对来自杂食动物和素食动物供体的全人类粪便候选参考材料进行多平台代谢组学实验室间研究。

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Abraham Kuri Cruz, Marina Amaral Alves, Thorkell Andresson, Amanda L Bayless, Kent J Bloodsworth, John A Bowden, Kevin Bullock, Meagan C Burnet, Fausto Carnevale Neto, Angelina Choy, Clary B Clish, Sneha P Couvillion, Raquel Cumeras, Lucas Dailey, Guido Dallmann, W Clay Davis, Amy A Deik, Alex M Dickens, Danijel Djukovic, Pieter C Dorrestein, Josie G Eder, Oliver Fiehn, Roberto Flores, Helen Gika, Kehau A Hagiwara, Tuan Hai Pham, James J Harynuk, Juan J Aristizabal-Henao, David W Hoyt, Focant Jean-François, Matilda Kråkström, Amit Kumar, Jennifer E Kyle, Santosh Lamichhane, Yuan Li, Seo Lin Nam, Rupasri Mandal, A Paulina de la Mata, Michael J Meehan, Thomas Meikopoulos, Thomas O Metz, Thomai Mouskeftara, Nathalie Munoz, G A Nagana Gowda, Matej Orešic, Morgan Panitchpakdi, Stefanuto Pierre-Hugues, Daniel Raftery, Blake Rushing, Tracey Schock, Harold Seifried, Stephanie Servetas, Tong Shen, Susan Sumner, Kieran S Tarazona Carrillo, Dejong Thibaut, Jesse B Trejo, Lieven Van Meulebroek, Lynn Vanhaecke, Christina Virgiliou, Kelly C Weldon, David S Wishart, Lu Zhang, Jiamin Zheng, Sandra Da Silva
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引用次数: 0

摘要

引言:人类代谢组学在了解代谢变化及其对人类健康的影响方面取得了长足进步,在诊断和治疗方面的应用前景广阔,尤其是在肠道微生物组方面。然而,不同研究之间的数据可比性和可重复性问题阻碍了研究的进展,限制了将这些发现转化为实际应用:本研究旨在评估一套人类粪便样本作为潜在候选参考材料(RMs)的适用性,并评估该领域在协调肠道代谢组学测量方面的现状:方法:18 个参与机构进行了一项实验室间研究。研究允许使用首选的分析技术,包括液相色谱-质谱法(LC-MS)、气相色谱-质谱法(GC-MS)和核磁共振法(NMR):不同的实验室采用不同的方法和分析平台来鉴定人体粪便 RM 样品中的代谢物。研究发现,报告中含量最高的前 20 种代谢物在四种材料中的重复率为 40% 至 70%。在完整的注释列表中,命名标准化后多次报告的代谢物比例分别为 36%(LC-MS)、58%(GC-MS)和 76%(NMR)。在 9,300 个独特的代谢物中,只有 37 个代谢物在所有三种测量技术中均有报告:这项合作活动强调了多技术方法可能带来的广泛化学调查。社区参与对于评估和表征常见材料至关重要,旨在促进可比性和确保数据质量,强调了通过实验室间研究确定当前实践、挑战和领域进展的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

Introduction: Human metabolomics has made significant strides in understanding metabolic changes and their implications for human health, with promising applications in diagnostics and treatment, particularly regarding the gut microbiome. However, progress is hampered by issues with data comparability and reproducibility across studies, limiting the translation of these discoveries into practical applications.

Objectives: This study aims to evaluate the fit-for-purpose of a suite of human stool samples as potential candidate reference materials (RMs) and assess the state of the field regarding harmonizing gut metabolomics measurements.

Methods: An interlaboratory study was conducted with 18 participating institutions. The study allowed for the use of preferred analytical techniques, including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR).

Results: Different laboratories used various methods and analytical platforms to identify the metabolites present in human stool RM samples. The study found a 40% to 70% recurrence in the reported top 20 most abundant metabolites across the four materials. In the full annotation list, the percentage of metabolites reported multiple times after nomenclature standardization was 36% (LC-MS), 58% (GC-MS) and 76% (NMR). Out of 9,300 unique metabolites, only 37 were reported across all three measurement techniques.

Conclusion: This collaborative exercise emphasized the broad chemical survey possible with multi-technique approaches. Community engagement is essential for the evaluation and characterization of common materials designed to facilitate comparability and ensure data quality underscoring the value of determining current practices, challenges, and progress of a field through interlaboratory studies.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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