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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.
Afiliação
  • Ishibashi Y; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Harada S; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Takeuchi A; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
  • Iida M; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Kurihara A; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Kato S; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Kuwabara K; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Hirata A; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Shibuki T; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Okamura T; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Sugiyama D; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Sato A; Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, Japan.
  • Amano K; Faculty of Nursing And Medical Care, Keio University, Fujisawa, Kanagawa, Japan.
  • Hirayama A; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
  • Sugimoto M; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
  • Soga T; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
  • Tomita M; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
  • Takebayashi T; Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
Sci Rep ; 11(1): 7407, 2021 04 01.
Article em En | MEDLINE | ID: mdl-33795760
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Metaboloma / Metabolômica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Metaboloma / Metabolômica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão País de publicação: Reino Unido