5 research outputs found

    Anticancer Potential of Temozolomide-Loaded Eudragit-Chitosan Coated Selenium Nanoparticles: In Vitro Evaluation of Cytotoxicity, Apoptosis and Gene Regulation

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    Resistance to temozolomide (TMZ) is the main cause of death in glioblastoma multiforme (GBM). The use of nanocarriers for drug delivery applications is one of the known approaches to overcome drug resistance. This study aimed to investigate the possible effect of selenium-chitosan nanoparticles loaded with TMZ on the efficacy of TMZ on the expression of MGMT, E2F6, and RELA genes and the rate of apoptosis in the C6 cell line. Selenium nanoparticles (SNPs) were loaded with TMZ and then they were coated by Eudragit(R) RS100 (Eud) and chitosan (C-S) to prepare Se@TMZ/Eud-Cs. Physicochemical properties were determined by scanning electron microscope (SEM), energy-dispersive X-ray spectroscopy (EDAX), thermal gravimetric analysis (TGA), Fourier-transform infrared spectroscopy (FTIR), and dynamic light scattering (DLS) methods. Se@TMZ/Eud-Cs was evaluated for loading and release of TMZ by spectrophotometric method. Subsequently, SNPs loaded with curcumin (as a fluorophore) were analyzed for in vitro uptake by C6 cells. Cytotoxicity and apoptosis assay were measured by MTT assay and Annexin-PI methods. Finally, real-time PCR was utilized to determine the expression of MGMT, E2F6, and RELA genes. Se@TMZ/Eud-Cs was prepared with an average size of 200 nm as confirmed by the DLS and microscopical methods. Se@TMZ/Eud-Cs presented 82.77 +/- 5.30 loading efficiency with slow and pH-sensitive release kinetics. SNPs loaded with curcumin showed a better uptake performance by C6 cells compared with free curcumin (p-value < 0.01). Coated nanoparticles loaded with TMZ showed higher cytotoxicity, apoptosis (p-value < 0.0001), and down-regulation of MGMT, E2F6, and RELA and lower IC50 value (p-value < 0.0001) than free TMZ and control (p-value < 0.0001) groups. Using Cs as a targeting agent in Se@TMZ/Eud-Cs system improved the possibility for targeted drug delivery to C6 cells. This drug delivery system enhanced the apoptosis rate and decreased the expression of genes related to TMZ resistance. In conclusion, Se@TMZ/Eud-Cs may be an option for the enhancement of TMZ efficiency in GBM treatment

    The In Vitro Cytotoxicity, Hemolysis Assay and Protein Corona Studies of Silk Fibroin-Coated Mesoporous Silica Nanoparticles for Tioguanine Targeting to Leukemia

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    Leukemia remains among the most deadly of diseases and new therapeutic approaches are required with as much urgency as possible. Nanotechnology has been used to develop diagnostic and therapeutic methods for cancer. On-malignant normal cells damaging and drug resistance are responsible for the treatment of cancer. Since currently using tioguanine (TG) as antineoplastic agent has demonstrated several side effects, there are many approaches available to help reduce or avoid unintended drug effects. Loading of TG within mesoporous silica nanoparticles (MSNs) to prepare TG@MSNs which possess specific physicochemical properties for transporting and loading anticancer drugs would be a useful technique to resolve the negative effects of this medication. On other hand, silk fibroin (SF) was used, as an active targeting agent and pH-sensitive targeting release, on the surface of TG@MSNs to prepare SF/TG@MSNs to increase the targeting delivery of TG. The cellular research on the MOLT-4 cell line showed improved resistance to cytotoxicity and an increase in intracellular uptake of targeted nanoparticles, and induction of cell apoptosis. We found no major toxicity for free TG. Protein corona and hem compatibility of SF/TG@MSNs were also studied to show a minimal level of hemolytic activity and make suitable protein targets. In conclusion, the SF/TG@MSNs displayed a high effectiveness in destroying cancer cells and increasing the possibility of targeted drug delivery

    A comparative study of combination treatments in metastatic 4t1 cells: everolimus and 5- fluorouracil versus lithium chloride and 5-fluorouracil

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    Background: Combination therapy has been one of the most pioneering and strategic approaches implemented for malignancy treatment, which can intentionally influence multiple signaling pathways involved in cancer growth and progression. In the present study, the effects of 5-fluorouracil (5FU) in combination with everolimus (EVE) or lithium chloride (LiCl) were evaluated in 4T1 metastatic breast cancer cells and compared to control and each other. Methods and results: The resazurin assay, CompuSyn, flow cytometry, and real-time PCR were used to investigate cell proliferation, drug synergism, apoptosis, and gene expression. In comparison to the ternary combination of the drugs, the findings showed that cytotoxicity (p-value < 0.0001) and apoptosis (p-value < 0.0001) of two-by-two combinations increased dramatically as a consequence of the extreme synergy between 5FU and EVE or LiCl. Moreover, the hypoxiainducible transcription factor 1-alpha (HIF-1 alpha) and the vascular endothelial growth factor ( VEGF) downregulated considerably compared to control (p-value < 0.0001) by combination therapies of EVE-5FU and 5FU-LiCl; however, only VEGF displayed significant downregulation in comparison to single therapies. Conclusion: The findings showed that the combination of 5FU-LiCl increased cell cytotoxicity and apoptosis significantly more than EVE -5FU but suggests a clinical potential for both to treat metastatic breast cancer encouraging validation of these results in pre-clinical models

    Design of a Multi-epitope Vaccine against SARS-CoV-2 using Immunoinformatics approach

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    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 disease in China. So far, no vaccine has licensed to protect against infection with COVID-19, therefore an effective COVID-19 vaccine needed. The aim of this study was to predict antigenic peptides of SARS-CoV-2 for designing the COVID-19 vaccine using immunoinformatic analysis. In this study, T and B-cell epitopes of S protein were predicted and screened based on the antigenicity, toxicity, allergenicity, and cross-reactivity with human proteomes. The epitopes were joined by the appropriate linker. LT-IIc as an adjuvant was attached to the end of the structure. The secondary and 3D structure of the vaccine was predicted. The refinement process was performed to improve the quality of the 3D model structure; the validation process is performed using the Ramachandran plot and ProSA z-score. The proposed vaccine's binding affinity to the HLA-A11: 01 and HLA-DRB1_01: 01 molecule was evaluated by molecular docking. Using molecular dynamics, the stability of vaccine-HLA complexes was also evaluated. Finally, in silico gene cloning was performed in the pET30a (+) vector. The findings suggest that the current vaccine may be a promising vaccine to prevent SARS-CoV-2 infection
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