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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10146188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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