Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50–89 years: a cross-sectional study
Open accessAbstract
Background As preclinical Alzheimer's disease becomes a target for therapeutic intervention, the overlap between imaging abnormalities associated with typical ageing and those associated with Alzheimer's disease needs to be recognised. We aimed to characterise how typical ageing and preclinical Alzheimer's disease overlap in terms of β-amyloidosis and neurodegeneration. Methods We measured age-specific frequencies of amyloidosis and neurodegeneration in individuals with normal cognitive function aged 50-89 years. Potential participants were randomly selected from the Olmsted County (MN, USA) population-based study of cognitive ageing and invited to participate in cognitive and imaging assessments. To be eligible for inclusion, individuals must have been judged clinically to have no cognitive impairment and have undergone amyloid PET, (18)F-fluorodeoxyglucose ((18)F-FDG) PET, and MRI. Imaging results were obtained from March 28, 2006, to Dec 3, 2013. Amyloid status (positive [A(+)] or negative [A(-)]) was determined by amyloid PET with (11)C Pittsburgh compound B. Neurodegeneration status (positive [N(+)] or negative [N(-)]) was determined by an Alzheimer's disease signature (18)F-FDG PET or hippocampal volume on MRI. We determined age-specific frequencies of the four groups (amyloid negative and neurodegeneration negative [A(-)N(-)], amyloid positive and neurodegeneration negative [A(+)N(-)], amyloid negative and neurodegeneration positive [A(-)N(+)], or amyloid positive and neurodegeneration positive [A(+)N(+)]) cross-sectionally using multinomial regression models. We also investigated associations of group frequencies with APOE ɛ4 status (assessed with DNA extracted from blood) and sex by including these covariates in the multinomial models. Findings The study population consisted of 985 eligible participants. The population frequency of A(-)N(-) was 100% (n=985) at age 50 years and fell to 17% (95% CI 11-24) by age 89 years. The frequency of A(+)N(-) increased to 28% (24-32) at age 74 years, then decreased to 17% (11-25) by age 89 years. The frequency of A(-)N(+) increased from age 60 years, reaching 24% (16-34) by age 89 years. The frequency of A(+)N(+) increased from age 65 years, reaching 42% (31-52) by age 89 years. The results from our multinomial models suggest that A(+)N(-) and A(+)N(+) were more frequent in APOE ɛ4 carriers than in non-carriers and that A(+)N(+) was more, and A(+)N(-) less frequent in men than in women. Interpretation Accumulation of amyloid and neurodegeneration are nearly inevitable by old age, but many people are able to maintain normal cognitive function despite these imaging abnormalities. Changes in the frequency of amyloidosis and neurodegeneration with age, which seem to be modified by APOE ɛ4 and sex, suggest that pathophysiological sequences might differ between individuals. Funding US National Institute on Aging and Alexander Family Professorship of Alzheimer's Disease Research.
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?
Up to 60% of CU individuals over age 80 years have AD neuropathologic changes at autopsy or by biomarkers.
“Up to 60% of CU individuals over age 80 years have AD neuropathologic changes at autopsy or by biomarkers [60,152,212–214].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [214]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 40 · Cited by 358
Research works printed but not linked: 31
- [1]Villemagne VL Burnham S Bourgeat P Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol 2013 12 357 67 23477989
- [2]Sperling RA Aisen PS Beckett LA Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Assocation workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011 7 280 92 21514248 PMC3220946
- [3]Dubois B Feldman HH Jacova C Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet Neurol 2014 13 614 29 24849862
- [4]Fagan AM Xiong C Jasielec MS Longitudinal Change in CSF Biomarkers in Autosomal-Dominant Alzheimer's Disease. Science translational medicine 2014 6 226ra30 PMC4038930 24598588
- [5]Benzinger TL Blazey T Jack CR Jr. Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease. Proc Natl Acad Sci U S A 2013 110 E4502 9 24194552 PMC3839740
- [6]Jack CR Jr. Vemuri P Wiste HJ Evidence for Ordering of Alzheimer Disease Biomarkers. Arch Neurol 2011 68 1526 35 21825215 PMC3387980
- [7]Nelson PT Head E Schmitt FA Alzheimer's disease is not “brain aging”: neuropathological, genetic, and epidemiological human studies. Acta neuropathologica 2011 121 571 87 21516511 PMC3179861
- [9]Fjell AM McEvoy L Holland D Dale AM Walhovd KB Brain changes in older adults at very low risk for Alzheimer's disease. J Neurosci 2013 33 8237 42 23658162 PMC4050197
- [10]Wirth M Villeneuve S Haase CM Associations Between Alzheimer Disease Biomarkers, Neurodegeneration, and Cognition in Cognitively Normal Older People. JAMA Neurol 2013 PMC4962545 24166579
