Impact of Retrograde Intrarenal Surgery on Biomarkers That Are Associated with Renal Parenchyma Injury, a Preliminary Study

Overview

Journal World J Urol

Specialty Urology

Date 2022 Jan 23

PMID 35066638

Authors

Lara Stachele

Daniel J Stekhoven

Jan A Birzele

Martin Risch

Rato T Strebel

Affiliations

Soon will be listed here.

Abstract

Purpose: The primary objective of this preliminary study was to assess the changes in concentration of biomarkers, which indicate renal injury, after RIRS.

Materials And Methods: Within this prospective study, we included 21 patients with nephrolithiasis requiring treatment with RIRS. From each patient, blood and urine samples were taken at fixed intervals before and after RIRS. Kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein 1 (MCP-1), neutrophil gelatinase-associated lipocalin (NGAL), interleukin-18 (IL-18), calbindin, albumin, clusterin, gluthation S-transferase-π (GST-π), beta-2-microglobulin (B2M), osteopontin, cystatin c, and trefoil-factor-3 (TFF3) were measured in urine. Creatinine, cystatin c and uric acid were analyzed in the blood samples.

Results: A significant increase of the biomarkers clusterin, GST-π, B2M, NGAL and cystatin c was observed after RIRS. However, the biomarkers gradually normalized during the first 14 postoperative days. The parameters surgery time, cumulative stone volume, and BMI did not significantly influence the biomarker concentrations. In the case of GST-π and NGAL a significant positive, yet minuscule effect of age was observed.

Conclusions: With our study, we identified 5 out of 12 assessed renal injury biomarkers that showed a significant increase after RIRS. The increase was only temporary and all markers normalized within 14 days. Further studies are needed to determine the clinical value of these identified markers to assess the long-term impact of intrarenal pressure elevation during RIRS.

Citing Articles

Characterizing Chemokine Signaling Pathways and Hub Genes in Calcium Oxalate-Induced Kidney Stone Formation: Insights from Rodent Models.

Wang B, Tan Z, She W, Wang X, Guan X, Tao Z Biochem Genet. 2025; .

PMID: 39893356 DOI: 10.1007/s10528-025-11036-z.

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