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Record W2742715679 · doi:10.1021/acs.biomac.7b00509

pH-Responsive Poly(Ethylene Glycol)-<i>block</i>-Polylactide Micelles for Tumor-Targeted Drug Delivery

2017· article· en· W2742715679 on OpenAlexafffund
Lin Xiao, Lixia Huang, Firmin Moingeon, Mario Gauthier, Guang Yang

Bibliographic record

VenueBiomacromolecules · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsUniversity of Waterloo
FundersChina Postdoctoral Science FoundationNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsEthylene glycolMicelleHeLaPaclitaxelIn vivoCopolymerPEG ratioChemistryDrug deliveryIn vitroBiophysicsExtracellularDrug carrierNuclear chemistryBiochemistryOrganic chemistryAqueous solutionBiologyCancerPolymer

Abstract

fetched live from OpenAlex

A biodegradable micellar drug delivery system with a pH-responsive sheddable PEG shell was developed using an acetal-linked poly(ethylene glycol)-block-polylactide (PEG-a-PLA) copolymer and applied to the tumoral release of paclitaxel (PTX). The micelles with a diameter of ∼100 nm were stable in PBS at pH 7.4, started shedding the shell and aggregating slowly at pH 6.5, and decomposed faster at pH 5.5. PTX-loaded micelles (M-PTX) with a drug loading of 6.9 wt % exhibited pH-triggered PTX release in simulated tumoral acidic environments corresponding to the extracellular and intracellular spaces. In vitro experiments showed that the micelles were noncytotoxic to different cell lines, while M-PTX inhibited the proliferation and promoted the apoptosis of Hela cells. An in vivo study with Hela tumor-bearing mice indicated that M-PTX efficiently inhibited tumor growth. Because of these properties, the PEG-a-PLA micellar system appears to have bright prospects as a tumor-targeting drug carrier.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.252
Teacher spread0.240 · 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

Citations55
Published2017
Admission routes2
Has abstractyes

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