Evidence map›Paper›PMID 39346645›Full record

ArticleFrontiers in nutrition2024

Mendelian randomization analyses explore the effects of micronutrients on different kidney diseases.

Chengdong Shi, Hongliang Cao, Guoqiang Zeng, Hao Wu, Yuantao Wang

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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Chengdong Shi *Department of Urology II, The First Hospital of Jilin University, Changchun, China.
Hongliang Cao *Department of Urology II, The First Hospital of Jilin University, Changchun, China.
Guoqiang ZengDepartment of Urology II, The First Hospital of Jilin University, Changchun, China.
Hao WuDepartment of Urology II, The First Hospital of Jilin University, Changchun, China.
Yuantao WangDepartment of Urology II, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of micronutrients, including vitamins and minerals, on different kidney diseases has been reported in some observational studies; however, their causal relationship remains uncertain. We aimed to ascertain the causal genetic relationships between micronutrients and different kidney diseases using the Mendelian randomization (MR) method. Methods: Instrumental variables (IVs) for genetically predicting calcium (Ca), iron (Ir), Zinc (Zn), selenium (Se), copper (Cu), vitamin D (Vit D), and vitamin C (Vit C) levels in humans were obtained, and a bidirectional two-sample MR was used to examine potential associations between the levels of these seven micronutrients and the risk of seven different kidney diseases including hypertensive renal disease, diabetic nephropathy, IgA nephropathy, membranous nephropathy, cystic nephropathy, chronic kidney disease (CKD), and chronic tubulo-interstitial nephritis. Five different MR analyses were conducted, with the main method being the inverse variance-weighted (IVW) method. Moreover, sensitivity analyses were performed to assess heterogeneity and potential pleiotropy. Results: The IVW method revealed that Ca levels were associated with a decreased risk of hypertensive renal disease (OR = 0.61, 95% CI: 0.40-0.93, Conclusion: Our results indicate a cause-and-effect connection between micronutrients and certain kidney diseases, but additional study is required to provide more conclusive evidence. This research has the potential to assist clinicians in managing the consumption of specific micronutrients among individuals with chronic kidney diseases, as well as in promoting disease prevention among both healthy populations and those who are susceptible to chronic underlying conditions.

Indexed as

causal effectgenome-wide association studieskidney diseasesMendelian randomizationmicronutrients

Identifiers

PMID39346645
PMCPMC11428537

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