Synaptic density in carriers of C9orf72 mutations: a [11C]UCB‐J PET study
Open accessAbstract
Synaptic loss is an early and clinically relevant feature of many neurodegenerative diseases. Here we assess three adults at risk of frontotemporal dementia from C9orf72 mutation, using [11 C]UCB‐J PET to quantify synaptic density in comparison with 19 healthy controls and one symptomatic patient with behavioural variant frontotemporal dementia. The three pre‐symptomatic C9orf72 carriers showed reduced synaptic density in the thalamus compared to controls, and there was an additional extensive synaptic loss in frontotemporal regions of the symptomatic patient. [11 C]UCB‐J PET may facilitate early, pre‐symptomatic assessment, monitoring of disease progression and evaluation of new preventive treatment strategies for frontotemporal dementia.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Severe synaptic loss has been observed using 11C-UCBJ PET in series of cases with DLB, FTD, PD, PDD, PSP, CBD, and C9Orf72 mutation carriers.
“while severe synaptic loss has been observed using 11C -UCBJ PET in series of cases with DLB, FTD, PD, PDD, PSP, CBD and C9Orf72 mutation carriers [205–209].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [208]
The Results report reduced thalamic [11C]UCB-J binding in each of three presymptomatic C9orf72 mutation carriers. They describe widespread severe synaptic loss in the symptomatic FTD patient, but do not characterize the loss in all three carriers as severe. This paper supports the C9orf72 portion of the grouped citation, with that severity qualification. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221 · see citing works
Synapse Loss and Microglial Activation Precede Tangles in a P301S Tauopathy Mouse Model
Yoshiyama, Y., Higuchi, M., Zhang, B., Huang, S.-M., Iwata, N., Saido, T. C., Maeda, J., Suhara, T., Trojanowski, J. Q., & Lee, V. M.-Y. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.010 · Cited by 2,208 · see citing works
Topographic organization of the human subcortex unveiled with functional connectivity gradients
Tian, Y., Margulies, D. S., Breakspear, M. J., & Zalesky, A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00711-6 · Cited by 781 · see citing works
Erlandsson, K., Buvat, I., Pretorius, P. H., Thomas, B. A., & Hutton, B. F. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/r119 · Cited by 731 · see citing works
Rohrer, J. D., Nicholas, J. M., Cash, D. M., van Swieten, J., Dopper, E., Jiskoot, L., van Minkelen, R., Rombouts, S. A., Cardoso, M. J., Clegg, S., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70324-2 · Cited by 538 · see citing works
Self-citationChen, M.-K., Mecca, A. P., Naganawa, M., Finnema, S. J., Toyonaga, T., Lin, S.-F., Najafzadeh, S., Ropchan, J., Lu, Y., McDonald, J. W., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.1836 · Cited by 431 · see citing works
Mahoney, C., Beck, J. A., Rohrer, J. D., Lashley, T., Mok, K. Y., Shakespeare, T. J., Yeatman, T., Warrington, E. K., Schott, J. M., Fox, N. C., et al. (2012) · Brain · doi:10.1093/brain/awr361 · Cited by 431 · see citing works
Neuroimaging signatures of frontotemporal dementia genetics: C9ORF72, tau, progranulin and sporadics
Whitwell, J. L., Weigand, S. D., Boeve, B. F., Senjem, M. L., Gunter, J. L., DeJesus-Hernandez, M., Rutherford, N. J., Baker, M., Knopman, D. S., Wszolek, Z. K., et al. (2012) · Brain · doi:10.1093/brain/aws001 · Cited by 397 · see citing works
Moore, K. M., Nicholas, J., Grossman, M., McMillan, C. T., Irwin, D. J., Massimo, L., Van Deerlin, V. M., Warren, J. D., Fox, N. C., Rossor, M. N., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30394-1 · Cited by 313 · see citing works
Self-citationIn vivo measurement of widespread synaptic loss in Alzheimer’s disease with SV2A PET
Mecca, A. P., Chen, M., O'Dell, R. S., Naganawa, M., Toyonaga, T., Godek, T. A., Harris, J. E., Bartlett, H. H., Zhao, W., Nabulsi, N. B., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12097 · Cited by 288 · see citing works
Rohrer, J. D., Ridgway, G. R., Marc Modat, A., Sebastien Ourselin, A., Mead, S., Fox, N. C., Rossor, M. N., & Warren, J. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.088 · Cited by 235 · see citing works
Patterns of gray matter atrophy in genetic frontotemporal dementia: results from the GENFI study
Cash, D. M., Bocchetta, M., Thomas, D. L., Dick, K. M., van Swieten, J. C., Borroni, B., Galimberti, D., Masellis, M., Tartaglia, M. C., Rowe, J. B., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.10.008 · Cited by 200 · see citing works
