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Going Beyond Established Model Systems of Alzheimer's Disease: Companion Animals Provide Novel Insights into the Neurobiology of Aging

Overview
Journal Commun Biol
Specialty Biology
Date 2023 Jun 21
PMID 37344566
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Abstract

Alzheimer's disease (AD) is characterized by brain plaques, tangles, and cognitive impairment. AD is one of the most common age-related dementias in humans. Progress in characterizing AD and other age-related disorders is hindered by a perceived dearth of animal models that naturally reproduce diseases observed in humans. Mice and nonhuman primates are model systems used to understand human diseases. Still, these model systems lack many of the biological characteristics of Alzheimer-like diseases (e.g., plaques, tangles) as they grow older. In contrast, companion animal models (cats and dogs) age in ways that resemble humans. Both companion animal models and humans show evidence of brain atrophy, plaques, and tangles, as well as cognitive decline with age. We embrace a One Health perspective, which recognizes that the health of humans is connected to those of animals, and we illustrate how such a perspective can work synergistically to enhance human and animal health. A comparative biology perspective is ideally suited to integrate insights across veterinary and human medical disciplines and solve long-standing problems in aging.

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References
1.
Neus Bosch M, Pugliese M, Gimeno-Bayon J, Rodriguez M, Mahy N . Dogs with cognitive dysfunction syndrome: a natural model of Alzheimer's disease. Curr Alzheimer Res. 2011; 9(3):298-314. DOI: 10.2174/156720512800107546. View

2.
Rentz D, Huh T, Faust R, Budson A, Scinto L, Sperling R . Use of IQ-adjusted norms to predict progressive cognitive decline in highly intelligent older individuals. Neuropsychology. 2004; 18(1):38-49. DOI: 10.1037/0894-4105.18.1.38. View

3.
Hamadelseed O, Elkhidir I, Skutella T . Psychosocial Risk Factors for Alzheimer's Disease in Patients with Down Syndrome and Their Association with Brain Changes: A Narrative Review. Neurol Ther. 2022; 11(3):931-953. PMC: 9338203. DOI: 10.1007/s40120-022-00361-9. View

4.
Rosado B, Gonzalez-Martinez A, Pesini P, Garcia-Belenguer S, Palacio J, Villegas A . Effect of age and severity of cognitive dysfunction on spontaneous activity in pet dogs - part 1: locomotor and exploratory behaviour. Vet J. 2012; 194(2):189-95. DOI: 10.1016/j.tvjl.2012.03.025. View

5.
Wang L, Li P, Hou M, Zhang X, Cao X, Li H . Construction of a risk prediction model for Alzheimer's disease in the elderly population. BMC Neurol. 2021; 21(1):271. PMC: 8262052. DOI: 10.1186/s12883-021-02276-8. View