Abstract
The aged dog naturally develops cognitive decline in many different domains (including learning and memory) but also exhibits human-like individual variability in the aging process. The neurobiological basis for cognitive dysfunction may be related to structural changes that reflect neurodegeneration. Molecular cascades that contribute to degeneration in the aging dog brain include the progressive accumulation of beta-amyloid (Aβ) in diffuse plaques and in the cerebral vasculature. In addition, neuronal dysfunction occurs as a consequence of mitochondrial dysfunction and cumulative oxidative damage. In combination, the aged dog captures key features of human aging, making them particularly useful for the development of preventive or therapeutic interventions to improve aged brain function. These interventions can then be translated into human clinical trials. This article is part of a Special Issue entitled: Animal Models of Disease.
Keywords: Beagle, Beta-amyloid, Cognition, Mild cognitive impairment, Oxidative damage
1. Introduction
In this review of the canine model of human aging and Alzheimer disease (AD), several key features of dog brain aging will be discussed including general aging characteristics, cognitive changes with age, and neuropathology that are consistent with the human brain. The dog model provides a complementary system in which to test various theories of aging and to develop therapeutics when used in combination with other models. However, the use of dogs in aging studies provides some unique advantages, as dogs are easy to handle and may share a common environment (including diet) with humans. Dogs also offer additional predictive validity when translating results to human clinical trials, as they absorb pharmaceuticals with similar if not identical pharmacokinetics. For example, due to similarities to humans in terms of responsiveness, drug tolerance and metabolism, the dog can be considered to be a useful model for chronic statin treatment [1,2]. Further, an interesting new study suggests that in the process of domestication in dogs, genes associated with digestion have been selected that allow dogs to thrive on a diet rich in starch unlike wolves and more similar to humans [3], suggesting similar dietary absorption of nutrients.
The median lifespan of dogs varies as a function of breed, with larger breeds typically having shorter lifespan than smaller breeds [4–6]. In our laboratory, we primarily work with beagles that have a median lifespan of 13.9 years and no significant differences between males and females [7]. Using a polynomial model, a young beagle under 5 years is similar to humans under 40 years [6]. Middle aged beagles between 5 and 9 years are similar to humans between 40 and 60 years and beagles over 9 years are similar to humans over 66 years. Interestingly, cognitive and neurobiological changes are observed in dogs beginning in middle age and become more pronounced as they progress to old age, consistent with humans. Further, dogs may also capture the phenotype of early AD neuropathology [8].
AD is accompanied by progressive dementia and the accumulation of senile plaques and neurofibrillary tangles [9]. Plaques contain a toxic peptide called beta-amyloid (Aβ),which is produced from the longer Aβ precursor protein (APP) by sequential proteolytic cleavage by beta-secretase and gamma-secretase [10]. Aβ forms either extracellular deposits or soluble assembly states (oligomers — see Section 4.1) [11–13]. Neurofibrillary tangles are composed of hyperphosphorylated tau protein that fills the cytoplasm of neurons, leading to degeneration [14]. As with most natural animal models of AD (with the exception of goats, sheep and chimpanzees, [15–17]), dogs develop Aβ pathology and some evidence for tau abnormalities but not full blown neurofibrillary tangles.
2. Cognition and aging
Cognitive aging in dogs has several key features including domain-specific vulnerabilities and individual variability in the extent of decline. Aged dogs show deficits in complex learning tasks including size concept learning [18,19], oddity discrimination learning [20,21], size discrimination learning [22,23], and spatial learning [24]. Tasks sensitive to prefrontal cortex function, including reversal learning and visuospatial working memory, also deteriorate with age [22,23,25]. Further, egocentric spatial learning and reversal (measuring the ability of animals to select the correct object based on their own body orientation) are also age-sensitive [24]. Spatial attention assessed using a landmark discrimination task originally developed in nonhuman primates is also vulnerable to aging [26,27]. Interestingly, on simple visual discrimination learning tasks and procedural learning measures, aged dogs perform as well as younger animals [28], suggesting that a subset of cognitive functions remains intact with age. Further, sensory deficits are likely not a significant contributor to increased error scores.
Memory also declines with age in dogs. To test memory, an object recognition task developed for nonhuman primates [29] and applied in the canine model also reveals age-related deficits in acquisition [28]. These age-dependent cognitive deficits are not linked to obvious sensory deficits or locomotor impairment [30]. Perhaps the most useful age-sensitive task in dogs is a spatial memory task in which dogs are required to recognize the location of a sample stimulus and then respond to a different location during the test trial. Spatial learning and memory are age-sensitive in dogs [31,32]. Interestingly, deterioration in spatial ability occurs early in the aging process, between 6 and 7 years of age in dogs [25]. Thus, cognitive decline in aged dogs is domain-specific and involves memory and executive function cortical systems.
Cognitive dysfunction is not an inevitable consequence of aging in humans [33]; research has focused on the distinction between those who retain function and those who show decline, including mild cognitive impairment [34,35]. As with human cognitive aging, increased individual variability in error scores in dogs is observed beginning in middle age [36]. Individual variability is largest in old animals. Using spatial learning and memory tasks, it is possible to distinguish three groups of old dogs: (1) successful agers, (2) impaired dogs whose scores fell 2 standard deviations above the mean of the young animals, and (3) severely impaired dogs who failed to learn the task [37]. This clustering of aged dogs on the basis of cognitive ability is consistent with cognitive aging in rats and non-human primates [38–42] as well as in humans [43]. Individual variability with age in dogs provides a powerful approach to establish links between cognitive dysfunction and neurobiology. With this approach, animals with and without cognitive impairments at equivalent ages can be compared for differences in the extent of neuropathology.
Tasks used to assess cognition in dogs were developed such that they were conceptually analogous to those used in nonhuman primate aging research and to detect dementia in humans. Table 1 shows a comparison of the many tasks that have been modified or developed for use in aging canines.
Table 1.
Cognitive domain | Dog task | Localization in dog brain | Nonhuman primate tasks | Examples of human neuropsychological tasksa |
---|---|---|---|---|
Learning | Visual discrimination learning | Medial temporal lobe/parietal lobeb | Visual discrimination learning [112,113] | Digit copy, rotary pursuit, face discrimination [114], object discrimination [115,116] |
Reward and object approach learning | Nigrostriatal and motor cortexb | Food pickup task, fine motor learning [117,118] | ||
Memory | Delayed nonmatching to sample acquisition | Rhinal cortex [23] | Object recognition memory task [28] | Delayed recognition and recall, digit span [119] |
Delayed nonmatching to sample memory | Rhinal cortex [23] | Object recognition memory task [28] | ||
Spatial delayed nonmatch to sample acquisition | Dorsolateral prefrontal cortex [23] | Delayed response task [120, 121] | ||
spatial delayed nonmatch to sample memory | Hippocampus [122] | Delayed response task [120, 121] | ||
Executive function | Visual reversal learning | Prefrontal cortex/medial temporal lobe [123] | Visual reversal learning [112,113] | Card or object sorting tasks, set shifting, response inhibition [124] |
Oddity discrimination | Prefrontal cortex/medial temporal lobeb | N/A | ||
Egocentric spatial reversal learning | Hippocampal/prefrontal cortexb | Spatial reversal [112] | ||
Size concept learning | Prefrontal cortex/medial temporal lobeb | Hierarchical/relational learning [125] | ||
Visuospatial function | Landmark discrimination | Prefrontal cortex/parietal cortexb | Landmark discrimination [126] | Visual construction, block design, spatial learning [115,116] |
Egocentric spatial learning | Hippocampus/medial temporal lobeb | Spatial learning [112] |
Neuropsychological tasks for humans that assess function in similar cognitive domains reproduced from [127].
