RESUMO
Classical Hodgkin lymphoma (cHL) is a common B-cell cancer and a significant health concern, especially in Western and Asian countries. Despite the effectiveness of chemotherapy, many relapse cases are being reported, highlighting the need for improved treatments. This study aimed to address this issue by discovering biomarkers through the analysis of gene expression data specific to cHL. Additionally, potential anticancer inhibitors were explored to target the discovered biomarkers. This study proceeded by retrieving microarray gene expression data from cHL patients, which was then analyzed to identify significant differentially expressed genes (DEGs). Functional and network annotation of the upregulated genes revealed the active involvement of matrix metallopeptidase 12 (MMP12) and C-C motif metallopeptidase ligand 22 (CCL22) genes in the progression of cHL. Additionally, the mentioned genes were found to be actively involved in cancer-related pathways, i.e., oxidative phosphorylation, complement pathway, myc_targets_v1 pathway, TNFA signaling via NFKB, etc., and showed strong associations with other genes known to promote cancer progression. MMP12, topping the list with a logFC value of +6.6378, was selected for inhibition using docking and simulation strategies. The known anticancer compounds were docked into the active site of the MMP12 molecular structure, revealing significant binding scores of -7.7 kcal/mol and -7.6 kcal/mol for BDC_24037121 and BDC_27854277, respectively. Simulation studies of the docked complexes further supported the effective binding of the ligands, yielding MMGBSA and MMPBSA scores of -78.08 kcal/mol and -82.05 kcal/mol for MMP12-BDC_24037121 and -48.79 kcal/mol and -49.67 kcal/mol for MMP12-BDC_27854277, respectively. Our findings highlight the active role of MMP12 in the progression of cHL, with known compounds effectively inhibiting its function and potentially halting the advancement of cHL. Further exploration of downregulated genes is warranted, as associated genes may play a role in cHL. Additionally, CCL22 should be considered for further investigation due to its significant role in the progression of cHL.
Assuntos
Regulação Neoplásica da Expressão Gênica , Doença de Hodgkin , Humanos , Doença de Hodgkin/genética , Doença de Hodgkin/tratamento farmacológico , Doença de Hodgkin/metabolismo , Doença de Hodgkin/patologia , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Perfilação da Expressão Gênica , Simulação de Acoplamento Molecular , Transcriptoma , Antineoplásicos/farmacologia , Antineoplásicos/química , Metaloproteinase 12 da Matriz/genética , Metaloproteinase 12 da Matriz/metabolismo , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Terapia de Alvo MolecularRESUMO
Aim To explore the mechanism of Polygonum capitatum(PC)in the treatment of Helicobacter Pylori associated gastritis(HAG). Methods The databases were used to identify the target of PC active compounds and HAG-related genes,and the intersection was taken to obtain the potential targets of PC treatment of HAG. The interaction network diagram of “drug-active compound-target-disease” and the protein-protein interaction(PPI)network of potential target protein interaction in HAG treated by PC were constructed by software Cytoscape 3.6.0. The important nodes in the network were screened by several topological indexes,and the GO and KEGG enrichment were analyzed by STRING database to obtain the potential signaling pathway of PC in the treatment of HAG. The binding ability of PC active components with key target proteins was observed by molecular docking method. On this basis,the related targets of PC in the treatment of HAG were verified in vivo and in vitro experiments. Results The PC active compounds and targets were identified through the database,and the “drug-active compound-target-disease” network diagram and the PPI network of potential target proteins were constructed. Combined with several topological indexes,the PPI network of potential target-protein interaction was analyzed,and 52 hub genes were screened. Further bioinformatics analysis and high-throughput sequencing revealed that PC exerted an effect on HAG through the Akt/NF-κB/NLRP3 pathway. Based on this,it was found that PC could reduce IL-18 and IL-1β in HAG GES-1 cells and HAG SD rats,up-regulate Akt and its phosphorylation level and reduce NF-κB expression,inhibit the activation of NLRP3 inflammatory body,so as to improve HAG inflammatory response. Conclusions PC could exert a therapeutic effect on HAG by activating Akt and its phosphorylation level,and inhibiting the expression of NF-κB and NLRP3 inflammasome related factors. This study provides a theoretical basis for explaining the mechanism of PC in the treatment of HAG.