets of differentially expressed lncRNAs, we identified some inflammatory and immune response-related pathways.

In addition, several target mRNAs were predicted to be potentially involved in the occurrence of septic shock.

The logistic regression model constructed based on two optimal lncRNAs THAP9-AS1 and TSPOAP1-AS1 could efficiently separate samples with septic shock from normal controls.

Conclusion.

In summary, a predictive model based on the lncRNAs THAP9-AS1 and TSPOAP1-AS1 provided novel lightings on diagnostic research of septic shock.

American Psychological Association (APA)

Wu, Yong& Yin, Qigai& Zhang, Xiaobao& Zhu, Pin& Luan, Hengfei& Chen, Ying. 2020. Long Noncoding RNA THAP9-AS1 and TSPOAP1-AS1 Provide Potential Diagnostic Signatures for Pediatric Septic Shock. BioMed Research International،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1136615

Modern Language Association (MLA)

Wu, Yong…[et al.]. Long Noncoding RNA THAP9-AS1 and TSPOAP1-AS1 Provide Potential Diagnostic Signatures for Pediatric Septic Shock. BioMed Research International No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1136615

American Medical Association (AMA)

Wu, Yong& Yin, Qigai& Zhang, Xiaobao& Zhu, Pin& Luan, Hengfei& Chen, Ying. Long Noncoding RNA THAP9-AS1 and TSPOAP1-AS1 Provide Potential Diagnostic Signatures for Pediatric Septic Shock. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1136615

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1136615