Metabolome analysis based on capillary electrophoresis-mass spectrometry

2014 ◽  
Vol 61 ◽  
pp. 215-222 ◽  
Author(s):  
Akiyoshi Hirayama ◽  
Masataka Wakayama ◽  
Tomoyoshi Soga
Keyword(s):  
Mass Spectrometry ◽  
Capillary Electrophoresis ◽  
Metabolome Analysis ◽  
Capillary Electrophoresis Mass Spectrometry

Quantitative Metabolome Analysis Using Capillary Electrophoresis Mass Spectrometry

2003 ◽  
Vol 2 (5) ◽  
pp. 488-494 ◽  
Author(s):  
Tomoyoshi Soga ◽  
Yoshiaki Ohashi ◽  
Yuki Ueno ◽  
Hisako Naraoka ◽  
Masaru Tomita ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Capillary Electrophoresis ◽  
Metabolome Analysis ◽  
Capillary Electrophoresis Mass Spectrometry

scholarly journals Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yoshiki Ishibashi ◽  
Sei Harada ◽  
Ayano Takeuchi ◽  
Miho Iida ◽  
Ayako Kurihara ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Capillary Electrophoresis ◽  
Cohort Study ◽  
Cohort Studies ◽  
Large Scale ◽  
Urine Samples ◽  
Metabolome Analysis ◽  
Spot Urine ◽  
Metabolite Concentrations ◽  
Capillary Electrophoresis Mass Spectrometry

AbstractCurrently, large-scale cohort studies for metabolome analysis have been launched globally. However, only a few studies have evaluated the reliability of urinary metabolome analysis. This study aimed to establish the reliability of urinary metabolomic profiling in cohort studies. In the Tsuruoka Metabolomics Cohort Study, 123 charged metabolites were identified and routinely quantified using capillary electrophoresis-mass spectrometry (CE-MS). We evaluated approximately 750 quality control (QC) samples and 6,720 participants’ spot urine samples. We calculated inter- and intra-batch coefficients of variation in the QC and participant samples and technical intraclass correlation coefficients (ICC). A correlation of metabolite concentrations between spot and 24-h urine samples obtained from 32 sub-cohort participants was also evaluated. The coefficient of variation (CV) was less than 20% for 87 metabolites (70.7%) and 20–30% for 19 metabolites (15.4%) in the QC samples. There was less than 20% inter-batch CV for 106 metabolites (86.2%). Most urinary metabolites would have reliability for measurement. The 96 metabolites (78.0%) was above 0.75 for the estimated ICC, and those might be useful for epidemiological analysis. Among individuals, the Pearson correlation coefficient of 24-h and spot urine was more than 70% for 59 of the 99 metabolites. These results show that the profiling of charged metabolites using CE-MS in morning spot human urine is suitable for epidemiological metabolomics studies.

Capillary electrophoresis-mass spectrometry using a flow-through microvial interface for cationic metabolome analysis

2013 ◽  
Vol 35 (9) ◽  
pp. 1308-1314 ◽  
Author(s):  
Petrus W. Lindenburg ◽  
Rawi Ramautar ◽  
Roxana G. Jayo ◽  
David D. Y. Chen ◽  
Thomas Hankemeier
Keyword(s):  
Mass Spectrometry ◽  
Capillary Electrophoresis ◽  
Metabolome Analysis ◽  
Flow Through ◽  
Capillary Electrophoresis Mass Spectrometry

scholarly journals Reliability of Urinary Charged Metabolite Concentrations in a Large-Scale Cohort Study Using Capillary Electrophoresis-Mass Spectrometry

2020 ◽  
Author(s):  
Yoshiki Ishibashi ◽  
Sei Harada ◽  
Ayano Takeuchi ◽  
Miho Iida ◽  
Ayako Kurihara ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Capillary Electrophoresis ◽  
Cohort Study ◽  
Large Scale ◽  
Pearson Correlation ◽  
Urine Samples ◽  
Metabolome Analysis ◽  
Spot Urine ◽  
Metabolite Concentrations ◽  
Capillary Electrophoresis Mass Spectrometry

Abstract Currently, large-scale cohort studies for metabolome analysis have been launched globally. However, only a few studies have evaluated the reliability of urinary metabolome analysis. This study aimed to establish the reliability of urinary metabolomic profiling in cohort studies.In the Tsuruoka Metabolomics Cohort Study, 123 charged metabolites were identified and routinely quantified using capillary electrophoresis-mass spectrometry (CE-MS). We evaluated approximately 750 quality control (QC) samples and 6,720 participants’ spot urine samples. We calculated inter- and intra-batch coefficients of variation in the QC and participant samples and technical intraclass correlation coefficients (ICC). A correlation of metabolite concentrations between spot and 24-hour urine samples obtained from 32 sub-cohort participants was also evaluated. The coefficient of variation (CV) was less than 20% for 87 metabolites (70.7%) and 20–30% for 19 metabolites (15.4%) in the QC samples. There was less than 20% inter-batch CV for 106 metabolites (86.2%). The 96 metabolites (78.0%) was above 0.75 for the estimated ICC. Among individuals, the Pearson correlation coefficient of 24-hours and spot urine was more than 70% for 59 of the 99 metabolites. These results show that the profiling of charged metabolites using CE-MS in morning spot human urine is suitable for epidemiological studies.

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