| Literature DB >> 35616594 |
Matthias Wolfgang Heinzl, Michael Resl, Carmen Klammer, Paul Fellinger1, Lukas Schinagl2, Florian Obendorf2, Roland Feldbauer2, Johannes Pohlhammer2, Thomas Wagner2, Margot Egger3, Benjamin Dieplinger3, Martin Clodi.
Abstract
ABSTRACT: Background: Current means of diagnosis of acute kidney injury (AKI) based on serum creatinine have poor sensitivity and may miss possible therapeutic windows in subclinical kidney injury, especially in septic AKI. Kidney injury molecule-1 (KIM-1) may be a valuable biomarker to improve diagnostic algorithms for AKI. The understanding of septic AKI is still insufficient, and knowledge about KIM-1 kinetics in inflammation is scarce. The aim of this study was to investigate the possible effect of lipopolysaccharide (LPS) on KIM-1 as a marker of structural kidney injury in healthy volunteers.Entities:
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Year: 2022 PMID: 35616594 PMCID: PMC9415208 DOI: 10.1097/SHK.0000000000001942
Source DB: PubMed Journal: Shock ISSN: 1073-2322 Impact factor: 3.533
Fig. 1Serum KIM-1 levels after administration of placebo and LPS. Statistical analysis using RM-ANOVA revealed a significant difference (P < 0.001) with sKIM-1 concentrations rising from 6 hours after LPS administration. In secondary analysis, paired t tests revealed significant differences at 24 hours (P = 0.011) and 48 hours (P = 0.016). Of note, the NPX format is an arbitrary log2 unit; thus, the depicted values do not reflect actual concentrations. For better graphical depiction, the log2-logarithmic NPX values were transformed into linear scale by calculating 2(respective NPX value). Statistical analysis was performed using the original NPX values.
Fig. 2Area under the curve of serum KIM-1 levels after administration of LPS and placebo. Statistical analysis using AUCs calculation with the trapezoidal method over the observation period of 48 hours showed significantly higher AUC for serum KIM-1 after LPS compared with placebo (median difference, 64,789 NPX2 × min; **P = 0.0039).
Fig. 3Serum creatinine concentrations after administration of placebo and LPS. Statistical analysis using RM-ANOVA revealed a significant difference (P = 0.013) over 48 hours. In secondary analysis, serum creatinine concentrations showed significantly elevated at 60 minutes (*P = 0.024) and 120 minutes (*P = 0.013) in comparison with placebo using paired t test. There was no significant difference at baseline (P = 0.282). The decrease of serum creatinine after placebo infusion may be due to the fasting state of subjects at the beginning of the study day.
Fig. 4Area under the curve of serum creatinine after administration of LPS and placebo. Statistical analysis using AUCs calculation with the trapezoidal method over 6 hours after infusion showed significantly higher AUC for serum creatinine after LPS compared with placebo (median difference, 10.40 mg/dL × min; *P = 0.0273).
Correlations between levels of sKIM-1 and markers of inflammation as well as serum creatinine
| Serum creatinine — maximum after LPS | IL-6 at baseline | Peak IL-6 (180 min after LPS) | Peak CRP (24 h after LPS) | ||
|---|---|---|---|---|---|
| KIM-1 at baseline | Pearson coefficient of correlation | −0.358 | 0.136 | 0.269 | 0.301 |
|
| 0.310 | 0.709 | 0.453 | 0.399 | |
| KIM-1 — 24 h after LPS | Pearson coefficient of correlation | −0.340 | 0.222 | 0.397 | 0.435 |
|
| 0.337 | 0.538 | 0.256 | 0.209 | |
| KIM-1 — 48 h after LPS | Pearson coefficient of correlation | −0.305 | 0.182 | 0.341 | 0.411 |
|
| 0.391 | 0.615 | 0.334 | 0.239 |
There was no significant correlation between sKIM-1 levels and CRP or IL-6 as markers of inflammation at any time point. Furthermore, there was no correlation between KIM-1 levels at any time point and the maximum concentration of serum creatinine.