The DOI matches its Crossref record; 123 of the 124 references it cites were found in a registry or an index.
Targeting Receptor-Mediated Transport for Delivery of Biologics Across the Blood-Brain Barrier
Open accessAbstract
Biologics are an emerging class of medicines with substantial promise to treat neurological disorders such as Alzheimer's disease, stroke, and multiple sclerosis. However, the blood-brain barrier (BBB) presents a formidable obstacle that appreciably limits brain uptake and hence the therapeutic potential of biologics following intravenous administration. One promising strategy for overcoming the BBB to deliver biologics is the targeting of endogenous receptor-mediated transport (RMT) systems that employ vesicular trafficking to transport ligands across the BBB endothelium. If a biologic is modified with an appropriate targeting ligand, it can gain improved access to the brain via RMT. Various RMT-targeting strategies have been developed over the past 20 years, and this review explores exciting recent advances, emphasizing studies that show brain targeting in vivo.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Nanoparticle-based drug delivery systems aim to overcome these challenges by exploiting specialized BBB transport mechanisms, primarily receptor-mediated transcytosis (RMT) and adsorptive-mediated transcytosis (AMT) [8, 9].”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“AMT is based on electrostatic interactions between positively charged NPs and the negatively charged luminal surface of endothelial cell membranes, primarily due to the presence of heparan sulfate proteoglycans and other anionic residues [8].”
From Targeted Nanoparticles for Drug Delivery Across the Blood–Brain Barrier in Early and Late Stages of Alzheimer's Disease: A Review (2026) · cites this paper as [8]
Experimental — accuracy not yet measured
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
Structure and function of the blood–brain barrier
Abbott, N. J., Patabendige, A. A. K., Dolman, D. E. M., Yusof, S. R., & Begley, D. J. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.07.030 · Cited by 5,185
Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes
Alvarez-Erviti, L., Seow, Y., Yin, H., Betts, C., Lakhal, S., & Wood, M. J. A. (2011) · Nature Biotechnology · doi:10.1038/nbt.1807 · Cited by 4,930
The blood-brain barrier: Bottleneck in brain drug development
Pardridge, W. M. (2005) · NeuroRX · doi:10.1602/neurorx.2.1.3 · Cited by 2,798
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
Pardridge, W. M. (2007) · Drug Discovery Today · doi:10.1016/j.drudis.2006.10.013 · Cited by 1,191
Targeted Drug Delivery via the Transferrin Receptor-Mediated Endocytosis Pathway
Qian, Z., Li, H., Sun, H., & Ho, K. (2002) · Pharmacological Reviews · doi:10.1124/pr.54.4.561 · Cited by 1,035
Quantitative targeted absolute proteomics of human blood-brain barrier transporters and receptors
Uchida, Y., Ohtsuki, S., Katsukura, Y., Ikeda, C., Suzuki, T., Kamiie, J., & Terasaki, T. (2011) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07208.x · Cited by 881
Boosting Brain Uptake of a Therapeutic Antibody by Reducing Its Affinity for a Transcytosis Target
Yu, Y. J., Zhang, Y., Kenrick, M., Hoyte, K., Luk, W., Lu, Y., Atwal, J., Elliott, J. M., Prabhu, S., Watts, R. J., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002230 · Cited by 794
The blood–brain barrier in health and disease
Daneman, R. (2012) · Annals of Neurology · doi:10.1002/ana.23648 · Cited by 794
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
Research works printed but not linked: 4
- Descamps L, 1996, Am. J. Physiol., 270, H1149
- Brooks DA, 2009, Int. J. Clin. Pharmacol. Ther., 47, S9
- Kelaita D, 2013, ArmaGen Pipeline
- 10.1016/j.addr.2003.12.003 · DOI
Cited by
Sorted by citations
Trends in peptide drug discovery
Muttenthaler, M., King, G. F., Adams, D. J., & Alewood, P. F. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-00135-8 · Cited by 2,074
The blood–brain barrier and blood–tumour barrier in brain tumours and metastases
Arvanitis, C., Ferraro, G. B., & Jain, R. K. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0205-x · Cited by 1,919
The therapeutic potential of nanobodies
Jovčevska, I., & Muyldermans, S. (2020) · BioDrugs · doi:10.1007/s40259-019-00392-z · Cited by 749
The blood-brain barrier: Physiology and strategies for drug delivery
Pandit, R., Chen, L., & Götz, J. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.11.009 · Cited by 651
Overcoming blood–brain barrier transport: Advances in nanoparticle-based drug delivery strategies
Ding, S., Khan, A. I., Cai, X., Song, Y., Lyu, Z., Du, D., Dutta, P., & Lin, Y. (2020) · Materials Today · doi:10.1016/j.mattod.2020.02.001 · Cited by 468
Metadata
- Authors
- Lajoie, J. M., & Shusta, E. V.
- Affiliations
- University of Wisconsin–Madison (US)
- ORCID
- Shusta, Eric V.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2015-01-06
- Volume
- 55
- Issue
- 1
- Pages
- 613-631
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- PMC
- PMC5051266
- OpenAlex
- W2169055592
- Cited by
- 399
- References
- 124
- Citations by year
- 2026: 23 · 2025: 35 · 2024: 43 · 2023: 41 · 2022: 52 · 2021: 49 · 2020: 42 · 2019: 30 · 2018: 36 · 2017: 22 · 2016: 21 · 2015: 5
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annual Review of Pharmacology and Toxicology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (T32HG002760)
- National Institute of General Medical Sciences (T32GM008349)
- National Institute of Neurological Disorders and Stroke (R01NS071513)
- Topics
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Keywords
- blood-brain barrier, receptor-mediated transport, biologics, BBB crossing, vesicle trafficking, targeting ligands, neurological disorders, Alzheimer's disease, stroke, multiple sclerosis
- MeSH terms
- Animals, Biological Products, Biological Transport, Blood-Brain Barrier, Capillary Permeability, Chemistry, Pharmaceutical, Drug Carriers, Humans, Receptors, Cell Surface, Technology, Pharmaceutical
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