SynthesisFrontiers in endocrinology2023
Lifestyle factors, serum parameters, metabolic comorbidities, and the risk of kidney stones: a Mendelian randomization study.
Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- A holistic guide to effective prevention and treatment for kidney stones: a systematic review exploring anti-urolithiasis approaches.Naunyn-Schmiedeberg's archives of pharmacology · 2026Pooled it
- The Genetic Associations Between Kidney Stones, Obesity, Type 2 Diabetes, and Hypertension.Mayo Clinic proceedings · 2025Pooled it
- ZJU index and the prevalence of kidney stones in US adults: evidence from NHANES 2007-2018.BMC urology · 2026Article
- Accelerometer-derived "weekend warrior" physical activity pattern and all-cause mortality in individuals with kidney stones: a prospective cohort study.Frontiers in nutrition · 2026Article
- When Stones Begin: Age of Onset Reveals the Systemic Metabolic Nature of Nephrolithiasis.Research and reports in urology · 2026Article
- Long-term mortality risk in US adults with a history of kidney stones: results from NHANES III with over 30 years of follow-up.International urology and nephrology · 2025Observational
- Multiomics Mendelian randomization integrating pQTL, eQTL and mQTL data revealed BTN3A2 as a potential drug target for nephrolithiasis.Scientific reports · 2025Article
- Association of accelerated biological aging with kidney stone: Insights from the U.S. National health and nutrition examination survey.Preventive medicine reports · 2025Article
- A study on the relationship between the weight-adjusted waist index and kidney stone prevalence mediated by diabetes: data from NHANES 2007-2018.Scientific reports · 2025Article
- Sex-specific Mendelian randomization phenome-wide association study of basal metabolic rate.Scientific reports · 2025Article
- Effect of the plasma metabolites, biomarkers, and inflammatory proteins on urolithiasis: insights from Mendelian randomization and mediation analysis.Urolithiasis · 2025Article
- Distribution characteristics of staghorn calculi bacteria and metabolic differences in patients of different genders.World journal of urology · 2025Article
- GOLPH3 promotes calcium oxalate-induced renal injury and fibrosis through Golgi stress-mediated apoptosis and inflammatory responses.Scientific reports · 2025Article
- Article
- RISK FACTORS FOR RENAL CALCULI IN PATIENTS WITH CROHN'S DISEASE.Arquivos de gastroenterologia · 2025Article
- Age-stratified analysis of the BMI-kidney stone relationship: findings from a national cross-sectional study.Frontiers in medicine · 2025Article
- Association Between the CALLY Index and Kidney Stones: Insights From NHANES 2007-2010.Mediators of inflammation · 2025Article
- Association Between Nephrolithiasis and the Prevalence of Sarcopenia in Chinese Older Adults: A Cross-Sectional Study Using Propensity Score Matching.Clinical interventions in aging · 2025Article
- Helicobacter Pylori Infection as an Independent Risk Factor for Kidney Stone Formation in China: A Cross-Sectional Study.Infection and drug resistance · 2025Article
- Comprehensive biomarker profiling reveals distinct molecular signatures across stone types: a large-scale cross-sectional study in Southern China.Frontiers in physiology · 2025Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objective: The early identification of modifiable risk factors is important for preventing kidney stones but determining causal associations can be difficult with epidemiological data. We aimed to genetically assess the causality between modifiable factors (lifestyle factors, serum parameters, and metabolic comorbidities) and the risk of kidney stones. Additionally, we aimed to explore the causal impact of education on kidney stones and its potential mediating pathways. Methods: We conducted a two-sample Mendelian randomization (MR) study to explore the causal association between 44 modifiable risk factors and kidney stones. The FinnGen dataset initially explored the causal relationship of risk factors with kidney stones and the UK Biobank dataset was used as the validation set. Then, a meta-analysis was conducted by combining discovery and validation datasets. We used two-step MR to assess potential mediators and their mediation proportions between education and kidney stones. Results: The combined results indicated that previous exposures may increase the risk of kidney stones, including sedentary behavior, urinary sodium, the urinary sodium/potassium ratio, the urinary sodium/creatinine ratio, serum calcium, 25-hydroxyvitamin D (25OHD), the estimated creatinine-based glomerular filtration rate (eGFRcrea), GFR estimated by serum cystatin C (eGFRcys), body mass index (BMI), waist circumference, type 2 diabetes mellitus (T2DM), fasting insulin, glycated hemoglobin, and hypertension. Coffee intake, plasma caffeine levels, educational attainment, and the urinary potassium/creatinine ratio may decrease the risk of kidney stones. Ranked by mediation proportion, the effect of education on the risk of kidney stones was mediated by five modifiable risk factors, including sedentary behavior (mediation proportion, 25.7%), smoking initiation (10.2%), BMI (8.2%), T2DM (5.8%), and waist circumference (3.2%). Conclusion: This study provides MR evidence supporting causal associations of many modifiable risk factors with kidney stones. Sedentary lifestyles, obesity, smoking, and T2DM are mediating factors in the causal relationship between educational attainment and kidney stones. Our results suggest more attention should be paid to these modifiable factors to prevent kidney stones.
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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.