Exploring efficient and effective mammalian models for Alzheimer’s disease

The aim of this study was to explore and discuss efficient and effective mammalian models for Alzheimer's disease (AD). In this study, efficient AD models are characterized by a small body size, a short lifespan, and rapid development of the main pathology including amyloid plaque formation. Effective AD models are expected to exhibit not only the main pathology, but also co-pathology associated with other neurodegenerative diseases (e.g., Lewy body dementia), systemic disturbances such as disrupted central-peripheral homeostasis, and sleep-circadian failures. This reflects recent findings indicating that AD is far more multifactorial than previously assumed. Although further investigation is required, non-human primates, particularly common marmosets (<i>Callithrix jacchus</i>), and dogs (<i>Canis lupus familiaris</i>) are candidates of promising and effective AD models. Tree shrews (<i>Tupaia belangeri</i>), guinea pigs (<i>Cavia porcellus</i>), and evolutionary related species including degus (<i>Octodon degus</i>) constitute an alternative group of AD models that remain underexplored but potentially efficient and effective. These mammalian models, together with hypothesis-driven mouse models and advances in data science technologies including omics and imaging analyses, may lead to breakthroughs in AD research, resulting in the development of effective prevention and treatment for AD.

Authors

Institutions

Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2025-08-14
DOI
https://doi.org/10.3389/fnagi.2025.1652754
Citations
1
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring efficient and effective mammalian models for Alzheimer’s disease

Mitsunori Kayano
1 citations
Frontiers in Aging Neuroscience
Genetics, Bioinformatics, and Biomedical Research
0.81
article

Exploring efficient and effective mammalian models for Alzheimer’s disease

Mitsunori Kayano
article en
1 citations

Abstract

The aim of this study was to explore and discuss efficient and effective mammalian models for Alzheimer's disease (AD). In this study, efficient AD models are characterized by a small body size, a short lifespan, and rapid development of the main pathology including amyloid plaque formation. Effective AD models are expected to exhibit not only the main pathology, but also co-pathology associated with other neurodegenerative diseases (e.g., Lewy body dementia), systemic disturbances such as disrupted central-peripheral homeostasis, and sleep-circadian failures. This reflects recent findings indicating that AD is far more multifactorial than previously assumed. Although further investigation is required, non-human primates, particularly common marmosets (<i>Callithrix jacchus</i>), and dogs (<i>Canis lupus familiaris</i>) are candidates of promising and effective AD models. Tree shrews (<i>Tupaia belangeri</i>), guinea pigs (<i>Cavia porcellus</i>), and evolutionary related species including degus (<i>Octodon degus</i>) constitute an alternative group of AD models that remain underexplored but potentially efficient and effective. These mammalian models, together with hypothesis-driven mouse models and advances in data science technologies including omics and imaging analyses, may lead to breakthroughs in AD research, resulting in the development of effective prevention and treatment for AD.

Frontiers in Aging NeuroscienceVol. 17
Obihiro University of Agriculture and Veterinary Medicine (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 24%
Genetics, Bioinformatics, and Biomedical Research
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.