Evidence map›Paper›PMID 20922813›Full record

ArticleJournal of pharmaceutical sciences2011

Controlling ligand surface density optimizes nanoparticle binding to ICAM-1.

Amir Fakhari, Abdulgader Baoum, Teruna J Siahaan, Khoi Ba Le, Cory Berkland

Abstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Equip your vehicle for the right terrain: Using features of local pathology to guide engineering of targeted drug delivery systems.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Biomedical nanoparticle design: What we can learn from viruses.Journal of controlled release : official journal of the Controlled Release Society · 2021
    Review
  9. Intertwined mechanisms define transport of anti-ICAM nanocarriers across the endothelium and brain delivery of a therapeutic enzyme.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Article
  10. Article
  11. Article
  12. Precision engineering of targeted nanocarriers.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2018
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Addressing challenges of heterogeneous tumor treatment through bispecific protein-mediated pretargeted drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Review
  20. Targeted endothelial nanomedicine for common acute pathological conditions.Journal of controlled release : official journal of the Controlled Release Society · 2015
    Review
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.

Amir FakhariBioengineering Graduate Program, University of Kansas, Lawrence, Kansas 66045, USA.
Abdulgader Baoum
Teruna J Siahaan
Khoi Ba Le
Cory Berkland

Funding

XRAY CRYSTALLOGRAPHY CORE (JANUARY 1 - JUNE 30, 2005)P20RR016443 · NCRR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI VINES, CHARLOTTE M · 2001 to 2010
$21.3M
PHARMACEUTICAL ASPECTS OF BIOTECHNOLOGY TRAININGT32GM008359 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI SIAHAAN, TERUNA J., VOLKIN, DAVID · 1989 to 2018
$5.0M
Targeting and Internalization Mechanism of LFA-1R01AI063002 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI SIAHAAN, TERUNA J. · 2005 to 2008
$1.1M
Nanoparticle targeting of ICAM-1 as a potential treatment for Rheumatoid ArthritiR03AR054035 · NIAMS · UNIVERSITY OF KANSAS LAWRENCE · PI BERKLAND, CORY · 2007 to 2009
$205k
NCRR NIH HHS P20 RR016443NIAID NIH HHS R01-AI-063002NIAMS NIH HHS R03 AR054035NIGMS NIH HHS T32 GM08359-20
6 · The paper itself

Abstract

During infection, pathogens utilize surface receptors to gain entry into intracellular compartments. Multiple receptor-ligand interactions that lead to pathogen internalization have been identified and the importance of multivalent ligand binding as a means to facilitate internalization has emerged. The effect of ligand density, however, is less well known. In this study, ligand density was examined using poly(DL-lactic-co-glycolic acid) nanoparticles (PLGA NPs). A cyclic peptide, cLABL, was used as a targeting moiety, as it is a known ligand for intercellular cell adhesion molecule-1 (ICAM-1). To modulate the number of reactive sites on the surface of PLGA NPs, modified Pluronic with carboxyl groups and Pluronic with hydroxyl groups were combined in different ratios and the particle properties were examined. Utilizing a surfactant mixture directly affected the particle charge and the number of reactive sites for cLABL conjugation. The surface density of cLABL peptide increased as the relative amount of reactive Pluronic was increased. Studies using carcinomic human alveolar basal epithelial cells (A549) showed that cLABL density might be optimized to improve cellular uptake. These results complement other studies, suggesting that surface density of the targeting moiety on the NP surface should be considered to enhance the effect of ligands used for cell targeting.

Indexed as

Cell Line, TumorDrug CarriersDrug Delivery SystemsHumansIntercellular Adhesion Molecule-1Lactic AcidLigandsNanoparticlesParticle SizePeptides, CyclicPoloxamerPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSurface-Active AgentsSurface PropertiesDrug CarriersIntercellular Adhesion Molecule-1Lactic AcidLigandsPeptides, CyclicPoloxamerPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerSurface-Active Agents

Identifiers

PMID20922813
PMCPMC4245447

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.