Evidence map›Paper›PMID 38172428›Full record

ArticleWorld journal of urology2024

Differential oral and gut microbial structure related to systemic metabolism in kidney stone patients.

Zi-Jie Xu, Lei Chen, Qi-Lin Tang, Deng Li, Chu-Jiang He, Chao-Liang Xu, Fei-Teng Chen, Yi Shao

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In one paragraph

Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 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

8 authors at 2 institutions in 1 country.

Zi-Jie Xu *Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Lei Chen *Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Qi-Lin Tang *Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Deng LiDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Chu-Jiang HeDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Chao-Liang XuDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Fei-Teng ChenDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China.
Yi ShaoDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No.100, Haining Road, Hongkou District, Shanghai, 200080, China. drshaoyi@163.com.ORCID http://orcid.org/0000-0002-5842-3167
Shanghai Jiao Tong University · CNShanghai University of Medicine and Health Sciences · CN

Funding

Science and Technology Commission of Songjiang District 18sjkjgg13Scientifc and Technological Innovative Action Plan from Science and Technology Commission of Shanghai Municipality No.20Y11904600Scientifc and Technological Innovative Action Plan from Science and Technology Commission of Shanghai Municipality No.23141902100Shanghai Municipal Hospital Urology Specialist Alliance SHDC22021314-AShanghai Municipal Hospital Urology Specialist Alliance SHDC22021314-BShanghai Pujiang Program 2020PJD046
6 · The paper itself

Abstract

objectivesTo investigate the role of the oral and gut microbiome related to systemic metabolism and clinical parameters in various types of kidney stone disease. PATIENTS AND

methodsWe conducted a case-control study by analyzing 16S rRNA and untargeted metabolomics profiling of 76 fecal, 68 saliva, 73 urine, and 43 serum samples from 76 participants aged 18-75 years old. The participants included 15 patients with uric acid stones, 41 patients with calcium oxalate stones, and 20 healthy controls. Correlations among microbiome, metabolism, and clinical parameters were identified through Spearman's correlation analysis. (Clinical trial No. ChiCTR2200055316).

resultsPatients with uric acid stones exhibited reduced richness and diversity in their microbiome, as well as altered composition in both oral and gut microbiome. Furthermore, their fecal samples showed lower relative abundances of Bacteroides and Lachnospiraceae, while their saliva samples showed higher relative abundances of Porphyromonas and Neisseria. Predicted KEGG metabolism pathways, including amino acid and fatty acid metabolisms, were significantly altered in subjects with uric acid stones. Oral, gut microbiota, and metabolism were also associated with low water intake and urine pH. The area under the curve (AUC) of the specific microbiota and metabolite prediction models was over 0.85.

conclusionThe structure and composition of the oral and gut microbiome in different types of kidney stone disease, the correlations between oral and gut microbiome, and the associations among oral and gut microbiota, systemic metabolism and clinical parameters imply an important role that the oral and gut microbiome may play in kidney stone disease.

Indexed as

Gastrointestinal MicrobiomeKidney CalculiAdolescentAdultAgedCase-Control StudiesHumansMiddle AgedRNA, Ribosomal, 16SUric AcidYoung AdultRNA, Ribosomal, 16SUric Acid16S rRNAOral and gut microbiotaRenal uric acid stoneUntargeted metabolomics

Identifiers

PMID38172428
OpenAlexW4390570838

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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.