Evidence map›Paper›PMID 21399713›Full record

ArticleJournal of nanoscience and nanotechnology2011

Modeling particle shape-dependent dynamics in nanomedicine.

Samar Shah, Yaling Liu, Walter Hu, Jinming Gao

Abstract read
In one paragraph

Article in Journal of nanoscience and nanotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Review
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  7. Overcoming biological barriers to improve solid tumor immunotherapy.Drug delivery and translational research · 2021
    Review
  8. Article
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  14. Review
  15. Article
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  17. Assembling responsive microgels at responsive lipid membranes.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Samar ShahDepartment of Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Yaling Liu
Walter Hu
Jinming Gao

Funding

Modeling Particle Shape Effect in NanomedicineR03EB009786 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI LIU, YALING · 2009 to 2010
$144k
NIBIB NIH HHS EB009786NIBIB NIH HHS R03 EB009786
6 · The paper itself

Abstract

One of the major challenges in nanomedicine is to improve nanoparticle cell selectivity and adhesion efficiency through designing functionalized nanoparticles of controlled sizes, shapes, and material compositions. Recent data on cylindrically shaped filomicelles are beginning to show that non-spherical particles remarkably improved the biological properties over spherical counterpart. Despite these exciting advances, non-spherical particles have not been widely used in nanomedicine applications due to the lack of fundamental understanding of shape effect on targeting efficiency. This paper intends to investigate the shape-dependent adhesion kinetics of non-spherical nanoparticles through computational modeling. The ligand-receptor binding kinetics is coupled with Brownian dynamics to study the dynamic delivery process of nanorods under various vascular flow conditions. The influences of nanoparticle shape, ligand density, and shear rate on adhesion probability are studied. Nanorods are observed to contact and adhere to the wall much easier than their spherical counterparts under the same configuration due to their tumbling motion. The binding probability of a nanorod under a shear rate of 8 s(-1) is found to be three times higher than that of a nanosphere with the same volume. The particle binding probability decreases with increased flow shear rate and channel height. The Brownian motion is found to largely enhance nanoparticle binding. Results from this study contribute to the fundamental understanding and knowledge on how particle shape affects the transport and targeting efficiency of nanocarriers, which will provide mechanistic insights on the design of shape-specific nanomedicine for targeted drug delivery applications.

Indexed as

AdhesivenessDrug Delivery SystemsHydrodynamicsKineticsLigandsModels, MolecularNanomedicineNanoparticlesParticle SizeLigandsAdhesion kineticsBrownian dynamicsImmersed finite element methodnanomedicinenanorod

Identifiers

PMID21399713
PMCPMC3050532

What OpenQuestion holds

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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.