The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A pH-activatable nanoparticle with signal-amplification capabilities for non-invasive imaging of tumour malignancy
Open accessAbstract
Engineered nanoparticles that respond to pathophysiological parameters, such as pH or redox potential, have been developed as contrast agents for the magnetic resonance imaging (MRI) of tumours. However, beyond anatomic assessment, contrast agents that can sense these pathological parameters and rapidly amplify their magnetic resonance signals are desirable because they could potentially be used to monitor the biological processes of tumours and improve cancer diagnosis. Here, we report an MRI contrast agent that rapidly amplifies magnetic resonance signals in response to pH. We confined Mn(2+) within pH-sensitive calcium phosphate (CaP) nanoparticles comprising a poly(ethylene glycol) shell. At a low pH, such as in solid tumours, the CaP disintegrates and releases Mn(2+) ions. Binding to proteins increases the relaxivity of Mn(2+) and enhances the contrast. We show that these nanoparticles could rapidly and selectively brighten solid tumours, identify hypoxic regions within the tumour mass and detect invisible millimetre-sized metastatic tumours in the liver.
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
Targeting hypoxia in cancer therapy
Wilson, W. R., & Hay, M. P. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3064 · Cited by 3,172
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
Self-citationThe causes and consequences of genetic heterogeneity in cancer evolution
Burrell, R. A., McGranahan, N., Bartek, J., & Swanton, C. (2013) · Nature · doi:10.1038/nature12625 · Cited by 2,262
Cited by
Controlled drug delivery vehicles for cancer treatment and their performance
Senapati, S., Mahanta, A. K., Kumar, S., & Maiti, P. (2018) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-017-0004-3 · Cited by 2,167
Reactive oxygen species generating systems meeting challenges of photodynamic cancer therapy
Zhou, Z., Song, J., Nie, L., & Chen, X. (2016) · Chemical Society Reviews · doi:10.1039/c6cs00271d · Cited by 2,098
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Advances in Biomaterials for Drug Delivery
Fenton, O. S., Olafson, K. N., Pillai, P. S., Mitchell, M. J., & Langer, R. (2018) · Advanced Materials · doi:10.1002/adma.201705328 · Cited by 855
Preparation and application of pH-responsive drug delivery systems
Ding, H., Tan, P., Fu, S., Tian, X., Zhang, H., Ma, X., Gu, Z., & Luo, K. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.05.056 · Cited by 645
Metadata
- Authors
- Mi, P., Kokuryo, D., Cabral, H., Wu, H., Terada, Y., Saga, T., Aoki, I., Nishiyama, N., & Kataoka, K.
- Venue
- Nature Nanotechnology
- Published
- 2016-05-16
- Volume
- 11
- Issue
- 8
- Pages
- 724-730
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2376997792
- Cited by
- 512
- References
- 3
- FWCI
- 25.47
- 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: A pH-activatable nanoparticle with signal-amplification capabilities for non-invasive imaging of tumour malignancy. https://app.cochat.ai/papers/10.1038/nnano.2016.72
- The paper
- Mi, P., Kokuryo, D., Cabral, H., Wu, H., Terada, Y., Saga, T., Aoki, I., Nishiyama, N., & Kataoka, K. (2016). A pH-activatable nanoparticle with signal-amplification capabilities for non-invasive imaging of tumour malignancy. Nature Nanotechnology. https://doi.org/10.1038/nnano.2016.72
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.