Nutritional assessment models for Alzheimer's disease: Advances and perspectives

Author:

Wen Yuxi12,Zhang Lizhu3,Li Na3,Tong Aijun3,Zhao Chao14

Affiliation:

1. College of Marine Sciences Fujian Agriculture and Forestry University Fuzhou China

2. Universidade de Vigo, Nutrition and Bromatology Group, Department of Analytical and Food Chemistry Faculty of Sciences Ourense Spain

3. College of Food Science Fujian Agriculture and Forestry University Fuzhou China

4. Key Laboratory of Marine Biotechnology of Fujian Province, Institute of Oceanology Fujian Agriculture and Forestry University Fuzhou China

Abstract

AbstractAlzheimer's disease (AD) is a neurodegenerative disease of uncertain pathogenesis that develops in the elderly population and is characterized by loss of cognitive function, memory loss, and deterioration of everyday behavior. The development of biological models of AD is constrained by the complexity of the pathogenesis and multiple causes. Creating disease models can aid in understanding the pathophysiology of AD and developing effective therapeutic drugs. In this review, the animal and cellular models that are currently being utilized to research AD are outlined and described in detail according to modeling approaches. The main animal models are natural aging models, transgenic models, and drug‐induced models. The main cellular models are traditional 2D cells, human induced pluripotent stem 2D cells (neurons and glial cells), and 3D cells, as well as organoid models, and the benefits and drawbacks of their various biological models are assessed. They do have their limitations due to an incomplete reflection of AD pathology. Therefore, new models for AD research are needed in the future. The summary of existing models is intended to provide a basis for the subsequent development of new disease models and to provide a reference for the study of disease mechanisms, clinical research, and new drug development in AD.

Funder

Natural Science Foundation of Fujian Province

Publisher

Wiley

Subject

Food Science

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