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Record W7011881735

Novel Formulation of PGLA nanoparticles for targeted glioblastoma chemotherapy

2022· article· en· W7011881735 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSunderland Repository (University of Sunderland) · 2022
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsPimozideGlioblastomaDrug deliveryPLGATargeted drug deliveryDrugTransferrin receptorPaclitaxelChemotherapyTemozolomide
DOInot available

Abstract

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Novel Formulation of PGLA nanoparticles for targeted glioblastoma chemotherapy Md Nazim Uddin1; Amal Elkordy2; Ahmed Faheem3 School of Pharmacy and Pharmaceutical Sciences, University of Sunderland, Sunderland, United Kingdom 1nazim.uddin@sunderland.ac.uk; 2amal.elkordy@sunderland.ac.uk; 3ahmed.faheem@sunderland.ac.uk INTRODUCTION Poly-lactide-co-glycolide (PLGA) is a biodegradable polymer that has been approved by U.S Food Drug Administration (FDA) and European Medicines Agency (EMA) for therapeutic use in human. Furthermore, it is being extensively studied as nanoparticulate drug delivery system. The most attractive feature of PLGA nanoparticles is that they could be tuned into functionalized nanoparticles having desired physicochemical properties. In particular, active targeting can be made possible with PLGA nanoparticle by conjugating targeting ligand within the PLGA. Pimozide is a first-generation antipsychotic drug used in schizophrenia and Tourette syndrome, and other psychotic disorder. Interestingly, it was reported as anticancer agent in several studies. However, no study has developed pimozide formulation aiming for cancer therapy. Glioblastoma is a deadly brain cancer that is not completely treatable with current clinical interventions. Studies suggest that antipsychotic agent pimozide inhabits glioblastoma cells. However, using free-pimozide for glioblastoma chemotherapy only would not be possible as it would induce severe side effects, along with its antipsychotic effect. Targeted delivery of pimozide by PLGA nanoparticles could be a potential therapeutic option for glioblastoma. However, blood-brain barrier (BBB) poses a threat to nanoparticles. In this case, PLGA nanoparticles functionalised with transferrin (TF) could selectively target transferrin receptor (TFR) proteins that are expressed by BBB lining capillary endothelial cells. PLGA-TF complex would be then transported across the BBB by clathrin-mediated endocytosis. Interestingly, glioblastoma cells overexpress TFR receptors, which would be again selectively targeted by PLGA-TF nanoparticles. Earlier, we developed PLGA-PEG nanoparticles with tuned physicochemical properties, such as sub 100 nm particle size and over 70% drug encapsulation efficiency. This study aims to develop targeted nanoparticles (PLGA-PEG-TF) and evaluate them on glioblastoma cell lines. OBJECTIVES The objectives of this study are- • To functionalise PLGA-PEG nanoparticles with transferrin. • To confirm the expression of TFR proteins on glioblastoma cell lines. • To evaluate the cytotoxicity of PGLA-PEG-TF nanoparticles on glioblastoma cell line. MATERIALS AND METHODS Nanoparticles were prepared by a staggered herringbone micromixing method, using a benchtop NanoAssemblr® (Precision NanoSystems™, Canada). Particle size and charge were analysed by dynamic light scattering (DLS), using Zetasizer ZSP instrument (Malvern Panalytical, UK). Drug encapsulation efficiency (EE) was analysed by a validated ultra-high-performance liquid chromatography (UHPLC). The morphology of the nanoparticles was analysed by transmission electron microscopy (TEM). Adsorbed transferrin (TF) on the nanoparticles was quantified by an indirect method using micro-BCA protein assay. For in vitro evaluation, patient-derived glioblastoma cell lines, namely E2, G7, R24, and GLG were