Self-citationFluid Biomarkers for Synaptic Dysfunction and Loss
Camporesi, E., Nilsson, J., Brinkmalm, A., Becker, B., Ashton, N. J., Blennow, K., & Zetterberg, H. (2020) · Biomarker Insights · doi:10.1177/1177271920950319 · Cited by 165 · see citing works
In vivo and post-mortem memory circuit integrity in frontotemporal dementia and Alzheimer’s disease
Hornberger, M., Wong, S., Tan, R. H., Irish, M., Piguet, O., Kril, J. J., Hodges, J. R., & Halliday, G. M. (2012) · Brain · doi:10.1093/brain/aws239 · Cited by 165 · see citing works
Vatsavayai, S. C., Yoon, S. J., Gardner, R. C., Gendron, T. F., Vargas, J. N. S., Trujillo, A. J., Pribadi, M., Phillips, J. J., Gaus, S. E., Hixson, J., et al. (2016) · Brain · doi:10.1093/brain/aww250 · Cited by 163 · see citing works
Altered network connectivity in frontotemporal dementia with C9orf72 hexanucleotide repeat expansion
Lee, S. E., Khazenzon, A. M., Trujillo, A. J., Guo, C. C., Yokoyama, J. S., Sha, S. J., Takada, L. T., Karydas, A. M., Block, N., Coppola, G., et al. (2014) · Brain · doi:10.1093/brain/awu248 · Cited by 158 · see citing works
Bertrand, A., Wen, J., Rinaldi, D., Houot, M., Sayah, S., Camuzat, A., Fournier, C., Fontanella, S., Routier, A., Couratier, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4266 · Cited by 146 · see citing works
Assessment of a white matter reference region for <sup>11</sup> C-UCB-J PET quantification
Rossano, S., Toyonaga, T., Finnema, S. J., Naganawa, M., Lu, Y., Nabulsi, N., Ropchan, J., De Bruyn, S., Otoul, C., Stockis, A., et al. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x19879230 · Cited by 126 · see citing works
In vivo tau pathology is associated with synaptic loss and altered synaptic function
Coomans, E. M., Schoonhoven, D. N., Tuncel, H., Verfaillie, S. C. J., Wolters, E. E., Boellaard, R., Ossenkoppele, R., den Braber, A., Scheper, W., Schober, P. R., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00772-0 · Cited by 101 · see citing works
Neuronal pentraxin 2: a synapse-derived CSF biomarker in genetic frontotemporal dementia
van der Ende, E. L., Xiao, M., Xu, D., Poos, J. M., Panman, J. L., Jiskoot, L. C., Meeter, L. H., Dopper, E. G., Papma, J. M., Heller, C., et al. (2020) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2019-322493 · Cited by 94 · see citing works
Self-citationHolland, N., Jones, P. S., Savulich, G., Wiggins, J. K., Hong, Y. T., Fryer, T. D., Manavaki, R., Sephton, S. M., Boros, I., Malpetti, M., et al. (2020) · Movement Disorders · doi:10.1002/mds.28188 · Cited by 93 · see citing works
Self-citationIn vivo synaptic density loss is related to tau deposition in amnestic mild cognitive impairment
Vanhaute, H., Ceccarini, J., Michiels, L., Koole, M., Sunaert, S., Lemmens, R., Triau, E., Emsell, L., Vandenbulcke, M., & Van Laere, K. (2020) · Neurology · doi:10.1212/wnl.0000000000009818 · Cited by 88 · see citing works
Synaptic vesicle protein 2A as a potential biomarker in synaptopathies
Heurling, K., Ashton, N. J., Leuzy, A., Zimmer, E. R., Blennow, K., Zetterberg, H., Eriksson, J., Lubberink, M., & Schöll, M. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2019.02.001 · Cited by 77 · see citing works
Lipton, A. M., Cullum, C. M., Satumtira, S., Sontag, E., Hynan, L. S., White, C. L., & Bigio, E. H. (2001) · Archives of Neurology · doi:10.1001/archneur.58.8.1233 · Cited by 73 · see citing works
Bocchetta, M., Iglesias, J. E., Neason, M. R., Cash, D. M., Warren, J. D., & Rohrer, J. D. (2019) · Human Brain Mapping · doi:10.1002/hbm.24856 · Cited by 71 · see citing works
Deformation-Based Morphometry Reveals Brain Atrophy in Frontotemporal Dementia
Cardenas, V. A., Boxer, A. L., Chao, L. L., Gorno‐Tempini, M. L., Miller, B. L., Weiner, M. W., & Studholme, C. (2007) · Archives of Neurology · doi:10.1001/archneur.64.6.873 · Cited by 62 · see citing works
Thalamic atrophy in frontotemporal dementia — Not just a C9orf72 problem
Bocchetta, M., Gordón, E., Cardoso, M. J., Marc Modat, A., Sebastien Ourselin, A., Warren, J. D., & Rohrer, J. D. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.019 · Cited by 61 · see citing works
Synaptic density in healthy human aging is not influenced by age or sex: a 11C-UCB-J PET study
Michiels, L., Delva, A., van Aalst, J., Ceccarini, J., Vandenberghe, W., Vandenbulcke, M., Koole, M., Lemmens, R., & Laere, K. V. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117877 · Cited by 59 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- [1]Clare R King VG Wirenfeldt M Vinters HV Synapse loss in dementias [Internet] J Neurosci Res 2010 88 10 2083 2090 10.1002/jnr.22392 20533377 PMC3068914 · DOI · Paper page