Proposed localization — not confirmed in lesion studies in dogs.
3. Neurodegenerative changes in aged dog brain
Several structural and molecular changes occur with age in the dog brain and are linked to cognitive function. In vivo brain imaging studies show that cortical atrophy [44] and ventricular widening [44–46] are consistent features of canine brain aging. Further, MRI studies suggest differential vulnerabilities of specific brain areas to aging. For example, in aging dogs, the prefrontal cortex loses tissue volume at an earlier age (approximately 8–11 years) than does the hippocampus (after 11 years) [47]. The extent of cortical atrophy is significantly associated with cognition; animals with extensive atrophy perform more poorly on tests of learning and memory [48], similar to elderly humans with dementia [49,50]. Another similarity that has been reported between human brain aging and the canine is the spontaneous development of white matter hyperintensities seen with T2 imaging particularly in the white matter adjacent to the lateral ventricles [45]. Mechanistically this may be linked to changes in the capillaries of the white matter that have been reported to show a decrease in laminin immunoreactivity and iron deposits within astrocytes and macrophages, all of which suggest blood–brain barrier and white matter compromise [51].
White matter volume also declines with age in dogs and, interestingly, appears to show a different pattern in males and females [52]. Diffusion tensor imaging studies to measure changes in white matter function have not been assessed as a function of age in dogs but a recent report suggests that this may be a very useful tool in future studies [53,54]. Given that dogs show a loss of myelin with age, with the frontal cortex being particularly vulnerable, this may be critically involved with cognitive decline [55].
Atrophy may result from neuron loss or changes in neuronal density, as reported in normal human brain aging [56,57], although more extensive neuronal loss occurs in AD [58,59]. When neurons were counted using unbiased stereological methods within individual subfields of the hippocampus of young (3.4 to 4.5 years) and old (13.0 to 15.0 years) dogs, the aged dogs had significantly (~30%) fewer neurons in the hilus of the dentate gyrus [60]. The number of neurons was correlated with cognitive function; dogs with higher numbers of hippocampal neurons performed a visual discrimination task with fewer errors [60]. However, relatively speaking, the hilus accounts for a small number of neurons in the hippocampus overall.
Reduced neurogenesis in the mature brain may also contribute to age-associated cognitive decline, resulting in slower replacement of dying neurons. In the hippocampus of beagles, a 90–95% decline in neurogenesis was measured in aged dogs [61]. Further, the degree of neurogenesis was correlated with cognitive function; animals with fewer new neurons had higher error scores in measures of learning and memory, as well as poorer learning ability [61]. Similar reductions in neurogenesis in aged dogs have been reported in other laboratories [62,63].
4. Neurodegenerative mechanisms in aged dog brain
Neuron loss and cortical atrophy in vulnerable brain regions of the aged dog may be due to the accumulation of toxic proteins, including Aβ or oxidatively modified lipids, proteins, or DNA/RNA. Additionally, many up-or down-regulated pathways in canine brain aging could also lead to neurodegeneration [64].
4.1. Aβ and aging in dogs
Canines and humans have Aβ-containing lesions with identical amino acid sequence [65,66]. This observation first stimulated interest in the use of the dog to model human aging and disease [67]. Specific brain regions show differential accumulation of Aβ in the aging dog brain, paralleling reports in the aged human brain [66,68–75]. When cortical regions are sampled for Aβ deposition, each region shows a different age of Aβ onset [72]. Aβ deposition occurs earliest in the prefrontal cortex of the dog and later in temporal and occipital cortex, similar to previous reports in humans [75]. Canine plaques are typically diffuse and thioflavin S-negative but can form into more compact deposits [76] — thus, although the brain regions affected by senile plaques are similar in dogs and humans, they appear to mimic an earlier phase of Aβ deposition [8]. Importantly, the extent of Aβ plaque deposition in the dog brain is linked to the severity of cognitive deficits [22,48,77,78] and also in the prefrontal cortex to cortical atrophy observed by MRI [47].
Age and cognitive status can predict Aβ accumulation in discrete brain structures. For example, dogs with prefrontal cortex-dependent reversal learning deficits show significantly higher amounts of Aβ in this brain region [22,79]. On the other hand, dogs that did poorly in a size discrimination learning task show large amounts of Aβ deposition in the entorhinal cortex [22]. Aβ can also be measured in the cerebrospinal fluid (CSF) of dogs. The ratio of Aβ42/40 in the CSF is a good predictor of the extent of Aβ measured biochemically in the brain and also declines linearly with age [80].
Aβ not only exists in fibrillar or linear conformations, but can also adopt other assembly states that make it particularly toxic to synaptic and neuronal function. Specifically, Aβ oligomers are small soluble forms of Aβ that interfere with synaptic function and cognition [11,81]. Interestingly, Aβ oligomers can be detected in the CSF of dogs, but are inversely related to the amount of total Aβ measured biochemically in the brain, suggesting that oligomers are sequestered into plaques [80].
A common type of pathology observed in both normal human brain aging and particularly in AD is the presence of cerebral amyloid angiopathy (CAA), which is characterized by the accumulation of Aβ in the walls of cerebral vessels [82–84]. Vascular and perivascular abnormalities and CAA pathology are frequently found in aged dogs [68,69,85–92]. CAA may compromise the blood–brain barrier, impair vascular function [93], and cause microhemorrhages [90,91,94]. The distribution of CAA in dog brain is similar to humans, with particular vulnerability in the occipital cortex [83]. Thus, aged dogs develop cerebrovascular abnormalities that may contribute to cognitive decline and are consistent with those reported in humans.
4.2. Oxidative damage and mitochondrial dysfunction
Aging and the production of free radicals can lead to oxidative damage to proteins, lipids, and nucleotides that, in turn, may cause neuronal dysfunction and ultimately neuronal death. Normally, the activity of endogenous antioxidants balances the production of free radicals. However, a number of these protective mechanisms begin to fail with age. In the aging dog, the brain accumulates carbonyl groups, a measure of oxidative damage to proteins [95,96]. Carbonyl groups are associated with reduced endogenous antioxidant enzyme activity or protein levels, including those of glutamine synthetase and superoxide dismutase (SOD) [95,97–99]. In addition, increased oxidative damage to proteins can be measured by the end products of lipid peroxidation (oxidative damage to lipids), including 4-hydroxynonenal (4HNE) [48,99–101], lipofuscin [48], lipofuscin-like pigments [100,101] or malondialdehyde [95]. Additionally, oxidative damage to DNA or RNA may be increased in aged dog brain [8,48]. Oxidative damage may also be associated with behavioral decline in dogs. Increased oxidative end products in aged companion dog brain are correlated with more severe behavioral changes [48,96,101,102]. Similarly, in laboratory studies of aging beagles, higher protein oxidative damage (3-nitrotyrosine) and lower endogenous antioxidant capacity (SOD and glutathione-S-transferase activities) are associated with poorer prefrontal-dependent and spatial learning [98]. Mitochondria are a source of free radicals that damage proteins, lipids and DNA/RNA [103]. In a study of aged beagles, isolated mitochondria show increased reactive oxygen species production in aged animals relative to young animals [104]. Thus, aged dogs exhibit mitochondrial dysfunction and oxidative damage, consistent with humans with age-related neurological dysfunction.
