The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Development of Positron Emission Tomography β-Amyloid Plaque Imaging Agents
Open accessAbstract
For 100 years, β-amyloid (Aβ) plaques and neurofibrillary tangles (NFTs) have been recognized as the neuropathological hallmarks of Alzheimer’s disease (AD), and their presence or absence could only be assessed postmortem using stains and dyes that identified these microscopic structures. Approximately 10 years ago, the first successful Aβ plaque–specific positron emission tomography (PET) imaging study was conducted in a living human subject clinically diagnosed with probable AD using the 11C-labeled radiopharmaceutical Pittsburgh Compound B (PiB). Laboratory studies and preclinical evaluations to design PiB began a decade earlier than the first human PiB PET study and involved chemical modifications of different well-known dyes that bound specifically to the extended β-pleated sheets that comprise the fibrils of amyloid proteins such as Aβ plaques, NFTs, β-synuclein deposits, and prions. These preclinical studies were conducted in our laboratories at the University of Pittsburgh, starting with Congo red derivatives, followed by Chrysamine G derivatives, followed by X-series compounds, and finally with neutral derivatives of thioflavin-T. The in vitro and in vivo evaluations of the different derivatives as candidate PET radioligands for imaging Aβ plaques and neurofibrillary tangles in human brain are described in this review, along with the specific evaluation criteria by which the candidate radioligands were judged. Out of these studies came PiB, a PET radioligand that binds selectively and with high affinity to only fibrillar forms of Aβ. PiB has been used in many different human research protocols throughout the world and has demonstrated the usefulness of assessing the Aβ plaque status of subjects many years before the clinical diagnosis of probable AD. Recently, longer-lived 18F-radiolabeled Aβ-selective radiopharmaceuticals have been developed. It is likely that the full clinical impact of these imaging agents will be realized by identifying presymptomatic subjects who would benefit from early drug treatments with future disease-modifying AD therapeutics.
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
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Arnold, S. E., Hyman, B. T., Flory, J., Damasio, A. R., & Van Hoesen, G. W. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.103 · Cited by 1,380
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104
Self-citation[ 11 C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036
Self-citationRapid 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
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., Fripp, J., Tochon-Danguy, H., Morandeau, L., O'Keefe, G., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.007 · Cited by 986
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933
Self-citationLongitudinal assessment of Aβ and cognition in aging and Alzheimer disease
Villemagne, V. L., Pike, K. E., Chételat, G., Ellis, K. A., Mulligan, R. S., Bourgeat, P., Ackermann, U., Jones, G., Szoeke, C., Salvado, O., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22248 · Cited by 833
Self-citationPike, K. E., Savage, G., Villemagne, V. L., Ng, S., Moss, S. A., Maruff, P., Mathis, C. A., Klunk, W. E., Masters, C. L., & Rowe, C. C. (2007) · Brain · doi:10.1093/brain/awm238 · Cited by 789
Self-citation
Cited by
Protein Misfolding, Amyloid Formation, and Human Disease: A Summary of Progress Over the Last Decade
Chiti, F., & Dobson, C. M. (2017) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061516-045115 · Cited by 2,629
Palmqvist, S., Mattsson, N., Hansson, O., & Initiative, F. T. A. D. N. (2016) · Brain · doi:10.1093/brain/aww015 · Cited by 400
Zhang, X., Tian, Y., Li, Z., Tian, X., Sun, H., Liu, H., Moore, A., & Ran, C. (2013) · Journal of the American Chemical Society · doi:10.1021/ja405239v · Cited by 354
Cui, M., Ono, M., Watanabe, H., Kimura, H., Liu, B., & Saji, H. (2014) · Journal of the American Chemical Society · doi:10.1021/ja4052922 · Cited by 282
Huynh, T.-P. V., Davis, A. A., Ulrich, J. D., & Holtzman, D. M. (2017) · Journal of Lipid Research · doi:10.1194/jlr.r075481 · Cited by 210
Metadata
- Authors
- Mathis, C. A., Mason, N. S., Lopresti, B. J., & Klunk, W. E.
- Venue
- Seminars in Nuclear Medicine
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 42
- Issue
- 6
- Pages
- 423-432
- ISSN
- 0001-2998 (ISSN-L)
- OpenAlex
- W1976922222
- Cited by
- 175
- References
- 20
- FWCI
- 10.00
- 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: Development of Positron Emission Tomography β-Amyloid Plaque Imaging Agents. https://app.cochat.ai/papers/10.1053/j.semnuclmed.2012.07.001
- The paper
- Mathis, C. A., Mason, N. S., Lopresti, B. J., & Klunk, W. E. (2012). Development of Positron Emission Tomography β-Amyloid Plaque Imaging Agents. Seminars in Nuclear Medicine. https://doi.org/10.1053/j.semnuclmed.2012.07.001
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.
