Metabolic disorders are a significant feature of fibrotic diseases. Nevertheless, the lack of sufficient proof regarding the cause-and-effect association between circulating metabolites and the promotion or prevention of idiopathic pulmonary fibrosis (IPF) persists. To assess the causal association between IPF and genetic proxies of 486 blood metabolites, a dual sample Mendelian randomization (MR) analysis was performed. Therefore, the two-sample MR technique and genome-wide association study data were employed to assess the association between 486 serum metabolites and IPF. To produce the primary outcomes, the inverse variance weighted (IVW) technique was applied, while to assess the stability and dependability of the outcomes, sensitivity analysis using MR-Egger analysis was performed. Additionally, weighted median, Cochran's Q-test, Egger intercept test and the leave-one-out method were used. The results of the present study revealed a total of 21 metabolites in blood circulation that could affect the risk of IPF (P