Evidence map›Paper›PMID 40128055›Full record

ArticleMedicine2025

Identification of the relationship between 1400 blood metabolites and urolithiasis: A bidirectional Mendelian randomization study.

Haoyang Zhang, Haojie Mo, Peng Li, Qi Zhou, Gang Shen, Jiale Sun

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Haoyang ZhangDepartment of Urology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0001-5464-925
Haojie MoDepartment of Urology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Peng LiDepartment of Urology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Qi ZhouDepartment of Reproductive Medicine Center, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Gang ShenDepartment of Urology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jiale SunDepartment of Urology, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-8040-6267

Funding

Collaborative innovation research on the combination of medicine and engineering SZM2023016Jiangsu Industry University Research Cooperation Project BY2022855Open project of the State Key Laboratory of Radiation Medicine and Protection GZK1202304Suzhou Industrial Park clinical medical expert team introduction project 0202140004
6 · The paper itself

Abstract

Relationships between blood metabolites and urolithiasis have been identified in few previous observational studies, and causality remains uncertain. We tried to examine whether blood metabolites were causally associated with upper and lower urinary stones in this bidirectional Mendelian randomization (MR) study. The causal relationship between 1400 blood metabolites and upper and lower urinary stones was investigated using genome-wide association study data. The primary analysis for causality analysis was the inverse variance weighted method, with 4 other methods used as complementary analyses. Intersection was then conducted to show the shared metabolites between upper and lower urinary tract stones, followed by the MR-Egger intercept test, Cochran Q test, leave-one-out analysis, MR-PRESSO and the linkage disequilibrium score regressions. The metabolic pathway analysis was conducted to identify potential metabolic pathways. Lastly, reverse MR analyses were also performed. We identified 15 metabolites as potential causal predictors of urinary stones in forward MR analyses. These metabolites consisted of 1 azole, 2 carbohydrates, 6 lipids, 1 nucleotide, 1 peptide, 1 urea, and 3 metabolites with unknown chemical properties. Additionally, urinary stones were found to be significantly associated with some of the above metabolites in reverse MR analyses. Metabolic pathway analysis identified several pathways that may be implicated in the development of urolithiasis. This MR study has established a causal relationship between 12 blood metabolites and the risk of upper and lower urinary tract stones. The identification of these blood metabolites provides valuable insights into early screening, prevention, and treatment of urolithiasis.

Indexed as

UrolithiasisFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMetabolic Networks and Pathways

Identifiers

PMID40128055
PMCPMC11936622

What Socratic holds

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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 Socratic graph.