The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
The effects of particle size, shape, density and flow characteristics on particle margination to vascular walls in cardiovascular diseases
Abstract
INTRODUCTION: Vascular-targeted drug delivery is a promising approach for the treatment of atherosclerosis, due to the vast involvement of endothelium in the initiation and growth of plaque, a characteristic of atherosclerosis. One of the major challenges in carrier design for targeting cardiovascular diseases (CVD) is that carriers must be able to navigate the circulation system and efficiently marginate to the endothelium in order to interact with the target receptors. AREAS COVERED: This review draws on studies that have focused on the role of particle size, shape, and density (along with flow hemodynamics and hemorheology) on the localization of the particles to activated endothelial cell surfaces and vascular walls under different flow conditions, especially those relevant to atherosclerosis. EXPERT OPINION: Generally, the size, shape, and density of a particle affect its adhesion to vascular walls synergistically, and these three factors should be considered simultaneously when designing an optimal carrier for targeting CVD. Available preliminary data should encourage more studies to be conducted to investigate the use of nano-constructs, characterized by a sub-micrometer size, a non-spherical shape, and a high material density to maximize vascular wall margination and minimize capillary entrapment, as carriers for targeting CVD.
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“Although the present model could not fully represent the complexity of biological systems (e.g., lack of plasma proteins or circulating blood cells) that are known to a ff ect NP properties and nanobio interactions, 70,71”
From Rapid Assessment of Nanoparticle Extravasation in a Microfluidic Tumor Model (2019) · cites this paper as [71]
Citations
Cites
Textbook of Medical Physiology
Guyton, A. C., & Hall, J. E. (1966) · Annals of Internal Medicine · doi:10.7326/0003-4819-64-6-1363_2 · Cited by 9,760
Inflammation, Atherosclerosis, and Coronary Artery Disease
Hansson, G. K. (2005) · New England Journal of Medicine · doi:10.1056/nejmra043430 · Cited by 8,773
Determining the Size and Shape Dependence of Gold Nanoparticle Uptake into Mammalian Cells
Chithrani, D. B., Ghazani, A. A., & Chan, W. C. W. (2006) · Nano Letters · doi:10.1021/nl052396o · Cited by 4,944
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
Virmani, R., Kolodgie, F. D., Burke, A. P., Farb, A., & Schwartz, S. M. (2000) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.20.5.1262 · Cited by 4,084
Delivering nanomedicine to solid tumors
Jain, R. K., & Stylianopoulos, T. (2010) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2010.139 · Cited by 3,265
The effect of particle design on cellular internalization pathways
Gratton, S. E. A., Ropp, P. A., Pohlhaus, P. D., Luft, J. C., Madden, V. J., Napier, M. E., & DeSimone, J. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801763105 · Cited by 2,918
Ku, D. N., Giddens, D. P., Zarins, C. K., & Glagov, S. (1985) · Arteriosclerosis An Official Journal of the American Heart Association Inc · doi:10.1161/01.atv.5.3.293 · Cited by 2,714
Shape effects of filaments versus spherical particles in flow and drug delivery
Geng, Y., Dalhaimer, P., Cai, S., Tsai, R., Tewari, M., Minko, T., & Discher, D. E. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.70 · Cited by 2,565
Chiu, J.-J., & Chien, S. (2011) · Physiological Reviews · doi:10.1152/physrev.00047.2009 · Cited by 2,280
Research works printed but not linked: 6
- Sharan M, 2001, Biorheology, 38, 415
- Koutsiaris AG, 2007, Biorheology, 44, 375
- Pappu V, 2007, Biorheology, 44, 191
- Maeda N, 1996, Am J Physiol, 271, H2454
- Skilbeck C, 2001, Biorheology, 38, 213
- Less JR, 1991, Cancer Res, 51, 265
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Hoang Thi, T. T., Pilkington, E. H., Nguyen, D. H., Lee, J. S., Park, K. D., & Truong, N. P. (2020) · Polymers · doi:10.3390/polym12020298 · Cited by 668
Self-citationAdvances in nanomaterial-based targeted drug delivery systems
Cheng, X., Xie, Q., & Sun, Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1177151 · Cited by 428
Tailoring polymer dispersity and shape of molecular weight distributions: methods and applications
Whitfield, R., Truong, N. P., Messmer, D., Parkatzidis, K., Rolland, M., & Anastasaki, A. (2019) · Chemical Science · doi:10.1039/c9sc03546j · Cited by 222
Self-citationNon-spherical micro- and nanoparticles in nanomedicine
Zhu, X., Vo, C. L.-N., Taylor, M., & Smith, B. R. (2019) · Materials Horizons · doi:10.1039/c8mh01527a · Cited by 191
Molecular Sensors of Blood Flow in Endothelial Cells
Baratchi, S., Khoshmanesh, K., Woodman, O. L., Potocnik, S. J., Peter, K., & McIntyre, P. (2017) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.07.007 · Cited by 193
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Metadata
- Authors
- Ta, H. T., Truong, N. P., Whittaker, A. K., Davis, T. P., & Peter, K.
- Affiliations
- The University of Queensland (AU)
- Monash University (AU)
- University of Warwick (GB)
- Baker Heart and Diabetes Institute (AU)
- Corresponding author
- Ta, Hang T.
- Peter, Karlheinz
- Venue
- Expert Opinion on Drug Delivery
- Publisher
- Informa UK Limited
- Published
- 2017-04-13
- Volume
- 15
- Issue
- 1
- Pages
- 33-45
- ISSN
- 1742-5247 (ISSN-L)
- 1744-7593
- OpenAlex
- W2604413746
- Cited by
- 105
- References
- 112
- Citations by year
- 2026: 11 · 2025: 7 · 2024: 10 · 2023: 13 · 2022: 9 · 2021: 17 · 2020: 13 · 2019: 12 · 2018: 9 · 2017: 4
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Opinion on Drug Delivery (publishedVersion)
- PubMed (publishedVersion)
- Griffith Research Online (submittedVersion)
- Warwick Research Archive Portal (University of Warwick) (submittedVersion)
- Funders
- Australian Research Council (CE140100036)
- National Health and Medical Research Council (APP1037310, FT0992210)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Health Sciences › Medicine › Hematology › Blood properties and coagulation
- Keywords
- vascular wall, atherosclerosis, particle size, particle shape, particle density, hemorheology, endothelial cell adhesion, cardiovascular disease
- MeSH terms
- Coronary Artery Disease, Coronary Vessels, Densitometry, Drug Carriers, Endothelium, Vascular, Hemodynamics, Humans, Particle Size, Drug Delivery Systems
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