The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Design, Synthesis, and Testing of Difluoroboron-Derivatized Curcumins as Near-Infrared Probes for in Vivo Detection of Amyloid-β Deposits
Open accessAbstract
Amyloid-beta (Abeta) deposits have been identified as key players in the progression of Alzheimer's disease (AD). Recent evidence indicates that the deposits probably precede and induce the neuronal atrophy. Therefore, methods that enable monitoring the pathology before clinical symptoms are observed would be beneficial for early AD detection. Here, we report the design, synthesis, and testing of a curcumin-derivatized near-infrared (NIR) probe, CRANAD-2. Upon interacting with Abeta aggregates, CRANAD-2 undergoes a range of changes, which include a 70-fold fluorescence intensity increase, a 90 nm blue shift (from 805 to 715 nm), and a large increase in quantum yield. Moreover, this probe also shows a high affinity for Abeta aggregates (K(d) = 38.0 nM), a reasonable log P value (log P = 3), considerable stability in serum, and a weak interaction with albumin. After intravenous injection of this probe, 19-month-old Tg2576 mice exhibited significantly higher relative signal than that of the control mice over the same period of time. In summary, CRANAD-2 meets all the requirements for a NIR contrast agent for the detection of Abeta plaques both in vitro and in vivo. Our data point toward the feasibility of monitoring the progress of the disease by NIR imaging with CRANAD-2. In addition, we believe that our probe could be potentially used as a tool for drug screening.
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
Yang, F., Lim, G. P., Begum, A. N., Ubeda, O. J., Simmons, M. R., Ambegaokar, S. S., Chen, P. P., Kayed, R., Glabe, C. G., Frautschy, S. A., et al. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m404751200 · Cited by 2,336
Rapid appearance and local toxicity of amyloid-β plaques in a mouse model of Alzheimer’s disease
Meyer-Luehmann, M., Spires-Jones, T. L., Prada, C., Garcia-Alloza, M., de Calignon, A., Rozkalne, A., Koenigsknecht-Talboo, J., Holtzman, D. M., Bacskai, B. J., & Hyman, B. T. (2008) · Nature · doi:10.1038/nature06616 · Cited by 987
Self-citationAggarwal, S., Ichikawa, H., Takada, Y., Sandur, S. K., Shishodia, S., & Aggarwal, B. B. (2006) · Molecular Pharmacology · doi:10.1124/mol.105.017400 · Cited by 532
19F and 1H MRI detection of amyloid β plaques in vivo
Higuchi, M., Iwata, N., Matsuba, Y., Sato, K., Sasamoto, K., & Saido, T. C. (2005) · Nature Neuroscience · doi:10.1038/nn1422 · Cited by 339
Cited by
Hong, Y., Meng, L., Chen, S., Leung, C. W. T., Da, L.-T., Faisal, M., Silva, D.-A., Liu, J., Lam, J. W. Y., Huang, X., et al. (2012) · Journal of the American Chemical Society · doi:10.1021/ja208720a · Cited by 388
Lazar, A. N., Mourtas, S., Youssef, I., Parizot, C., Dauphin, A., Delatour, B., Antimisiaris, S. G., & Duyckaerts, C. (2013) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2012.11.004 · Cited by 149
Microglia-Mediated Neuroprotection, TREM2, and Alzheimer’s Disease: Evidence From Optical Imaging
Condello, C., Yuan, P., & Grutzendler, J. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.10.007 · Cited by 131
Yang, J., Yin, W., Van, R., Yin, K., Wang, P., Zheng, C., Zhu, B., Ran, K., Zhang, C., Kumar, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17783-4 · Cited by 123
Self-citationLi, Y., Xu, D., Ho, S.-L., Li, H.-W., Yang, R., & Wong, M. S. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.03.047 · Cited by 102
Metadata
- Authors
- Ran, C., Xu, X., Raymond, S. B., Ferrara, B. J., Neal, K., Bacskai, B. J., Medarova, Z., & Moore, A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-10-06
- Volume
- 131
- Issue
- 42
- Pages
- 15257-15261
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2006173748
- Cited by
- 486
- References
- 4
- FWCI
- 8.86
- 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: Design, Synthesis, and Testing of Difluoroboron-Derivatized Curcumins as Near-Infrared Probes for in Vivo Detection of Amyloid-β Deposits. https://app.cochat.ai/papers/10.1021/ja9047043
- The paper
- Ran, C., Xu, X., Raymond, S. B., Ferrara, B. J., Neal, K., Bacskai, B. J., Medarova, Z., & Moore, A. (2009). Design, Synthesis, and Testing of Difluoroboron-Derivatized Curcumins as Near-Infrared Probes for in Vivo Detection of Amyloid-β Deposits. Journal of the American Chemical Society. https://doi.org/10.1021/ja9047043
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.
