Evidence map›Paper›PMID 30637420›Full record

ArticleNanoscale2019

Zapped assembly of polymeric (ZAP) nanoparticles for anti-cancer drug delivery.

Stuart S Dunn, J Christopher Luft, Matthew C Parrott

Abstract read
In one paragraph

Article in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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

3 authors.

Stuart S DunnLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
J Christopher Luft
Matthew C Parrott

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
NCATS NIH HHS KL2 TR001109NCI NIH HHS P30 CA016086
6 · The paper itself

Abstract

The starting hypothesis for this work was that microwave synthesis could enable the rapid assembly of polymers into size-specific nanoparticles (NPs). The Zapped Assembly of Polymeric (ZAP) NPs was initially realized using poly(lactic-co-glycolic acid)-poly(ethylene glycol) (PLGA-PEG) block copolymers and distinct microwave reaction parameters. A library of polymeric NPs was generated with sizes ranging from sub-20 nm to 350 nm and low polydispersity. Select ZAP NPs were synthesized in 30 seconds at different scales and concentrations, up to 200 mg and 100 mg mL-1, without substantial size variation. ZAP NPs with diameters of 25 nm, 50 nm, and 100 nm were loaded with the chemotherapeutic paclitaxel (PXL), demonstrated unique release profiles, and exhibited dose-dependent cytotoxicity similar to Taxol. Incorporation of d-alpha tocopheryl polyethylene glycol succinate (TPGS) and PLGA33k allowed for the production of a sub-40 nm NP with an exceptionally high loading of PXL (12.6 wt%, ca. 7 times the original NP) and a slower release profile. This ZAP NP platform demonstrated scalable, flexible, and tunable synthesis with potential toward clinical scale production of size-specific drug carriers.

Indexed as

Antineoplastic Agents, PhytogenicCell SurvivalDrug CarriersDrug LiberationHeLa CellsHumansMicrowavesNanoparticlesPaclitaxelParticle SizePolyestersPolyethylene GlycolsAntineoplastic Agents, PhytogenicDrug CarriersPaclitaxelPolyesterspolyethylene glycol-poly(lactide-co-glycolide)Polyethylene Glycols

Identifiers

PMID30637420
PMCPMC6512809

What OpenQuestion holds

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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.