Cited by 98Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

A nonhuman primate model of early Alzheimer's disease pathologic change: Implications for disease pathogenesis

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Latimer, Caitlin S., Shively, Carol A., Keene, C. Dirk, Jorgensen, Matthew J., Andrews, Rachel N., Register, Thomas C., Montine, Thomas J., Wilson, Angela M. +6 more·2019·Alzheimer's & Dementia

Abstract

Introduction: Nonhuman primates may serve as excellent models of sporadic age‐associated brain β‐amyloid deposition and Alzheimer's disease pathologic changes. We examined whether a vervet nonhuman primate model recapitulated pathologic, physiologic, and behavioral features of early Alzheimer's disease. Methods: Nine middle‐aged (mean = 11.2 years) and nine aged (mean = 21.7 years) female vervet/African green monkeys underwent cerebrospinal fluid collection, gait speed measurement, and neuroimaging before neuropathologic assessment. Results: β‐amyloid plaques were identified in all aged vervets and paired helical filament tau immunoreactivity was observed in all animals. Cerebrospinal fluid β‐amyloid 42 and gait speed correlated negatively with age and plaque density. Greater plaque and paired helical filament tau burden predicted reduced volumes and CMRg in several brain regions. Discussion: We observed a coordinated set of relationships among neuropathologic, cerebrospinal fluid, imaging, and behavioral modalities consistent with early Alzheimer's disease. Our results support future use of the vervet model to explore disease mechanisms, biomarkers, and novel therapeutic strategies.

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Crossref · 10.1016/j.jalz.2018.06.3057

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  • Vervets show amyloid deposits but do not have neurofibrillary tangles or tauopathy, so they do not present generalized neurodegeneration.

    “However, there are several limitations; vervets show amyloid deposits but do not have neurofibrillary tangles or tauopathy; therefore, they do not present generalized neurodegeneration.”

    From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [153]

    The Results (Neuropathology; page not provided) report amyloid plaques and no classic neurofibrillary tangles in the examined vervets, but also report tau immunoreactivity in all animals. The Discussion (Limitations and future directions; page not provided) says vervets lack prominent humanoid tauopathy and widespread neurodegeneration, but only suggests that the latter may be associated with the lack of tauopathy; it does not establish the claim’s categorical absence of tauopathy or its causal “therefore.” (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Vervets are best considered a pattern of early amyloid pathology and corresponding behavioral and biomarker changes, making them important for studying early AD stages.

    “Vervets are best considered a pattern of early amyloid pathology and corresponding behavioral and biomarker changes, making them important for the study of the early stages of AD [153].”
  • Vervets and other NHP are promising models for exploring early-stage disease mechanisms and biomarkers and testing new therapeutic strategies.

    “Recently, Latimer et al. showed that vervets and other NHP are promising models for exploring early-stage disease mechanisms and biomarkers and testing new therapeutic strategies [153].”
  • Non-human primates can model sporadic age-associated brain β-amyloid deposition and pathological changes in AD.

    “Non-human primates (NHP) can be used as models of sporadic age-associated brain β-amyloid deposition and pathological changes in AD.”

