Evidence map›Paper›PMID 36596939›Full record

Observational studyUrolithiasis2023

The microbiome of kidney stones and urine of patients with nephrolithiasis.

Ursula Lemberger, Petra Pjevac, Bela Hausmann, David Berry, Daniel Moser, Victoria Jahrreis, Mehmet Özsoy, Shahrokh F Shariat, Julian Veser

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Urolithiasis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 3 institutions in 4 countries.

Ursula LembergerResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria. ursula.lemberger@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-2019-6111
Petra PjevacJoint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria.
Bela HausmannJoint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria.
David BerryJoint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria.
Daniel MoserResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria.
Victoria JahrreisResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria.
Mehmet ÖzsoyResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria.
Shahrokh F ShariatResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria.
Julian VeserResearch Laboratory, Department of Urology, Medical University of Vienna, Waeringerguertel 18-20, 1090, Vienna, Austria.
Medical University of Vienna · ATUniversity of Vienna · ATUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of nephrolithiasis is rising worldwide. Although it is a multifactorial disease, lifestyle plays a major role in its etiology. Another considerable factor could be an aberrant microbiome. In our observational single-center study, we aimed to investigate the composition of bacteria in kidney stones and urine focusing on patients with features of metabolic syndrome. Catheterized urine and kidney stones were collected prospectively from 100 consecutive patients undergoing endoscopic nephrolithotomy between 2020 and 2021 at our clinic. Microbiome composition was analyzed via 16S rRNA gene amplicon sequencing. Detection of bacteria was successful in 24% of the analyzed kidney stones. These patients had a prolonged length of stay compared to patients without verifiable bacteria in their stones (2.9 vs 1.5 days). Patients with features of metabolic syndrome were characterized by kidney stones colonized with classical gastrointestinal bacteria and displayed a significant enrichment of Enterococcaceae and Enterobacteriaceae. Stones of patients without features of metabolic syndrome characterized by Ureaplasma and Staphylococcaceae. Patients with bacteria in their kidney stones exhibit a longer length of stay, possibly due to more complex care. Patients presenting with features of metabolic syndrome displayed a distinct stone microbiome compared to metabolically fit patients. Understanding the role of bacteria in stone formation could enable targeted therapy, prevention of post-operative complications and new therapeutic strategies.

Indexed as

Kidney CalculiMetabolic SyndromeMicrobiotaNephrolithiasisBacteriaHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA gene amplicon sequencingKidney stonesMetabolic syndromeMicrobiomeNephrolithiasis

Identifiers

PMID36596939
PMCPMC9810570
OpenAlexW4313456840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.