ArticleMetabolomics : Official journal of the Metabolomic Society2022
A multiple-metabolites model to predict preliminary renal injury induced by iodixanol based on UHPLC/Q-Orbitrap-MS and
Article in Metabolomics : Official journal of the Metabolomic Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Dynamic Metabolic Changes Driven by Exercise Intensity in Acute Swimming.Medicine and science in sports and exercise · 2025Trial
- Acute kidney injury through a metabolic lens: pathological reprogramming mechanisms and clinical translation potential.Frontiers in physiology · 2025Review
- New approaches to acute kidney injury.Clinical kidney journal · 2024Article
- NMR-based metabolomic analysis of plasma from elderly patients with CVD before and after using contrast media.Heliyon · 2024Article
- CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023Review
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Authors and funding
9 authors at 3 institutions in 1 country.
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Abstract
BACKGROUND &
aimsThere are some problems, such as unclear pathological mechanism, delayed diagnosis, and inaccurate therapeutic target of Contrast-induced acute kidney injury (CI-AKI). It is significantly important to find biomarkers and therapeutic targets that can indicate renal injury in the early stage of CI-AKI. This study aims to establish a multiple-metabolites model to predict preliminary renal injury induced by iodixanol and explore its pathogenesis.
methodsBoth UHPLC/Q-Orbitrap-MS and
resultsIn the discovery cohort (n = 169), 6 metabolic markers (leucine, indole, 5-hydroxy-L-tryptophan, N-acetylvaline, hydroxyhexanoycarnine, and kynurenic acid) were obtained by the cross-validation between the RF and liquid chromatography-mass spectrometry (LC-MS). Secondly, the 6 differential metabolites were confirmed by comparison of standard substance and structural identification of
conclusionsThe concentrations of leucine, indole, N-acetylvaline, 5-hydroxy-L-tryptophan, hydroxyhexanoycarnitine and kynurenic acid in urine were proven to be positively correlated with the degree of renal injury induced by iodixanol. The multiple-metabolites model based on these 6 biomarkers has a good predictive ability to predict early renal injury caused by iodixanol, provides treatment direction for injury intervention and a reference for reducing the incidence of clinical CI-AKI further.
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