Cited by 58Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

A 2-process model for neuropathology of Alzheimer's disease

Open access
Mungas, Dan, Tractenberg, Rochelle, Schneider, Julie A., Crane, Paul K., Bennett, David A.·2014·Neurobiology of Aging

Abstract

This study examined relations among neuritic and diffuse plaques, neurofibrillary tangles, age, and apolipoprotein E (APOE) in 2 large samples of neuropathology cases, the Religious Orders Study and the Memory and Aging Project. Cognitive status ranged from normal to demented and AD neuropathology ranged from none to severe. Confirmatory factor analysis identified a best-fitting 4-factor solution to describe interrelationships among plaques and tangles: a global neuritic plaque factor; a global diffuse plaque factor; a factor defined by medial temporal neurofibrillary tangles; and a neocortical tangle factor. Results supported a hypothesis that neuritic plaques mediate the association of age and APOE with neocortical tangles, and similarly mediate the effect of APOE on medial temporal tangles. However, medial temporal tangles were related to age independent of neuritic plaques. These results support a primary amyloid-based AD process that accounts for neocortical tangles and makes the largest contribution to medial temporal tangles. A second, age-related but non-amyloid process likely contributes to medial temporal lobe tangles.

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.neurobiolaging.2013.08.007

Cites

14 of 14 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?

  • Relative to the APOEε3 homozygote reference group, carrying one or two APOEε4 alleles is independently associated with a higher Aβ plaque burden and more severe cerebral amyloid angiopathy, whereas APOEε2/ε2 and ε2/ε3 individuals have fewer Aβ plaques but are more likely to have cerebral amyloid angiopathy.

    “Relative to the APOEε3 homozygote reference group, carrying one or two APOEε4 alleles is independently associated with a higher Aβ plaque burden and more severe cerebral amyloid angiopathy (CAA), whereas APOEε2/ε2 and ε2/ε3 individuals have fewer Aβ plaques46–50 but are more likely to have CAA51.”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [47]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Most studies agree that the APOEε4-linked effect on tau neurofibrillary tangles is primarily indirect, mediated through its increase of Aβ plaque burden.

    “In contrast to Aβ pathology, the existence of a direct effect of APOE genotype on the severity of tau neurofibrillary tangle pathology remains controversial, with most studies agreeing that APOEε4-linked effect on tangles is primarily indirect, mediated through its increase of Aβ plaque burden46–48,53.”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [47]

    The Abstract and Discussion (page numbers not supplied) report evidence that neuritic plaques mediate the association of APOE ε4 with tangles, especially neocortical tangles. The paper does not establish that most studies agree, and its Discussion cautions that its correlational data cannot establish the proposed causal pathway. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • After controlling for the presence and severity of Alzheimer disease neuropathology and comorbid pathologies, carrying the APOEε4 allele might still accelerate the rate of cognitive decline in the normal ageing-sporadic Alzheimer disease continuum, whereas carrying the APOEε2 allele might slow down cognitive decline.

    “However, after controlling for the presence and severity of AD neuropathology and comorbid pathologies, carrying the APOEε4 allele might still accelerate the rate of cognitive decline in the normal ageing-sporadic AD continuum, whereas carrying the APOEε2 allele might slow down cognitive decline47,77,80,81.”

    From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [47]

    The Results (Structural Model) examine APOE’s relationship with plaques and tangles, not its effect on the rate of cognitive decline after controlling for pathology. The Discussion says comorbid pathologies were not incorporated and calls for future analyses of their relationship with APOE and cognitive decline. Searches for APOE ε2 and cognitive decline yielded no passage establishing either allele-specific claim. (LLM, conf=0.76)

