The Tohoku Journal of Experimental Medicine
Online ISSN : 1349-3329
Print ISSN : 0040-8727
ISSN-L : 0040-8727
Regular Contribution
Abnormal Expression of SNHG7 Is a Biomarker for the Diagnosis and Prognosis of Neonatal Sepsis
Ling LiShasha ZhangJunyan LiuYao Luo
Author information
JOURNAL OPEN ACCESS FULL-TEXT HTML

2022 Volume 258 Issue 4 Pages 257-263

Details
Abstract

Long non-coding RNA (lncRNA) is of great significance in diagnosing and prognosis of human diseases. This study aims to explore the expression of lncRNA SNHG7 in infants with neonatal sepsis and further evaluate the diagnostic and prognostic value of SNHG7 in neonatal sepsis. The expression levels of serum SNHG7 in 81 neonates were detected by quantitative real-time-PCR (qRT-PCR). The correlations between SNHG7 and clinicopathological indicators were estimated by the Pearson correlation coefficient. The receiver operating characteristic (ROC) curve was generated to assess the diagnostic value of SNHG7. Kaplan-Meier survival curve and multivariate Cox regression analysis were conducted to evaluate the prognostic value of SNHG7 in neonatal sepsis. The expression level of serum SNHG7 was significantly upregulated in the neonatal sepsis group compared to the controls, and overexpressed SNHG7 showed clinical diagnostic value for neonatal sepsis. It was observed that the SNHG7 levels were positively correlated with some indicators representing the degree of inflammation. Follow-up analysis and multivariate Cox regression revealed that the death probability of neonates with high SNHG7 level was higher than that with low SNHG7 levels, and SNHG7 was an independent factor of poor prognosis in neonates with neonatal sepsis. Together, our findings show that highly expressed SNHG7 has the potential to be a diagnostic biomarker for neonates with neonatal sepsis and was closely related to the poor prognosis of neonatal sepsis.

Content from these authors
© 2022 Tohoku University Medical Press

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND 4.0). Anyone may download, reuse, copy, reprint, or distribute the article without modifications or adaptations for non-profit purposes if they cite the original authors and source properly.
https://creativecommons.org/licenses/by-nc-nd/4.0/
Previous article Next article
feedback
Top