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Mineral Metabolism and Polycystic Ovary Syndrome and Metabolic Risk Factors: A Mendelian Randomization Study

  • Reproductive Endocrinology: Original Article
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Abstract

Observational investigations recommend that mineral supplements were associated with a higher risk of polycystic ovary syndrome (PCOS) and its risk factors (insulin resistance, hyperandrogenism, and obesity), but the relationship with risk of PCOS, hyperandrogenism, obesity, and insulin resistance was unclear. This study was to investigate the potential causal impact of genetically predicted levels of magnesium (Mg), calcium (Ca), selenium (Se), zinc (Zn), iron (Fe), and omega-3 (ω-3) on polycystic ovary syndrome (PCOS) and its associated risk factors. A two-sample Mendelian randomization (MR) analysis was conducted. The genetic variations obtained from GWAS of individuals with European ancestry were found to be associated with the genetically predicted levels of Ca, Mg, Zn, Se, Fe, or ω-3. The data obtained from the FinnGen Consortium and MAGIC were utilized for the outcome of GWAS. The study found that there was a correlation between genetically predicted higher levels of Se and a reduced risk of insulin resistance, with a decrease of 2.2% according to random-effect IVW (OR 0.978, 95% CI 0.960–0.996, p = 0.015). The association between genetically determined mineral levels and PCOS was found to be limited, with an odds ratio (OR) ranging from 0.875 (95% CI: 0.637–1.202, p value = 0.411) for Ca. Limited scientific proof was found for the efficacy of other genetically determined mineral levels on hyperandrogenism, obesity, and insulin resistance. These findings suggested a causal relationship between genetically predicted higher levels of Se and a reduced risk of insulin resistance. Nonetheless, there is limited evidence supporting a causal association between various genetically determined mineral levels and the risk factors associated with PCOS.

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Data Availability

Data are available from the website (https://gwas.mrcieu.ac.uk/).

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Funding

It was supported by Huzhou Science and Technology Plan (2022GY27).

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Authors and Affiliations

  1. Department of Reproductive Medicine, Huzhou Maternity & Child Health Care Hospital, Huzhou, 313000, Zhejiang Province, China

    Jiayan Shen & Xiaoyun Wu

  2. Department of Obstetrics and Gynecology, Huzhou Maternity & Child Health Care Hospital, Huzhou, 313000, Zhejiang Province, China

    Li Xu

  3. Health Management Center, Department of Dermatology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, No. 158, Shangtang Road, Hangzhou, 310014, China

    Yang Ding

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  1. Jiayan Shen
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Correspondence to Xiaoyun Wu or Yang Ding.

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Shen, J., Xu, L., Wu, X. et al. Mineral Metabolism and Polycystic Ovary Syndrome and Metabolic Risk Factors: A Mendelian Randomization Study. Reprod. Sci. (2024). https://doi.org/10.1007/s43032-024-01476-0

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