The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Copper-Responsive Magnetic Resonance Imaging Contrast Agents
Abstract
The design, synthesis, and evaluation of the Copper-Gad (CG) family, a new class of copper-activated magnetic resonance imaging (MRI) contrast agents, are presented. These indicators comprise a Gd(3+)-DO3A core coupled to various thioether-rich receptors for copper-induced relaxivity switching. In the absence of copper ions, inner-sphere water binding to the Gd(3+) chelate is restricted, resulting in low longitudinal relaxivity values (r(1) = 1.2-2.2 mM(-1) s(-1) measured at 60 MHz). Addition of Cu(+) to CG2, CG3, CG4, and CG5 and either Cu(+) or Cu(2+) to CG6 triggers marked enhancements in relaxivity (r(1) = 2.3-6.9 mM(-1) s(-1)). CG2 and CG3 exhibit the greatest turn-on responses, going from r(1) = 1.5 mM(-1) s(-1) in the absence of Cu(+) to r(1) = 6.9 mM(-1) s(-1) upon Cu(+) binding (a 360% increase). The CG sensors are highly selective for Cu(+) and/or Cu(2+) over competing metal ions at cellular concentrations, including Zn(2+) at 10-fold higher concentrations. (17)O NMR dysprosium-induced shift and nuclear magnetic relaxation dispersion measurements support a mechanism in which copper-induced changes in the coordination environment of the Gd(3+) core result in increases in q and r(1). T(1)-weighted phantom images establish that the CG sensors are capable of visualizing changes in copper levels by MRI at clinical field strengths.
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
Neurodegenerative diseases and oxidative stress
Barnham, K. J., Masters, C. L., & Bush, A. I. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1330 · Cited by 3,683
Bush, A. (2000) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(99)00073-3 · Cited by 731
Cited by
Renny, J. S., Tomasevich, L. L., Tallmadge, E. H., & Collum, D. B. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201304157 · Cited by 722
Que, E. L., & Chang, C. J. (2010) · Chem. Soc. Rev. · doi:10.1039/b914348n · Cited by 263
Self-citation
Metadata
- Authors
- Que, E. L., Gianolio, E., Baker, S. L., Wong, A. P., Aime, S., & Chang, C. J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-06-02
- Volume
- 131
- Issue
- 24
- Pages
- 8527-8536
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1981532832
- Cited by
- 162
- References
- 2
- FWCI
- 7.98
- 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: Copper-Responsive Magnetic Resonance Imaging Contrast Agents. https://app.cochat.ai/papers/10.1021/ja900884j
- The paper
- Que, E. L., Gianolio, E., Baker, S. L., Wong, A. P., Aime, S., & Chang, C. J. (2009). Copper-Responsive Magnetic Resonance Imaging Contrast Agents. Journal of the American Chemical Society. https://doi.org/10.1021/ja900884j
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.