Effects of multiple fluid intake on Urolithiasis by mendelian randomization study
Urolithiasis, a common and recurrent condition, imposes a significant global health burden. This study investigates the causal relationship between various types of fluid intake and urolithiasis using univariable and multivariable Mendelian randomization (MR) approaches. Genetic data for urolithiasis were obtained from the FinnGen Consortium (n = 400,681), while genetic measures for nine fluid types were sourced from meta-analyses of genome-wide association studies (GWAS). The analysis revealed that genetically predicted coffee intake (OR: 0.571, 95% confidence interval (CI): 0.341-0.958, p = 0.034) and ground coffee intake (OR: 0.219, 95% CI: 0.005-0.923, p = 0.038) were protective factors for upper urinary calculi. Additionally, a standard deviation (SD) increase in tea intake was associated with a 53% reduction in risk (OR: 0.473, 95% CI: 0.320-0.700, p < 0.001). Conversely, milk intake (OR: 1.072, 95% CI: 1.018-1.130) and alcohol intakefrequency (OR: 1.304, 95% CI: 1.083-1.570, p = 0.005) increased the risk of upper urinary calculi. These findings highlight the association of tea with reduced risk of urolithiasis, instead for milk and alcohol intake, in formulating prevention strategies for urolithiasis.
Authors
- Qian Zhang (ORCID: https://orcid.org/0000-0002-8793-0520)
- Yi Li (ORCID: https://orcid.org/0000-0002-2092-4505)
- Hang Liu (ORCID: https://orcid.org/0000-0001-9287-9996)
- Zedan Guo
- Jinyuan Zhang (ORCID: https://orcid.org/0009-0001-6648-8913)
Institutions
- Shantou University (CN)
- Shantou University Medical College (CN)
- Peking University Shenzhen Hospital (CN)
- Shenzhen University Health Science Center (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1038/s41598-024-73891-x
- Citations
- 4
- Primary Topic
- Kidney Stones and Urolithiasis Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- National Natural Science Foundation of China
- Peking University
- National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
- Shenzhen Science and Technology Innovation Program