Evidence map›Paper›PMID 24995948›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2014

Predicting diffusive transport of cationic liposomes in 3-dimensional tumor spheroids.

Michael G Wientjes, Bertrand Z Yeung, Ze Lu, M Guillaume Wientjes, Jessie L S Au

Abstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Michael G WientjesOptimum Therapeutics LLC, 9363 Towne Centre Drive, San Diego, CA 92121, USA.
Bertrand Z YeungOptimum Therapeutics LLC, 9363 Towne Centre Drive, San Diego, CA 92121, USA; Department of Pharmaceutical Sciences, University of Oklahoma, Oklahoma City, OK 73126, USA.
Ze LuOptimum Therapeutics LLC, 9363 Towne Centre Drive, San Diego, CA 92121, USA.
M Guillaume WientjesOptimum Therapeutics LLC, 9363 Towne Centre Drive, San Diego, CA 92121, USA.
Jessie L S AuOptimum Therapeutics LLC, 9363 Towne Centre Drive, San Diego, CA 92121, USA; Department of Pharmaceutical Sciences, University of Oklahoma, Oklahoma City, OK 73126, USA. Electronic address: jau@optimumtx.com.
Optimum Therapeutics (United States) · USOklahoma City University · USUniversity of Oklahoma · US

Funding

Multiscale computational models for developing combination cancer therapyR01GM100487 · NIGMS · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.3M
Capturing dynamic and inter-dependent biointerfaces in nanotechnology designsR01EB015253 · NIBIB · OPTIMUM THERAPEUTICS, LLC · PI AU, JESSIE L.-S., WIENTJES, M GUILLAUME · 2011 to 2014
$1.1M
NIBIB NIH HHS R01 EB015253NIGMS NIH HHS R01 GM100487
6 · The paper itself

Abstract

Nanotechnology is widely used in cancer research. Models that predict nanoparticle transport and delivery in tumors (including subcellular compartments) would be useful tools. This study tested the hypothesis that diffusive transport of cationic liposomes in 3-dimensional (3D) systems can be predicted based on liposome-cell biointerface parameters (binding, uptake, retention) and liposome diffusivity. Liposomes comprising different amounts of cationic and fusogenic lipids (10-30mol% DOTAP or 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine, 1-20mol% DOPE or 1,2-dioleoyl-3-trimethylammonium-propane, +25 to +44mV zeta potential) were studied. We (a) measured liposome-cell biointerface parameters in monolayer cultures, and (b) calculated effective diffusivity based on liposome size and spheroid composition. The resulting parameters were used to simulate the liposome concentration-depth profiles in 3D spheroids. The simulated results agreed with the experimental results for liposomes comprising 10-30mol% DOTAP and ≤10mol% DOPE, but not for liposomes with higher DOPE content. For the latter, model modifications to account for time-dependent extracellular concentration decrease and liposome size increase did not improve the predictions. The difference among low- and high-DOPE liposomes suggests concentration-dependent DOPE properties in 3D systems that were not captured in monolayers. Taken together, our earlier and present studies indicate the diffusive transport of neutral, anionic and cationic nanoparticles (polystyrene beads and liposomes, 20-135nm diameter, -49 to +44mV) in 3D spheroids, with the exception of liposomes comprising >10mol% DOPE, can be predicted based on the nanoparticle-cell biointerface and nanoparticle diffusivity. Applying the model to low-DOPE liposomes showed that changes in surface charge affected the liposome localization in intratumoral subcompartments within spheroids.

Indexed as

Biological TransportComputer SimulationDiffusionFatty Acids, MonounsaturatedHumansLiposomesNeoplasmsPhosphatidylethanolaminesQuaternary Ammonium CompoundsSpheroids, CellularTumor Cells, Cultured1,2-dielaidoylphosphatidylethanolamine1,2-dioleoyloxy-3-(trimethylammonium)propaneFatty Acids, MonounsaturatedLiposomesPhosphatidylethanolaminesQuaternary Ammonium Compounds3-Dimensional tumorsCationic liposomesDiffusive transportFusogenic lipidNanoparticleSpatiokinetics

Identifiers

PMID24995948
PMCPMC4169740
OpenAlexW2044526272

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.