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Record W2612820192 · doi:10.1021/acsami.7b03160

Dipole Orientation Matters: Longer-Circulating Choline Phosphate than Phosphocholine Liposomes for Enhanced Tumor Targeting

2017· article· en· W2612820192 on OpenAlexafffund
Shuya Li, Feng Wang, Xiaoqiu Li, Jing Chen, Xiaohan Zhang, Yucai Wang, Juewen Liu

Bibliographic record

VenueACS Applied Materials & Interfaces · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of Waterloo
FundersMinistry of Education of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsLiposomePhosphocholineMembraneMaterials scienceBiocompatibilityBiophysicsCholineEthylene glycolLipid bilayerDrug deliveryPhosphatidylcholineChemistryNanotechnologyPhospholipidBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Zwitterionic phosphocholine (PC) liposomes are widely used in drug delivery because of their high biocompatibility and long blood circulation time. We herein report that by flipping the direction of the PC dipole, the resulting choline phosphate (CPe) liposomes have an even longer circulation time, as confirmed at both cellular and animal-model levels. Even when 33% cholesterol was included in the lipid formulation with a poly(ethylene glycol) layer, the CPe liposome still had a longer blood circulation time. Isothermal titration calorimetry indicates a lack of protein adsorption or PC membrane attachment for the CPe liposomes. This is different from the previously reported adhesion of CP polymers to PC lipid membranes, which may be attributed to the different ways of displaying the CP headgroup. With a longer blood circulation time, the CPe liposomes accumulated in tumors more easily than PC liposomes, which is likely due to the enhanced permeation and retention effect and tumor cell uptake. This study provides key insights into zwitterionic biointerfaces for biomedical, analytical, and materials applications.

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 score0.001
Threshold uncertainty score0.005

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)0.0010.001

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 head0.011
GPT teacher head0.289
Teacher spread0.278 · 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

Citations42
Published2017
Admission routes2
Has abstractyes

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