Urine and serum metabolic profiling combined with machine learning for autoimmune disease discrimination and classification

Author:

Du Qiuyao12,Wang Xiao12,Chen Junyu12,Xiong Caiqiao12ORCID,Liu Wenlan3,Liu Jianfeng4,Liu Huihui12,Jiang Lixia4,Nie Zongxiu12ORCID

Affiliation:

1. Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. The Center for Medical Genetics & Molecular Diagnosis, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen 518035, China

4. Department of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi Province 341000, China

Abstract

MALDI-MS metabolic patterns of urine and serum combined with machine learning achieved the rapid discrimination and classification of autoimmune diseases, and the metabolic disorders caused by the diseases were also investigated.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

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