Evidence map›Paper›PMID 37338461›Full record

ReviewJournal of biomechanical engineering2023

Measurement and Modeling of Transport Across the Blood-Brain Barrier.

Hanwen Fan, Qi Cai, Zhenpeng Qin

Open access · greenAbstract readReview
In one paragraph

Review in Journal of biomechanical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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.

Hanwen FanDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080.
Qi CaiDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080.
Zhenpeng QinDepartment of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080; Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080; Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390; Center for Advanced Pain Studies, The University of Texas at Dallas, Richardson, TX 75080.ORCID 0000-0003-3406-3045
The University of Texas at Dallas · US

Funding

Optical Control of Protein Activity in Live Cells by Plasmon Assisted Light InactivationR35GM133653 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG · 2019 to 2023
$2.2M
NIGMS NIH HHS R35 GM133653
6 · The paper itself

Abstract

The blood-brain barrier (BBB) is a dynamic regulatory barrier at the interface of blood circulation and the brain parenchyma, which plays a critical role in protecting homeostasis in the central nervous system. However, it also significantly impedes drug delivery to the brain. Understanding the transport across BBB and brain distribution will facilitate the prediction of drug delivery efficiency and the development of new therapies. To date, various methods and models have been developed to study drug transport at the BBB interface, including in vivo brain uptake measurement methods, in vitro BBB models, and mathematic brain vascular models. Since the in vitro BBB models have been extensively reviewed elsewhere, we provide a comprehensive summary of the brain transport mechanisms and the currently available in vivo methods and mathematic models in studying the molecule delivery process at the BBB interface. In particular, we reviewed the emerging in vivo imaging techniques in observing drug transport across the BBB. We discussed the advantages and disadvantages associated with each model to serve as a guide for model selection in studying drug transport across the BBB. In summary, we envision future directions to improve the accuracy of mathematical models, establish noninvasive in vivo measurement techniques, and bridge the preclinical studies with clinical translation by taking the altered BBB physiological conditions into consideration. We believe these are critical in guiding new drug development and precise drug administration in brain disease treatment.

Indexed as

Blood-Brain BarrierBrainBiological TransportHomeostasisModels, Theoretical

Identifiers

PMID37338461
PMCPMC10321147
OpenAlexW4381308390

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.