A blood-based, metabolite and demographic characteristic markers panel for the diagnosis of Alzheimer's disease

Author:

Yang Li1ORCID,Tan Qilong2,Wan Wenjing3,Bu Zhibin1,Xuan Cheng4,Yu Caiyan4,Wu Jiong1,Yan Jing1

Affiliation:

1. Zhejiang Hospital, lingyin Road, Hangzhou Zhejiang Province, 310013, China

2. School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Xihu District, Hangzhou Zhejiang Province, 310012, China

3. The Fourth Clinical Medical College, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou Zhejiang Province, 310000, China

4. Zhuji Second People’s Hospital, Fengqiao Town, Zhuji Zhejiang Province, 311800, China

Abstract

Aims: This work was designed to provide early diagnosis strategies for Alzheimer's disease (AD) based on the identification of blood metabolic biomarkers. Patients & methods: A total of 90 subjects aged 60 years or older were included in this study; 45 patients were assigned to the case group and control group, respectively. A total of 31 target metabolites were quantitatively analyzed by parallel reaction monitoring between the two groups. Results & conclusion: Three metabolites were screened out, including cystine, serine and alanine/sarcosine. Logistic regression and random forest analysis were used to establish AD diagnosis models, and the model combining metabolic biomarkers and demographic variables had higher detection efficiency (area under the curve = 0.869). A combination diagnostic model to provide a scientific reference for early screening and diagnosis of AD was constructed.

Publisher

Future Science Ltd

Subject

Medical Laboratory Technology,Clinical Biochemistry,General Pharmacology, Toxicology and Pharmaceutics,General Medicine,Analytical Chemistry

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