The DOI matches its Crossref record; 201 of the 203 references it cites were found in a registry or an index.
Targeting receptor-ligand chemistry for drug delivery across blood-brain barrier in brain diseases
Abstract
The blood-brain barrier (BBB) is composed of a layer of endothelial cells that is interspersed with a series of tight junctions and characterized by the absence of fenestrations. The permeability of this barrier is controlled by junctions such as tight junctions and adherent junctions as well as several cells such as astrocytes, pericytes, vascular endothelial cells, neurons, microglia, and efflux transporters with relatively enhanced expression. It plays a major role in maintaining homeostasis in the brain and exerts a protective regulatory control on the influx and efflux of molecules. However, it proves to be a challenge for drug delivery strategies that target brain diseases like Dementia, Parkinson's Disease, Alzheimer's Disease, Brain Cancer or Stroke, Huntington's Disease, Lou Gehrig's Disease, etc. Conventional modes of drug delivery are invasive and have been known to contribute to a "leaky BBB", recent studies have highlighted the efficiency and relative safety of receptor-mediated drug delivery. Several receptors are exhibited on the BBB, and actively participate in nutrient uptake, and recognize specific ligands that modulate the process of endocytosis. The strategy employed in receptor-mediated drug delivery exploits this process of "tricking" the receptors into internalizing ligands that are conjugated to carrier systems like liposomes, nanoparticles, monoclonal antibodies, enzymes etc. These in turn are modified with drug molecules, therefore leading to delivery to desired target cells in brain tissue. This review comprehensively explores each of those receptors that can be modified to serve such purposes as well as the currently employed strategies that have led to increased cellular uptake and transport efficiency.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Transferrin receptor as a glycoprotein, has two subunits of 90 kDa linked by a disulfide bridge, participating in the transcytosis of cellular iron by each subunit is capable of binding to one molecule of transferrin.168”
From The blood–brain barrier: Structure, regulation and drug delivery (2023) · cites this paper as [168]
Citations
Cites
Items 201–201 of 201
Hillmer, A. T., Wooten, D., Farhoud, M., Barnhart, T. E., Mukherjee, J., & Christian, B. T. (2013) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2013.01.018 · Cited by 11
Research works printed but not linked: 3
- Chou, 2008, vol. 118, 17
- Tsuji, 2000, Transporter-mediated permeation of drugs across the blood-brain barrier, J. Pharm. Sci., 89, 1371, 10.1002/1520-6017(200011)89:11<1371::AID-JPS1>3.0.CO;2-D · DOI
- Chen, 2012, Modern methods for delivery of drugs across the blood-brain barrier, Adv. Drug Deliv. Rev., 64, 640, 10.1016/j.addr.2011.11.010 · DOI
Cited by
Sorted by citations
The blood–brain barrier: Structure, regulation and drug delivery
Wu, D., Chen, Q., Chen, X., Han, F., Chen, Z., & Wang, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01481-w · Cited by 1,906
“168 There have been a lot of studies undertaken using transferrin ligands.”
BackgroundSolid Lipid Nanoparticles (SLNs): An Advanced Drug Delivery System Targeting Brain through BBB
Satapathy, M. K., Yen, T.-L., Jan, J.-S., Tang, R.-D., Wang, J.-Y., Taliyan, R., & Yang, C.-H. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13081183 · Cited by 318
Achar, A., Westcott, R., & Ghosh, C. (2021) · Biomedicines · doi:10.3390/biomedicines9121834 · Cited by 203
Mitusova, K. A., Peltek, O. O., Karpov, T. E., Muslimov, A. R., Zyuzin, M. V., & Timin, A. S. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01610-7 · Cited by 193
Truong, T. T., Mondal, S. A., Doan, V. H. M., Tak, S., Choi, J., Oh, H., Nguyen, T. D., Misra, M., Lee, B., & Oh, J. (2024) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2024.103263 · Cited by 193
Metadata
- Authors
- Anthony, D. P., Hegde, M., Shetty, S. S., Rafic, T., Mutalik, S., & Rao, B. S. S.
- Affiliations
- Manipal Academy of Higher Education (IN)
- Corresponding author
- Rao, B.S. Satish
- Venue
- Life Sciences
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 274
- Pages
- 119326
- ISSN
- 0024-3205 (ISSN-L)
- OpenAlex
- W3135286150
- Cited by
- 110
- References
- 203
- Citations by year
- 2026: 10 · 2025: 30 · 2024: 31 · 2023: 16 · 2022: 18 · 2021: 5
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Life Sciences (publishedVersion)
- PubMed (publishedVersion)
- 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 drug delivery, tight junctions, endocytosis, liposomes, nanoparticles, monoclonal antibodies, brain disorders, Alzheimer's disease, Parkinson's disease, brain cancer, stroke, Huntington's disease, efflux pumps
- MeSH terms
- Animals, Biological Transport, Blood-Brain Barrier, Brain Diseases, Central Nervous System Agents, Drug Carriers, Humans, Ligands, Permeability, Receptors, Cell Surface, Drug Delivery Systems
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