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. 2022 Jul 8:2022:5165892.
doi: 10.1155/2022/5165892. eCollection 2022.

Evaluation Value of Serum miR-4299 and miR-16-5p in Risk Stratification of Sepsis-Induced Acute Kidney Injury

Weiwei Pan  1 , Junfeng Zhang  1 , Luqi Hu  1 , Zhiping Huang  1
Affiliations

Evaluation Value of Serum miR-4299 and miR-16-5p in Risk Stratification of Sepsis-Induced Acute Kidney Injury

Weiwei Pan et al. Biomed Res Int. .

Retraction in

Abstract

Objective: This study was designed to determine the evaluation value of serum miR-4299 and miR-16-5p in risk stratification of sepsis-induced acute kidney injury (SI-AKI).

Methods: A total of 115 sepsis patients were enrolled and assigned to the SI-AKI group (n = 64) or the sepsis-non-AKI group (n = 51) based on the occurrence of AKI, and 72 healthy individuals were enrolled. Fasting venous blood was sampled from every patient before admission, before therapy, and after therapy, followed by quantification of miR-4299 and miR-16-5p by fluorescence quantitative PCR. Receiver operating characteristic (ROC) curves were drawn to evaluate the value of serum miR-16-5p and miR-4299 expression in predicting SI-AKI, and Pearson's correlation analysis was performed to explore the associations of the two with Scr, Cys-C, and KIM-1.

Results: Cases with sepsis, especially SI-AKI, presented significantly downregulated serum miR-4299 and miR-16-5p. After therapy, the expression in them increased. The area under curve (AUC) of serum miR-4299 and miR-16-5p in the prediction value for early diagnosis of SI-AKI was 0.895 (95% CI: 0.839-0.951, cutoff value: 0.780) and 0.838 (95% CI: 0.767-0.909, cutoff value: 0.775), respectively, and the AUC of them in the prediction value for clinical efficacy on the disease were 0.733 (95% CI: 0.645-0.820, cutoff value: 1.115) and 0.776 (95% CI: 0.698-0.855, cutoff value: 1.125), respectively. Serum miR-16-5p and mIR-4299 were negatively correlated with Scr, Cys-C, and KIM-1, separately.

Conclusion: Both miR-16-5p and mIR-4299 are promising factors for early diagnosis of SI-AKI and dynamic evaluation of the efficacy on it.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
The expressions of miR-4299 and miR-16-5p in sepsis (independent t-test was used for the comparison between two groups). (a) The difference of serum miR-4299 expression between sepsis patients and healthy individuals. (b) The difference of serum miR-4299 expression between SI-AKI patients and sepsis-non-AKI patients. (c) The difference of serum miR-16-5p expression between sepsis patients and healthy individuals. (d) The difference of serum miR-16-5p expression between SI-AKI and sepsis-non-AKI patients.
Figure 2
Figure 2
Predictive value of serum miR-4299 and miR-16-5p in early screening of SI-AKI based on ROC curves. (a) ROC curve of serum miR-4299 in diagnosing early sepsis. (b) ROC curve of serum miR-16-5p in diagnosing early sepsis. (c) ROC curve of serum miR-4299 in diagnosing SI-AKI. (d) ROC curve of serum miR-16-5p in diagnosing SI-AKI.
Figure 3
Figure 3
Associations of serum miR-4299 and miR-16-5p with clinical pathology of SI-AKI based on Pearson correlation analysis. (a) Association of serum miR-4299 with Scr. (b) Association of serum miR-4299 with Cys-C. (c) Association of serum miR-4299 with KIM-1. (d) Association of serum miR-16-5p with Scr. (e) Association of serum miR-16-5p with Cys-C. (f) Association of serum miR-16-5p with KIM-1.
Figure 4
Figure 4
miR-4299 and miR-16-5p expression changes before and after therapy (the comparison between the two timepoints was processed by pair t test). (a) Changes of serum miR-4299 expression before and after therapy. (b) Change of serum miR-16-5p expression before and after therapy.
Figure 5
Figure 5
(a) ROC curve of serum miR-4299 before therapy in predicting the efficacy on SI-AKI. (b) ROC curve of serum miR-16-5p before therapy in predicting the efficacy on SI-AKI.
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