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Network-Guided Identification of Plant-Derived Modulators of Stress-Adaptive Signalling in Neuroblastoma
Mmei Cheryl Motshudi1, Clarissa Marcelle Naidoo1, Chikwelu Lawrence Obi1
1Department of Biology, School of Science and Technology, Sefako Makgatho Health Science University, Pretoria 0204, South Africa.
Abstract:
Neuroblastoma is characterized by noticeable resistance to chemotherapy, largely driven by the ability of tumour cells to reorganize stress-adaptive signalling networks rather than relying on single oncogenic drivers. We conducted a study to investigate the pharmacological mode of action of doxorubicin in modifying adaptive signalling pathways in SH-SY5Y neuroblastoma cells, and whether the capacity of plant metabolites can exploit emergent biochemical vulnerabilities. Transcriptomic profiling through RNA sequencing conducted 48 h post-doxorubicin exposure unveiled the organized disruption of pathways linked with amyloidogenic processes, oncogenic signalling pathways, oxidative stress, and DNA repair. The protein-protein interactions, coupled with Kyoto Encyclopedia of Genes and Genomes pathway evaluations, revealed five network-central-hubs: BRAF, GSK3β, PARP1, BACE1, and MAOB. Structural docking integrated with 200 ns molecular dynamics simulations illustrated binding stability across multiple targets driven by three metabolites, Lactol binding to BRAF (-54.13 kcal/mol) and MAOB (-39.08 kcal/mol), Amino(1H-indol-2-yl)acetic acid to BACE1 (-41.07 kcal/mol) and GSK3β (-47.38 kcal/mol), and Quercetin-3-(6″-malonyl-glucoside) binding to PARP1 (-46.03 kcal/mol). In vitro Cell Counting Kit-8 proliferation assays validated the significant anti-neuroblastoma efficacy, with the lowest IC50 (0.2397 µM) being exhibited by Amino(1H-indol-2-yl)acetic acid, followed by Lactol (1.226 µM) and Quercetin-3-(6″-malonyl-glucoside) (1.301 µM), which mirrored the cytotoxic action of doxorubicin (1.306 µM). These results suggest that plant-derived metabolites may interact with stress-adaptive signalling pathways connected with neuroblastoma. However, direct experimental validation of target engagement and pathway modulation will be required to confirm these predicted interactions.
Insights
Plant metabolites show potential in combating chemotherapy-resistant neuroblastoma by targeting adaptive signaling pathways. Further research is needed to confirm their efficacy and mechanisms of action.
Area of Science:
- Molecular Biology
- Pharmacology
- Computational Chemistry
Background:
- Neuroblastoma exhibits significant chemotherapy resistance due to adaptable signaling networks.
- Understanding drug mechanisms and identifying novel therapeutic strategies are crucial for treating neuroblastoma.
Purpose of the Study:
- To investigate doxorubicin's effect on adaptive signaling pathways in neuroblastoma cells.
- To explore the potential of plant metabolites in exploiting neuroblastoma's biochemical vulnerabilities.
Main Methods:
- Transcriptomic profiling (RNA sequencing) to analyze pathway alterations post-doxorubicin treatment.
- Protein-protein interaction analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway evaluation.
- Molecular docking and dynamics simulations to predict metabolite-target interactions.
- In vitro Cell Counting Kit-8 (CCK-8) assays to assess anti-neuroblastoma efficacy.
Main Results:
- Doxorubicin disrupted pathways involved in amyloidogenesis, oncogenesis, oxidative stress, and DNA repair.
- Five key network hubs identified: BRAF, GSK3β, PARP1, BACE1, and MAOB.
- Three plant metabolites (Lactol, Amino(1H-indol-2-yl)acetic acid, Quercetin-3-(6″-malonyl-glucoside)) showed significant binding affinity to these hubs.
- Amino(1H-indol-2-yl)acetic acid demonstrated the lowest IC50, indicating potent anti-neuroblastoma activity comparable to doxorubicin.
Conclusions:
- Plant-derived metabolites may effectively target stress-adaptive signaling pathways in neuroblastoma.
- These findings suggest a promising avenue for developing novel, natural-product-based neuroblastoma therapies.
- Experimental validation is necessary to confirm the predicted interactions and therapeutic potential.
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