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References 52 · Cited by 98

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  1. [1]Jasinska AJ, Systems biology of the vervet monkey. Ilar J 2013; 54: 122– 43. 24174437 PMC3814400
  2. [3]Darusman HS, Amyloid Beta1-42 and the Phoshorylated Tau Threonine 231 in Brains of Aged Cynomolgus Monkeys (Macaca fascicularis). Front Aging Neurosci 2014; 6: 313. 25426069 PMC4225838
  3. [4]Forny-Germano L, Alzheimer’s disease-like pathology induced by amyloid-beta oligomers in nonhuman primates. J Neurosci 2014; 34: 13629– 43. 25297091 PMC6608380
  4. [5]Chen JA, Neurodegenerative disease biomarkers Aβ1–40, Aβ1–42, tau, and p-tau181 in the vervet monkey cerebrospinal fluid: Relation to normal aging, genetic influences, and cerebral amyloid angiopathy. Brain Behav 2018; 8: e00903. 29484263 PMC5822592
  5. [6]Shively CA, Aging and physical mobility in group-housed Old World monkeys. Age (Dordr) 2012; 34: 1123– 31. 22203457 PMC3448999
  6. [7]Shively CA, Sertraline effects on cerebrospinal fluid monoamines and species-typical socioemotional behavior of female cynomolgus monkeys. Psychopharmacology (Berl) 2014; 231: 1409– 16. 24193371 PMC3954916
  7. [8]Maldjian JA, Multi-Atlas library for eliminating normalization failures in non-Human primates. Neuroinformatics 2016; 14: 183– 90. 26643442 PMC4824639
  8. [9]Maldjian JA, Vervet MRI atlas and label map for fully automated morphometric analyses. Neuroinformatics 2014; 12: 543– 50. 24850577 PMC4939823
  9. [10]Avants B, Gee JC. Geodesic estimation for large deformation anatomical shape averaging and interpolation. Neuroimage 2004; 23: S139– 50. 15501083
  10. [11]Avants BB, Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal 2008; 12: 26– 41. 17659998 PMC2276735
  11. [12]Rohlfing T, The INIA19 Template and NeuroMaps Atlas for Primate Brain Image Parcellation and Spatial Normalization. Front Neuroinform 2012; 6: 27. 23230398 PMC3515865
  12. [13]Maldjian JA, An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage 2003; 19: 1233– 9. 12880848
  13. [14]Quarantelli M, Integrated software for the analysis of brain PET/ SPECT studies with partial-volume-effect correction. J Nucl Med 2004; 45: 192– 201. 14960635
  14. [15]Zhou S, A method of generating image-derived input function in a quantitative (1)(8)F-FDG PET study based on the shape of the input function curve. Nucl Med Commun 2011; 32: 1121– 7. 21946619
  15. [16]Graham MM, The FDG lumped constant in normal human brain. J Nucl Med 2002; 43: 1157– 66. 12215553
  16. [17]Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 1983; 3: 1– 7. 6822610
  17. [18]Shively CA, Depressive behavior and coronary artery atherogenesis in adult female cynomolgus monkeys. Psychosom Med 2008; 70: 637– 45. 18596246 PMC3970186
  18. [19]Yamamoto T, Hirano A. A comparative study of modified Bielschow- sky, Bodian and thioflavin S stains on Alzheimer’s neurofibrillary tangles. Neuropathol Appl Neurobiol 1986; 12: 3– 9. 2422580
  19. [22]Woods RP, A web-based brain atlas of the vervet monkey, Chlorocebus aethiops. Neuroimage 2011; 54: 1872– 80. 20923706 PMC3008312
  20. [23]Rohlfing T, The INIA19 template and neuroMaps atlas for primate brain image parcellation and spatial normalization. Front Neuroinformatics 2012; 6(27). PMC3515865 23230398
  21. [24]Thal DR, Phases of A beta-deposition in the human brain and its relevance for the development of AD. Neurology 2002; 58: 1791– 800. 12084879
  22. [25]Mirra SS, 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– 86. 2011243
  23. [26]Braak H, Braak E. Staging of alzheimer’s disease-related neurofibrillary changes. Neurobiol Aging 1995; 16: 271– 8. 7566337
  24. [27]Thal DR, Alzheimer-related tau-pathology in the perforant path target zone and in the hippocampal stratum oriens and radiatum correlates with onset and degree of dementia. Exp Neurol 2000; 163: 98– 110. 10785448
  25. [29]Mielke MM, Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the Mayo Clinic Study of Aging. J Gerontol A Biol Sci Med Sci 2013; 68: 929– 37. 23250002 PMC3712358
  26. [30]Edler MK, Aged chimpanzees exhibit pathologic hallmarks of Alzheimer’s disease. Neurobiol Aging 2017; 59: 107– 20. 28888720 PMC6343147
  27. [31]Poduri A, Apolipoprotein E4 and beta amyloid in senile plaques and cerebral blood vessels of aged rhesus monkeys. Am J Pathol 1994; 144: 1183– 7. 8203459 PMC1887468
  28. [33]Lemere CA, Alzheimer’s disease abeta vaccine reduces central nervous system abeta levels in a non-human primate, the Caribbean vervet. Am J Pathol 2004; 165: 283– 97. 15215183 PMC1618542
  29. [34]Selkoe DJ, Conservation of brain amyloid proteins in aged mammals and humans with Alzheimer’s disease. Science 1987; 235: 873– 7. 3544219
  30. [35]Cork LC, Development of senile plaques. Relationships of neuronal abnormalities and amyloid deposits. Am J Pathol 1990; 137: 1383– 92. 1701963 PMC1877724
  31. [36]Thal DR, Sequence of Abeta-protein deposition in the human medial temporal lobe. J Neuropathol Exp Neurol 2000; 59: 733– 48. 10952063
  32. [37]Herholz K, Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. Neuroimage 2002; 17: 302– 16. 12482085
  33. [38]Walker LC, Jucker M. The Exceptional Vulnerability of Humans to Alzheimer’s Disease. Trends Mol Med 2017; 23: 534– 45. 28483344 PMC5521004
  34. [39]Morales-Corraliza J, Brain-Wide Insulin Resistance, Tau Phosphorylation Changes, and Hippocampal Neprilysin and Amyloidbeta Alterations in a Monkey Model of Type 1 Diabetes. J Neurosci 2016; 36: 4248– 58. 27076423 PMC4829649
  35. [40]Engelborghs S, Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia. Neurobiol Aging 2008; 29: 1143– 59. 17428581
  36. [41]Erten-Lyons D, Neuropathological basis of age-associated brain atrophy. JAMA Neurol 2013; 70: 616– 22. 23552688 PMC3898525
  37. [42]Kotrotsou A, Neuropathologic correlates of regional brain volumes in a community cohort of older adults. Neurobiol Aging 2015; 36: 2798– 805. 26195068 PMC4562889
  38. [43]Toledo JB, Clinical and multimodal biomarker correlates of ADNI neuropathological findings. Acta Neuropathol Commun 2013; 1: 65. 24252435 PMC3893373
  39. [44]Borghys H, Young to middle-Aged dogs with high amyloid-beta levels in cerebrospinal fluid are impaired on learning in standard cognition tests. J Alzheimers Dis 2017; 56: 763– 74. 28035921 PMC5271428
  40. [45]Whitwell JL, Does amyloid deposition produce a specific atrophic signature in cognitively normal subjects? Neuroimage Clin 2013; 2: 249– 57. 24179779 PMC3778266
  41. [46]Maass A, Entorhinal tau pathology, episodic memory decline, and neurodegeneration in aging. J Neurosci 2018; 38: 530– 43. 29192126 PMC5777108
  42. [47]Ossenkoppele R, Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease. Brain 2016; 139: 1551– 67. 26962052 PMC5006248
  43. [48]Morris R, Gait and cognition: Mapping the global and discrete relationships in ageing and neurodegenerative disease. Neurosci Biobehav Rev 2016; 64: 326– 45. 26915926
  44. [49]Nadkarni NK, Association of brain amyloid-beta with slow gait in elderly individuals without dementia: Influence of cognition and apolipoprotein E epsilon4 genotype. JAMA Neurol 2017; 74: 82– 90. 27842173 PMC5735996
  45. [50]Taylor ME, Slow gait speed is associated with executive function decline in older people with mild to moderate dementia: A one year longitudinal study. Arch Gerontol Geriatr 2017; 73: 148– 53. 28818760
  46. [51]Wennberg AMV, Cerebral amyloid deposition is associated with gait parameters in the mayo clinic study of aging. J Am Geriatr Soc 2017; 65: 792– 9. 27869301 PMC5397339
  47. [52]Buchman AS, Physical frailty in older persons is associated with Alzheimer disease pathology. Neurology 2008; 71: 499– 504. 18695161 PMC2676981
  48. [53]Khachaturian AS, New thinking about thinking, part two. Theoretical articles for Alzheimer’s & Dementia. Alzheimers Dement 2018; 14: 703– 6. 29842864