5. Therapeutics
Aging dogs have been used to test a number of different therapeutics that has also been tested in human clinical trials [8]. A diet rich in a broad spectrum of antioxidants and mitochondrial co-factors improved cognition [21,26,105] and reduced neuropathology in aging dogs over a 2.8 year period of time [98,106]. There was also strong evidence for maintenance of function over the duration of this study. Behavioral enrichment, which includes physical exercise, environmental enrichment, social enrichment and cognitive training also leads to significant cognitive [21,26,105] and neurobiological [98,106–108] benefits. Statins have been associated with reduced risk of AD [109–111]. Statins reduce cholesterol levels by inhibiting the enzyme, 3-hydroxy-3-methylglutaryl coenzyme reductase (HMG-CoA) to reduce cholesterol production. Rodent models may have limited utility when testing the effects of statins on the aging process as rats and mice upregulate HMG-CoA to compensate after statin administration [112]. Aging dogs treated with human dose atorvastatin showed both evidence of improved and impaired cognition with decreased BACE protein levels [113], increased haem oxygenase-1, and reduced oxidative damage [3,45]. No effects were observed on Aβ pathology, which was the original hypothesis given data from transgenic mice. However, a vaccine against Aβ, initially developed in transgenic mice [114], leads to maintenance of frontal function in aging dogs after 2 years of treatment along with a reduction in Aβ plaques [115]. However, there was no improvement in learning and memory while being vaccinated, which was similar to reports in human clinical trials [116,117]. Recent reports suggest that passive vaccination with solanezumab in patients with AD also did not report benefits but rather a delay in progression observed as a maintenance of function. These studies suggest that the dog is a useful and complementary model system to transgenic mice to help develop therapeutics or approaches that may slow or halt AD in clinical trials. A more thorough discussion of possible therapeutics development using the canine model has been provided in additional reviews [8,118].
5.1. Summary
The aged dog naturally develops decline in many different cognitive domains and exhibits human-like individual variability in the aging process. Some aged dogs develop significant cognitive decline more closely resembling persons with mild cognitive impairment. The neurobiological basis for cognitive dysfunction may be related to structural changes that reflect degeneration. Molecular cascades that may contribute to neurodegeneration in the dog brain may include the progressive accumulation of Aβ in diffuse plaques and in the cerebral vasculature. In addition, neuronal dysfunction may occur as a consequence of mitochondrial dysfunction and cumulative oxidative damage (although other pathological processes have been observed in the canine brain and this review provides a few examples of these). Taken together, the aged dog may capture key features of human aging, making them particularly useful for studies of therapeutics that can be translated into human clinical trials.
Acknowledgements
Funding provided by the NIH/NIA AG0031764. The author also appreciates the comments from Dr. Amy Dowling during the preparation of this review and to Paula Thomason for the editing.
Footnotes
This article is part of a Special Issue entitled: Animal Models of Disease.
References
- 1.Alberts AW. Lovastatin and simvastatin — inhibitors of HMG CoA reductase and cholesterol biosynthesis. Cardiology. 1990;77:14–21. doi: 10.1159/000174688. [DOI] [PubMed] [Google Scholar]
- 2.Gerson RJ, MacDonald JS, Alberts AW, Kornbrust DJ, Majka JA, Stubbs RJ, Bokelman DL. Animal safety and toxicology of simvastatin and related hydroxymethylglutaryl-coenzyme A reductase inhibitors. Am. J. Med. 1989;87:28S–38S. doi: 10.1016/s0002-9343(89)80596-0. [DOI] [PubMed] [Google Scholar]
- 3.Axelsson E, Ratnakumar A, Arendt ML, Maqbool K, Webster MT, Perloski M, Liberg O, Arnemo JM, Hedhammar A, Lindblad-Toh K. The genomic signature of dog domestication reveals adaptation to a starch-rich diet. Nature. 2013;495:360–364. doi: 10.1038/nature11837. [DOI] [PubMed] [Google Scholar]
- 4.Greer KA, Canterberry SC, Murphy KE. Statistical analysis regarding the effects of height and weight on life span of the domestic dog. Res. Vet. Sci. 2007;82:208–214. doi: 10.1016/j.rvsc.2006.06.005. [DOI] [PubMed] [Google Scholar]
- 5.Galis F, Van der Sluijs I, Van Dooren TJ, Metz JA, Nussbaumer M. Do large dogs die young? J. Exp. Zool. B Mol. Dev. Evol. 2007;308:119–126. doi: 10.1002/jez.b.21116. [DOI] [PubMed] [Google Scholar]
- 6.Patronek GJ, Waters DJ, Glickman LT. Comparative longevity of pet dogs and humans: implications for gerontology research. J. Gerontol. A Biol. Sci. Med. Sci. 1997;52:B171–B178. doi: 10.1093/gerona/52a.3.b171. [DOI] [PubMed] [Google Scholar]
- 7.Lowseth LA, Gillett NA, Gerlach RF, Muggenburg BA. The effects of aging on hematology and serum chemistry values in the beagle dog. Vet. Clin. Pathol. 1990;19:13–19. doi: 10.1111/j.1939-165x.1990.tb00535.x. [DOI] [PubMed] [Google Scholar]
- 8.Cotman CW, Head E. The canine (dog) model of human aging and disease: dietary, environmental and immunotherapy approaches. J. Alzheimers Dis. 2008;15:685–707. doi: 10.3233/jad-2008-15413. [DOI] [PubMed] [Google Scholar]
- 9.Mirra SS. The CERAD neuropathology protocol and consensus recommendations for the postmortem diagnosis of Alzheimer's disease: a commentary. Neurobiol. Aging. 1997;18:S91–S94. doi: 10.1016/s0197-4580(97)00058-4. [DOI] [PubMed] [Google Scholar]
- 10.Selkoe DJ. Normal and abnormal biology of the beta-amyloid precursor protein. Annu. Rev. Neurosci. 1994;17:489–517. doi: 10.1146/annurev.ne.17.030194.002421. [DOI] [PubMed] [Google Scholar]
- 11.Walsh DM, Klyubin I, Fadeeva JV, Rowan MJ, Selkoe DJ. Amyloid-beta oligomers: their production, toxicity and therapeutic inhibition. Biochem. Soc. Trans. 2002;30:552–557. doi: 10.1042/bst0300552. [DOI] [PubMed] [Google Scholar]
