Evidence map›Paper›PMID 23144650›Full record

ArticleSoft matter2012

Architectural layer-by-layer assembly of drug nanocapsules with PEGylated polyelectrolytes.

Tatsiana G Shutava, Pravin P Pattekari, Kirill A Arapov, Vladimir P Torchilin, Yuri M Lvov

Abstract read
In one paragraph

Article in Soft matter, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Micro- and Nanocapsules Based on Artificial Peptides.Molecules (Basel, Switzerland) · 2022
    Review
  5. Review
  6. Article
  7. Conventional Nanosized Drug Delivery Systems for Cancer Applications.Advances in experimental medicine and biology · 2021
    Article
  8. Article
  9. Article
  10. Engineering nanolayered particles for modular drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2016
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

5 authors.

Tatsiana G ShutavaLouisiana Tech University, Institute for Micromanufacturing, 911 Hergot Ave., Ruston, Louisiana, 71272, USA.
Pravin P Pattekari
Kirill A Arapov
Vladimir P Torchilin
Yuri M Lvov

Funding

Layer-by-layer nanocarriers for highly efficient solubilization of insoluble drugR01CA134951 · NCI · NORTHEASTERN UNIVERSITY · PI TORCHILIN, VLADIMIR P · 2010 to 2013
$1.3M
NCI NIH HHS R01 CA134951
6 · The paper itself

Abstract

150-200 nm diameter capsules containing 60-70 wt % of poorly soluble drugs, paclitaxel and camptothecin, were produced by layer-by-layer (LbL) assembly on drug nanocores in a solution containing uncharged stabilizers. Optimization of capsule shell architecture and thickness allowed for concentrated (3-5 mg/mL) colloids that are stable in isotonic salt buffers. Nanoparticle aggregation during the washless LbL-assembly was prevented by using low molecular weight block-copolymers of poly(amino acids) (poly-L-lysine and poly-L-glutamic acid) with polyethylene glycol (PEG) in combination with heparin and bovine serum albumin at every bilayer building step. Minimal amounts of the polyelectrolytes were used to recharge the surface of nanoparticles in this non-washing LbL process. Such PEGylated shells resulted in drug nanocapsules with high colloidal stability in PBS buffer and increased protein adhesion resistance. The washless LbL polyelectrolyte nanocapsule assembly process, colloidal stability and nanoparticle morphology were monitored by dynamic light scattering and electrophoretic mobility measurements, UV-vis spectroscopy, TEM, SEM and laser confocal microscopy imaging.

Identifiers

PMID23144650
PMCPMC3490450

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Registered trials

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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.