    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: 32

  1. Baugh CM Stamm JM Riley DO Gavett BE Shenton ME Lin A Nowinski CJ Cantu RC McKee AC Stern RA Chronic traumatic encephalopathy: neurodegeneration following repetitive concussive and subconcussive brain trauma Brain Imaging and Behavior 2012 6 244 254 22552850
  2. Bennett DA Schneider JA Aggarwal NT Arvanitakis Z Shah RC Kelly JF Fox JH Cochran EJ Arends D Treinkman AD Wilson RS Decision rules guiding the clinical diagnosis of Alzheimer’s disease in two community-based cohort studies compared to standard practice in a clinic-based cohort study Neuroepidemiology 2006 27 169 176 17035694
  3. Bennett DA Schneider JA Tang Y Arnold SE Wilson RS The effect of social networks on the relation between Alzheimer’s disease pathology and level of cognitive function in old people: a longitudinal cohort study Lancet Neurology 2006 5 406 412 16632311
  4. Bennett DA Schneider JA Wilson RS Bienias JL Arnold SE Neurofibrillary tangles mediate the association of amyloid load with clinical Alzheimer disease and level of cognitive function Archives of Neurology 2004 61 378 384 15023815
  5. Bennett DA Wilson RS Schneider JA Evans DA Beckett LA Aggarwal NT Barnes LL Fox JH Bach J Natural history of mild cognitive impairment in older persons Neurology 2002 59 198 205 12136057
  6. Bentler PM Comparative fit indices in structural models Psychological Bulletin 1990 107 238 246 2320703
  7. Boyle PA Wilson RS Aggarwal NT Tang Y Bennett DA Mild cognitive impairment: risk of Alzheimer disease and rate of cognitive decline Neurology 2006 67 441 445 16894105
  8. Buchman AS Boyle PA Wilson RS Beck TL Kelly JF Bennett DA Apolipoprotein E e4 allele is associated with more rapid motor decline in older persons Alzheimer’s Disease and Associated Disorders 2009 23 63 69 PMC2662708 19266700
  9. Dickson DW Neuropathology of non-Alzheimer degenerative disorders International Journal of Clinical and Experimental Pathology 2009 3 1 23 19918325 PMC2776269
  10. Dowling NM Tomaszewski Farias S Reed BR Sonnen JA Strauss ME Schneider JA Bennett DA Mungas D Neuropathological associates of multiple cognitive functions in two community-based cohorts of older adults Journal of the International Neuropsychological Society 2011 17 602 614 21092373 PMC3376403
  11. Gomez-Isla T Spires T De Calignon A Hyman BT Neuropathology of Alzheimer’s disease Handbook of Clinical Neurology 2008 89 233 243 18631748
  12. Hardy JA Higgins GA Alzheimer’s disease: the amyloid cascade hypothesis. [Review] Science 1992 256 5054 184 185 1566067
  13. Hyman BT The neuropathological diagnosis of Alzheimer’s disease: clinical-pathological studies Neurobiology of Aging 1997 18 S27 32 9330982
  14. Jack CR Jr. Knopman DS Jagust WJ Shaw LM Aisen PS Weiner MW Petersen RC Trojanowski JQ Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade Lancet Neurology 2010 9 119 128 20083042 PMC2819840
  15. Jellinger KA Bancher C Senile dementia with tangles (tangle predominant form of senile dementia) Brain Pathology 1998 8 367 376 9546293 PMC8098213
  16. Klein WL Stine WB Jr. Teplow DB Small assemblies of unmodified amyloid beta-protein are the proximate neurotoxin in Alzheimer’s disease Neurobiology of Aging 2004 25 569 580 15172732
  17. Longstreth WT Jr. Sonnen JA Koepsell TD Kukull WA Larson EB Montine TJ Associations between microinfarcts and other macroscopic vascular findings on neuropathologic examination in 2 databases Alzheimer’s Disease and Associated Disorders 2009 23 291 294 PMC2919361 19812473
  18. Mirra SS Heyman A McKeel D Sumi SM Crain BJ Brownlee LM Vogel FS Hughes JP van Belle G Berg L The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease Neurology 1991 41 479 486 2011243
  19. Murray ME DeJesus-Hernandez M Rutherford NJ Baker M Duara R Graff-Radford NR Wszolek ZK Ferman TJ Josephs KA Boylan KB Rademakers R Dickson DW Clinical and neuropathologic heterogeneity of c9FTD/ALS associated with hexanucleotide repeat expansion in C9ORF72 Acta Neuropathol 2011 122 673 690 22083254 PMC3277860
  20. Muthén LK Muthén BO Mplus User’s Guide 1998-2012 Muthén & Muthén Los Angeles, CA Seventh Edition
  21. Nelson PT Braak H Markesbery WR Neuropathology and cognitive impairment in Alzheimer disease: a complex but coherent relationship Journal of Neuropathology and Experimental Neurology 2009 68 1 14 19104448 PMC2692822
  22. Schneider JA Arvanitakis Z Leurgans SE Bennett DA The neuropathology of probable Alzheimer disease and mild cognitive impairment Annals of Neurology 2009 66 200 208 19743450 PMC2812870
  23. Schneider JA Bienias JL Wilson RS Berry-Kravis E Evans DA Bennett DA The apolipoprotein E epsilon4 allele increases the odds of chronic cerebral infarction [corrected] detected at autopsy in older persons Stroke 2005 36 954 959 15774818
  24. Selkoe DJ The molecular pathology of Alzheimer’s disease. [Review] Neuron 1991 6 4 487 498 1673054
  25. Sonnen JA Larson EB Crane PK Haneuse S Li G Schellenberg GD Craft S Leverenz JB Montine TJ Pathological correlates of dementia in a longitudinal, population-based sample of aging Annals of Neurology 2007 62 406 413 17879383
  26. Sonnen JA Montine KS Quinn JF Kaye JA Breitner JC Montine TJ Biomarkers for cognitive impairment and dementia in elderly people Lancet Neurology 2008 7 704 714 18635019 PMC2710375
  27. Thal DR Griffin WS Braak H Parenchymal and vascular Abeta-deposition and its effects on the degeneration of neurons and cognition in Alzheimer’s disease Journal of Cellular and Molecular Medicine 2008 12 1848 1862 18624777 PMC4506155
  28. Troncoso JC Zonderman AB Resnick SM Crain B Pletnikova O O’Brien RJ Effect of infarcts on dementia in the Baltimore longitudinal study of aging Annals of Neurology 2008 64 168 176 18496870 PMC2694129
  29. Wilson R Barnes L Bennett D Assessment of lifetime participation in cognitively stimulating activities Journal of Clinical and Experimental Neuropsychology 2003 25 634 642 12815501
  30. Wilson RS Beckett LA Barnes LL Schneider JA Bach J Evans DA Bennett DA Individual differences in rates of change in cognitive abilities of older persons Psychology and Aging 2002 17 179 193 12061405
  31. Wilson RS Mendes De Leon CF Barnes LL Schneider JA Bienias JL Evans DA Bennett DA Participation in cognitively stimulating activities and risk of incident Alzheimer disease Journal of American Medical Association 2002 287 742 748 11851541
  32. Wilson RS Nag S Boyle PA Hizel LP Yu L Buchman AS Schneider JA Bennett DA Neural reserve, neuronal density in the locus ceruleus, and cognitive decline Neurology 2013 80 1202 1208 23486878 PMC3691778

