The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Photosensitizer-crosslinked in-situ polymerization on catalase for tumor hypoxia modulation & enhanced photodynamic therapy
Abstract
Tumor hypoxia is known to be one of critical factors that aggravate the tumor resistance to photodynamic therapy (PDT) in which oxygen is essential for tumor destruction. Herein, catalase, an enzyme to trigger hydrogen peroxide (H2O2) decomposition, is modified by in-situ free radical polymerization, using meso-tetra(p-hydroxyphenyl) porphine (THPP) as the cross-linker to enable condensed grafting of short polyethylene glycol (PEG) chains on the protein surface as a permeable brush-like safeguard. The formulated catalase-entrapped nanocapsules (CAT-THPP-PEG) with enhanced enzyme stability can be labeled with 99mTc4+, a radioisotope ion that is chelated by the porphyrin structure of THPP, to allow in vivo single-photon emission computed tomography (SPECT) imaging. It is found that such CAT-THPP-PEG nanoparticles exhibit efficient tumor passive retention after intravenous injection, and are able to greatly relieve tumor hypoxia by triggering the decomposition of tumor endogenous H2O2 into oxygen. With THPP functioning as a photosensitizer, in vivo PDT is further conducted, achieving a remarkable antitumor therapeutic effect. This work presents an enzyme modification strategy by in-situ polymerization with photosensitizer as the cross-linker to develop multifunctional nano-theranostics with strengthened enzymatic stability, efficient tumor passive homing, SPECT imaging capability, enhanced PDT efficacy as well as decreased immunogenicity, promising for clinical translation.
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Cites
Exploiting tumour hypoxia in cancer treatment
Brown, J. M., & Wilson, W. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1367 · Cited by 2,828
The catalase—peroxidase gene and isoniazid resistance of Mycobacterium tuberculosis
Zhang, Y., Heym, B., Allen, B., Young, D., & Cole, S. (1992) · Nature · doi:10.1038/358591a0 · Cited by 1,299
Tumor Microenvironment Complexity: Emerging Roles in Cancer Therapy
Swartz, M. A., Iida, N., Roberts, E. W., Sangaletti, S., Wong, M. H., Yull, F. E., Coussens, L. M., & DeClerck, Y. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-0122 · Cited by 542
Huang, C.-C., Chia, W.-T., Chung, M.-F., Lin, K.-J., Hsiao, C.-W., Jin, C., Lim, W.-H., Chen, C.-C., & Sung, H.-W. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b01784 · Cited by 372
Cited by
Deciphering the catalytic mechanism of superoxide dismutase activity of carbon dot nanozyme
Gao, W., He, J., Chen, L., Meng, X., Ma, Y., Cheng, L., Tu, K., Gao, X., Liu, C., Zhang, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-35828-2 · Cited by 622
Overcoming barriers in photodynamic therapy harnessing nano-formulation strategies
Xie, J., Wang, Y., Choi, W., Jangili, P., Ge, Y., Xu, Y., Kang, J., Liu, L., Zhang, B., Xie, Z., et al. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01370f · Cited by 522
Reactive Oxygen Species‐Regulating Strategies Based on Nanomaterials for Disease Treatment
Zhang, C., Wang, X., Du, J., Gu, Z., & Zhao, Y. (2021) · Advanced Science · doi:10.1002/advs.202002797 · Cited by 401
Catalase-Integrated Hyaluronic Acid as Nanocarriers for Enhanced Photodynamic Therapy in Solid Tumor
Phua, S. Z. F., Yang, G., Lim, W. Q., Verma, A., Chen, H., Thanabalu, T., & Zhao, Y. (2019) · ACS Nano · doi:10.1021/acsnano.9b01087 · Cited by 375
Tumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics
Gong, F., Yang, N., Wang, X., Zhao, Q., Chen, Q., Liu, Z., & Cheng, L. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100851 · Cited by 359
Self-citation
Metadata
- Authors
- Wang, H., Chao, Y., Liu, J., Zhu, W., Wang, G., Xu, L., & Liu, Z.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 181
- Pages
- 310-317
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2886967196
- Cited by
- 187
- References
- 4
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, H., Chao, Y., Liu, J., Zhu, W., Wang, G., Xu, L., & Liu, Z. (2018). Photosensitizer-crosslinked in-situ polymerization on catalase for tumor hypoxia modulation & enhanced photodynamic therapy. Biomaterials. https://doi.org/10.1016/j.biomaterials.2018.08.011
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