- 12.Lesne S, Koh MT, Kotilinek L, Kayed R, Glabe CG, Yang A, Gallagher M, Ashe KH. A specific amyloid-beta protein assembly in the brain impairs memory. Nature. 2006;440:352–357. doi: 10.1038/nature04533. [DOI] [PubMed] [Google Scholar]
- 13.Haass C, Selkoe DJ. Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid beta-peptide. Nat. Rev. Mol. Cell Biol. 2007;8:101–112. doi: 10.1038/nrm2101. [DOI] [PubMed] [Google Scholar]
- 14.Iqbal K, Grundke-Iqbal I. Alzheimer neurofibrillary degeneration: significance, etiopathogenesis, therapeutics and prevention. J. Cell Mol. Med. 2008;12:38–55. doi: 10.1111/j.1582-4934.2008.00225.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Braak H, Braak E, Strothjohann M. Abnormally phosphorylated tau protein related to the formation of neurofibrillary tangels and neuropil threads in the cerebral cortex of sheep and goat. Neurosci. Lett. 1994;171:1–4. doi: 10.1016/0304-3940(94)90589-4. [DOI] [PubMed] [Google Scholar]
- 16.Nelson PT, Greenberg SG, Saper CB. Neurofibrillary tangles in the cerebral cortex of sheep. Neurosci. Lett. 1994;170:187–190. doi: 10.1016/0304-3940(94)90270-4. [DOI] [PubMed] [Google Scholar]
- 17.Rosen RF, Farberg AS, Gearing M, Dooyema J, Long PM, Anderson DC, Davis-Turak J, Coppola G, Geschwind DH, Pare JF, Duong TQ, Hopkins WD, Preuss TM, Walker LC. Tauopathy with paired helical filaments in an aged chimpanzee. J. Comp. Neurol. 2008;509:259–270. doi: 10.1002/cne.21744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Tapp PD, Siwak C, Head E, Cotman CW, Murphey H, Muggenburg BA, Ikeda-Douglas C, Milgram NW. Concept abstraction in the aging dog: development of a protocol using successive discrimination and size concept tasks. Behav. Brain Res. 2004;153:199–210. doi: 10.1016/j.bbr.2003.12.003. [DOI] [PubMed] [Google Scholar]
- 19.Siwak CT, Tapp PD, Head E, Zicker SC, Murphey HL, Muggenburg BA, Ikeda-Douglas CJ, Cotman CW, Milgram NW. Chronic antioxidant and mitochondrial cofactor administration improves discrimination learning in aged but not young dogs. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2005;29:461–469. doi: 10.1016/j.pnpbp.2004.12.011. [DOI] [PubMed] [Google Scholar]
- 20.Milgram NW, Zicker SC, Head E, Muggenburg BA, Murphey H, Ikeda-Douglas C, Cotman CW. Dietary enrichment counteracts age-associated cognitive dysfunction in canines. Neurobiol. Aging. 2002;23:737–745. doi: 10.1016/s0197-4580(02)00020-9. [DOI] [PubMed] [Google Scholar]
- 21.Cotman CW, Head E, Muggenburg BA, Zicker S, Milgram NW. Brain aging in the canine: a diet enriched in antioxidants reduces cognitive dysfunction. Neurobiol. Aging. 2002;23:809–818. doi: 10.1016/s0197-4580(02)00073-8. [DOI] [PubMed] [Google Scholar]
- 22.Head E, Callahan H, Muggenburg BA, Cotman CW, Milgram NW. Visual-discrimination learning ability and beta-amyloid accumulation in the dog. Neurobiol. Aging. 1998;19:415–425. doi: 10.1016/s0197-4580(98)00084-0. [DOI] [PubMed] [Google Scholar]
- 23.Tapp PD, Siwak CT, Estrada J, Muggenburg BA, Head E, Cotman CW, Milgram NW. Size and reversal learning in the beagle dog as a measure of executive function and inhibitory control in aging. Learn. Mem. 2003;10:64–73. doi: 10.1101/lm.54403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Christie LA, Studzinski CM, Araujo JA, Leung CS, Ikeda-Douglas CJ, Head E, Cotman CW, Milgram NW. A comparison of egocentric and allocentric age-dependent spatial learning in the beagle dog. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2005;29:361–369. doi: 10.1016/j.pnpbp.2004.12.002. [DOI] [PubMed] [Google Scholar]
- 25.Studzinski CM, Christie LA, Araujo JA, Burnham WM, Head E, Cotman CW, Milgram NW. Visuospatial function in the beagle dog: an early marker of cognitive decline in a model of human aging and dementia. Neurobiol. Learn. Mem. 2006;86:197–204. doi: 10.1016/j.nlm.2006.02.005. [DOI] [PubMed] [Google Scholar]
- 26.Milgram NW, Head E, Muggenburg BA, Holowachuk D, Murphey H, Estrada J, Ikeda-Douglas CJ, Zicker SC, Cotman CW. Landmark discrimination learning in the dog: effects of age, an antioxidant fortified diet, and cognitive strategy. Neurosci. Biobehav. Rev. 2002;26:679–695. doi: 10.1016/s0149-7634(02)00039-8. [DOI] [PubMed] [Google Scholar]
- 27.Milgram NW, Adams B, Callahan H, Head E, Mackay W, Thirlwell C, Cotman CW. Landmark discrimination learning in the dog. Learn. Mem. 1999;6:54–61. [PMC free article] [PubMed] [Google Scholar]
- 28.Milgram NW, Head E, Weiner E, Thomas E. Cognitive functions and aging in the dog: acquisition of nonspatial visual tasks. Behav. Neurosci. 1994;108:57–68. doi: 10.1037//0735-7044.108.1.57. [DOI] [PubMed] [Google Scholar]
- 29.Mishkin M, Delacour J. An analysis of short-term visual memory in the monkey. J. Exp. Psychol. Anim. Behav. Proc. 1975;1:326–334. doi: 10.1037//0097-7403.1.4.326. [DOI] [PubMed] [Google Scholar]
- 30.Head E, Callahan H, Cummings BJ, Cotman CW, Ruehl WW, Muggenberg BA, Milgram NW. Open field activity and human interaction as a function of age and breed in dogs. Physiol. Behav. 1997;62:963–971. doi: 10.1016/s0031-9384(97)00198-4. [DOI] [PubMed] [Google Scholar]
- 31.Head E, Mehta R, Hartley J, Kameka AM, Cummings BJ, Cotman CW, Ruehl WW, Milgram NW. Spatial learning and memory as a function of age in the dog. Behav. Neurosci. 1995;109:851–858. doi: 10.1037//0735-7044.109.5.851. [DOI] [PubMed] [Google Scholar]
- 32.Chan AD, Nippak PM, Murphey H, Ikeda-Douglas CJ, Muggenburg B, Head E, Cotman CW, Milgram NW. Visuospatial impairments in aged canines (Canis familiaris): the role of cognitive-behavioral flexibility. Behav. Neurosci. 2002;116:443–454. [PubMed] [Google Scholar]
- 33.Albert MS, Funkenstein HH. The effects of age: normal variation and its relation to disease. In: Asburg AK, McKhanney GM, McDonald WI, editors. Disorders of the Nervous System: Clinical Neurology. 2nd edition. Philadelphia: Saunders Inc.; 1992. pp. 598–611. [Google Scholar]
- 34.Petersen RC, Smith GE, Waring SC, Ivnik RJ, Kokmen E, Tangelos EG. Aging, memory, and mild cognitive impairment. Int. Psychogeriatr. 1997;9(Suppl. 1):65–69. doi: 10.1017/s1041610297004717. [DOI] [PubMed] [Google Scholar]
