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

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 Meta...

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Autores principales: Ishibashi, Yoshiki, Harada, Sei, Takeuchi, Ayano, Iida, Miho, Kurihara, Ayako, Kato, Suzuka, Kuwabara, Kazuyo, Hirata, Aya, Shibuki, Takuma, Okamura, Tomonori, Sugiyama, Daisuke, Sato, Asako, Amano, Kaori, Hirayama, Akiyoshi, Sugimoto, Masahiro, Soga, Tomoyoshi, Tomita, Masaru, Takebayashi, Toru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016858/
https://www.ncbi.nlm.nih.gov/pubmed/33795760
http://dx.doi.org/10.1038/s41598-021-86600-9
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author Ishibashi, Yoshiki
Harada, Sei
Takeuchi, Ayano
Iida, Miho
Kurihara, Ayako
Kato, Suzuka
Kuwabara, Kazuyo
Hirata, Aya
Shibuki, Takuma
Okamura, Tomonori
Sugiyama, Daisuke
Sato, Asako
Amano, Kaori
Hirayama, Akiyoshi
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
author_facet Ishibashi, Yoshiki
Harada, Sei
Takeuchi, Ayano
Iida, Miho
Kurihara, Ayako
Kato, Suzuka
Kuwabara, Kazuyo
Hirata, Aya
Shibuki, Takuma
Okamura, Tomonori
Sugiyama, Daisuke
Sato, Asako
Amano, Kaori
Hirayama, Akiyoshi
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
author_sort Ishibashi, Yoshiki
collection PubMed
description 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-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.
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spelling pubmed-80168582021-04-05 Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry Ishibashi, Yoshiki Harada, Sei Takeuchi, Ayano Iida, Miho Kurihara, Ayako Kato, Suzuka Kuwabara, Kazuyo Hirata, Aya Shibuki, Takuma Okamura, Tomonori Sugiyama, Daisuke Sato, Asako Amano, Kaori Hirayama, Akiyoshi Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru Sci Rep Article 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-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. Nature Publishing Group UK 2021-04-01 /pmc/articles/PMC8016858/ /pubmed/33795760 http://dx.doi.org/10.1038/s41598-021-86600-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ishibashi, Yoshiki
Harada, Sei
Takeuchi, Ayano
Iida, Miho
Kurihara, Ayako
Kato, Suzuka
Kuwabara, Kazuyo
Hirata, Aya
Shibuki, Takuma
Okamura, Tomonori
Sugiyama, Daisuke
Sato, Asako
Amano, Kaori
Hirayama, Akiyoshi
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title_full Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title_fullStr Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title_full_unstemmed Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title_short Reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
title_sort reliability of urinary charged metabolite concentrations in a large-scale cohort study using capillary electrophoresis-mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016858/
https://www.ncbi.nlm.nih.gov/pubmed/33795760
http://dx.doi.org/10.1038/s41598-021-86600-9
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