The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Tumor‐Microenvironment‐Activated Nanozyme‐Mediated Theranostic Nanoreactor for Imaging‐Guided Combined Tumor Therapy
Abstract
Activatable theranostic agents that can be activated by tumor microenvironment possess higher specificity and sensitivity. Here, activatable nanozyme‐mediated 2,2′‐azino‐bis (3‐ethylbenzothiazoline‐6‐sulfonic acid) (ABTS) loaded ABTS@MIL‐100/poly(vinylpyrrolidine) (AMP) nanoreactors (NRs) are developed for imaging‐guided combined tumor therapy. The as‐constructed AMP NRs can be specifically activated by the tumor microenvironment through a nanozyme‐mediated “two‐step rocket‐launching‐like” process to turn on its photoacoustic imaging signal and photothermal therapy (PTT) function. In addition, simultaneously producing hydroxyl radicals in response to the high H 2 O 2 level of the tumor microenvironment and disrupting intracellular glutathione (GSH) endows the AMP NRs with the ability of enhanced chemodynamic therapy (ECDT), thereby leading to more efficient therapeutic outcome in combination with tumor‐triggered PTT. More importantly, the H 2 O 2‐activated and acid‐enhanced properties enable the AMP NRs to be specific to tumors, leaving the normal tissues unharmed. These remarkable features of AMP NRs may open a new avenue to explore nanozyme‐involved nanoreactors for intelligent, accurate, and noninvasive cancer theranostics.
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-citationToxic DNA damage by hydrogen peroxide through the Fenton reaction in vivo and in vitro
Imlay, J. A., Chin, S. M., & Linn, S. (1988) · Science · doi:10.1126/science.2834821 · Cited by 1,555
Toxicity of iron and hydrogen peroxide: the Fenton reaction
Winterbourn, C. C. (1995) · Toxicology Letters · doi:10.1016/0378-4274(95)03532-x · Cited by 1,415
Nanozyme Decorated Metal–Organic Frameworks for Enhanced Photodynamic Therapy
Zhang, Y., Wang, F., Liu, C., Wang, Z., Kang, L., Huang, Y., Dong, K., Ren, J., & Qu, X. (2018) · ACS Nano · doi:10.1021/acsnano.7b07746 · Cited by 854
Self-citationSmall conjugate-based theranostic agents: an encouraging approach for cancer therapy
Kumar, R., Shin, W. S., Sunwoo, K., Kim, W. Y., Koo, S., Bhuniya, S., & Kim, J. S. (2015) · Chemical Society Reviews · doi:10.1039/c5cs00224a · Cited by 381
Cited by
Fu, L., Wan, Y., Qi, C., He, J., Li, C., Yang, C., Xu, H., Lin, J., & Huang, P. (2021) · Advanced Materials · doi:10.1002/adma.202006892 · Cited by 820
Dong, S., Dong, Y., Jia, T., Liu, S., Liu, J., Yang, D., He, F., Gai, S., Yang, P., & Lin, J. (2020) · Advanced Materials · doi:10.1002/adma.202002439 · Cited by 592
Zhou, Y., Fan, S., Feng, L., Huang, X., & Chen, X. (2021) · Advanced Materials · doi:10.1002/adma.202104223 · Cited by 463
Self-citationImmunomodulation‐Enhanced Nanozyme‐Based Tumor Catalytic Therapy
Xu, B., Cui, Y., Wang, W., Li, S., Lyu, C., Wang, S., Bao, W., Wang, H., Qin, M., Liu, Z., et al. (2020) · Advanced Materials · doi:10.1002/adma.202003563 · Cited by 404
Nanoscale covalent organic frameworks: from controlled synthesis to cancer therapy
He, X., Jiang, Z., Akakuru, O. U., Li, J., & Wu, A. (2021) · Chemical Communications · doi:10.1039/d1cc04846e · Cited by 303
Metadata
- Authors
- Liu, F., Lin, L., Zhang, Y., Wang, Y., Sheng, S., Xu, C., Tian, H., & Chen, X.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-08-18
- Volume
- 31
- Issue
- 40
- Pages
- e1902885-e1902885
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2969296993
- Cited by
- 327
- References
- 5
- FWCI
- 16.09
- 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: A Tumor‐Microenvironment‐Activated Nanozyme‐Mediated Theranostic Nanoreactor for Imaging‐Guided Combined Tumor Therapy. https://app.cochat.ai/papers/10.1002/adma.201902885
- The paper
- Liu, F., Lin, L., Zhang, Y., Wang, Y., Sheng, S., Xu, C., Tian, H., & Chen, X. (2019). A Tumor‐Microenvironment‐Activated Nanozyme‐Mediated Theranostic Nanoreactor for Imaging‐Guided Combined Tumor Therapy. Advanced Materials. https://doi.org/10.1002/adma.201902885
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.
