Background: Prostate cancer (PCa) is a significant malignancy in men, particularly challenging in the metastatic stage due to poor prognosis and limited treatment efficacy. Traditional Chinese Medicine, particularly Modified Shenqi Dihuang Decoction (MSDD), has demonstrated promise in inhibiting PCa metastasis, although its mechanisms remain unclear., Methods: The efficacy of MSDD was evaluated using migration assays and a nude mouse model. Metabolomics was employed to identify the biological processes affected by MSDD. Systematic pharmacology, bioinformatics, and molecular dynamics were utilized to determine direct action targets of MSDD. Additionally, luciferase reporter assays, ChIP-qPCR, and gene editing were applied to elucidate the pharmacological mechanisms., Results: MSDD effectively inhibited prostate metastasis both in vivo and in vitro, without significant adverse events reported. Metabolomics and molecular biology experiments indicated that MSDD transcriptionally represses OGDH, affecting energy metabolism associated with the tricarboxylic acid cycle (TCA) in PCa. The active components of MSDD were found to potentially bind to the transcription factor RELA (NF-kB-p65), and further experiments demonstrated that RELA regulates OGDH transcription. Further experiments revealed that the anti-metastatic effects of MSDD are RELA-dependent, indicating the crucial role of the NF-kB/OGDH axis in this process., Conclusions: These findings support the clinical use of MSDD in metastatic PCa, emphasizing its potential to address current treatment gaps. The identified NF-kB/OGDH-dependent mechanism not only underpins MSDD's anti-metastatic effects but also reflects OGDH as a potential therapeutic target. Further research into the role of TCA in PCa progression is imperative., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2025. Published by Elsevier GmbH.)