This study investigates the relationship between iron metabolism and multiple sclerosis (MS) using comprehensive bioinformatics analysis and Mendelian randomization (MR) methods. The research aims to explore the role of iron metabolism in the pathogenesis of MS and provide insights for further therapeutic interventions. Key findings include the identification of IREB2, LAMP2, ISCU, ATP6V1G1, ATP13A2, and SKP1 as genes associated with MS and iron metabolism, with an AUC of 0.83 for their diagnostic value. MR analysis revealed a potential causal relationship between transferrin saturation and MS, as well as serum transferrin and MS. The study highlights the complex interplay between iron and MS, suggesting that both iron deficiency and excess can contribute to the disease's progression. The findings offer new perspectives on the role of iron in MS and provide a theoretical foundation for future research and clinical applications.This study investigates the relationship between iron metabolism and multiple sclerosis (MS) using comprehensive bioinformatics analysis and Mendelian randomization (MR) methods. The research aims to explore the role of iron metabolism in the pathogenesis of MS and provide insights for further therapeutic interventions. Key findings include the identification of IREB2, LAMP2, ISCU, ATP6V1G1, ATP13A2, and SKP1 as genes associated with MS and iron metabolism, with an AUC of 0.83 for their diagnostic value. MR analysis revealed a potential causal relationship between transferrin saturation and MS, as well as serum transferrin and MS. The study highlights the complex interplay between iron and MS, suggesting that both iron deficiency and excess can contribute to the disease's progression. The findings offer new perspectives on the role of iron in MS and provide a theoretical foundation for future research and clinical applications.