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Background: Serum vitamin D deficiency is intricately linked to metabolic disorders, however, evidence on its association with continuous metabolic risk in children and adolescents remains insufficient. This study aims to elucidate the relationship between serum vitamin D levels and continuous metabolic risk.

Methods: The cross-sectional analysis involved 4490 participants aged 6 ~ 18, and the longitudinal investigation included 1398 individuals aged 6 ~ 12 years.

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Association between serum 25-hydroxyvitamin D concentrations and urinary vitamin D metabolite concentrations measured by the NLucVDR assay.

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Department of Pharmaceutical Engineering, Faculty of Engineering, Toyama Prefectural University, 5180 Kurokawa, Imizu, Toyama 939-0398, Japan. Electronic address:

It is well known that vitamin D is essential for human health; however, many people suffer from vitamin D deficiency or insufficiency worldwide, including in Japan. Serum 25-hydroxyvitamin D (25(OH)D) concentrations are typically measured to evaluate vitamin D status. In a previous study, we demonstrated that the concentrations of vitamin D metabolites in urine, measured using the NLucVDR assay system composed of a split-type nanoluciferase and the ligand-binding domain (LBD) of the human vitamin D receptor, correlated with serum 25(OH)D concentrations measured using liquid chromatography-mass spectrometry (LC-MS) or electrochemiluminescence immunoassays (ECLIAs).

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A comparative study on the antioxidant and antiglycation properties of different vitamin D forms.

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Department of Hygiene, Epidemiology and Ergonomics, Medical University of Bialystok, 2c Mickiewicza Street, 15-233, Bialystok, Poland. Electronic address:

Vitamin D plays multiple roles in the body. Recently, there has been an increase in its popularity and growing interest in vitamin D supplementation. However, the mechanisms of vitamin D action have not yet been sufficiently explored.

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Objective: The study aimed to investigate the causal relationship between serum 25-hydroxyvitamin D (25(OH)D) levels and epilepsy using Mendelian randomization (MR), thereby addressing confounding and reverse causality issues in observational studies.

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