The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Biomimetic Design of Mitochondria‐Targeted Hybrid Nanozymes as Superoxide Scavengers
Abstract
Development of enzyme mimics for the scavenging of excessive mitochondrial superoxide (O 2•−) can serve as an effective strategy in the treatment of many diseases. Here, protein reconstruction technology and nanotechnology is taken advantage of to biomimetically create an artificial hybrid nanozyme. These nanozymes consist of ferritin‐heavy‐chain‐based protein as the enzyme scaffold and a metal nanoparticle core as the enzyme active center. This artificial cascade nanozyme possesses superoxide dismutase‐ and catalase‐like activities and also targets mitochondria by overcoming multiple biological barriers. Using cardiac ischemia‐reperfusion animal models, the protective advantages of the hybrid nanozymes are demonstrated in vivo during mitochondrial oxidative injury and in the recovery of heart functionality following infarction via systemic delivery and localized release from adhesive hydrogels (i.e., cardiac patch), respectively. This study illustrates a de novo design strategy in the development of enzyme mimics and provides a promising therapeutic option for alleviating oxidative damage in regenerative medicine.
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
Intrinsic peroxidase-like activity of ferromagnetic nanoparticles
Gao, L., Zhuang, J., Nie, L., Zhang, J., Zhang, Y., Gu, N., Wang, T., Feng, J., Yang, D., Perrett, S., et al. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.260 · Cited by 7,483
Self-citationMitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
Targeting Antioxidants to Mitochondria by Conjugation to Lipophilic Cations
Murphy, M. P., & Smith, R. A. J. (2007) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.47.120505.105110 · Cited by 1,173
A Unifying Mechanism for Mitochondrial Superoxide Production during Ischemia-Reperfusion Injury
Chouchani, E. T., Pell, V. R., James, A. M., Work, L. M., Saeb-Parsy, K., Frezza, C., Krieg, T., & Murphy, M. P. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.009 · Cited by 752
Hart, P. C., Mao, M., de Abreu, A. L. P., Ansenberger-Fricano, K., Ekoue, D. N., Ganini, D., Kajdacsy-Balla, A., Diamond, A. M., Minshall, R. D., Consolaro, M. E. L., et al. (2015) · Nature Communications · doi:10.1038/ncomms7053 · Cited by 260
Honokiol is a potent scavenger of superoxide and peroxyl radicals
Dikalov, S., Losik, T., & Arbiser, J. L. (2008) · Biochemical Pharmacology · doi:10.1016/j.bcp.2008.06.012 · Cited by 125
Cited by
Wang, W., Cui, Y., Wei, X., Zang, Y., Chen, X., Cheng, L., & Wang, X. (2024) · ACS Nano · doi:10.1021/acsnano.4c02825 · Cited by 303
Machine-learning-assisted single-vessel analysis of nanoparticle permeability in tumour vasculatures
Zhu, M., Zhuang, J., Li, Z., Liu, Q., Zhao, R., Gao, Z., Midgley, A. C., Qi, T., Tian, J., Zhang, Z., et al. (2023) · Nature Nanotechnology · doi:10.1038/s41565-023-01323-4 · Cited by 140
Self-citationBioactive Ceria Nanoenzymes Target Mitochondria in Reperfusion Injury to Treat Ischemic Stroke
Liao, J., Li, Y., Fan, L., Sun, Y., Gu, Z., Xu, Q.-Q., Wang, Y., Xiong, L., Xiao, K., Chen, Z.-S., et al. (2024) · ACS Nano · doi:10.1021/acsnano.3c10982 · Cited by 104
Metadata
- Authors
- Zhang, Y., Khalique, A., Du, X., Gao, Z., Wu, J., Zhang, X., Zhang, R., Sun, Z., Liu, Q., Xu, Z., Midgley, A. C., Wang, L., Yan, X., Zhuang, J., Kong, D., & Huang, X.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-01-22
- Volume
- 33
- Issue
- 9
- Pages
- e2006570-e2006570
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3124265836
- Cited by
- 232
- References
- 6
- FWCI
- 12.44
- Type
- journal article
- Language
- en
- Open access
- closed
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: Biomimetic Design of Mitochondria‐Targeted Hybrid Nanozymes as Superoxide Scavengers. https://app.cochat.ai/papers/10.1002/adma.202006570
- The paper
- Zhang, Y., Khalique, A., Du, X., Gao, Z., Wu, J., Zhang, X., Zhang, R., Sun, Z., Liu, Q., Xu, Z., Midgley, A. C., Wang, L., Yan, X., Zhuang, J., Kong, D., & Huang, X. (2021). Biomimetic Design of Mitochondria‐Targeted Hybrid Nanozymes as Superoxide Scavengers. Advanced Materials. https://doi.org/10.1002/adma.202006570
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.
