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Record W2101068859 · doi:10.1039/c5tb00623f

A polyphosphoester-conjugated camptothecin prodrug with disulfide linkage for potent reduction-triggered drug delivery

2015· article· en· W2101068859 on OpenAlexfundno aff
Qingqing Zhang, Jinlin He, Mingzu Zhang, Peihong Ni

Bibliographic record

VenueJournal of Materials Chemistry B · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersUniversity of WaterlooScience and Technology Program of SuzhouNational Natural Science Foundation of ChinaRoyal Society of ChemistryRoyal SocietyNatural Science Foundation of Suzhou City
KeywordsProdrugCamptothecinDrugConjugated systemPharmacologyDisulfide bondReduction (mathematics)Drug deliveryDisulfide LinkageChemotherapyChemistryMedicineMaterials scienceNanotechnologyBiochemistryInternal medicinePolymerOrganic chemistry

Abstract

fetched live from OpenAlex

H NMR and FT-IR analyses, while the molecular weights and molecular weight distributions were measured by gel permeation chromatography (GPC). The self-assembly behavior of the prodrug was investigated by the fluorescence probe method, dynamic light scattering (DLS) and transmission electron microscopy (TEM) analyses. The DLS results indicated that these prodrug micelles were relatively stable in neutral pH media, but could be degraded under the reductive conditions. The in vitro drug release studies showed that the CPT release from prodrug micelles was proceeded in a glutathione (GSH)-dependent manner. A methyl thiazolyl tetrazolium (MTT) assay demonstrated that the prodrug micelles could efficiently inhibit the proliferation of HepG2 cells. In addition, the intracellular uptake of prodrug micelles could efficiently release CPT into HepG2 cells, which was observed using a live cell imaging system. All these results indicated that this GSH-responsive polymeric prodrug has high potential for reduction-triggered cancer chemotherapy.

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 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 score0.010
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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.

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

Citations79
Published2015
Admission routes1
Has abstractyes

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