Cited by 50Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth

Open access
Murphy, Kelly R., Landau, Susan M., Choudhury, Kingshuk Roy, Hostage, Christopher A., Shpanskaya, Katie S., Sair, Haris I., Petrella, Jeffrey R., Wong, Terence Z. +1 more·2013·NeuroImage

Abstract

Background Although it is well known that many clinical and genetic factors have been associated with beta-amyloid deposition, few studies have examined the interactions of such factors across different stages of Alzheimer's pathogenesis. Methods We used 18F-florbetapir F18 PET imaging to quantify neuritic beta-amyloid plaque density across four cortical regions in 602 elderly (55-94 years) subjects from the national ADNI biomarker study. The group comprised of 194 normal elderly, 212 early mild cognitive impairment [EMCI], 132 late mild cognitive impairment [LMCI], and 64 mild Alzheimer's (AD). Findings In a model incorporating multiple predictive factors, the effect of apolipoprotein E ε4 and diagnosis was significant on all four cortical regions. The highest signals were seen in cingulate followed by frontal and parietal with lowest signals in temporal lobe (p<0.0001). The effect of apolipoprotein E ε4 (Cohen's D 0.96) on beta-amyloid plaque density was approximately twice as large as the effect of a diagnosis of AD (Cohen's D 0.51) and thrice as large as the effect of a diagnosis of LMCI (Cohen's D 0.34) (p<0.0001). Surprisingly, ApoE ε4+ normal controls had greater mean plaque density across all cortical regions than ε4- EMCI and ε4- LMCI (p<0.0001, p=0.0009) and showed higher, though non-significant, mean value than ε4- AD patients (p<0.27). ApoE ε4+ EMCI and LMCI subjects had significantly greater mean plaque density across all cortical regions than ε4- AD patients (p<0.027, p<0.0001). Interpretation Neuritic amyloid plaque load across progressive clinical stages of AD varies strongly by ApoE4 genotype. These findings support the need for better pathology-based and supported diagnosis in routine practice. Our data also provides additional evidence for a temporal offset between amyloid deposition and clinically relevant symptoms.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2013.04.048

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • APOE's role in promoting β-amyloid plaque pathology in Alzheimer's disease is well established.

    “In AD, its specific role in promoting β-amyloid (Aβ) plaque pathology is, however, well established (Fleisher et al, 2013; Kok et al, 2009; Murphy et al, 2013; Schmechel et al, 1993).”

    From APOE from astrocytes restores Alzheimer’s Aβ-pathology and DAM-like responses in APOE deficient microglia (2024) · cites this paper as Murphy et al, 2013

    The Findings and Discussion report that ApoE ε4 is strongly associated with higher β-amyloid plaque density, including among people diagnosed with AD. The study describes this as an association and predictor of pathology; it does not establish that APOE causally promotes plaque formation. (LLM, conf=0.82)

