Small vessel disease, but neither amyloid load nor metabolic deficit, is dependent on age at onset in Alzheimer’s disease.
Abstract
Background There is controversy concerning whether Alzheimer's disease (AD) with early onset is distinct from AD with late onset with regard to amyloid pathology and neuronal metabolic deficit. We hypothesized that compared with patients with early-onset AD, patients with late-onset AD have more comorbid small vessel disease (SVD) contributing to clinical severity, whereas there are no differences in amyloid pathology and neuronal metabolic deficit. Methods The study included two groups of patients with probable AD dementia with evidence of the AD pathophysiologic process: 24 patients with age at onset 70 years old. Amyloid deposition was assessed using carbon-11-labeled Pittsburgh compound B positron emission tomography, comorbid SVD was assessed using magnetic resonance imaging, and neuronal metabolic deficit was assessed using fluorodeoxyglucose positron emission tomography. Group differences of global and regional distribution of pathology were explored using region of interest and voxel-based analyses, respectively, carefully controlling for the influence of dementia severity, apolipoprotein E genotype, and in particular SVD. The pattern of cognitive impairment was determined using z scores of the subtests of the Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Assessment Battery. Results Patients with late-onset AD showed a significantly greater amount of SVD. No statistically significant differences in global or regional amyloid deposition…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Vascular pathology is part of the multifactorial mechanisms present in LOAD.
“Vascular pathology is also known to be part of the multifactorial mechanisms present in LOAD (Ortner et al., 2015; Iturria-Medina et al., 2016).”
From Effects of Alzheimer’s and Vascular Pathologies on Structural Connectivity in Early- and Late-Onset Alzheimer’s Disease (2021) · cites this paper as Ortner et al., 2015
Cites
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590 · see citing works
Effect of<i>APOE</i>genotype on amyloid plaque load and gray matter volume in Alzheimer disease
Drzezga, A., Grimmer, T., Henriksen, G., Mühlau, M., Perneczky, R., Miederer, I., Praus, C., Sorg, C., Wohlschläger, A., Riemenschneider, M., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181a2e8d0 · Cited by 248 · see citing works
Self-citationEarly onset Alzheimer’s disease is associated with a distinct neuropsychological profile
Smits, L. L., Pijnenburg, Y. A. L., Koedam, E. L. G. E., van der Vlies, A. E., Reuling, I. E. W., Koene, T., Teunissen, C. E., Scheltens, P., & van der Flier, W. M. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111934 · Cited by 182 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The overlap between vascular disease and Alzheimer’s disease - lessons from pathology
Attems, J., & Jellinger, K. A. (2014) · BMC Medicine · doi:10.1186/s12916-014-0206-2 · Cited by 739 · see citing works
“In AD neither Aβ load nor metabolic deficit are dependent on the age of disease onset, but patients with late-onset AD show a significantly higher amount of SVD that influences the association between metabolic deficit and clinical symptoms [117].”
BackgroundTract-specific white matter hyperintensities disrupt neural network function in Alzheimer’s disease
Taylor, A. N. W., Kambeitz-Ilankovic, L., Gesierich, B., Simon-Vermot, L., Franzmeier, N., Araque Caballero, M. Á., Müller, S., Hesheng, L., Ertl-Wagner, B., Bürger, K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.06.2358 · Cited by 73 · see citing works
Lee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.606600 · Cited by 12 · see citing works
- Authors
- Ortner, M., Kurz, A., Alexopoulos, P., Auer, F., Diehl-Schmid, J., Drzezga, A., Förster, S., Förstl, H., Perneczky, R., Sorg, C., Yousefi, B. H., & Grimmer, T.
- Affiliations
- TUM Klinikum (DE)
- University of Cologne (DE)
- Technical University of Munich (DE)
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 77
- Issue
- 8
- Pages
- 704-710
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2002589018
- Cited by
- 17
- References
- 3
- Citations by year
- 2023: 1 · 2022: 2 · 2021: 2 · 2020: 3 · 2019: 1 · 2018: 3 · 2017: 2 · 2016: 1 · 2015: 1 · 2014: 1
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- Alzheimer's disease, age of onset, early-onset Alzheimer's disease, late-onset Alzheimer's disease, cerebral small vessel disease, amyloid deposition, FDG-PET, amyloid PET, Pittsburgh compound B, cognitive impairment, dementia severity
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Amyloid, Aniline Compounds, Apolipoproteins E, Brain, Female, Humans, Male, Metabolic Diseases, Middle Aged, Radionuclide Imaging, Thiazoles, Vascular Diseases, Age of Onset, Fluorodeoxyglucose F18, Benzothiazoles
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