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Deregulated microRNA-22-3p in patients with sepsis-induced acute kidney injury serves as a new biomarker to predict disease occurrence and 28-day survival outcomes

Background Acute kidney injury (AKI) is a common and serious complication of sepsis. MicroRNA-22-3p (miR-22-3p) has been found to be involved in septic AKI progression. The purpose of this study was to analyze both the serum and urinary expression of miR-22-3p in septic AKI patients, and evaluated t...

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Published in:International urology and nephrology 2021-10, Vol.53 (10), p.2107-2116
Main Authors: Zhang, Hui, Che, Lin, Wang, Yanfei, Zhou, Haiyan, Gong, Haihong, Man, Xiaofei, Zhao, Qian
Format: Article
Language:English
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Summary:Background Acute kidney injury (AKI) is a common and serious complication of sepsis. MicroRNA-22-3p (miR-22-3p) has been found to be involved in septic AKI progression. The purpose of this study was to analyze both the serum and urinary expression of miR-22-3p in septic AKI patients, and evaluated the clinical value of miR-22-3p in the diagnosis and prognosis of sepsis-induced AKI. Methods Serum and urinary expression of miR-22-3p was examined using qRT-PCR. The risk factors related with septic AKI onset were assessed using logistic analysis. A receiver-operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of miR-22-3p, and the Kaplan–Meier survival curves and Cox regression analysis were used to evaluate the predictive value of miR-22-3p for the 28-day survival of septic AKI patients. Results Both serum and urinary miR-22-3p expression was decreased and negatively correlated with kidney injury biomarkers in septic AKI patients. MiR-22-3p expression was a risk factor for AKI onset and had diagnostic accuracy in septic AKI patients. The expression of both serum and urinary miR-22-3p was lower in patients who died, and served as a prognostic biomarker to predict 28-day survival in septic AKI patients. Conclusion Serum and urinary miR-22-3p was reduced in sepsis-induced AKI patients, and served as a biomarker to predict AKI occurrence and 28-day survival in sepsis patients.
ISSN:0301-1623
1573-2584
DOI:10.1007/s11255-021-02784-z