RESUMO
The enzyme 15-hydroxyprostaglandin dehydrogenase (15-PGDH), which acts as a negative regulator of prostaglandin E2 (PGE2) levels and activity, represents a promising pharmacological target for promoting liver regeneration. In this study, we collected data on 15-PGDH homologous family proteins, their inhibitors, and traditional Chinese medicine (TCM) compounds. Leveraging machine learning and molecular docking techniques, we constructed a prediction model for virtual screening of 15-PGDH inhibitors from TCM compound library and successfully screened genistein as a potential 15-PGDH inhibitor. Through further validation, it was discovered that genistein considerably enhances liver regeneration by inhibiting 15-PGDH, resulting in a significant increase in the PGE2 level. Genistein's effectiveness suggests its potential as a novel therapeutic agent for liver diseases, highlighting this study's contribution to expanding the clinical applications of TCM.
Assuntos
Inibidores Enzimáticos , Hidroxiprostaglandina Desidrogenases , Regeneração Hepática , Medicina Tradicional Chinesa , Simulação de Acoplamento Molecular , Hidroxiprostaglandina Desidrogenases/antagonistas & inibidores , Hidroxiprostaglandina Desidrogenases/metabolismo , Animais , Regeneração Hepática/efeitos dos fármacos , Inibidores Enzimáticos/farmacologia , Inibidores Enzimáticos/química , Humanos , Dinoprostona/metabolismo , Simulação por Computador , Genisteína/farmacologia , Genisteína/química , Masculino , Avaliação Pré-Clínica de Medicamentos , Medicamentos de Ervas Chinesas/farmacologia , Medicamentos de Ervas Chinesas/química , Camundongos , Aprendizado de MáquinaRESUMO
Background: Ferroptosis is a form of iron-dependent cell death with increased free iron and massive lipid peroxidation. The discovery of ferroptosis offers insights into hepatocellular carcinoma (HCC) treatment. However, post-transcriptional regulation mechanisms of ferroptosis in HCC remain to be elucidated. The present study explored ferroptosis-related genes and their post-transcriptional regulation mechanisms in HCC. Methods: A ferroptosis score was computed in The Cancer Genome Atlas (TCGA) cohort via gene set variation analysis (GSVA), and ferroptosis-related genes were screened by differential expression and correlation analyses. CircRNA/miRNA-mediated ferroptosis-related genes were predicted, and associations of ferroptosis-related genes with m1A/m5C/m6A regulators were analyzed. Immune cell infiltrations were inferred via CIBERSORT. NUDCD1 expression was examined in L-02, SMMC7721, and HepG2 cells via real time quantitative polymerase chain reaction (RT-qPCR) and western blots. After NUDCD1 was silenced, cell viability, glutathione peroxidase 4 (GPX4) and ferritin heavy chain 1 (FTH1) expression, and oxidized glutathione/glutathione (GSSG/GSH) and glutathione (GSH) levels were detected in SMMC7721 and HepG2 cells. Results: The ferroptosis score was linked to poor overall survival (OS) of HCC, which was independent of other clinicopathological parameters. Ten ferroptosis-related genes were determined, namely UGT1A6, ATP6V1C1, MAFG, NUDCD1, PPP1R1A, TSKU, CTSB, AIFM2, CTSA, and CTNND2, which were post-transcriptionally regulated by circRNA/miRNA and m1A/m5C/m6A modifications in HCC. Most were significantly linked with most immune cell compositions within the immune microenvironment, and contributed to undesirable clinical outcomes. NUDCD1 was up-regulated in HCC cells, and its loss facilitated the ferroptosis of HCC cells. Conclusions: Overall, our findings determined ferroptosis-related genes post-transcriptionally regulated by circRNA/miRNA and m1A/m5C/m6A RNA modifications, and experiments demonstrated that loss of NUDCD1 may facilitate the ferroptosis of HCC cells, which provides novel insights into the regulatory mechanisms of ferroptosis in HCC.