cultured on advanced Dulbecco’s modified Eagle medium (DMEM). Transferrin receptors (TFR) expression on these four cell lines was investigated by Western blot analysis. Finally, the cytotoxicity of targeted nanoparticles was evaluated on the cell line that mostly expressed TFR, performing cell proliferation assay using a live-cell analysis system IncuCyte® ZOOM (Essen BioScience, UK). RESULTS AND DISCUSSIONS Increased particle size (observed by DLS) confirmed TF adsorption on PLGA (Table 1). Further, TEM and BCA protein assay confirmed the transferrin adsorption (data not shown). Western blot analysis showed that two types of TFR receptors (TFR1 and TFR1) were expressed on three cell lines out of four tested in this study (Figure 1). It can be observed that TFR1 was expressed most on E2 cell line. Accordingly, cell proliferation assay of E2 cell line showed that PLGA-PEG-TF nanoparticles effectively inhibited the growth of glioblastoma cells (Figure 2). This finding was further supported by the phase contrast images that were taken after treatment of nanoparticles (Figure 3). NPs Particle size (nm) Zeta potential (mV) Encapsulation efficiency %(EE) PLGA-PEG 61±1 -18 ± 2 73±4 PLGA-PEG-TF 74±6 -10 ± 2 47±3 Table 1. Physicochemical characterisation of nanoparticles Figure 1: Western blot analysis showing TFR expression on glioblastoma cell lines. Figure 2: Cytotoxicity of targeted nanoparticles (PLGA-PEG-TF) on glioblastoma cell line E2. Figure 3: Phase contrast images of glioblastoma cells at day 3 after treated with targeted and non-targeted PLGA nanoparticles. CONCLUSIONS This study aimed to target glioblastoma cells with pimozide-encapsulated PLGA-PEG-TF nanoparticles that would, when treated, selectively bind with TFR on the cell surface, and get internalized by clathrin-mediated endocytosis. Thus, pimozide would only kill glioblastoma cells if delivered with targeted nanoparticles. Our results, with sub 100 nm particle size even after TF adsorption, ~50% drug encapsulation efficiency, positive TFR expression on glioblastoma cells, and effective inhibition of glioblastoma cell growth support the hypothesis. However, in vivo studies are required for its development into nanomedicines. REFERENCES 1. Bidkar, A. P., Sanpui, P., & Ghosh, S. S. (2020). Transferrin-Conjugated Red Blood Cell Membrane-Coated Poly(lactic-co-glycolic acid) Nanoparticles for the Delivery of Doxorubicin and Methylene Blue. ACS Applied Nano Materials, 3(4), 3807–3819. https://doi.org/10.1021/acsanm.0c00502 2. Calzolari, A., Larocca, L. M., Deaglio, S., Finisguerra, V., Boe, A., Raggi, C., Ricci-Vitani, L., Pierconti, F., Malavasi, F., De Maria, R., Testa, U., & Pallini, R. (2010). Transferrin Receptor 2 Is Frequently and Highly Expressed in Glioblastomas. Translational Oncology, 3(2), 123–134. https://doi.org/10.1593/tlo.09274 3. Chang, J., Jallouli, Y., Kroubi, M., Yuan, X., Feng, W., Kang, C., Pu, P., & Betbeder, D. (2009). Characterization of endocytosis of transferrin-coated PLGA nanoparticles by the blood–brain barrier. International Journal of Pharmaceutics, 379(2), 285–292. https://doi.org/10.1016/j.ijpharm.2009.04.035 4. Lee, J. K., Nam, D.-H., & Lee, J. (2016). Repurposing antipsychotics as glioblastoma therapeutics: Potentials and challenges (Review). Oncology Letters, 11(2), 1281–1286. 5. Rath, B. H., Camphausen, K., & Tofilon, P. J. (2016). Glioblastoma radiosensitization by pimozide. Translational Cancer Research, 5(6), S1029–S1032. https://doi.org/10.21037/10584 6. Svenja, Z., N, M., M, M., K, A.-E.-A., F, R., Sjl, van W., D, K., & S, F. (2018, September 24). Loperamide, Pimozide, and STF-62247 Trigger Autophagy-Dependent Cell Death in Glioblastoma Cells. Cell Death & Disease; Cell Death Dis. https://doi.org/10.1038/s41419-018-1003-1.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.201
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it