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Systematic Review

A Systematic Review and Meta-Analysis of MicroRNA as Predictive Biomarkers of Acute Kidney Injury

Department of Cardiovascular Sciences and NIHR Cardiovascular Biomedical Research Unit, Glenfield Hospital, University of Leicester, Leicester LE3 9QP, UK
*
Author to whom correspondence should be addressed.
Biomedicines 2024, 12(8), 1695; https://doi.org/10.3390/biomedicines12081695
Submission received: 19 June 2024 / Revised: 23 July 2024 / Accepted: 28 July 2024 / Published: 30 July 2024

Abstract

Acute kidney injury (AKI) affects 10–15% of hospitalised patients and arises after severe infections, major surgeries, or exposure to nephrotoxic drugs. AKI diagnosis based on creatinine level changes lacks specificity and may be delayed. MicroRNAs are short non-coding RNA secreted by all cells. This review of studies measuring miRNAs in AKI aimed to verify miRNAs as diagnostic markers. The study included data from patients diagnosed with AKI due to sepsis, ischaemia, nephrotoxins, radiocontrast, shock, trauma, and cardiopulmonary bypass. Out of 71 studies, the majority focused on AKI in sepsis patients, followed by cardiac surgery patients, ICU patients, and individuals receiving nephrotoxic agents or experiencing ischaemia. Studies that used untargeted assays found 856 differentially regulated miRNAs, although none of these were confirmed by more than one study. Moreover, 68 studies measured miRNAs by qRT-PCR, and 2 studies reported downregulation of miR-495-3p and miR-370-3p in AKI patients with sepsis after the AKI diagnosis. In three studies, upregulation of miR-21 was reported at the time of the AKI diagnosis with a significant pooled effect of 0.56. MiR-21 was also measured 19–24 h after cardiac surgery in three studies. However, the pooled effect was not significant. Despite the considerable research into miRNA in AKI, there is a knowledge gap in their applicability as diagnostic markers of AKI in humans.
Keywords: microRNAs; acute kidney injury; biomarkers; surgical procedure; sepsis microRNAs; acute kidney injury; biomarkers; surgical procedure; sepsis

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MDPI and ACS Style

Brown, N.; Roman, M.; Miller, D.; Murphy, G.; Woźniak, M.J. A Systematic Review and Meta-Analysis of MicroRNA as Predictive Biomarkers of Acute Kidney Injury. Biomedicines 2024, 12, 1695. https://doi.org/10.3390/biomedicines12081695

AMA Style

Brown N, Roman M, Miller D, Murphy G, Woźniak MJ. A Systematic Review and Meta-Analysis of MicroRNA as Predictive Biomarkers of Acute Kidney Injury. Biomedicines. 2024; 12(8):1695. https://doi.org/10.3390/biomedicines12081695

Chicago/Turabian Style

Brown, Naomi, Marius Roman, Douglas Miller, Gavin Murphy, and Marcin J. Woźniak. 2024. "A Systematic Review and Meta-Analysis of MicroRNA as Predictive Biomarkers of Acute Kidney Injury" Biomedicines 12, no. 8: 1695. https://doi.org/10.3390/biomedicines12081695

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