Evidence map›Paper›PMID 37217193›Full record

ArticleJournal of medicinal chemistry2023

Explaining Blood-Brain Barrier Permeability of Small Molecules by Integrated Analysis of Different Transport Mechanisms.

Fleur M G Cornelissen, Greta Markert, Ghislaine Deutsch, Maria Antonara, Noa Faaij, Imke Bartelink, David Noske, W Peter Vandertop, Andreas Bender, Bart A Westerman

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Review
  3. The neuroimmune-glutamate hypothesis of addiction.Neuroscience and biobehavioral reviews · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. FungalInternational journal of molecular sciences · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
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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

10 authors.

Fleur M G CornelissenDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
Greta MarkertYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K.ORCID 0000-0001-5254-5596
Ghislaine DeutschDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
Maria AntonaraDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
Noa FaaijDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
Imke BartelinkDepartment of Pharmacy, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
David NoskeDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
W Peter VandertopDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.
Andreas BenderYusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge CB2 1EW, U.K.ORCID 0000-0002-6683-7546
Bart A WestermanDepartment of Neurosurgery, Amsterdam UMC, location VUMC, Cancer Center, Amsterdam 1105, AZ, the Netherlands.ORCID 0000-0002-9898-9616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The blood-brain barrier (BBB) represents a major obstacle to delivering drugs to the central nervous system (CNS), resulting in the lack of effective treatment for many CNS diseases including brain cancer. To accelerate CNS drug development, computational prediction models could save the time and effort needed for experimental evaluation. Here, we studied BBB permeability focusing on active transport (influx and efflux) as well as passive diffusion using previously published and self-curated data sets. We created prediction models based on physicochemical properties, molecular substructures, or their combination to understand which mechanisms contribute to BBB permeability. Our results show that features that predicted passive diffusion over membranes overlap with features that explain endothelial permeation of approved CNS-active drugs. We also identified physical properties and molecular substructures that positively or negatively predicted BBB transport. These findings provide guidance toward identifying BBB-permeable compounds by optimally matching physicochemical and molecular properties to BBB transport mechanisms.

Indexed as

Blood-Brain BarrierCentral Nervous SystemBiological TransportCentral Nervous System AgentsDiffusionPermeabilityCentral Nervous System Agents

Identifiers

PMID37217193
PMCPMC10259449

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.