ArticleMetabolites2022
Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- LC-MS-Based Analytical Strategies for Ganglioside Profiling.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Evaluation of LC/MS Methods for Hydrophilic Metabolites to Enable Integration of Human Blood Metabolome Data.Mass spectrometry (Tokyo, Japan) · 2026Article
- Male-specific amelioration of lipid metabolism by edible insectFood chemistry. Molecular sciences · 2025Article
- Seed Watermelon (Molecules (Basel, Switzerland) · 2025Article
- DHA-Triacylglycerol Accumulation in Tacrolimus-Induced Nephrotoxicity Identified by Lipidomic Profiling.International journal of molecular sciences · 2025Article
- Sex difference in BAT thermogenesis depends on PGC-1α-mediated phospholipid synthesis in mice.Nature communications · 2025Article
- Organelle communication maintains mitochondrial and endosomal homeostasis during podocyte lipotoxicity.JCI insight · 2024Article
Corrections and comments
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Authors and funding
21 authors at 10 institutions in 1 country.
Funding
Abstract
In mass spectrometry-based metabolomics, the differences in the analytical results from different laboratories/machines are an issue to be considered because various types of machines are used in each laboratory. Moreover, the analytical methods are unique to each laboratory. It is important to understand the reality of inter-laboratory differences in metabolomics. Therefore, we have evaluated whether the differences in analytical methods, with the exception sample pretreatment and including metabolite extraction, are involved in the inter-laboratory differences or not. In this study, nine facilities are evaluated for inter-laboratory comparisons of metabolomic analysis. Identical dried samples prepared from human and mouse plasma are distributed to each laboratory, and the metabolites are measured without the pretreatment that is unique to each laboratory. In these measurements, hydrophilic and hydrophobic metabolites are analyzed using 11 and 7 analytical methods, respectively. The metabolomic data acquired at each laboratory are integrated, and the differences in the metabolomic data from the laboratories are evaluated. No substantial difference in the relative quantitative data (human/mouse) for a little less than 50% of the detected metabolites is observed, and the hydrophilic metabolites have fewer differences between the laboratories compared with hydrophobic metabolites. From evaluating selected quantitatively guaranteed metabolites, the proportion of metabolites without the inter-laboratory differences is observed to be slightly high. It is difficult to resolve the inter-laboratory differences in metabolomics because all laboratories cannot prepare the same analytical environments. However, the results from this study indicate that the inter-laboratory differences in metabolomic data are due to measurement and data analysis rather than sample preparation, which will facilitate the understanding of the problems in metabolomics studies involving multiple laboratories.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.