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Record W3190284368

Rational Design and Development of Dual location Dual Stimuli-Responsive Polymeric Nanocarriers for Drug Delivery

2020· dissertation· en· W3190284368 on OpenAlexfundno aff
Newsha Arezi

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaJazz Pharmaceuticals
KeywordsNanocarriersChemistryDrug deliveryMicellePolymersomeNanomedicineAmphiphileCombinatorial chemistryBiophysicsGlutathioneDrugNanotechnologyCopolymerNanoparticleMaterials scienceAqueous solutionBiochemistryOrganic chemistryPharmacologyPolymer
DOInot available

Abstract

fetched live from OpenAlex

Design and development of smart nano-sized delivery devices for controlled drug release in response to endogenous stimuli (such as acidic pH and glutathione (GSH)) inherently found in tumor tissue is a promising platform in tumor-targeting nanomedicine. This platform allows for the maximization of therapeutic efficacy whilst reducing unwanted off-target side effects. Particularly, polymeric nanocarriers self-assembled from amphiphilic block copolymers (ABCP) have gained significant attention due of their size tunability and enhanced colloidal stability. Well-controlled ABCPs enable the formation of core-shell micelles in aqueous solutions having hydrophobic cores, enabling the physical entrapment of hydrophobic anticancer drugs, surrounded with hydrophilic coronas. Further, an incorporation of stimuli-responsive degradable (SRD) linkages in ABCPs allows for controlled micelle degradation and drug release at the site of action. 
\nIn this research, a dual location dual stimuli-responsive degradation (DL-DSRD) strategy is explored as a versatile platform for intracellular tumor-targeting drug delivery. Two ABCPs exhibiting dual acidic pH/reduction-responsive degradation are studied. The self-assembled ABCPs form colloidally stable nanoassemblies showing synergistically rapid release of encapsulated doxorubicin (a clinically used anticancer drug) at pH = 5.4 in 10 mM GSH solution caused by the cleavage of acid-labile and disulfide linkages. In addition, a new approach utilizing carbonylimidazole-hydroxyl coupling chemistry is explored to synthesize reduction-degradable poly(carbonate-disulfides) labeled with disulfide linkage on the backbones. They possess multi-functionalities as well as tunable and rapid reductive-degradation through main-chain degradation mechanism. Further, the versatility of the approach is demonstrated with the synthesis of an amphiphilic triblock copolymer exhibiting DL-DSRD responses. 
\nOverall, the results obtained through this research contribute to the advancement of current understanding and helps guide the design of improved SRD-exhibiting ABCP-based drug delivery nanocarriers.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.033
GPT teacher head0.276
Teacher spread0.243 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

Explore more

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