The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Blood–brain-barrier organoids for investigating the permeability of CNS therapeutics
Open accessAbstract
In vitro models of the blood–brain barrier (BBB) are critical tools for the study of BBB transport and the development of drugs that can reach the CNS. Brain endothelial cells grown in culture are often used to model the BBB; however, it is challenging to maintain reproducible BBB properties and function. ‘BBB organoids’ are obtained following coculture of endothelial cells, pericytes and astrocytes under low-adhesion conditions. These organoids reproduce many features of the BBB, including the expression of tight junctions, molecular transporters and drug efflux pumps, and hence can be used to model drug transport across the BBB. This protocol provides a comprehensive description of the techniques required to culture and maintain BBB organoids. We also describe two separate detection approaches that can be used to analyze drug penetration into the organoids: confocal fluorescence microscopy and mass spectrometry imaging. Using our protocol, BBB organoids can be established within 2–3 d. An additional day is required to analyze drug permeability. The BBB organoid platform represents an accurate, versatile and cost-effective in vitro tool. It can easily be scaled to a high-throughput format, offering a tool for BBB modeling that could accelerate therapeutic discovery for the treatment of various neuropathologies. Endothelial cells, pericytes and astrocytes are cocultured to generate organoids that reproduce many features of the blood–brain barrier. This protocol also describes how to analyze drug penetration into the organoids.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Astrocyte-endothelial interactions at the blood-brain barrier
Abbott, N. J., Rönnbäck, L., & Hansson, E. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1824 · Cited by 5,595
The Blood-Brain Barrier in Health and Chronic Neurodegenerative Disorders
Zlokovic, B. V. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.003 · Cited by 3,280
From blood–brain barrier to blood–brain interface: new opportunities for CNS drug delivery
Banks, W. A. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.21 · Cited by 1,204
Tight junctions of the blood–brain barrier
Wolburg, H., & Lippoldt, A. (2002) · Vascular Pharmacology · doi:10.1016/s1537-1891(02)00200-8 · Cited by 1,183
P-Glycoprotein, a gatekeeper in the blood–brain barrier
Schinkel, A. H. (1999) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(98)00085-4 · Cited by 960
Characterization of a microfluidic in vitro model of the blood-brain barrier (μBBB)
Booth, R., & Kim, H. (2012) · Lab on a Chip · doi:10.1039/c2lc40094d · Cited by 739
CNS Delivery Via Adsorptive Transcytosis
Hervé, F., Ghinea, N., & Scherrmann, J.-M. (2008) · The AAPS Journal · doi:10.1208/s12248-008-9055-2 · Cited by 676
Modelling of the blood–brain barrier in drug discovery and development
Cecchelli, R., Berezowski, V., Lundquist, S., Culot, M., Renftel, M., Dehouck, M.-P., & Fenart, L. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2368 · Cited by 618
Demeule, M., Currie, J., Bertrand, Y., Ché, C., Nguyen, T., Régina, A., Gabathuler, R., Castaigne, J., & Béliveau, R. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2008.05492.x · Cited by 557
Griep, L. M., Wolbers, F., de Wagenaar, B., ter Braak, P. M., Weksler, B. B., Romero, I. A., Couraud, P. O., Vermes, I., van der Meer, A. D., & van den Berg, A. (2013) · Biomedical Microdevices · doi:10.1007/s10544-012-9699-7 · Cited by 537
Cited by
Recent Advancements of Nanomedicine in Neurodegenerative Disorders Theranostics
Mukherjee, S., Madamsetty, V. S., Bhattacharya, D., Roy Chowdhury, S., Paul, M. K., & Mukherjee, A. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202003054 · Cited by 152
(2023) · doi:10.1126/sciadv.adg6618 · Cited by 67
In Vitro Models of Biological Barriers for Nanomedical Research
Carton, F., & Malatesta, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23168910 · Cited by 34
Metadata
- Authors
- Bergmann, S., Lawler, S. E., Qu, Y., Fadzen, C. M., Wolfe, J. M., Regan, M. S., Pentelute, B. L., Agar, N. Y. R., & Cho, C.-F.
- Venue
- Nature Protocols
- Published
- 2018-10-31
- Volume
- 13
- Issue
- 12
- Pages
- 2827-2843
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- OpenAlex
- W2898829113
- Cited by
- 285
- References
- 33
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Blood–brain-barrier organoids for investigating the permeability of CNS therapeutics. https://app.cochat.ai/papers/10.1038/s41596-018-0066-x
- The paper
- Bergmann, S., Lawler, S. E., Qu, Y., Fadzen, C. M., Wolfe, J. M., Regan, M. S., Pentelute, B. L., Agar, N. Y. R., & Cho, C.-F. (2018). Blood–brain-barrier organoids for investigating the permeability of CNS therapeutics. Nature Protocols. https://doi.org/10.1038/s41596-018-0066-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.