- 35.Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch. Neurol. 1999;56:303–308. doi: 10.1001/archneur.56.3.303. [DOI] [PubMed] [Google Scholar]
- 36.Adams B, Chan A, Callahan H, Milgram NW. The canine as a model of human cognitive aging: recent developments. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2000;24:675–692. doi: 10.1016/s0278-5846(00)00101-9. [DOI] [PubMed] [Google Scholar]
- 37.Head E, Milgram NW, Cotman CW. Neurobiological models of aging in the dog and other vertebrate species. In: Hof P, Mobbs C, editors. Functional Neurobiology of Aging. San Diego: Academic Press; 2001. pp. 457–468. [Google Scholar]
- 38.Baxter MG, Gallagher M. Neurobiological substrates of behavioral decline: models and data analytic strategies for individual differences in aging. Neurobiol. Aging. 1996:491–495. doi: 10.1016/0197-4580(96)00011-5. [DOI] [PubMed] [Google Scholar]
- 39.Markowska AL, Stone WS, Ingram DK, Reynolds J, Gold PE, Conti LH, Pontecorvo MJ, Wenk GL, Olton DS. Individual differences in aging: behavioral and neurobiological correlates. Neurobiol. Aging. 1989;10:31–43. doi: 10.1016/s0197-4580(89)80008-9. [DOI] [PubMed] [Google Scholar]
- 40.Rapp PR, Amaral DG. Recognition memory deficits in a subpopulation of aged monkeys resemble the effects of medial temporal lobe damage. Neurobiol. Aging. 1991;12:481–486. doi: 10.1016/0197-4580(91)90077-w. [DOI] [PubMed] [Google Scholar]
- 41.Rapp PR. Neuropsychological analysis of learning and memory in aged nonhuman primates. Neurobiol. Aging. 1993;14:627–629. doi: 10.1016/0197-4580(93)90050-l. [DOI] [PubMed] [Google Scholar]
- 42.Rapp PR, Kansky MT, Roberts JA, Eichenbaum H. New directions for studying cognitive decline in old monkeys. Semin. Neurosci. 1994;6:369–377. [Google Scholar]
- 43.Rowe JW, Kahn RL. Human aging: usual and successful. Science. 1987;237:143–149. doi: 10.1126/science.3299702. [DOI] [PubMed] [Google Scholar]
- 44.Su M-Y, Head E, Brooks WM, Wang Z, Muggenberg BA, Adam GE, Sutherland RJ, Cotman CW, Nalcioglu O. MR imaging of anatomic and vascular characteristics in a canine model of human aging. Neurobiol. Aging. 1998;19:479–485. doi: 10.1016/s0197-4580(98)00081-5. [DOI] [PubMed] [Google Scholar]
- 45.Kimotsuki T, Nagaoka T, Yasuda M, Tamahara S, Matsuki N, Ono K. Changes of magnetic resonance imaging on the brain in beagle dogs with aging. J. Vet. Med. Sci. 2005;67:961–967. doi: 10.1292/jvms.67.961. [DOI] [PubMed] [Google Scholar]
- 46.Gonzalez-Soriano J, Marin Garcia P, Contreras-Rodriguez J, Martinez-Sainz P, Rodriguez-Veiga E. Age-related changes in the ventricular system of the dog brain. Ann. Anat. 2001;183:283–291. doi: 10.1016/S0940-9602(01)80236-3. [DOI] [PubMed] [Google Scholar]
- 47.Tapp PD, Siwak CT, Gao FQ, Chiou JY, Black SE, Head E, Muggenburg BA, Cotman CW, Milgram NW, Su MY. Frontal lobe volume, function, and beta-amyloid pathology in a canine model of aging. J. Neurosci. 2004;24:8205–8213. doi: 10.1523/JNEUROSCI.1339-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Rofina JE, van Ederen AM, Toussaint MJ, Secreve M, van der Spek A, van der Meer I, Van Eerdenburg FJ, Gruys E. Cognitive disturbances in old dogs suffering from the canine counterpart of Alzheimer's disease. Brain Res. 2006;1069:216–226. doi: 10.1016/j.brainres.2005.11.021. [DOI] [PubMed] [Google Scholar]
- 49.Du AT, Schuff N, Chao LL, Kornak J, Ezekiel F, Jagust WJ, Kramer JH, Reed BR, Miller BL, Norman D, Chui HC, Weiner MW. White matter lesions are associated with cortical atrophy more than entorhinal and hippocampal atrophy. Neurobiol. Aging. 2005;26:553–559. doi: 10.1016/j.neurobiolaging.2004.05.002. [DOI] [PubMed] [Google Scholar]
- 50.Ezekiel F, Chao L, Kornak J, Du AT, Cardenas V, Truran D, Jagust W, Chui H, Miller B, Yaffe K, Schuff N, Weiner M. Comparisons between global and focal brain atrophy rates in normal aging and Alzheimer disease: Boundary Shift Integral versus tracing of the entorhinal cortex and hippocampus. Alzheimer Dis. Assoc. Disord. 2004;18:196–201. [PMC free article] [PubMed] [Google Scholar]
- 51.Morita T, Mizutani Y, Sawada M, Shimada A. Immunohistochemical and ultrastructural findings related to the blood-brain barrier in the blood vessels of the cerebral white matter in aged dogs. J. Comp. Pathol. 2005;133:14–22. doi: 10.1016/j.jcpa.2005.01.001. [DOI] [PubMed] [Google Scholar]
- 52.Tapp PD, Head K, Head E, Milgram NW, Muggenburg BA, Su MY. Application of an automated voxel-based morphometry technique to assess regional gray and white matter brain atrophy in a canine model of aging. NeuroImage. 2006;29:234–244. doi: 10.1016/j.neuroimage.2005.07.043. [DOI] [PubMed] [Google Scholar]
- 53.Jacqmot O, Van Thielen B, Fierens Y, Hammond M, Willekens I, Van Schuerbeek P, Verhelle F, Goossens P, De Ridder F, Clarys JP, Vanbinst A, De Mey J. Diffusion tensor imaging of white matter tracts in the dog brain. Anat. Rec. 2013;296:340–349. doi: 10.1002/ar.22638. [DOI] [PubMed] [Google Scholar]
- 54.Wu YC, Field AS, Duncan ID, Samsonov AA, Kondo Y, Tudorascu D, Alexander AL. High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation. NeuroImage. 2011;58:829–837. doi: 10.1016/j.neuroimage.2011.06.067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Chambers JK, Uchida K, Nakayama H. White matter myelin loss in the brains of aged dogs. Exp. Gerontol. 2012;47:263–269. doi: 10.1016/j.exger.2011.12.003. [DOI] [PubMed] [Google Scholar]
- 56.Simic G, Kostovic I, Winblad B, Bogdanovic N. Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer's disease. J. Comp. Neurol. 1997;379:482–494. doi: 10.1002/(sici)1096-9861(19970324)379:4<482::aid-cne2>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]
- 57.West MJ. Regionally specific loss of neurons in the aging human hippocampus. Neurobiol. Aging. 1993;14:287–293. doi: 10.1016/0197-4580(93)90113-p. [DOI] [PubMed] [Google Scholar]
- 58.West MJ, Kawas CH, Martin LJ, Troncoso JC. The CA1 region of the human hippocampus is a hot spot in Alzheimer's disease. Ann. N. Y. Acad. Sci. 2000;908:255–259. doi: 10.1111/j.1749-6632.2000.tb06652.x. [DOI] [PubMed] [Google Scholar]
