ArticleAmerican journal of clinical and experimental urology2023
Comparative proteomic profiling of uric acid, ammonium acid urate, and calcium-based kidney stones.
Article in American journal of clinical and experimental urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 3 citations in OpenAlex.
- Unveiling potential natural promoters of calcium oxalate kidney stones in the urine via anion-exchange chromatography, crystal assays, and proteomics.Molecular and cellular biochemistry · 2026Article
- Multiomics Mendelian randomization integrating pQTL, eQTL and mQTL data revealed BTN3A2 as a potential drug target for nephrolithiasis.Scientific reports · 2025Article
- Identifying therapeutic targets for kidney stone disease through proteome-wide Mendelian randomization and colocalization analysis.Urolithiasis · 2024Article
- Self-control study of multi-omics in identification of microenvironment characteristics in urine of uric acid stone.Scientific reports · 2024Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
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Abstract
introductionKidney stone matrix proteins may help explain cellular mechanisms of stone genesis. However, most existing proteomic studies have focused on calcium oxalate stones. Here, we present a comparative proteomic analysis of different kidney stone types.
methodsProteins were extracted from the stones of patients undergoing percutaneous nephrolithotomy (PCNL). Approximately 20 μg of protein was digested into tryptic peptides using filter aided sample preparation, followed by liquid chromatography tandem-mass-spectrometry using an EASY-nLC 1200 and Orbitrap Fusion Lumos mass spectrometer. A standard false discovery rate cutoff of 1% was used for protein identification. Stone analysis was used to organize stone samples into similar groups. We selected the top 5% of proteins based on total ion intensities and used DAVID and Ingenuity Pathway Analysis to identify and compare significantly enriched gene ontologies and pathways between groups.
resultsSix specimens were included and organized into the following four groups: 1) mixed uric acid (UA) and calcium-based, 2) pure UA, 3) pure ammonium acid urate (AAU), and 4) pure calcium-based. We identified 2,426 unique proteins (1,310-1,699 per sample), with 11-16 significantly enriched KEGG pathways identified per group and compared via heatmap. Based on number of unique proteins identified, this is the deepest proteomic study of kidney stones to date and the first such study of an AAU stone.
conclusionsThe results indicate that mixed UA and calcium-based kidney stones are more similar to pure UA stones than pure calcium-based stones. AAU stones appear more similar to pure calcium-based stones than UA containing stones and may be related to parasitic infections. Further research with larger cohorts and histopathologic correlation is warranted.
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37441444PMC10333134W4384277296What OpenQuestion holds
Registered trials
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