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Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry

High-throughput metabolomics has enabled the development of large-scale cohort studies. Long-term studies require multiple batch-based measurements, which require sophisticated quality control (QC) to eliminate unexpected bias to obtain biologically meaningful quantified metabolomic profiles. Liquid...

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Autores principales: Hirayama, Akiyoshi, Ishikawa, Takamasa, Takahashi, Haruka, Yamanaka, Sanae, Ikeda, Satsuki, Hirata, Aya, Harada, Sei, Sugimoto, Masahiro, Soga, Tomoyoshi, Tomita, Masaru, Takebayashi, Toru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146188/
https://www.ncbi.nlm.nih.gov/pubmed/37110217
http://dx.doi.org/10.3390/metabo13040558
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author Hirayama, Akiyoshi
Ishikawa, Takamasa
Takahashi, Haruka
Yamanaka, Sanae
Ikeda, Satsuki
Hirata, Aya
Harada, Sei
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
author_facet Hirayama, Akiyoshi
Ishikawa, Takamasa
Takahashi, Haruka
Yamanaka, Sanae
Ikeda, Satsuki
Hirata, Aya
Harada, Sei
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
author_sort Hirayama, Akiyoshi
collection PubMed
description High-throughput metabolomics has enabled the development of large-scale cohort studies. Long-term studies require multiple batch-based measurements, which require sophisticated quality control (QC) to eliminate unexpected bias to obtain biologically meaningful quantified metabolomic profiles. Liquid chromatography–mass spectrometry was used to analyze 10,833 samples in 279 batch measurements. The quantified profile included 147 lipids including acylcarnitine, fatty acids, glucosylceramide, lactosylceramide, lysophosphatidic acid, and progesterone. Each batch included 40 samples, and 5 QC samples were measured for 10 samples of each. The quantified data from the QC samples were used to normalize the quantified profiles of the sample data. The intra- and inter-batch median coefficients of variation (CV) among the 147 lipids were 44.3% and 20.8%, respectively. After normalization, the CV values decreased by 42.0% and 14.7%, respectively. The effect of this normalization on the subsequent analyses was also evaluated. The demonstrated analyses will contribute to obtaining unbiased, quantified data for large-scale metabolomics.
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spelling pubmed-101461882023-04-29 Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry Hirayama, Akiyoshi Ishikawa, Takamasa Takahashi, Haruka Yamanaka, Sanae Ikeda, Satsuki Hirata, Aya Harada, Sei Sugimoto, Masahiro Soga, Tomoyoshi Tomita, Masaru Takebayashi, Toru Metabolites Article High-throughput metabolomics has enabled the development of large-scale cohort studies. Long-term studies require multiple batch-based measurements, which require sophisticated quality control (QC) to eliminate unexpected bias to obtain biologically meaningful quantified metabolomic profiles. Liquid chromatography–mass spectrometry was used to analyze 10,833 samples in 279 batch measurements. The quantified profile included 147 lipids including acylcarnitine, fatty acids, glucosylceramide, lactosylceramide, lysophosphatidic acid, and progesterone. Each batch included 40 samples, and 5 QC samples were measured for 10 samples of each. The quantified data from the QC samples were used to normalize the quantified profiles of the sample data. The intra- and inter-batch median coefficients of variation (CV) among the 147 lipids were 44.3% and 20.8%, respectively. After normalization, the CV values decreased by 42.0% and 14.7%, respectively. The effect of this normalization on the subsequent analyses was also evaluated. The demonstrated analyses will contribute to obtaining unbiased, quantified data for large-scale metabolomics. MDPI 2023-04-13 /pmc/articles/PMC10146188/ /pubmed/37110217 http://dx.doi.org/10.3390/metabo13040558 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hirayama, Akiyoshi
Ishikawa, Takamasa
Takahashi, Haruka
Yamanaka, Sanae
Ikeda, Satsuki
Hirata, Aya
Harada, Sei
Sugimoto, Masahiro
Soga, Tomoyoshi
Tomita, Masaru
Takebayashi, Toru
Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title_full Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title_fullStr Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title_full_unstemmed Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title_short Quality Control of Targeted Plasma Lipids in a Large-Scale Cohort Study Using Liquid Chromatography–Tandem Mass Spectrometry
title_sort quality control of targeted plasma lipids in a large-scale cohort study using liquid chromatography–tandem mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146188/
https://www.ncbi.nlm.nih.gov/pubmed/37110217
http://dx.doi.org/10.3390/metabo13040558
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