Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis-Reference-Cited by-同舟云学术

Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis

Published:2023 Issue:18 Volume:148 Page:4318-4330
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Du Qiuyao¹²,Wang Xiao¹²,Chen Junyu¹²,Wang Yiran¹²,Liu Wenlan³,Wang Liping³,Liu Huihui¹²,Jiang Lixia⁴,Nie Zongxiu¹²^ORCID

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. Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518000, China

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

Abstract

Machine learning of urine and serum metabolic patterns encodes the discrimination and classification of autoimmune diseases. The selected metabolite panel, metabolite dysregulation and disturbance pathways were investigated.

Funder

National Natural Science Foundation of China

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/AN/D3AN01051A

Reference62 articles.

1. The roles of adenosine deaminase in autoimmune diseases

2. One year in review 2022: systemic lupus erythematosus