Evidence map›Paper›PMID 40419402›Full record

Observational studyAsia Pacific journal of clinical nutrition2025

Genetic evidence of the causal relationship between serum micronutrients and Graves' disease: A Mendelian randomization and cross-sectional observational study.

Jun Zhang, Yi Lu, Hongxia Yang, Shuqiong Hu, Yunyun Zhou, Mengnan Jiang, Ranjie Zhu, Li Wu

Abstract readObservational Study
In one paragraph

Observational study in Asia Pacific journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jun Zhang *Department of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China.
Yi Lu *Department of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China.
Hongxia YangDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China.
Shuqiong HuDepartment of Ophthalmology, Jingzhou Hospital of Traditional Chinese Medicine, Hubei Province, China.
Yunyun ZhouDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China.
Mengnan JiangDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China.
Ranjie ZhuAier Eye Hospital of Wuhan University, Wuhan Aier eye hospital, Hubei Province, China.
Li WuDepartment of Ophthalmology, Renmin Hospital of Wuhan University, Hubei, China. Email: wl20221030@163.com.

Funding

Fundamental Research Funds for Central Universities 2042023kf0047Hubei Provincial Natural Science Foundation of China 2023AFB223National Natural Science Foundation of China 82301193
6 · The paper itself

Abstract

BACKGROUND AND

objectivesExploring the effects of circulating micronutrients on Graves' disease (GD) through observational research or randomized controlled trials has drawn more attention. In order to investigate the putative causal inference, we provide an illustrative estimate of two-sample Mendelian randomization (MR) study. METHODS AND STUDY

designInverse-variance weighted (IVW) method was employed as the primary approach to determine the causal relationships between micronutrients level and GD. Several complementary sensitivity analyses were also undertaken to evaluate the impact of potential violations of MR assumptions. In addition, we utilized cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) to analyze the differences in the prevalence of GD among participants with different levels of trace nutrient concentrations.

resultsIn terms of vitamins, IVW MR analysis revealed a suggestive relationship between each standard deviation decrease in vitamin D level and increased risk of GD (OR=1.28, 95% CI: 1.04-1.59, p = 0.0212). A nominally significant association was also noted for genetically predicted vitamin B-6 concentration and higher risk of GD (OR=1.56, 95% CI: 1.08-2.25, p = 0.0171). Genetically predicted concentrations of other vitamins level and 6 minerals levels were not in association with GD susceptibility. The causal estimates from other complementary MR approaches were consistent with these findings. Additionally, we found that participants from NHANES with vitamin D and vitamin B-6 deficiency had a higher prevalence of GD.

conclusionsOur study provides an obvious unidirectional causality of circulating vitamin B-6 and vitamin D with GD. Dietary supplementation with micronutrients may be a complement to classical therapies for preventing and treating GD.

Indexed as

Graves DiseaseMendelian Randomization AnalysisMicronutrientsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysVitamin DMicronutrientsVitamin Dcasual relationshipGraves’ diseasemendelian randomizationmicronutrientsingle nucleotide polymorphism

Identifiers

PMID40419402
PMCPMC12126289

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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 OpenQuestion graph.