- [11]Jack CR Jr. Knopman DS Weigand SD An operational approach to NIA-AA crtiteria for preclinical Alzheimer's disease. Ann Neurol 2012 71 765 75 22488240 PMC3586223
- [12]Jack CR Jr. Wiste HJ Knopman DS Rates of beta-amyloid accumulation are independent of hippocampal neurodegeneration. Neurology 2014 82 1605 12 24706010 PMC4013810
- [13]Jack CR Jr. Wiste HJ Weigand SD Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity. Neurology 2013 Epub 10/18/2013 (DOI:10.1212/01.wnl.0000435556.21319.e4) PMC3821718 24132377 · DOI
- [14]Roberts RO Geda YE Knopman DS The Mayo Clinic Study of Aging: design and sampling, participation, baseline measures and sample characteristics. Neuroepidemiology 2008 30 58 69 18259084 PMC2821441
- [15]St Sauver JL Grossardt BR Leibson CL Yawn BP Melton LJ 3rd Rocca WA Generalizability of epidemiological findings and public health decisions: an illustration from the Rochester Epidemiology Project. Mayo Clinic proceedings Mayo Clinic 2012 87 151 60 PMC3538404 22305027
- [16]Hixson JE Vernier DT Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. J Lipid Res 1990 31 545 8 2341813
- [17]Landau SM Harvey D Madison CM Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging 2011 32 1207 18 19660834 PMC2891865
- [19]Jagust W Vulnerable neural systems and the borderland of brain aging and neurodegeneration. Neuron 2013 77 219 34 23352159 PMC3558930
- [20]Chetelat G Alzheimer disease: Abeta-independent processes-rethinking preclinical AD. Nature reviews Neurology 2013 9 123 4 PMC3935395 23399647
- [21]Knopman DS Jack CR Jr. Wiste HJ Brain injury biomarkers are not dependent on beta-amyloid in normal elderly. Ann Neurol 2013 73 472 80 23424032 PMC3660408
- [22]Rowe CC Ellis KA Rimajova M Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging. Neurobiol Aging 2010 31 1275 83 20472326
- [23]Knopman DS Jack CR Jr. Wiste HJ Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease. Neurology 2012 78 1576 82 22551733 PMC3348848
- [25]Braak H Thal DR Ghebremedhin E Del Tredici K Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years. J Neuropathol Exp Neurol 2011 70 960 9 22002422
- [26]Duyckaerts C Hauw JJ Prevalence, incidence and duration of Braak's stages in the general population: can we know? Neurobiol Aging 1997 18 362 9 discussion 89-92 9380250
- [27]Jack CR Jr. Holtzman DM Biomarker modeling of Alzheimer's Disease. Neuron 2013 80 1347 58 24360540 PMC3928967
- [28]Jack CR Jr. Knopman DS Jagust WJ Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol 2013 12 207 16 23332364 PMC3622225
- [29]Jack CR Jr. Knopman DS Jagust WJ Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol 2010 9 119 28 20083042 PMC2819840
- [34]DeCarli C Massaro J Harvey D Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiol Aging 2005 26 491 510 15653178
- [35]Savica R Grossardt BR Bower JH Boeve BF Ahlskog JE Rocca WA Incidence of dementia with Lewy bodies and Parkinson disease dementia. JAMA Neurol 2013 70 1396 402 24042491 PMC4181848
- [37]Altmann A Tian L Henderson VW Greicius MD Sex modifies the APOE-related risk of developing Alzheimer disease. Ann Neurol 2014 Epub ahead of print PMC4117990 24623176
- [38]Villain N Chetelat G Grassiot B Regional dynamics of amyloid-beta deposition in healthy elderly, mild cognitive impairment and Alzheimer's disease: a voxelwise PiB-PET longitudinal study. Brain 2012 135 2126 39 22628162
- [39]Jack CR Jr. Wiste HJ Lesnick TG Brain beta-amyloid load approaches a plateau. Neurology 2013 80 890 6 23446680 PMC3653215
- Authors
- Jack, C. R., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Preboske, G. M., Pankratz, V. S., Vemuri, P., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Jack, Clifford R
- ORCID
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 13
- Issue
- 10
- Pages
- 997-1005
- ISSN
- 1474-4422 (ISSN-L)
- PMC
- PMC4324499
- OpenAlex
- W2112882050
- Cited by
- 358
- References
- 40
- Citations by year
- 2026: 9 · 2025: 22 · 2024: 21 · 2023: 16 · 2022: 25 · 2021: 23 · 2020: 39 · 2019: 25 · 2018: 42 · 2017: 42 · 2016: 43 · 2015: 46 · 2014: 5
- FWCI
- 34.62
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging
- 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 › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- preclinical Alzheimer's disease, neurodegeneration, amyloid PET, FDG-PET, hippocampal volume, APOE ε4, sex differences, age-specific prevalence, Olmsted County cohort, Pittsburgh compound B, cognitive aging, neuroimaging biomarkers, Olmsted County
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Amyloidosis, Aniline Compounds, Apolipoproteins E, Cognition, Cross-Sectional Studies, DNA, Educational Status, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Thiazoles, Verbal Learning, Cohort Studies, Age Distribution, Radiopharmaceuticals, Neurodegenerative Diseases, Positron-Emission Tomography
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