The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Protein corona: a new approach for nanomedicine design
Open accessAbstract
After administration of nanoparticle (NP) into biological fluids, an NP-protein complex is formed, which represents the "true identity" of NP in our body. Hence, protein-NP interaction should be carefully investigated to predict and control the fate of NPs or drug-loaded NPs, including systemic circulation, biodistribution, and bioavailability. In this review, we mainly focus on the formation of protein corona and its potential applications in pharmaceutical sciences such as prediction modeling based on NP-adsorbed proteins, usage of active proteins for modifying NP to achieve toxicity reduction, circulation time enhancement, and targeting effect. Validated correlative models for NP biological responses mainly based on protein corona fingerprints of NPs are more highly accurate than the models solely set up from NP properties. Based on these models, effectiveness as well as the toxicity of NPs can be predicted without in vivo tests, while novel cell receptors could be identified from prominent proteins which play important key roles in the models. The ungoverned protein adsorption onto NPs may have generally negative effects such as rapid clearance from the bloodstream, hindrance of targeting capacity, and induction of toxicity. In contrast, controlling protein adsorption by modifying NPs with diverse functional proteins or tailoring appropriate NPs which favor selective endogenous peptides and proteins will bring promising therapeutic benefits in drug delivery and targeted cancer treatment.
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
Poly(ethylene glycol) in Drug Delivery: Pros and Cons as Well as Potential Alternatives
Knop, K., Hoogenboom, R., Fischer, D., & Schubert, U. S. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200902672 · Cited by 3,533
Nanoparticle Size and Surface Chemistry Determine Serum Protein Adsorption and Macrophage Uptake
Walkey, C. D., Olsen, J. B., Guo, H., Emili, A., & Chan, W. C. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja2084338 · Cited by 1,926
Monopoli, M. P., Walczyk, D., Campbell, A., Elia, G., Lynch, I., Baldelli Bombelli, F., & Dawson, K. A. (2011) · Journal of the American Chemical Society · doi:10.1021/ja107583h · Cited by 1,835
Impact of protein pre-coating on the protein corona composition and nanoparticle cellular uptake
Mirshafiee, V., Kim, R., Park, S., Mahmoudi, M., & Kraft, M. L. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2015.10.019 · Cited by 316
Bigdeli, A., Palchetti, S., Pozzi, D., Hormozi-Nezhad, M. R., Baldelli Bombelli, F., Caracciolo, G., & Mahmoudi, M. (2016) · ACS Nano · doi:10.1021/acsnano.6b00261 · Cited by 157
Albumin-binding adenoviruses circumvent pre-existing neutralizing antibodies upon systemic delivery
Rojas, L. A., Condezo, G. N., Moreno, R., Fajardo, C. A., Arias-Badia, M., San Martín, C., & Alemany, R. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.07.004 · Cited by 66
Cited by
Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine
Sousa de Almeida, M., Susnik, E., Drasler, B., Taladriz-Blanco, P., Petri-Fink, A., & Rothen-Rutishauser, B. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01127d · Cited by 1,079
The Use of Alternative Strategies for Enhanced Nanoparticle Delivery to Solid Tumors
Izci, M., Maksoudian, C., Manshian, B. B., & Soenen, S. J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00779 · Cited by 506
Aghebati‐Maleki, A., Dolati, S., Ahmadi, M., Baghbanzhadeh, A., Asadi, M., Fotouhi, A., Yousefi, M., & Aghebati‐Maleki, L. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29126 · Cited by 417
Nanoparticle protein corona: from structure and function to therapeutic targeting
Bashiri, G., Padilla, M. S., Swingle, K. L., Shepherd, S. J., Mitchell, M. J., & Wang, K. (2023) · Lab on a Chip · doi:10.1039/d2lc00799a · Cited by 296
Agarose-based biomaterials for advanced drug delivery
Khodadadi Yazdi, M., Taghizadeh, A., Taghizadeh, M., Stadler, F. J., Farokhi, M., Mottaghitalab, F., Zarrintaj, P., Ramsey, J. D., Seidi, F., Saeb, M. R., et al. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.07.028 · Cited by 268
Metadata
- Authors
- Nguyen, V. H., & Lee, B.-J.
- Venue
- International Journal of Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2017-04
- Volume
- Volume 12
- Pages
- 3137-3151
- ISSN
- 1176-9114 (ISSN-L)
- 1178-2013
- OpenAlex
- W2606968610
- Cited by
- 638
- References
- 6
- FWCI
- 22.79
- Type
- journal article
- Language
- en
- Open access
- gold
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: Protein corona: a new approach for nanomedicine design. https://app.cochat.ai/papers/10.2147/ijn.s129300
- The paper
- Nguyen, V. H., & Lee, B.-J. (2017). Protein corona: a new approach for nanomedicine design. International Journal of Nanomedicine. https://doi.org/10.2147/ijn.s129300
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.
