Evidence map›Paper›PMID 38794236›Full record

ArticlePharmaceutics2024

Evaluation of Drug Blood-Brain-Barrier Permeability Using a Microfluidic Chip.

Jung Yoon Yang, Dae-Seop Shin, Moonkyu Jeong, Seong Soon Kim, Ha Neul Jeong, Byung Hoi Lee, Kyu-Seok Hwang, Yuji Son, Hyeon-Cheol Jeong, Chi-Hoon Choi and 2 more

Abstract read
In one paragraph

Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
  7. Article
  8. Translational Geroscience Strategies for Delaying Multimorbidity.ACS pharmacology & translational science · 2026
    Review
  9. HumanBioactive materials · 2026
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Modular cone-and-plate device for mechanofluidic assays in Transwell inserts.Frontiers in bioengineering and biotechnology · 2025
    Article
  15. 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

12 authors.

Jung Yoon YangTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Dae-Seop ShinTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.ORCID 0000-0002-6641-5028
Moonkyu JeongDepartment of Bioengineering, University of Science and Technology, Daejeon 34113, Republic of Korea.ORCID 0009-0006-5553-698X
Seong Soon KimTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.ORCID 0000-0002-4762-8693
Ha Neul JeongTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Byung Hoi LeeTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Kyu-Seok HwangTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.ORCID 0000-0003-4606-1354
Yuji SonTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.
Hyeon-Cheol JeongLaboratory Animal Resource & Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju 28116, Republic of Korea.
Chi-Hoon ChoiDepartment of Radiology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju 28644, Republic of Korea.
Kyeong-Ryoon LeeDepartment of Bioengineering, University of Science and Technology, Daejeon 34113, Republic of Korea.ORCID 0000-0003-2175-8876
Myung Ae BaeTherapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon 34114, Republic of Korea.

Funding

Korea Ministry of Trade, Industry and Energy (MOTIE) and Chungcheongbukdo P0017143Korea Research Institute of Chemical Technology SI2231-40Research Institute of Bioscience and Biotechnology KGM1072311
6 · The paper itself

Abstract

The blood-brain-barrier (BBB) is made up of blood vessels whose permeability enables the passage of some compounds. A predictive model of BBB permeability is important in the early stages of drug development. The predicted BBB permeabilities of drugs have been confirmed using a variety of in vitro methods to reduce the quantities of drug candidates needed in preclinical and clinical trials. Most prior studies have relied on animal or cell-culture models, which do not fully recapitulate the human BBB. The development of microfluidic models of human-derived BBB cells could address this issue. We analyzed a model for predicting BBB permeability using the Emulate BBB-on-a-chip machine. Ten compounds were evaluated, and their permeabilities were estimated. Our study demonstrated that the permeability trends of ten compounds in our microfluidic-based system resembled those observed in previous animal and cell-based experiments. Furthermore, we established a general correlation between the partition coefficient (Kp) and the apparent permeability (Papp). In conclusion, we introduced a new paradigm for predicting BBB permeability using microfluidic-based systems.

Indexed as

BBBmicrofluidic chipphysiologically based pharmacokinetic modeling

Identifiers

PMID38794236
PMCPMC11125197

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Registered trials

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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.