pathological model of Alzheimer's disease based on neuronal network chip and its real-time dynamic analysis.
10.7507/1001-5515.201902014
- Author:
Fan GAO
1
;
Keqiang GAO
1
;
Chuanjiang HE
1
;
Mengxue LIU
1
;
Yanjie HU
2
;
Kejing YING
2
;
Hao WAN
1
;
Ping WANG
3
Author Information
1. Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou 310027, P.R.China.
2. Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, P.R.China.
3. Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou 310027, P.R.China.cnpwang@zju.edu.cn.
- Publication Type:Journal Article
- Keywords:
Alzheimer’s disease;
hippocampal neuron;
microelectrode array;
neuronal network chip
- MeSH:
Alzheimer Disease;
Amyloid beta-Peptides;
Humans;
Neurofibrillary Tangles;
tau Proteins
- From:
Journal of Biomedical Engineering
2019;36(6):893-901
- CountryChina
- Language:Chinese
-
Abstract:
Alzheimer's disease (AD) is a chronic central neurodegenerative disease. The pathological features of AD are the extracellular deposition of senile plaques formed by amyloid-β oligomers (AβOs) and the intracellular accumulation of neurofibrillary tangles formed by hyperphosphorylated tau protein. In this paper, an in vitro pathological model of AD based on neuronal network chip and its real-time dynamic analysis were presented. The hippocampal neuronal network was cultured on the microelectrode array (MEA) chip and induced by AβOs as an AD model to simultaneously record two firing patterns from the interneurons and pyramidal neurons. The spatial firing patterns mapping and cross-correlation between channels were performed to validate the degeneration of neuronal network connectivity. This biosensor enabled the detection of the AβOs toxicity responses, and the identification of connectivity and interactions between neuronal networks, which can be a novel technique in the research of AD pathological model .