- 59.Bobinski M, Wegiel J, Tarnawski M, Bobinski M, Reisberg B, de Leon MJ, Miller DC, Wisniewski HM. Relationships between regional neuronal loss and neurofibrillary changes in the hippocampal formation and duration and severity of Alzheimer disease. J. Neuropathol. Exp. Neurol. 1997;56:414–420. doi: 10.1097/00005072-199704000-00010. [DOI] [PubMed] [Google Scholar]
- 60.Siwak-Tapp CT, Head E, Muggenburg BA, Milgram NW, Cotman CW. Region specific neuron loss in the aged canine hippocampus is reduced by enrichment. Neurobiol. Aging. 2008;29:521–528. doi: 10.1016/j.neurobiolaging.2006.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Siwak-Tapp CT, Head E, Muggenburg BA, Milgram NW, Cotman CW. Neurogenesis decreases with age in the canine hippocampus and correlates with cognitive function. Neurobiol. Learn. Mem. 2007;88:249–259. doi: 10.1016/j.nlm.2007.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Hwang IK, Yoo KY, Li H, Choi JH, Kwon YG, Ahn Y, Lee IS, Won MH. Differences in doublecortin immunoreactivity and protein levels in the hippocampal dentate gyrus between adult and aged dogs. Neurochem. Res. 2007;32:1604–1609. doi: 10.1007/s11064-007-9366-1. [DOI] [PubMed] [Google Scholar]
- 63.Pekcec A, Baumgartner W, Bankstahl JP, Stein VM, Potschka H. Effect of aging on neurogenesis in the canine brain. Aging Cell. 2008;7:368–374. doi: 10.1111/j.1474-9726.2008.00392.x. [DOI] [PubMed] [Google Scholar]
- 64.Swanson KS, Vester BM, Apanavicius CJ, Kirby NA, Schook LB. Implications of age and diet on canine cerebral cortex transcription. Neurobiol. Aging. 2009;30:1314–1326. doi: 10.1016/j.neurobiolaging.2007.10.017. [DOI] [PubMed] [Google Scholar]
- 65.Johnstone EM, Chaney MO, Norris FH, Pascual R, Little SP. Conservation of the sequence of the Alzheimer's disease amyloid peptide in dog, polar bear and five other mammals by cross-species polymerase chain reaction analysis. Brain Res. Mol. Brain Res. 1991;10:299–305. doi: 10.1016/0169-328x(91)90088-f. [DOI] [PubMed] [Google Scholar]
- 66.Selkoe DJ, Bell DS, Podlisny MB, Price DL, Cork LC. Conservation of brain amyloid proteins in aged mammals and humans with Alzheimer's disease. Science. 1987;235:873–877. doi: 10.1126/science.3544219. [DOI] [PubMed] [Google Scholar]
- 67.Wisniewski HM, Wegiel J, Morys J, Bancher C, Soltysiak Z, Kim KS. Aged dogs: an animal model to study beta-protein amyloidogenesis. In: Maurer PRK, Beckman H, editors. Alzheimer's disease. Epidemiology, Neuropathology, Neurochemistry and Clinics. New York: Springer-Verlag; 1990. pp. 151–167. [Google Scholar]
- 68.Giaccone G, Verga L, Finazzi M, Pollo B, Tagliavini F, Frangione B, Bugiani O. Cerebral preamyloid deposits and congophilic angiopathy in aged dogs. Neurosci. Lett. 1990;114:178–183. doi: 10.1016/0304-3940(90)90068-k. [DOI] [PubMed] [Google Scholar]
- 69.Ishihara T, Gondo T, Takahashi M, Uchino F, Ikeda S, Allsop D, Imai K. Immunohistochemical and immunoelectron microscopial characterization of cerebrovascular and senile plaque amyloid in aged dogs' brains. Brain Res. 1991;548:196–205. doi: 10.1016/0006-8993(91)91122-h. [DOI] [PubMed] [Google Scholar]
- 70.Wisniewski HM, Johnson AB, Raine CS, Kay WJ, Terry RD. Senile plaques and cerebral amyloidosis in aged dogs. Lab. Investig. 1970;23:287–296. [PubMed] [Google Scholar]
- 71.Wisniewski HM, Wegiel J, Morys J, Bancher C, Soltysiak Z, Kim KS. Aged dogs: an animal model to study beta-protein amyloidogenesis. In: Maurer PRK, Beckman H, editors. Alzheimer's disease. Epidemiology, Neuropathology, Neurochemistry and Clinics. New York: Springer-Verlag; 1990. pp. 151–167. [Google Scholar]
- 72.Head E, McCleary R, Hahn FF, Milgram NW, Cotman CW. Region-specific age at onset of beta-amyloid in dogs. Neurobiol. Aging. 2000;21:89–96. doi: 10.1016/s0197-4580(00)00093-2. [DOI] [PubMed] [Google Scholar]
- 73.Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82:239–259. doi: 10.1007/BF00308809. [DOI] [PubMed] [Google Scholar]
- 74.Braak H, Braak E, Bohl J. Staging of Alzheimer-related cortical destruction. Rev. Clin. Neurosci. 1993;33:403–408. doi: 10.1159/000116984. [DOI] [PubMed] [Google Scholar]
- 75.Thal DR, Rub U, Orantes M, Braak H. Phases of A beta-deposition in the human brain and its relevance for the development of AD. Neurology. 2002;58:1791–1800. doi: 10.1212/wnl.58.12.1791. [DOI] [PubMed] [Google Scholar]
- 76.Cummings BJ, Su JH, Cotman CW, White R, Russell MJ. Beta-amyloid accumulation in aged canine brain: a model of plaque formation in Alzheimer's disease. Neurobiol. Aging. 1993;14:547–560. doi: 10.1016/0197-4580(93)90038-d. [DOI] [PubMed] [Google Scholar]
- 77.Colle M-A, Hauw J-J, Crespeau F, Uchiara T, Akiyama H, Checler F, Pageat P, Duykaerts C. Vascular and parenchymal Ab deposition in the aging dog: correlation with behavior. Neurobiol. Aging. 2000;21:695–704. doi: 10.1016/s0197-4580(00)00113-5. [DOI] [PubMed] [Google Scholar]
- 78.Cummings BJ, Head E, Afagh AJ, Milgram NW, Cotman CW. Beta-amyloid accumulation correlates with cognitive dysfunction in the aged canine. Neurobiol. Learn. Mem. 1996;66:11–23. doi: 10.1006/nlme.1996.0039. [DOI] [PubMed] [Google Scholar]
- 79.Cummings BJ, Head E, Ruehl WW, Milgram NW, Cotman CW. Beta-amyloid accumulation correlates with cognitive dysfunction in the aged canine. Neurobiol. Learn. Mem. 1996;66:11–23. doi: 10.1006/nlme.1996.0039. [DOI] [PubMed] [Google Scholar]
- 80.Head E, Pop V, Sarsoza F, Kayed R, Beckett TL, Studzinski CM, Tomic JL, Glabe CG, Murphy MP. Amyloid-beta peptide and oligomers in the brain and cerebrospinal fluid of aged canines. J. Alzheimers Dis. 2010;20:637–646. doi: 10.3233/JAD-2010-1397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Kayed R, Head E, Thompson JL, McIntire TM, Milton SC, Cotman CW, Glabe CG. Common structure of soluble amyloid oligomers implies common mechanism of pathogenesis. Science. 2003;300:486–489. doi: 10.1126/science.1079469. [DOI] [PubMed] [Google Scholar]
- 82.Attems J. Sporadic cerebral amyloid angiopathy: pathology, clinical implications, and possible pathomechanisms. Acta Neuropathol. 2005;110:345–359. doi: 10.1007/s00401-005-1074-9. [DOI] [PubMed] [Google Scholar]
