Evidence map›Paper›PMID 28202920›Full record

ReviewNature reviews. Rheumatology2017

Cartilage-targeting drug delivery: can electrostatic interactions help?

Ambika G Bajpayee, Alan J Grodzinsky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing 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

158 citing papers in PubMed.

  1. Review
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  12. Review
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  18. Dose-Dependent, Biomechanical Recovery of Permeability Ex Vivo in GAG-Depleted Cartilage With a Synthetic Polyelectrolyte, Polystyrene Sulfonate.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  19. Article
  20. Review

98 more citing papers are in PubMed but not listed here.

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

2 authors.

Ambika G BajpayeeDepartment of Bioengineering, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, USA.
Alan J GrodzinskyDepartments of Biological Engineering, Mechanical Engineering, and Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, Massachusetts 02139, USA.

Funding

Cartilage Repair Using Self Assembling Peptide ScaffoldsR01AR060331 · NIAMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRODZINSKY, ALAN J. · 2012 to 2016
$1.7M
6 · The paper itself

Abstract

Current intra-articular drug delivery methods do not guarantee sufficient drug penetration into cartilage tissue to reach cell and matrix targets at the concentrations necessary to elicit the desired biological response. Here, we provide our perspective on the utilization of charge-charge (electrostatic) interactions to enhance drug penetration and transport into cartilage, and to enable sustained binding of drugs within the tissue's highly negatively charged extracellular matrix. By coupling drugs to positively charged nanocarriers that have optimal size and charge, cartilage can be converted from a drug barrier into a drug reservoir for sustained intra-tissue delivery. Alternatively, a wide variety of drugs themselves can be made cartilage-penetrating by functionalizing them with specialized positively charged protein domains. Finally, we emphasize that appropriate animal models, with cartilage thickness similar to that of humans, must be used for the study of drug transport and retention in cartilage.

Indexed as

Static ElectricityAnimalsAnti-Inflammatory AgentsCartilageDisease Models, AnimalDrug CarriersDrug Delivery SystemsHumansInjections, Intra-ArticularOsteoarthritisAnti-Inflammatory AgentsDrug Carriers

Identifiers

What OpenQuestion holds

Textmetadata
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.