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Record W7132978915

Enzyme microencapsulation and its application for overcoming multidrug resistance in breast cancer treatment

2008· dissertation· W7132978915 on OpenAlexfundno aff
Qun Liu

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsCytotoxicityMultiple drug resistanceDoxorubicinIntracellularReactive oxygen speciesCancer cellExtracellularGlucose oxidase
DOInot available

Abstract

fetched live from OpenAlex

Cancer chemotherapy is largely hampered by the lack of selectivity of therapeutic agents, the development of multidrug resistance (MDR) and insufficient drug concentration available in solid tumors. In order to overcome these barriers for solid tumor chemotherapy, a novel strategy of using a reactive oxygen species (ROS)-generating enzyme, glucose oxidase (GOX), encapsulated in hydrogel microspheres formulation was developed and investigated. In summary, the results from this Thesis demonstrate that the ACMS and the fabrication methods are suitable for microencapsulation of proteins like GOX. The enzymatic activity of GOX was maintained by encapsulation into ACMS. ACMS-GOX is effective in circumventing P-gp mediated MDR mechanism in the studied breast cancer cells. The combination treatment of ACMS-GOX with intracellular antioxidant inhibitors enhanced the cytotoxicity. The in vitro cytotoxicity of GOX encapsulated in ACMS (ACMS-GOX) was evaluated using murine breast cancer EMT6/AR1.0 cells, which overexpress P-glycoprotein (P-gp) and wild type EMT6/WT parent cells. The mechanism of the cytotoxicity of ACMS-GOX was investigated by using various extracellular and intracellular ROS inhibitors. ACMS-GOX exhibited similar cytotoxicity to EMT6/AR1.0 cells as to EMT6/WT cells, in effect by-passing the MDR phenotype of EMT6/AR1.0 cells. Extracellular H2O2 and intracellular hydroxyl radicals were found to play a critical role in the cytotoxicity of ACMS-GOX towards EMT6/AR1.0 cells. GOX was encapsulated in alginate/chitosan microspheres (ACMS) using an emulsification-internal gelation, followed by GOX adsorption and polyelectrolyte coating method. High GOX loading and encapsulation efficiency were achieved when the pH of the adsorption medium was lower than the isoelectric point (pI) of GOX. The activity of GOX in ACMS was maintained and showed sustained production of H2O2 compared to free GOX (FR-GOX). The distribution of GOX within ACMS was inhomogeneous with higher concentrations near the surface of ACMS as detected by confocal laser scanning microscope (CLSM) and x-ray photoelectron spectroscopy (XPS). GOX was loaded into calcium alginate (CaAlg) gel beads via electrostatic interactions between GOX and CaAlg. GOX retained its integrity after adsorption to CaAlg and coating of the CaAlg gel beads with chitosan. Fourier transform infrared (FT-IR) and differential scanning calorimeter (DSC) results indicated the formation of a CaAlg-GOX-chitosan complex, which stabilized GOX.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.018
GPT teacher head0.310
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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