Evidence map›Paper›PMID 37441444›Full record

ArticleAmerican journal of clinical and experimental urology2023

Comparative proteomic profiling of uric acid, ammonium acid urate, and calcium-based kidney stones.

Johnathan A Khusid, Alex Vasquez, Areeba S Sadiq, Jennifer A Stockert, Blair Gallante, Alan Yaghoubian, Roman Shimonov, Aryeh Stock, William Atallah, Natasha Kyprianou and 2 more

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Johnathan A KhusidIcahn School of Medicine at Mount Sinai New York, NY, USA.
Alex VasquezCedars-Sinai Medical Center Los Angeles, CA, USA.
Areeba S SadiqNYU Langone Hospital Long Island Mineola, NY, USA.
Jennifer A StockertHofstra University Mineola, NY, USA.
Blair GallanteIcahn School of Medicine at Mount Sinai New York, NY, USA.
Alan YaghoubianIcahn School of Medicine at Mount Sinai New York, NY, USA.
Roman ShimonovThe City University of New York, Hunter College New York, NY, USA.
Aryeh StockIcahn School of Medicine at Mount Sinai New York, NY, USA.
William AtallahIcahn School of Medicine at Mount Sinai New York, NY, USA.
Natasha KyprianouIcahn School of Medicine at Mount Sinai New York, NY, USA.
Wei YangCedars-Sinai Medical Center Los Angeles, CA, USA.
Mantu GuptaIcahn School of Medicine at Mount Sinai New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USCedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ammonium acid uratecalcium oxalateNephrolithiasisproteinsproteomicsuric acid

Identifiers

PMID37441444
PMCPMC10333134
OpenAlexW4384277296

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.