Evidence map›Paper›PMID 27429783›Full record

ArticleRoyal Society open science2016

Biophysically inspired model for functionalized nanocarrier adhesion to cell surface: roles of protein expression and mechanical factors.

N Ramakrishnan, Richard W Tourdot, David M Eckmann, Portonovo S Ayyaswamy, Vladimir R Muzykantov, Ravi Radhakrishnan

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Rational nanoparticle design: Optimization using insights from experiments and mathematical models.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Biophysics of membrane curvature remodeling at molecular and mesoscopic lengthscales.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Effect of wall-mediated hydrodynamic fluctuations on the kinetics of a Brownian nanoparticle.Proceedings. Mathematical, physical, and engineering sciences · 2016
    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

6 authors at 2 institutions in 1 country.

N RamakrishnanDepartment of Bioengineering , University of Pennsylvania , Philadelphia, PA 19104, USA.
Richard W TourdotDepartment of Chemical and Biomolecular Engineering , University of Pennsylvania , Philadelphia, PA 19104, USA.
David M EckmannDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA 19104, USA.
Portonovo S AyyaswamyDepartment of Mechanical Engineering and Applied Mechanics , University of Pennsylvania , Philadelphia, PA 19104, USA.
Vladimir R MuzykantovCenter for Targeted Therapeutics and Translational Nanomedicine, Institute for Translational Medicine and Therapeutics and Department of Pharmacology, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Translational Research Center, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ravi RadhakrishnanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA.
University of Pennsylvania · USTarget (United States) · US

Funding

Targeted Microcarrier Design and OptimizationR01EB006818 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M · 2008 to 2016
$3.3M
Bridging multiple scales in modeling targeted drug nanocarrier deliveryU01EB016027 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M, RADHAKRISHNAN, RAVI · 2013 to 2017
$2.7M
NIBIB NIH HHS R01 EB006818NIBIB NIH HHS U01 EB016027
6 · The paper itself

Abstract

In order to achieve selective targeting of affinity-ligand coated nanoparticles to the target tissue, it is essential to understand the key mechanisms that govern their capture by the target cell. Next-generation pharmacokinetic (PK) models that systematically account for proteomic and mechanical factors can accelerate the design, validation and translation of targeted nanocarriers (NCs) in the clinic. Towards this objective, we have developed a computational model to delineate the roles played by target protein expression and mechanical factors of the target cell membrane in determining the avidity of functionalized NCs to live cells. Model results show quantitative agreement with in vivo experiments when specific and non-specific contributions to NC binding are taken into account. The specific contributions are accounted for through extensive simulations of multivalent receptor-ligand interactions, membrane mechanics and entropic factors such as membrane undulations and receptor translation. The computed NC avidity is strongly dependent on ligand density, receptor expression, bending mechanics of the target cell membrane, as well as entropic factors associated with the membrane and the receptor motion. Our computational model can predict the in vivo targeting levels of the intracellular adhesion molecule-1 (ICAM1)-coated NCs targeted to the lung, heart, kidney, liver and spleen of mouse, when the contributions due to endothelial capture are accounted for. The effect of other cells (such as monocytes, etc.) do not improve the model predictions at steady state. We demonstrate the predictive utility of our model by predicting partitioning coefficients of functionalized NCs in mice and human tissues and report the statistical accuracy of our model predictions under different scenarios.

Indexed as

excess areafunctionalized nanocarriermembrane biophysics

Identifiers

PMID27429783
PMCPMC4929918
OpenAlexW2467003225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.