Application of Mendelian randomized analysis method in Vitamin D research: A 10-year bibliometric analysis

Vitamin D is an open-cyclic steroidal trace organic compound that plays a crucial role in human metabolism and nutritional health. In recent years, Mendelian randomization (MR) has emerged as a widely adopted method for analyzing causal relationships, particularly in studying the association between Vitamin D and related diseases. However, no bibliometric analyses have been conducted to explore the research hotspots and trends regarding Vitamin D status in MR studies. This study utilized the Web of Science Core Collection as a source database and retrieved articles on Vitamin D status in MR published from 2014 to 2024. Bibliometric and visualization analyses utilized VOSviewer, Microsoft Excel 2021, and Scimago Graphica. An in-depth analysis of country or region, authors, journals, keywords, and references were performed to provide insights into the content related to the field. A total of 186 documents authored by 1122 contributors across 30 countries were identified. China and the University of Bristol had the highest publication counts, with 94 and 19 articles, respectively. The nutrients published the largest number of articles, and J Brent Richards was the largest contributors. The most frequently used keywords included "Mendelian randomization," "Vitamin D," "25-hydroxyVitamin D," "obesity," and "Type 2 Diabetes." The current research focuses on using MR methods to explore the associations between Vitamin D status and metabolic, cardiovascular, immune skin, psychiatric and neurological diseases. The related research in this field will continue to increase in the next few years, which is a promising research prospect in this field. This study systematically reviews the literature from the past decade, revealing research hotspots and trends in the field of Vitamin D status within MR studies. This information will provide a strong reference for readers and researchers.