J. Jung and S.-H. Kim contributed equally in this work.
Serum metabolomics reveals pathways and biomarkers associated with asthma pathogenesis
Version of Record online: 21 MAR 2013
© 2013 Blackwell Publishing Ltd
Clinical & Experimental Allergy
Volume 43, Issue 4, pages 425–433, April 2013
How to Cite
Clinical & Experimental Allergy, 2013 (43) 425–433., , , , , , , .
- Issue online: 21 MAR 2013
- Version of Record online: 21 MAR 2013
- Accepted manuscript online: 18 JAN 2013 03:15AM EST
- Manuscript Accepted: 5 DEC 2012
- Manuscript Revised: 3 DEC 2012
- Manuscript Received: 16 MAY 2012
- the National Research Foundation of Korea
- Ministry of Education, Science, and Technology. Grant Numbers: 2011-0028272, 2009-00786746, 2010-0019394
- KOSEF grant. Grant Number: 2009-0078646
- Korea Basic Science Institute. Grant Number: T32409
Figure S1. 2D NMR spectra of arginine, methionine and choline which were ambiguous metabolites in 1D NMR spectra.
Figure S2. Spectra of 10 key metabolites. Black lines are original spectra of serum and blue lines indicate spectra of acetate
Figure S3. Permutation test (repeated 30 times) of global (a) and targeted (b) profiling.
Figure S4. ROC curves for training (a) and external validation (b) sets using the PLS-DA model.
Figure S5. Scores plots of PCA of serum metabolites from patients with asthma, depending on treatment (blue dots, treatment group; red squares, non-treatment group) with a history of oral corticosteroid use during asthma exacerbation for 1 year prior to enrollment
Table S1. Chemical shifts and regions used for quantification of serum metabolites.
Table S2. Serum metabolites.
Table S3. LOD and LOQ of ten significant metabolites.
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