Authors
Latimer, C. S., Shively, C. A., Keene, C. D., Jorgensen, M. J., Andrews, R. N., Register, T. C., Montine, T. J., Wilson, A. M., Neth, B. J., Mintz, A., Maldjian, J. A., Whitlow, C. T., Kaplan, J. R., & Craft, S.
Affiliations
  • University of Washington (US)
  • Wake Forest University Health Sciences (US)
  • Stanford Medicine (US)
  • Columbia University Irving Medical Center (US)
  • The University of Texas Southwestern Medical Center (US)
Corresponding author
Craft, Suzanne
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2018-11-19
Volume
15
Issue
1
Pages
93-105
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2900542217
Cited by
98
References
52
Citations by year
2026: 3 · 2025: 20 · 2024: 13 · 2023: 14 · 2022: 9 · 2021: 20 · 2020: 13 · 2019: 6
FWCI
6.70
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion, other-oa)
  • PubMed Central (acceptedVersion, cc-by-nc-nd)
Funders
  • Wake Forest Alzheimer's Disease Core Center (P30- AG049638)
  • Vervet Research Colony (P40-OD010965)
  • Roena B. Kulynych Center
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
MeSH terms
Alzheimer Disease, Animals, Brain, Chlorocebus aethiops, Disease Models, Animal, Female, Biomarkers, Plaque, Amyloid, Neuroimaging

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