Machine Learning-Assisted Sensor Array Based on Poly(amidoamine) (PAMAM) Dendrimers for Diagnosing Alzheimer?sDisease

被引:20
|
作者
Xu, Lian [1 ,2 ]
Wang, Hao [1 ,2 ]
Xu, Yu [1 ,2 ]
Cui, Wenyu [1 ,2 ]
Ni, Weiwei [1 ,2 ]
Chen, Mingqi [1 ,2 ]
Huang, Hui [3 ]
Stewart, Callum [3 ]
Li, Linxian [3 ]
Li, Fei [1 ,2 ]
Han, Jinsong [1 ,2 ]
机构
[1] China Pharmaceut Univ, State Key Lab Nat Med, Coll Engn, Nanjing 211109, Peoples R China
[2] China Pharmaceut Univ, Natl R&D Ctr Chinese Herbal Med Proc, Coll Engn, Dept Food Qual & Safety, Nanjing 211109, Peoples R China
[3] Karolinska Inst, Ming Wai Lau Ctr Reparat Med, S-17177 Stockholm, Sweden
来源
ACS SENSORS | 2022年 / 7卷 / 05期
基金
中国国家自然科学基金;
关键词
Alzheimer?s disease; PAMAM dendrimers; sensor array; machine learning algorithm; linear discriminant analysis; amyloid-?protein; AMYLOID-BETA; PROTEIN; BACTERIA; IDENTIFICATION; FLUORESCENCE; A-BETA(40); PROBE; MASS;
D O I
10.1021/acssensors.2c00132
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Alzheimer's disease (AD) is the most prevalentneurodegenerative disorder, and the early diagnosis of AD remainschallenging. Here we have developed afluorescent sensor arraycomposed of three modified polyamidoamine dendrimers. Proteins ofvarious properties were differentiated via this array with 100%accuracy, proving the rationality of the array's design. The mechanismof thefluorescence response was discussed. Furthermore, the robustthree-element array enables parallel detection of multiple A beta 40/A beta 42aggregates (0.5 mu M) in diverse interferents, serum media, andcerebrospinalfluid (CSF) with high accuracy, through machinelearning algorithms, demonstrating the tremendous potential of thesensor array in Alzheimer's disease diagnosis.
引用
收藏
页码:1315 / 1322
页数:8
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