Page 36 - Clinical-Medical Solution for Clinical Chemistry

Evaluation of an automated LC-MS/MS system for
analyzing hydrophilic blood metabolites

Table 4. Metabolites detected by using automated sample preparation
Amino acids
Asymmetric dimethylarginine Alanine Arginine Asparagine Aspartic acid
Citrulline Cysteine Cystathionine Cystine Dimethylglycine
Glutamine Glutamic acid Glycine Histidine Hydroxyproline
Isoleucine Leucine Lysine Methionine Methionine-sulfoxide
Ornitine Phenylalanine Proline Symmetric dimethylarginine Serine
Threonine/Homoserine Tryptophan Tyrosine Valine
Organic acids
cis-Aconitate Citrate Creatine Isocitrate Lactate
Malate Pantothenate Pyruvate Uric acid
Nucleosides and Nucleotides
Adenosine Guanosine Inosine Thymidine Uracil
Uridine AMP
Others
Carnitine Kynurenine Adenine Choline Acetylcarnitine
Creatinine

Conclusions

• The use of the CLAM-2000 as a fully automatic pre-treatment system for LC/MS-based metabolomics facilitates the
identi cation of metabolite biomarker candidates, the validation of metabolite biomarker candidates, and the practical
use of metabolite biomarkers.
• Further optimization of our method for CLAM-2000-based metabolome analysis is necessary.

Acknowledgements

This study was supported in part by a Grant-in-Aid for Scienti c Research (B) from the Japan Society for the Promotion
of Science (JSPS) [M.Y.]; a Grant-in-Aid for Scienti c Research (C) from the JSPS [S.N.]; the Practical Research for
Innovative Cancer Control from the Japan Agency for Medical Research and Development (AMED) [S.N., T.A., M.Y.];
and the AMED-CREST from the AMED [S.N., K.S., H.S., T.A., M.Y.].

The products and applications in this presentation are intended for Research Use Only (RUO). Not for use in
diagnostic procedures. Not available in China.

First Edition: June, 2017

© Shimadzu Corporation, 2017