- [6]Bang J Spina S Miller BL Frontotemporal dementia [Internet] Lancet 2015 386 10004 1672 1682 10.1016/S0140-6736(15)00461-4 26595641 PMC5970949 · DOI · Paper page
- [18]Manavaki R Hong Y Fryer TD Brain MRI coil attenuation map processing for the GE SIGNA PET/MR: Impact on PET image quantification and uniformity IEEE Nucl Sci Symp Med Imaging Conf Proceedings 2019
- [25]Sha SJ Takada LT Rankin KP Frontotemporal dementia due To C9ORF72 mutations clinical and imaging features Neurology 2012 79 10 1002 1011 22875087 PMC3430713
- [29]Garibotto V Borroni B Agosti C Subcortical and deep cortical atrophy in Frontotemporal Lobar Degeneration [Internet] Neurobiol Aging 2011 32 5 875 884 10.1016/j.neurobiolaging.2009.05.004 19501427 · DOI
Cited by
Sorted by citations
Mead, R. J., Shan, N., Reiser, H. J., Marshall, F., & Shaw, P. J. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00612-2 · Cited by 505 · see citing works
The use of neuroimaging techniques in the early and differential diagnosis of dementia
Chouliaras, L., & O’Brien, J. T. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02215-8 · Cited by 186 · see citing works
Self-citationArtificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Winchester, L. M., Harshfield, E. L., Shi, L., Badhwar, A., Khleifat, A. A., Clarke, N., Dehsarvi, A., Lengyel, I., Lourida, I., Madan, C. R., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13390 · Cited by 130 · see citing works
Self-citationImaging of Synaptic Density in Neurodegenerative Disorders
Carson, R. E., Naganawa, M., Toyonaga, T., Koohsari, S., Yang, Y., Chen, M.-K., Matuskey, D., & Finnema, S. J. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263201 · Cited by 104 · see citing works
Malpetti, M., Jones, P. S., Cope, T. E., Holland, N., Naessens, M., Rouse, M. A., Rittman, T., Savulich, G., Whiteside, D. J., Street, D., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26543 · Cited by 53 · see citing works
Self-citationVisser, M., O’Brien, J. T., & Mak, E. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102197 · Cited by 28 · see citing works
Self-citationIn vivo exploration of synaptic projections in frontotemporal dementia
Salmon, E., Bahri, M. A., Plenevaux, A., Becker, G., Seret, A., Delhaye, E., Degueldre, C., Balteau, E., Lemaire, C., Luxen, A., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-95499-1 · Cited by 21 · see citing works
Neurophysiological consequences of synapse loss in progressive supranuclear palsy
Adams, N. E., Jafarian, A., Perry, A., Rouse, M. A., Shaw, A. D., Murley, A. G., Cope, T. E., Bevan-Jones, W. R., Passamonti, L., Street, D., et al. (2023) · Brain · doi:10.1093/brain/awac471 · Cited by 21 · see citing works
Self-citationFieldhouse, J. L. P., van Paassen, D. N., van Engelen, M.-P. E., De Boer, S. C. M., Hartog, W. L., Braak, S., Schoonmade, L. J., Schouws, S. N. T. M., Krudop, W. A., Oudega, M. L., et al. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1382593 · Cited by 8 · see citing works
- Authors
- Malpetti, M., Holland, N., Jones, P. S., Ye, R., Cope, T. E., Fryer, T. D., Hong, Y. T., Savulich, G., Rittman, T., Passamonti, L., Mak, E., Aigbirhio, F. I., O’Brien, J. T., & Rowe, J. B.
- Affiliations
- University of Cambridge (GB)
- MRC Cognition and Brain Sciences Unit (GB)
- Cambridge University Hospitals NHS Foundation Trust Cambridge UK
- Corresponding author
- Malpetti, Maura
- ORCID
- Venue
- Annals of Clinical and Translational Neurology
- Publisher
- Wiley
- Published
- 2021-06-16
- Volume
- 8
- Issue
- 7
- Pages
- 1515-1523
- ISSN
- 2328-9503 (ISSN-L)
- PMC
- PMC8283163
- OpenAlex
- W3166602195
- Cited by
- 44
- References
- 28
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 12 · 2023: 11 · 2022: 12 · 2021: 1
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Annals of Clinical and Translational Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Wellcome Trust (220258)
- NIHR Cambridge Biomedical Research Centre (BRC‐1215‐20014)
- Topics
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- C9orf72 mutation, frontotemporal dementia, synaptic density, behavioral variant frontotemporal dementia, neurodegeneration, early disease detection
- MeSH terms
- C9orf72 Protein, Carbon Radioisotopes, Female, Heterozygote, Humans, Male, Middle Aged, Mutation, Pyridines, Pyrrolidinones, Synapses, Positron-Emission Tomography, Frontotemporal Dementia
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