Evidence map›Paper›PMID 28754465›Full record

ArticleNanomedicine : nanotechnology, biology, and medicine2017

Evaluation of pharmacokinetic and pharmacodynamic profiles of liposomes for the cell type-specific delivery of small molecule drugs.

Siva Sai Krishna Dasa, Ryo Suzuki, Emily Mugler, Lanlin Chen, Rasmus Jansson-Löfmark, Erik Michaëlsson, Lennart Lindfors, Alexander L Klibanov, Brent A French, Kimberly A Kelly

Open access · greenAbstract read
In one paragraph

Article in Nanomedicine : nanotechnology, biology, and medicine, 2017. 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
0.9field-weighted citation impact, top 29% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

10 authors at 3 institutions in 3 countries.

Siva Sai Krishna DasaRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA. Electronic address: sd7nf@virginia.edu.
Ryo SuzukiLaboratory of Drug and Gene Delivery System, Faculty of Pharma-Sciences, Teikyo University, Tokyo, Japan.
Emily MuglerDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Lanlin ChenDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Rasmus Jansson-LöfmarkCVMD DMPK, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Mölndal, Sweden.
Erik MichaëlssonCVMD Heart Failure Bioscience, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Mölndal, Sweden.
Lennart LindforsPharmaceutical Development, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Mölndal, Sweden.
Alexander L KlibanovRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA.
Brent A FrenchRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA, USA.
Kimberly A KellyRobert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
University of Virginia · USAstraZeneca (Sweden) · SETeikyo University · JP

Funding

Highly Specific and Efficient Vectors for Targeting Pancreatic CancerR01CA168712 · NCI · UNIVERSITY OF VIRGINIA · PI FRENCH, BRENT A, KELLY, KIMBERLY A. · 2014 to 2017
$2.0M
Multi-parameter CMR of post-MI Left Ventricular Remodeling in Gene Modified MiceR01HL115225 · NHLBI · UNIVERSITY OF VIRGINIA · PI FRENCH, BRENT A · 2013 to 2016
$1.5M
American Heart Association-American Stroke Association 13POST16920031NCI NIH HHS R01 CA168712NHLBI NIH HHS R01 HL115225
6 · The paper itself

Abstract

Liposome-based drug formulations represent an exciting avenue of research as they increase efficacy to toxicity ratios. Current formulations rely on passive accumulation to the disease site where drug is taken up by the cells. Ligand mediated targeting increases the net accumulation of liposomes, however, an unexplored benefit is to potentially refine pharmacodynamics (PD) of a drug specifically to different cell types within diseased tissue. As a model system, we engineered cardiomyocyte- (I-1) and endothelial-targeted (B-40) liposomes to carry a VEGFR2 inhibitor (PTK787), and examined the effect of cell type-specific delivery on both pharmacokinetics (PK) and PD. Neovascularization in post-myocardial infarction was significantly reduced by B-40 liposomes loaded with PTK787 as compared to animals injected with I-1 liposomes, and profoundly more as compared to free PTK787. This study thus shows that the intraorgan targeting of drugs through cell type-specific delivery holds substantial promise towards lowering the minimal efficacious dose administered systemically.

Indexed as

AnimalsDrug Delivery SystemsLiposomesMiceMyocardial InfarctionNeovascularization, PathologicPeptide LibraryPeptidesPhthalazinesProtein Kinase InhibitorsPyridinesVascular Endothelial Growth Factor Receptor-2LiposomesPeptide LibraryPeptidesPhthalazinesProtein Kinase InhibitorsPyridinesVascular Endothelial Growth Factor Receptor-2vatalanibDrug deliveryMyocardial infarctionPhage displayPharmacodynamicsPharmacokinetics

Identifiers

PMID28754465
PMCPMC5673558
OpenAlexW2737009089

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.