The combination of machine learning and untargeted metabolomics identifies the lipid metabolism -related gene CH25H as a potential biomarker in asthma-Reference-Cited by-同舟云学术

The combination of machine learning and untargeted metabolomics identifies the lipid metabolism -related gene CH25H as a potential biomarker in asthma

Published:2023-04-20 Issue:5 Volume:72 Page:1099-1119
ISSN:1023-3830
Container-title:Inflammation Research
language:en
Short-container-title:Inflamm. Res.

Author:

Ding Xuexuan,Qin Jingtong,Huang Fangfang,Feng Fuhai,Luo Lianxiang

Funder

the Science and Technology Special Project of Zhanjiang

The Guangdong Provincial Department of Education Research Project

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology,Immunology

Link

https://link.springer.com/content/pdf/10.1007/s00011-023-01732-0.pdf

Reference68 articles.

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3. Braido F. Failure in asthma control: reasons and consequences. Scientifica (Cairo). 2013;2013: 549252.

4. Rothe T, Spagnolo P, Bridevaux PO, Clarenbach C, Eich-Wanger C, Meyer F, et al. Diagnosis and management of asthma - the swiss guidelines. Respiration. 2018;95:364–80.

5. Lambrecht BN, Hammad H. The immunology of asthma. Nat Immunol. 2015;16:45–56.

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