Evidence map›Paper›PMID 37271282›Full record

ReviewAdvanced drug delivery reviews2023

Storming the gate: New approaches for targeting the dynamic tight junction for improved drug delivery.

Isabela Ramirez-Velez, Brian Belardi

Open access · greenAbstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  18. A short guide to the tight junction.Journal of cell science · 2024
    Review
  19. 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

2 authors at 1 institution in 1 country.

Isabela Ramirez-VelezMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712, United States.
Brian BelardiMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX 78712, United States. Electronic address: bdb@che.utexas.edu.
The University of Texas at Austin · US

Funding

A Molecular Toolkit for Controlling and Probing Cell Junction-Actin InteractionsR35GM142941 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BELARDI, BRIAN · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM142941
6 · The paper itself

Abstract

As biologics used in the clinic outpace the number of new small molecule drugs, an important challenge for their efficacy and widespread use has emerged, namely tissue penetrance. Macromolecular drugs - bulky, high-molecular weight, hydrophilic agents - exhibit low permeability across biological barriers. Epithelial and endothelial layers, for example within the gastrointestinal tract or at the blood-brain barrier, present the most significant obstacle to drug transport. Within epithelium, two subcellular structures are responsible for limiting absorption: cell membranes and intercellular tight junctions. Previously considered impenetrable to macromolecular drugs, tight junctions control paracellular flux and dictate drug transport between cells. Recent work, however, has shown tight junctions to be dynamic, anisotropic structures that can be targeted for delivery. This review aims to summarize new approaches for targeting tight junctions, both directly and indirectly, and to highlight how manipulation of tight junction interactions may help usher in a new era of precision drug delivery.

Indexed as

Intercellular JunctionsTight JunctionsBiological TransportDrug Delivery SystemsEpitheliumHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID37271282
PMCPMC10999255
OpenAlexW4379115224

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.