- 83.Attems J, Jellinger KA, Lintner F. Alzheimer's disease pathology influences severity and topographical distribution of cerebral amyloid angiopathy. Acta Neuropathol. 2005;110:222–231. doi: 10.1007/s00401-005-1064-y. [DOI] [PubMed] [Google Scholar]
- 84.Herzig MC, Van Nostrand WE, Jucker M. Mechanism of cerebral beta-amyloid angiopathy: murine and cellular models. Brain Pathol. 2006;16:40–54. doi: 10.1111/j.1750-3639.2006.tb00560.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Shimada A, Kuwamura M, Akawkura T, Umemura T, Takada K, Ohama E, Itakura C. Topographic relationship between senile plaques and cerebrovascular amyloidosis in the brain of aged dogs. J. Vet. Med. Sci. 1992;54:137–144. doi: 10.1292/jvms.54.137. [DOI] [PubMed] [Google Scholar]
- 86.Uchida K, Tani Y, Uetsuka K, Nakayama H, Goto N. Immunohistochemical studies on canine cerebral amyloid angiopathy and senile plaques. J. Vet. Med. Sci. 1992;54:659–667. doi: 10.1292/jvms.54.659. [DOI] [PubMed] [Google Scholar]
- 87.Uchida K, Nakayama H, Tateyama S, Goto N. Immunohistochemical analysis of constituents of senile plaques and cerebro-vascular amyloid in aged dogs. J. Vet. Med. Sci. 1992;54:1023–1029. doi: 10.1292/jvms.54.1023. [DOI] [PubMed] [Google Scholar]
- 88.Uchida K, Okuda R, Yamaguchi R, Tateyama S, Nakayama H, Goto N. Double-labeling immunohistochemical studies on canine senile plaques and cerebral amyloid angiopathy. J. Vet. Med. Sci. 1993;55:637–642. doi: 10.1292/jvms.55.637. [DOI] [PubMed] [Google Scholar]
- 89.Uchida K, Kuroki K, Yoshino T, Yamaguchi R, Tateyama S. Immunohistochemical study of constituents other than beta-protein in canine senile plaques and cerebral amyloid angiopathy. 1997;93 doi: 10.1007/s004010050615. [DOI] [PubMed] [Google Scholar]
- 90.Uchida K, Miyauchi Y, Nakayama H, Goto N. Amyloid angiopathy with cerebral hemorrhage and senile plaque in aged dogs. Nippon. Juigaku. Zasshi. 1990;52:605–611. doi: 10.1292/jvms1939.52.605. [DOI] [PubMed] [Google Scholar]
- 91.Uchida K, Nakayama H, Goto N. Pathological studies on cerebral amyloid angiopathy, senile plaques and amyloid deposition in visceral organs in aged dogs. J. Vet. Med. Sci. 1991;53:1037–1042. doi: 10.1292/jvms.53.1037. [DOI] [PubMed] [Google Scholar]
- 92.Yoshino T, Uchida K, Tateyama S, Yamaguchi R, Nakayama H, Goto N. A retrospective study of canine senile plaques and cerebral amyloid angiopathy. Vet. Pathol. 1996;33:230–234. doi: 10.1177/030098589603300214. [DOI] [PubMed] [Google Scholar]
- 93.Prior R, D'Urso D, Frank R, Prikulis I, Pavlakovic G. Loss of vessel wall viability in cerebral amyloid angiopathy. NeuroReport. 1996;7:562. doi: 10.1097/00001756-199601310-00044. [DOI] [PubMed] [Google Scholar]
- 94.Deane R, Zlokovic BV. Role of the blood-brain barrier in the pathogenesis of Alzheimer's disease. Curr. Alzheimer Res. 2007;4:191–197. doi: 10.2174/156720507780362245. [DOI] [PubMed] [Google Scholar]
- 95.Head E, Liu J, Hagen TM, Muggenburg BA, Milgram NW, Ames BN, Cotman CW. Oxidative damage increases with age in a canine model of human brain aging. J. Neurochem. 2002;82:375–381. doi: 10.1046/j.1471-4159.2002.00969.x. [DOI] [PubMed] [Google Scholar]
- 96.Skoumalova A, Rofina J, Schwippelova Z, Gruys E, Wilhelm J. The role of free radicals in canine counterpart of senile dementia of the Alzheimer type. Exp. Gerontol. 2003;38:711–719. doi: 10.1016/s0531-5565(03)00071-8. [DOI] [PubMed] [Google Scholar]
- 97.Kiatipattanasakul W, Nakamura S, Kuroki K, Nakayama H, Doi K. Immunohistochemical detection of anti-oxidative stress enzymes in the dog brain. Neuropathology. 1997;17:307–312. [Google Scholar]
- 98.Opii WO, Joshi G, Head E, Milgram NW, Muggenburg BA, Klein JB, Pierce WM, Cotman CW, Butterfield DA. Proteomic identification of brain proteins in the canine model of human aging following a long-term treatment with antioxidants and a program of behavioral enrichment: relevance to Alzheimer's disease. Neurobiol. Aging. 2008;29:51–70. doi: 10.1016/j.neurobiolaging.2006.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Hwang IK, Yoon YS, Yoo KY, Li H, Choi JH, Kim DW, Yi SS, Seong JK, Lee IS, Won MH. Differences in lipid peroxidation and Cu, Zn-superoxide dismutase in the hippocampal CA1 region between adult and aged dogs. J. Vet. Med. Sci. 2008;70:273–277. doi: 10.1292/jvms.70.273. [DOI] [PubMed] [Google Scholar]
- 100.Papaioannou N, Tooten PCJ, van Ederen AM, Bohl JRE, Rofina J, Tsangaris T, Gruys E. Immunohistochemical investigation of the brain of aged dogs. I. Detection of neurofibrillary tangles and of 4-hydroxynonenal protein, an oxidative damage product, in senile plaques. Amyloid: J. Protein Folding Disord. 2001;8:11–21. doi: 10.3109/13506120108993810. [DOI] [PubMed] [Google Scholar]
- 101.Rofina JE, Singh K, Skoumalova-Vesela A, van Ederen AM, van Asten AJ, Wilhelm J, Gruys E. Histochemical accumulation of oxidative damage products is associated with Alzheimer-like pathology in the canine. Amyloid. 2004;11:90–100. doi: 10.1080/13506120412331285779. [DOI] [PubMed] [Google Scholar]
- 102.Barone E, Cenini G, Di Domenico F, Martin S, Sultana R, Mancuso C, Murphy MP, Head E, Butterfield DA. Long-term high-dose atorvastatin decreases brain oxidative and nitrosative stress in a preclinical model of Alzheimer disease: a novel mechanism of action. Pharmacol. Res. 2011;63:172–180. doi: 10.1016/j.phrs.2010.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Shigenaga MK, Hagen TM, Ames BN. Oxidative damage and mitochondrial decay in aging. Proc. Natl. Acad. Sci. U.S.A. 1994;91:10771–10778. doi: 10.1073/pnas.91.23.10771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Head E, Nukala VN, Fenoglio KA, Muggenburg BA, Cotman CW, Sullivan PG. Effects of age, dietary, and behavioral enrichment on brain mitochondria in a canine model of human aging. Exp. Neurol. 2009;220:171–176. doi: 10.1016/j.expneurol.2009.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Milgram NW, Head E, Zicker SC, Ikeda-Douglas CJ, Murphey H, Muggenburg B, Siwak C, Tapp D, Cotman CW. Learning ability in aged beagle dogs is preserved by behavioral enrichment and dietary fortification: a two-year longitudinal study. Neurobiol. Aging. 2005;26:77–90. doi: 10.1016/j.neurobiolaging.2004.02.014. [DOI] [PubMed] [Google Scholar]
