The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Approaches to transport therapeutic drugs across the blood–brain barrier to treat brain diseases
Open accessAbstract
The central nervous system is protected by barriers which control the entry of compounds into the brain, thereby regulating brain homeostasis. The blood-brain barrier, formed by the endothelial cells of the brain capillaries, restricts access to brain cells of blood-borne compounds and facilitates nutrients essential for normal metabolism to reach brain cells. This very tight regulation of the brain homeostasis results in the inability of some small and large therapeutic compounds to cross the blood-brain barrier (BBB). Therefore, various strategies are being developed to enhance the amount and concentration of therapeutic compounds in the brain. In this review, we will address the different approaches used to increase the transport of therapeutics from blood into the brain parenchyma. We will mainly concentrate on the physiologic approach which takes advantage of specific receptors already expressed on the capillary endothelial cells forming the BBB and necessary for the survival of brain cells. Among all the approaches used for increasing brain delivery of therapeutics, the most accepted method is the use of the physiological approach which takes advantage of the transcytosis capacity of specific receptors expressed at the BBB. The low density lipoprotein receptor related protein (LRP) is the most adapted for such use with the engineered peptide compound (EPiC) platform incorporating the Angiopep peptide in new therapeutics the most advanced with promising data in the clinic.
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
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Transvascular delivery of small interfering RNA to the central nervous system
Kumar, P., Wu, H., McBride, J. L., Jung, K.-E., Hee Kim, M., Davidson, B. L., Kyung Lee, S., Shankar, P., & Manjunath, N. (2007) · Nature · doi:10.1038/nature05901 · Cited by 1,246
Marks, W. J., Ostrem, J. L., Verhagen, L., Starr, P. A., Larson, P. S., Bakay, R. A., Taylor, R., Cahn-Weiner, D. A., Stoessl, A. J., Olanow, C. W., et al. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70065-6 · Cited by 596
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
Self-citationBlood–Brain Barrier Transport of Therapeutics via Receptor-Mediation
Jones, A. R., & Shusta, E. V. (2007) · Pharmaceutical Research · doi:10.1007/s11095-007-9379-0 · Cited by 549
shRNA and siRNA delivery to the brain
Pardridge, W. M. (2007) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2007.03.008 · Cited by 176
Cited by
Transport of drugs across the blood–brain barrier by nanoparticles.
Wohlfart, S., Gelperina, S., & Kreuter, J. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2011.08.017 · Cited by 715
Overcoming the Blood–Brain Barrier: The Role of Nanomaterials in Treating Neurological Diseases
Furtado, D., Björnmalm, M., Ayton, S., Bush, A. I., Kempe, K., & Caruso, F. (2018) · Advanced Materials · doi:10.1002/adma.201801362 · Cited by 708
Astrocyte–neuron metabolic relationships: for better and for worse
Allaman, I., Bélanger, M., & Magistretti, P. J. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2010.12.001 · Cited by 639
Quest for Novel Chemical Entities through Incorporation of Silicon in Drug Scaffolds
Ramesh, R., & Reddy, D. S. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00718 · Cited by 624
Nanomaterial-based blood-brain-barrier (BBB) crossing strategies
Xie, J., Shen, Z., Anraku, Y., Kataoka, K., & Chen, X. (2019) · Biomaterials · doi:10.1016/j.biomaterials.2019.119491 · Cited by 604
Metadata
- Authors
- Gabathuler, R.
- Venue
- Neurobiology of Disease
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 37
- Issue
- 1
- Pages
- 48-57
- ISSN
- 0969-9961 (ISSN-L)
- OpenAlex
- W2018522439
- Cited by
- 802
- References
- 6
- FWCI
- 12.62
- 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: Approaches to transport therapeutic drugs across the blood–brain barrier to treat brain diseases. https://app.cochat.ai/papers/10.1016/j.nbd.2009.07.028
- The paper
- Gabathuler, R. (2010). Approaches to transport therapeutic drugs across the blood–brain barrier to treat brain diseases. Neurobiology of Disease. https://doi.org/10.1016/j.nbd.2009.07.028
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.