Evidence map›Paper›PMID 34846580›Full record

ReviewNano convergence2021

Quantifying and controlling bond multivalency for advanced nanoparticle targeting to cells.

Elliot Y Makhani, Ailin Zhang, Jered B Haun

Abstract readReview
In one paragraph

Review in Nano convergence, 2021. 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
–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

18 citing papers in PubMed.

  1. Single-ligand dual-targeting lipid nanoparticles for therapeutic mRNA delivery to glioblastoma across the blood-brain barrier.Journal of controlled release : official journal of the Controlled Release Society · 2026
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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

3 authors.

Elliot Y Makhani *Department of Materials Science and Engineering, University of California Irvine, Irvine, CA, 92697, USA.
Ailin Zhang *Department of Biomedical Engineering, University of California Irvine, 3107 Natural Sciences II, Irvine, CA, 92697, USA.
Jered B HaunDepartment of Materials Science and Engineering, University of California Irvine, Irvine, CA, 92697, USA. jered.haun@uci.edu.ORCID http://orcid.org/0000-0002-6095-1778

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
Harnessing the biophysics of multivalent nanoparticle adhesion to control cell targeting and internalizationR21EB027883 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI HAUN, JERED BRACKSTON · 2020 to 2020
$225k
Division of Chemical, Bioengineering, Environmental, and Transport Systems 1929565NCI NIH HHS P30 CA062203NCI NIH HHS P30CA062203NIBIB NIH HHS 1R21EB027883NIBIB NIH HHS R21 EB027883
6 · The paper itself

Abstract

Nanoparticles have drawn intense interest as delivery agents for diagnosing and treating various cancers. Much of the early success was driven by passive targeting mechanisms such as the enhanced permeability and retention (EPR) effect, but this has failed to lead to the expected clinical successes. Active targeting involves binding interactions between the nanoparticle and cancer cells, which promotes tumor cell-specific accumulation and internalization. Furthermore, nanoparticles are large enough to facilitate multiple bond formation, which can improve adhesive properties substantially in comparison to the single bond case. While multivalent binding is universally believed to be an attribute of nanoparticles, it is a complex process that is still poorly understood and difficult to control. In this review, we will first discuss experimental studies that have elucidated roles for parameters such as nanoparticle size and shape, targeting ligand and target receptor densities, and monovalent binding kinetics on multivalent nanoparticle adhesion efficiency and cellular internalization. Although such experimental studies are very insightful, information is limited and confounded by numerous differences across experimental systems. Thus, we focus the second part of the review on theoretical aspects of binding, including kinetics, biomechanics, and transport physics. Finally, we discuss various computational and simulation studies of nanoparticle adhesion, including advanced treatments that compare directly to experimental results. Future work will ideally continue to combine experimental data and advanced computational studies to extend our knowledge of multivalent adhesion, as well as design the most powerful nanoparticle-based agents to treat cancer.

Indexed as

Bond biophysicsMultivalent adhesionsNanoparticleSimulationTargeting

Identifiers

PMID34846580
PMCPMC8633263

What OpenQuestion holds

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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.