Cited by

Sorted by citations

Authors
Mungas, D., Tractenberg, R., Schneider, J. A., Crane, P. K., & Bennett, D. A.
Affiliations
  • University of California, Davis (US)
  • Georgetown University (US)
  • Rush University Medical Center (US)
  • University of Washington (US)
Corresponding author
Mungas, Dan
Venue
Neurobiology of Aging
Publisher
Elsevier BV
Published
2014-02
Volume
35
Issue
2
Pages
301-308
ISSN
0197-4580 (ISSN-L)
OpenAlex
W2094158890
Cited by
58
References
14
Citations by year
2026: 4 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 6 · 2019: 2 · 2018: 4 · 2017: 7 · 2016: 6 · 2015: 10 · 2014: 7 · 2013: 1
FWCI
5.57
Type
journal article
Language
en
Open access
Locations
  • Neurobiology of Aging (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
National Institute on Aging (P30 AG10161, R01 AG15819, R13 AG030995)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, neuropathology, neuritic plaques, diffuse plaques, neurofibrillary tangles, apolipoprotein E, age, medial temporal lobe, amyloid hypothesis, Religious Orders Study, cognitive status
MeSH terms
Aged, Aged, 80 and over, Aging, Alzheimer Disease, Apolipoproteins E, Brain, Female, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Models, Statistical, Cohort Studies, Neurofibrillary Tangles, Plaque, Amyloid

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