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- Title
Causal Effect of Chondroitin, Glucosamine, Vitamin, and Mineral Intake on Kidney Function: A Mendelian Randomization Study.
- Authors
Cho, Jeong-Min; Koh, Jung-Hun; Kim, Seong-Geun; Lee, Soojin; Kim, Yaerim; Cho, Semin; Kim, Kwangsoo; Kim, Yong-Chul; Han, Seung-Seok; Lee, Hajeong; Lee, Jung-Pyo; Joo, Kwon-Wook; Lim, Chun-Soo; Kim, Yon-Su; Kim, Dong-Ki; Park, Sehoon
- Abstract
The causal effects of chondroitin, glucosamine, and vitamin/mineral supplement intake on kidney function remain unknown, despite being commonly used. We conducted a two-sample summary-level Mendelian randomization (MR) analysis to test for causal associations between regular dietary supplement intake and kidney function. Genetic instruments for chondroitin, glucosamine, and vitamin/mineral supplement intake were obtained from a genome-wide association study of European ancestry. Summary statistics for the log-transformed estimated glomerular filtration rate (log-eGFR) were provided by the CKDGen consortium. The multiplicative random-effects inverse-variance weighted method showed that genetically predicted chondroitin and glucosamine intake was causally associated with a lower eGFR (chondroitin, eGFR change beta = −0.113%, standard error (SE) = 0.03%, p-value = 2 × 10−4; glucosamine, eGFR change beta = −0.240%, SE = 0.035%, p-value = 6 × 10−12). However, a genetically predicted vitamin/mineral supplement intake was associated with a higher eGFR (eGFR change beta = 1.426%, SE = 0.136%, p-value = 1 × 10−25). Validation analyses and pleiotropy-robust MR results for chondroitin and vitamin/mineral supplement intake supported the main results. Our MR study suggests a potential causal effect of chondroitin and glucosamine intake on kidney function. Therefore, clinicians should carefully monitor their long-term effects.
- Subjects
KIDNEY physiology; GLUCOSAMINE; VITAMINS; GLOMERULAR filtration rate; FOOD consumption; HEALTH outcome assessment; CHONDROITIN; GENOME-wide association studies; DIETARY supplements; COMPARATIVE studies; DESCRIPTIVE statistics; RESEARCH funding; MINERALS; SENSITIVITY &; specificity (Statistics); CAUSAL models
- Publication
Nutrients, 2023, Vol 15, Issue 15, p3318
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15153318