Evidence map›Paper›PMID 35716870›Full record

ArticleUrology2022

Delineating the Role of the Urinary Metabolome in the Lithogenesis of Calcium-Based Kidney Stones.

Jose Agudelo, Donald Fedrigon, Anna Faris, Lamont Wilkins, Manoj Monga, Aaron W Miller

Open access · greenAbstract read
In one paragraph

Article in Urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Microbiota and kidney disease: the road ahead.Nature reviews. Nephrology · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
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

6 authors at 4 institutions in 1 country.

Jose AgudeloDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH.
Donald FedrigonDepartment of Urology, Emory University, Atlanta, GA.
Anna FarisDepartment of Urology, University of Michigan, Ann Arbor, MI.
Lamont WilkinsLerner College of Medicine, Cleveland Clinic, Cleveland, OH.
Manoj MongaDepartment of Urology, University of California San Diego, San Diego, CA.
Aaron W MillerDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH; Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH. Electronic address: millera25@ccf.org.
Cleveland Clinic Lerner College of Medicine · USEmory University · USUniversity of California, San Diego · USUniversity of Michigan–Ann Arbor · US

Funding

The role of acetogenic, methanogenic, and sulfate-reducing bacteria in oxalate metabolism and hyperoxaluriaR01DK121689 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI MILLER, AARON W · 2020 to 2024
$2.3M
NIDDK NIH HHS R01 DK121689
6 · The paper itself

Abstract

objectiveTo delineate the role of the urinary metabolome in the genesis of urinary stone disease (USD).

methodsUntargeted metabolomics was utilized in comparative analyses of calcium-based stones (CBS) and spot urine samples from patients with a history of USD with or without urinary stone activity based on radiologic imaging. Stone and urine metabolomes were stratified by composition and radiographic stone-activity, respectively. Additionally, we quantified highly abundant metabolites that were present in either calcium oxalate (CaOx) or calcium phosphate (CaPhos) stones and also significantly enriched in the urine of active stone formers (SF) compared to non-active SF. These data were used to delineate either a direct involvement of urinary metabolites in lithogenesis or the passive uptake of biomolecules within the stone matrix.

resultsUrinary metabolomes were distinct based on radiographic stone-activity and the 2 types of CBS. Stratification by radiologic stone activity was driven by the enrichment of 14 metabolites in the urine of active SF that were also highly abundant in both CaOx and CaPhos stones, indicative of a potential involvement of these metabolites in lithogenesis. Using the combination of these 14 metabolites in total, we generated a model that correctly classified patients as either active vs non-active SF in a prospectively recruited cohort with 73% success.

conclusionCollectively, our data suggest specific urinary metabolites directly contribute to the formation of urinary stones and that active SF may excrete higher levels of lithogenic metabolites than non-active patients. Future studies are needed to confirm these findings and establish the causative mechanisms associated with these metabolites.

Indexed as

Kidney CalculiUrinary CalculiUrolithiasisCalciumCalcium OxalateCalcium PhosphatesHumansMetabolomePhosphatesCalciumCalcium Oxalatecalcium phosphateCalcium PhosphatesPhosphates

Identifiers

PMID35716870
PMCPMC9513556
OpenAlexW4282963419

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.