Investigator

Siamak Salami

Shahid Beheshti University

SSSiamak Salami
Papers(2)
Investigating the Eff…Long-Term Glucose Res…
Collaborators(7)
Tahmineh PeirouviZahra ShahsavariFereshteh BagheriHossein GhahremaniMahsa Hatami ShandiMajid Sirati-SabetSaeedeh Nabati
Institutions(2)
Shahid Beheshti Unive…Urmia University

Papers

Investigating the Effects of Dorema hyrcanum Root Extracts on Selective Induction of Programmed Cell Death in Glioblastoma, Ovarian Cancer and Breast Cancer Cell Lines

Background: Despite remarkable advances, cancer has remained the second cause of death, which shows that more potent novel compounds should be found. Ethnobotanical compounds have a long history of treating diseases, and several approved chemotherapeutic compounds were isolated from plants. Objective: The research aimed to evaluate the cytotoxic effects of Dorema hyrcanum root extract on ovarian, breast, and glioblastoma cells while examining its selectivity towards normal cells. Additionally, the study is directed to investigate cell death mechanisms, delineate modes of cell death, and explore intracellular ROS production. Methods: Cytotoxic effects of alcoholic, dichloromethane, and petroleum ether fractions of Dorema hyrcanum were investigated on cancer and normal cells by using MTT assay, and the concentration around IC50 values was used for flow cytometric assessment of apoptosis, evaluation of the expression of selected genes via RT-qPCR and production of ROS. Results: Methanolic extract exhibited the highest cytotoxicity, impacting A2780CP and MDA-MB-231. All fractions showed comparable effects on U251 cells. Notably, extracts displayed higher IC50 values in normal HDF cells, indicating cancer cell specificity. Flow cytometry revealed induction of apoptosis and non-apoptotic death in all three cancer cell lines. QPCR results showed upregulation of related genes, with RIP3K prominently increased in U251 glioblastoma. The DCFH-DA assay demonstrated ROS induction by the PE fraction exclusively in A2780CP cells after 30 minutes and up to 24 hours. Conclusion: Dorema hyrcanum root extracts exhibited potent anti-tumor effects against all studied cell lines. The methanolic extract demonstrated the highest cytotoxicity, particularly against A2780CP and MDA-MB-231 cells. Importantly, all fractions displayed selectivity for cancer cells over normal HDF cells. Unique modes of action were observed, with the petroleum ether fraction inducing significant non-apoptotic cell death. These findings suggest promising therapeutic potential for Dorema hyrcanum in cancer treatment with subject to further mechanistic studies.

Long-Term Glucose Restriction with or without β-Hydroxybutyrate Enrichment Distinctively Alters Epithelial-Mesenchymal Transition-Related Signalings in Ovarian Cancer Cells

The beneficial impacts of the ketogenic diet and metabolic reprograming were recently reported for ovarian cancer patients. In this study, the effects of glucose restriction with or without beta-hydroxybutyrate (bHB) enrichment were studied in drug-resistant CD133high A2780CP and CD133low SK-OV-3 ovarian cancer cells to scrutinize the impact of experimental ketosis on ATP production, epithelial to mesenchymal transition (EMT), and related signaling pathways including Wnt, Hippo, and Hedgehog. Cells were adapted and maintained for a month with restricted levels of glucose (250 mg/l) with or without the therapeutic concentration of bHB (5 mM). Quantitative PCR, Western blot analysis, flow cytometry, chemiluminescence, and wound healing assay were used in this study. Glucose restriction and bHB enrichment reduced the stemness marker and diminished In Vitro migration in both cell lines. Glucose restriction significantly reduced ATP levels in both cells, but bHB enrichment was partially compensated for the ATP levels solely in SK-OV-3 cells. Glucose restriction mainly inhibited the Wnt pathway in the CD133high A2780CP cells, but the Hedgehog pathway was the main target in CD133low SK-OV-3 cells. In Conclusion, Prior targeted evaluations of key genes' expression would help to predict the distinctive impacts of metabolic fuels and to optimize the efficacy of ketogenic diets.

2Papers
7Collaborators