The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The rational design of a synthetic polymer nanoparticle that neutralizes a toxic peptide in vivo
Open accessAbstract
Synthetic polymer nanoparticles (NPs) that bind venomous molecules and neutralize their function in vivo are of significant interest as “plastic antidotes.” Recently, procedures to synthesize polymer NPs with affinity for target peptides have been reported. However, the performance of synthetic materials in vivo is a far greater challenge. Particle size, surface charge, and hydrophobicity affect not only the binding affinity and capacity to the target toxin but also the toxicity of NPs and the creation of a “corona” of proteins around NPs that can alter and or suppress the intended performance. Here, we report the design rationale of a plastic antidote for in vivo applications. Optimizing the choice and ratio of functional monomers incorporated in the NP maximized the binding affinity and capacity toward a target peptide. Biocompatibility tests of the NPs in vitro and in vivo revealed the importance of tuning surface charge and hydrophobicity to minimize NP toxicity and prevent aggregation induced by nonspecific interactions with plasma proteins. The toxin neutralization capacity of NPs in vivo showed a strong correlation with binding affinity and capacity in vitro. Furthermore, in vivo imaging experiments established the NPs accelerate clearance of the toxic peptide and eventually accumulate in macrophages in the liver. These results provide a platform to design plastic antidotes and reveal the potential and possible limitations of using synthetic polymer nanoparticles as plastic antidotes.
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
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Wang, R., Braughton, K. R., Kretschmer, D., Bach, T.-H. L., Queck, S. Y., Li, M., Kennedy, A. D., Dorward, D. W., Klebanoff, S. J., Peschel, A., et al. (2007) · Nature Medicine · doi:10.1038/nm1656 · Cited by 1,046
Poring over pores: α-hemolysin and Panton-Valentine leukocidin in Staphylococcus aureus pneumonia
Bubeck Wardenburg, J., Bae, T., Otto, M., DeLeo, F. R., & Schneewind, O. (2007) · Nature Medicine · doi:10.1038/nm1207-1405 · Cited by 492
Cited by
Nanogels and Microgels: From Model Colloids to Applications, Recent Developments, and Future Trends
Karg, M., Pich, A., Hellweg, T., Hoare, T., Lyon, L. A., Crassous, J. J., Suzuki, D., Gumerov, R. A., Schneider, S., Potemkin, I. I., et al. (2019) · Langmuir · doi:10.1021/acs.langmuir.8b04304 · Cited by 658
Skin cancer and new treatment perspectives: A review
Simões, M. C. F., Sousa, J. J. S., & Pais, A. A. C. C. (2015) · Cancer Letters · doi:10.1016/j.canlet.2014.11.001 · Cited by 414
Nanoparticle-Hydrogel: A Hybrid Biomaterial System for Localized Drug Delivery
Gao, W., Zhang, Y., Zhang, Q., & Zhang, L. (2016) · Annals of Biomedical Engineering · doi:10.1007/s10439-016-1583-9 · Cited by 346
Bio-inspired detoxification using 3D-printed hydrogel nanocomposites
Gou, M., Qu, X., Zhu, W., Xiang, M., Yang, J., Zhang, K., Wei, Y., & Chen, S. (2014) · Nature Communications · doi:10.1038/ncomms4774 · Cited by 323
Nanocarrier system: An emerging strategy for bioactive peptide delivery
Zhang, X., Li, X., Zhao, Y., Zheng, Q., Wu, Q., & Yu, Y. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1050647 · Cited by 63
Metadata
- Authors
- Hoshino, Y., Koide, H., Furuya, K., Haberaecker, W. W., Lee, S.-H., Kodama, T., Kanazawa, H., Oku, N., & Shea, K. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-12-22
- Volume
- 109
- Issue
- 1
- Pages
- 33-38
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2065203849
- Cited by
- 201
- References
- 3
- FWCI
- 5.68
- 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: The rational design of a synthetic polymer nanoparticle that neutralizes a toxic peptide in vivo. https://app.cochat.ai/papers/10.1073/pnas.1112828109
- The paper
- Hoshino, Y., Koide, H., Furuya, K., Haberaecker, W. W., Lee, S.-H., Kodama, T., Kanazawa, H., Oku, N., & Shea, K. J. (2012). The rational design of a synthetic polymer nanoparticle that neutralizes a toxic peptide in vivo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1112828109
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.