Evidence map›Paper›PMID 23789958›Full record

ReviewCurrent pharmaceutical design2014

Combinatorial approaches for the identification of brain drug delivery targets.

Charles C Stutz, Xiaobin Zhang, Eric V Shusta

Abstract readReview
In one paragraph

Review in Current pharmaceutical design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Antibody screening using a human iPSC-based blood-brain barrier model identifies antibodies that accumulate in the CNS.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Charles C Stutz
Xiaobin Zhang
Eric V ShustaDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA. shusta@engr.wisc.edu.
University of Wisconsin–Madison · US

Funding

Proteomic Evaluation of the Blood-Brain Barrier Receptor-Mediated TransportomeR01NS071513 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI SHUSTA, ERIC V · 2010 to 2013
$1.1M
NINDS NIH HHS NS071513NINDS NIH HHS R01 NS071513
6 · The paper itself

Abstract

The blood-brain barrier (BBB) represents a large obstacle for the treatment of central nervous system diseases. Targeting endogenous nutrient transporters that transcytose the BBB is one promising approach to selectively and noninvasively deliver a drug payload to the brain. The main limitations of the currently employed transcytosing receptors are their ubiquitous expression in the peripheral vasculature and the inherent low levels of transcytosis mediated by such systems. In this review, approaches designed to increase the repertoire of transcytosing receptors which can be targeted for the purpose of drug delivery are discussed. In particular, combinatorial protein libraries can be screened on BBB cells in vitro or in vivo to isolate targeting peptides or antibodies that can trigger transcytosis. Once these targeting reagents are discovered, the cognate BBB transcytosis system can be identified using techniques such as expression cloning or immunoprecipitation coupled with mass spectrometry. Continued technological advances in BBB genomics and proteomics, membrane protein manipulation, and in vitro BBB technology promise to further advance the capability to identify and optimize peptides and antibodies capable of mediating drug transport across the BBB.

Indexed as

Drug Delivery SystemsHigh-Throughput Screening AssaysAnimalsBlood-Brain BarrierBrainHumansMembrane Transport ProteinsPharmaceutical PreparationsMembrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID23789958
PMCPMC5814116
OpenAlexW1983252772

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.