- 106.Pop V, Head E, Hill MA, Gillen D, Berchtold NC, Muggenburg BA, Milgram NW, Murphy MP, Cotman CW. Synergistic effects of long-term antioxidant diet and behavioral enrichment on beta-amyloid load and non-amyloidogenic processing in aged canines. J. Neurosci. 2010;30:9831–9839. doi: 10.1523/JNEUROSCI.6194-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Fahnestock M, Marchese M, Head E, Pop V, Michalski B, Milgram WN, Cotman CW. BDNF increases with behavioral enrichment and an antioxidant diet in the aged dog. Neurobiol. Aging. 2012;33:546–554. doi: 10.1016/j.neurobiolaging.2010.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Siwak-Tapp CT, Head E, Muggenburg BA, Milgram NW, Cotman CW. Region specific neuron loss in the aged canine hippocampus is reduced by enrichment. Neurobiol. Aging. 2008;29:39–50. doi: 10.1016/j.neurobiolaging.2006.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Cramer C, Haan MN, Galea S, Langa KM, Kalbfleisch JD. Use of statins and incidence of dementia and cognitive impairment without dementia in a cohort study. Neurology. 2008;71:344–350. doi: 10.1212/01.wnl.0000319647.15752.7b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Wolozin B, Kellman W, Ruosseau P, Celesia GG, Siegel G. Decreased prevalence of Alzheimer disease associated with 3-hydroxy-3-methyglutaryl coenzyme A reductase inhibitors. Arch. Neurol. 2000;57:1439–1443. doi: 10.1001/archneur.57.10.1439. [DOI] [PubMed] [Google Scholar]
- 111.Wolozin B, Wang SW, Li NC, Lee A, Lee TA, Kazis LE. Simvastatin is associated with a reduced incidence of dementia and Parkinson's disease. BMC Med. 2007;5:20. doi: 10.1186/1741-7015-5-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Thelen KM, Rentsch KM, Gutteck U, Heverin M, Olin M, Andersson U, von Eckardstein A, Bjorkhem I, Lutjohann D. Brain cholesterol synthesis in mice is affected by high dose of simvastatin but not of pravastatin. J. Pharmacol. Exp. Ther. 2006;316:1146–1152. doi: 10.1124/jpet.105.094136. [DOI] [PubMed] [Google Scholar]
- 113.Murphy MP, Morales J, Beckett TL, Astarita G, Piomelli D, Weidner A, Studzinski CM, Dowling AL, Wang X, Levine H, III, Kryscio RJ, Lin Y, Barrett E, Head E. Changes in cognition and amyloid-beta processing with long term cholesterol reduction using atorvastatin in aged dogs. J. Alzheimers Dis. 2010;22:135–150. doi: 10.3233/JAD-2010-100639. [DOI] [PubMed] [Google Scholar]
- 114.Schenk D, Barbour R, Dunn W, Gordon G, Grajeda H, Guido T, Hu K, Huang J, Johnson-Wood K, Khan K, Kholodenko D, Lee M, Liao Z, Lieberburg I, Motter R, Mutter L, Soriano F, Shopp G, Vasquez N, Vandevert C, Walker S, Wogulis M, Yednock T, Games D, Seubert P. Immunization with amyloid-beta attenuates Alzheimer-disease-like pathology in the PDAPP mouse. Nature. 1999;400:173–177. doi: 10.1038/22124. [DOI] [PubMed] [Google Scholar]
- 115.Head E, Pop V, Vasilevko V, Hill M, Saing T, Sarsoza F, Nistor M, Christie LA, Milton S, Glabe C, Barrett E, Cribbs D. A two-year study with fibrillar beta-amyloid (Abeta) immunization in aged canines: effects on cognitive function and brain Abeta. J. Neurosci. 2008;28:3555–3566. doi: 10.1523/JNEUROSCI.0208-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Gilman S, Koller M, Black RS, Jenkins L, Griffith SG, Fox NC, Eisner L, Kirby L, Rovira MB, Forette F, Orgogozo JM. Clinical effects of Abeta immunization (AN1792) in patients with AD in an interrupted trial. Neurology. 2005;64:1553–1562. doi: 10.1212/01.WNL.0000159740.16984.3C. [DOI] [PubMed] [Google Scholar]
- 117.Holmes C, Boche D, Wilkinson D, Yadegarfar G, Hopkins V, Bayer A, Jones RW, Bullock R, Love S, Neal JW, Zotova E, Nicoll JA. Long-term effects of Abeta42 immunisation in Alzheimer's disease: follow-up of a randomised, placebo-controlled phase I trial. Lancet. 2008;372:216–223. doi: 10.1016/S0140-6736(08)61075-2. [DOI] [PubMed] [Google Scholar]
- 118.Martin SB, Dowling AL, Head E. Therapeutic interventions targeting Beta amyloid pathogenesis in an aging dog model. Curr. Neuropharmacol. 2011;9:651–661. doi: 10.2174/157015911798376217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Lai ZC, Moss MB, Killiany RJ, Rosene DL, Herndon JG. Executive system dysfunction in the aged monkey: spatial and object reversal learning. Neurobiol. Aging. 1995;16:947–954. doi: 10.1016/0197-4580(95)02014-4. [DOI] [PubMed] [Google Scholar]
- 120.Rapp PR. Visual discrimination and reversal learning in the aged monkey (Macaca mulatta) Behav. Neurosci. 1990;104:876–884. doi: 10.1037//0735-7044.104.6.876. [DOI] [PubMed] [Google Scholar]
- 121.Cronin-Golomb A. Color vision, object recognition, and spatial localization in aging and Alzheimer's disease. In: Hof PR, Mobbs CV, editors. Functional Neurobiology of Aging. San Diego: Academic Press; 2001. pp. 517–529. [Google Scholar]
- 122.Boutet I, Milgram NW, Freedman M. Cognitive decline and human (Homo sapiens) aging: an investigation using a comparative neuropsychological approach. J. Comp. Psychol. 2007;121:270–281. doi: 10.1037/0735-7036.121.3.270. [DOI] [PubMed] [Google Scholar]
- 123.Freedman M, Oscar-Berman M. Spatial and visual learning deficits in Alzheimer's disease and Parkinson's disease. Brain Cognit. 1989;11:114–126. doi: 10.1016/0278-2626(89)90009-2. [DOI] [PubMed] [Google Scholar]
- 124.Emborg ME, Ma SY, Mufson EJ, Levey AI, Taylor MD, Brown WD, Holden JE, Kordower JH. Age-related declines in nigral neuronal function correlate with motor impairments in rhesus monkeys. J. Comp. Neurol. 1998;401:253–265. [PubMed] [Google Scholar]
- 125.Kordower JH, Liu YT, Winn S, Emerich DF. Encapsulated PC12 cell transplants into hemiparkinsonian monkeys: a behavioral, neuroanatomical, and neurochemical analysis. Cell Transplant. 1995;4:155–171. doi: 10.1177/096368979500400203. [DOI] [PubMed] [Google Scholar]
- 126.Lezak MD, Howieson DB, Loring DW. Neuropsychological Assessment. 4th ed. New York: Oxford University Press; 2004. [Google Scholar]
- 127.Arnsten AFT, Goldman-Rakic PS. Alpha 2-adrenergic mechanisms in prefrontal cortex associated with cognitive decline in aged nonhuman primates. Science. 1985;230:1273–1276. doi: 10.1126/science.2999977. [DOI] [PubMed] [Google Scholar]