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Liquid Biopsies Poorly miRror Renal Ischemia-Reperfusion Injury

  • Adaysha C. Williams
    ,
  • Vaishali Singh
    ,
  • Pengyuan Liu
    ,
  • Alison J. Kriegel(corresponding author)
*Corresponding author for this work
  • Medical College of Wisconsin
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

24

Journal (Volume, Issue Number)

Non-coding RNA (Volume 9, Issue 2)

Publication milestones

  • Published - 04/2023

Publication status

Published - 04/2023

Publication IDs

  • Scopus: 85153625812