Evidence map›Paper›PMID 40308556›Full record

ArticleKidney diseases (Basel, Switzerland)

Metabolic Insights into Urinary Stone Formation: Evidence from Mendelian Randomization, Clinical, and in vivo Studies.

Lintao Miao, Jiacheng Xiang, Yuanyuan Yang, Senyuan Hong, Jianxuan Sun, Sihan Zhang, Yuan Gong, Qidong Xia, Shaogang Wang

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Lintao MiaoDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiacheng XiangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuanyuan YangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Senyuan HongDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianxuan SunDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Sihan ZhangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuan GongDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qidong XiaDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shaogang WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The global rise in urinary stone prevalence has become a significant health and economic challenge. Linked to metabolic disorders such as obesity and diabetes, urinary stones represent a complex systemic condition that requires a comprehensive understanding of metabolic profiles for effective management. Methods: The methodological quality of this study was evaluated in accordance with the STROBE-MR checklist. Using genome-wide association study (GWAS) data for 1,091 blood and 1,172 urine metabolites, we conducted a two-sample Mendelian randomization (MR) analysis, validated by meta-analysis, to explore metabolic influences on stone formation. Multivariable and mediation MR analyses were performed to identify independent metabolite influences and their interaction with gut microbiota and metabolism-related genes. Clinical metabolomic analysis and further animal experiments substantiated our findings. Results: Univariable MR identified 119 blood and 63 urine metabolites associated with urinary stones, with 16 blood and 2 urine metabolites showing robust associations post-correction. Notably, mannose and 3-aminoisobutyrate emerged as independent influencers of stone formation. Mediation MR suggested these metabolites as potential mediators in the gut microbiota's influence on stone formation. Clinical urine sample analysis indicates higher mannose levels in normal renal sides than stone sides. Animal studies confirmed mannose's protective role by reducing renal calcium oxalate crystal deposition. Conclusion: Our study establishes causal links between specific metabolites and urinary stones, shedding light on the intricate biological mechanisms of stone formation. The discovery of mannose as a protective factor opens avenues for future research and clinical applications, offering promising directions for the prevention and treatment of stones.

Indexed as

Gut microbiotaMannoseMendelian randomizationMetabolomicsUrinary stonesUrolithiasis

Identifiers

PMID40308556
PMCPMC12043282

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.