ArticleDisease markers2020
A Specific Urinary Amino Acid Profile Characterizes People with Kidney Stones.
Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Promoting Effects of Urinary Proteins from Stone Formers and Influence of Their Physicochemical Properties on Calcium Oxalate Kidney Stone Formation.Computational and structural biotechnology journal · 2026Article
- 2bRAD-M Reveals the Characteristics of Urinary Microbiota in Overweight Patients with Urinary Tract Stones.Biomedicines · 2025Article
- A New Perspective on Gas Chromatography-Mass Spectrometry Urinary Metabolomic Analysis and Efficient Risk Assessment of Urolithiasis: Morning Urine Organic Acid Profiles.Kidney & blood pressure research · 2025Article
- Serum metabolomics study reveals a distinct metabolic diagnostic model for renal calculi.Heliyon · 2024Article
- Normative Data on Serum and Plasma Tryptophan and Kynurenine Concentrations from 8089 Individuals Across 120 Studies: A Systematic Review and Meta-Analysis.International journal of tryptophan research : IJTR · 2023Article
- A Metabolic Signature of Hereditary Transthyretin Amyloidosis: A Pilot Study.International journal of molecular sciences · 2022Article
- Methods for the dietary assessment of adult kidney stone formers: a scoping review.Journal of nephrology · 2022Article
- Clinical physiology of the kidney, electrolytes and lithiasis. The "old" meets the "new".Journal of nephrology · 2021Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUrolithiasis is the process of stone formation in the urinary tract. Its etiology is only partly known, and efficient therapeutic approaches are currently lacking. Metabolomics is increasingly used in biomarkers discovery for its ability to identify mediators of relevant (patho)physiological processes. Amino acids may be involved in kidney stone formation. The aim of the present study was to investigate the presence of an amino acid signature in stone former urine through a targeted metabolomic approach.
methodsA panel of 35 amino acids and derivatives was assessed in urines from 15 stone former patients and 12 healthy subjects by UPLC-MS. Partial Least Squares Discriminant Analysis (PLS-DA) was used to define amino acid profiles of cases and controls.
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