Anxiety is a Risk Factor of AD at an Early Stage With Gender Differences in APP V717I Transgenic Mice
Anxiety is a Risk Factor of AD at an Early Stage With Gender Differences in APP V717I Transgenic Mice
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DOI：
10.16476/j.pibb.2021.0089
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Hua Qian
中科院分区：
文献类型：
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作者：
Tan Yan;Wang Yalei;Peng Tiantian;Zhang Yali;Zhang Huawei;Chen Weihang;Yang Ke;Zhang Jiani;Wang Xu;Wei Peng;Liu Zhaoheng;Yang Kaiyu;Liu Tonghua;Hua Qian
Objective Alzheimer's disease (AD) is the most common form of dementia. There are two main risk factors for developing AD—age and gender. By aging, preclinical and clinical symptoms are emerging in succession. Anxiety is one of the typical early symptoms during AD processing. Besides, the incidence of AD is higher in women than in men. However, although the differences were observed in the AD cohort, there is a lack of the assessment of AD experimental animal models within age and gender. Methods We choose the APP London mutation (Val717Ile) transgenic (Tg) mice for study. This is one of the first described mutations in APP, with the early onset of AD. To illustrate if the gender difference occurred in APP V717I mice during AD processing, we made use of animal behavior tests, such as open field test, step-down test and Morris water maze to evaluate the noncognitive symptom and cognitive symptom. Results In this study, we found that at 6-month age, female Tg mice showed significant anxiety, while male Tg mice only showed anxiety at 10-month age. At 6-month age, both male and female Tg mice did not show cognitive deficits; but, at 10-month age, both genders showed significant cognitive impairments. Conclusion These results indicated that APP V717I Tg mice showed anxiety-like activity before the occurrence of memory deficits; in the process of AD, APP V717I Tg mice have a clear difference in age and gender. This study provides favorable evidence for age and gender differences in the process of AD. The mouse model is also expected to become an essential tool for AD drug research, aiming to help precision medicine and distinguish gender differences in drug use.