    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

Flagged first, then by citations

Research works printed but not linked: 27

  1. [1]Bahar-Fuchs A Villemagne V 2012 Prediction of Amyloid-beta Pathology in Amnestic Mild Cognitive Impairment with Neuropsychological Tests J Alzheimers Dis 23011220
  2. [2]Barthel H Gertz HJ 2011 Cerebral amyloid-beta PET with florbetaben (18F) in patients with Alzheimer’s disease and healthy controls: a multicentre phase 2 diagnostic study Lancet Neurol 10 5 424 35 21481640
  3. [3]Bateman RJ Xiong C 2012 Clinical and biomarker changes in dominantly inherited Alzheimer’s disease N Engl J Med 367 9 795 804 22784036 PMC3474597
  4. [5]Chetelat G Villemagne VL 2012 Relationship between memory performance and beta-amyloid deposition at different stages of Alzheimer’s disease Neurodegener Dis 10 1–4 141 4 22301812
  5. [6]Clark CM Schneider JA Bedell BJ Use of florbetapir-PET for imaging beta-amyloid pathology JAMA 2011 305 275 283 21245183 PMC7041965
  6. [7]Doraiswamy PM Sperling RA 2012 Amyloid-beta assessed by florbetapir F 18 PET and 18-month cognitive decline: A multicenter study Neurology 79 16 1636 1644 22786606 PMC3468774
  7. [9]Fleisher AS Chen K Liu X Apolipoprotien E ε4 and age effects on florbetapir positron emission tomography in healthy aging and Alzheimer disease Neurobiol Aging 2013 34 1 1 12 22633529
  8. [10]Fleisher AS Chen K 2011 Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease Arch Neurol 68 11 1404 11 21747008
  9. [11]Fleisher AS Chen K Quiroz YT Florbetapir PET analyses of amyloid depositon in the presenelin 1 E280A autosomal dominant Alzheimer’s disease kindred: a cross-sectional study Lancet Neurology 2012 (Epub) PMC3515078 23137949
  10. [12]Frisoni GB Alzheimer disease: biomarker trajectories across stages of Alzheimer disease Nat Rev Neurol 2012 5 8 8 6 299 300 22565208
  11. [13]Grimmer T Tholen S 2010 Progression of cerebral amyloid load is associated with the apolipoprotein E epsilon4 genotype in Alzheimer’s disease Biol Psychiatry 68 10 879 84 20598287 PMC3045041
  12. [14]Huang C Wahlund LO Svennson L Winblad B Julin P Cingulate cortex hypoperfusion predicts Alzheimer’s disease in MCI patients BMC Neurology 2002 2 9 12227833 PMC128832
  13. [15]Huang Y Potter R 2012 Effects of age and amyloid deposition on Abeta dynamics in the human central nervous system Arch Neurol 69 1 51 8 21911660 PMC3254706
  14. [17]Kantarci K Lowe V 2012 APOE modifies the association between Abeta load and cognition in cognitively normal older adults Neurology 78 4 232 40 22189452 PMC3280056
  15. [18]Landau SM Mintun MA Joshi AD Amyloid deposition, hypometabolism, and longitudinal cognitive decline Annals of Neurology 2012 (Epub). PMC3786871 23109153
  16. [19]Mosconi L Rinne JO 2010 Increased fibrillar amyloid-{beta} burden in normal individuals with a family history of late-onset Alzheimer’s Proc Natl Acad Sci U S A 107 13 5949 54 20231448 PMC2851906
  17. [20]Nordberg A Rinne JO Kadir A Långström B The use of PET in Alzheimer disease Nat Rev Neurol 2010 6 78 87 20139997
  18. [21]Pievani M de Haan W Wu T Seeley WW Frisoni GB Functional network disruption in the degenerative dementias Lancet Neurol 10 9 829 43 201 21778116 PMC3219874
  19. [23]Selkoe DJ Preventing Alzheimer’s disease Science 337 6101 1488 92 2012 22997326
  20. [24]Small GW Siddarth P 2009 Influence of cognitive status, age, and APOE-4 genetic risk on brain FDDNP positron-emission tomography imaging in persons without dementia Arch Gen Psychiatry 66 1 81 7 19124691 PMC2693405
  21. [25]Sojkova J Zhou Y 2011 Longitudinal patterns of beta-amyloid deposition in nondemented older adults Arch Neurol 68 5 644 9 21555640 PMC3136195
  22. [26]Sperling RA Aisen PS Beckett LA Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging and the Alzheimer’s Association workgroup Alzheimers Dement 2011 7 280 92 21514248 PMC3220946
  23. [27]Sperling RA Johnson KA 2012 Amyloid deposition detected with florbetapir F 18 ((18)F-AV-45) is related to lower episodic memory performance in clinically normal older individuals Neurobiol Aging PMC3518678 22878163
  24. [28]Swaminathan S Shen L 2012 Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort Brain Imaging Behav 6 1 1 15 21901424 PMC3256261
  25. [29]The National Institute on Aging and Reagan Institute Working Group on diagnostic Criteria for the neuropathological Assessment of Alzheimer’s disease Neurobiology of Aging 1997 18 S1 S2 9330978
  26. [30]Vlassenko AG Mintun MA 2011 Amyloid-beta plaque growth in cognitively normal adults: longitudinal [11C]Pittsburgh compound B data Ann Neurol 70 5 857 61 22162065 PMC3243969
  27. [31]Weiner MW Aisen PS Jack CR Jr Alzheimer’s Disease Neuroimaging Initiative Alzheimer’s disease neuroimaging initiative: progress report and future plans Alzheimer’s Dement 2010 6 202 11 20451868 PMC2927112

Cited by

Sorted by citations

Authors
Murphy, K. R., Landau, S. M., Choudhury, K. R., Hostage, C. A., Shpanskaya, K. S., Sair, H. I., Petrella, J. R., Wong, T. Z., & Doraiswamy, P. M.
Affiliations
  • Duke Medical Center (US)
  • University of California, Berkeley (US)
  • Johns Hopkins University (US)
Corresponding author
Doraiswamy, P. Murali
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-09
Volume
78
Pages
474-480
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2054176143
Cited by
50
References
4
Citations by year
2026: 2 · 2025: 2 · 2024: 6 · 2022: 2 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 4 · 2017: 7 · 2016: 3 · 2015: 8 · 2014: 3 · 2013: 1
FWCI
3.25
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Alzheimer's Disease Neuroimaging Initiative (ADNI) (U01 AG024904)
  • NIH (P30 AG010129, K01 AG030514)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords
APOE ε4, amyloid plaques, 18F-florbetapir PET, Alzheimer's disease, mild cognitive impairment, age effects, cingulate cortex, ADNI
MeSH terms
Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid, Aniline Compounds, Brain, Brain Mapping, Ethylene Glycols, Female, Fluorine Radioisotopes, Humans, Male, Middle Aged, Radiopharmaceuticals, Positron-Emission Tomography, Apolipoprotein E4, Plaque, Amyloid, Cognitive Dysfunction

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