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Liquid Biopsies Poorly miRror Renal Ischemia-Reperfusion Injury.
Williams, Adaysha C; Singh, Vaishali; Liu, Pengyuan; Kriegel, Alison J.
Afiliação
  • Williams AC; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
  • Singh V; Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
  • Liu P; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
  • Kriegel AJ; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Noncoding RNA ; 9(2)2023 Apr 01.
Article em En | MEDLINE | ID: mdl-37104006
ABSTRACT
Acute kidney injury (AKI) is the rapid reduction in renal function. It is often difficult to detect at an early stage. Biofluid microRNAs (miRs) have been proposed as novel biomarkers due to their regulatory role in renal pathophysiology. The goal of this study was to determine the overlap in AKI miRNA profiles in the renal cortex, urine, and plasma samples collected from a rat model of ischemia-reperfusion (IR)-induced AKI. Bilateral renal ischemia was induced by clamping the renal pedicles for 30 min, followed by reperfusion. Urine was then collected over 24 h, followed by terminal blood and tissue collection for small RNA profiling. Differentially expressed (IR vs. sham) miRs within the urine and renal cortex sample types demonstrated a strong correlation in normalized abundance regardless of injury (IR and sham R2 = 0.8710 and 0.9716, respectively). Relatively few miRs were differentially expressed in multiple samples. Further, there were no differentially expressed miRs with clinically relevant sequence conservation common between renal cortex and urine samples. This project highlights the need for a comprehensive analysis of potential miR biomarkers, including analysis of pathological tissues and biofluids, with the goal of identifying the cellular origin of altered miRs. Analysis at earlier timepoints is needed to further evaluate clinical potential.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Noncoding RNA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Noncoding RNA Ano de publicação: 2023 Tipo de documento: Article