Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories.
Comparative Evaluation of Plasma Metabolomic Data from Multiple Laboratories.
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DOI：
10.3390/metabo12020135
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发表时间：
2022-02-01
期刊：
影响因子：
4.1
通讯作者：
Bamba T
中科院分区：
文献类型：
--
作者：
Nishiumi S;Izumi Y;Hirayama A;Takahashi M;Nakao M;Hata K;Saigusa D;Hishinuma E;Matsukawa N;Tokuoka SM;Kita Y;Hamano F;Okahashi N;Ikeda K;Nakanishi H;Saito K;Hirai MY;Yoshida M;Oda Y;Matsuda F;Bamba T
在基于质谱的代谢组学中，不同实验室/机器的分析结果的差异是一个需要考虑的问题，因为每个实验室使用不同类型的机器。此外，每个实验室的分析方法都是独一无二的。了解代谢组学中实验室间差异的现实是很重要的。因此，我们评估了除样品预处理和代谢物提取外，分析方法的差异是否与实验室间差异有关。在这项研究中，九个设施被评估为代谢组学分析的实验室间比较。从人和小鼠血浆中制备的相同干燥样品被分发到每个实验室，代谢物在没有每个实验室特有的预处理的情况下进行测量。在这些测量中，亲水性和疏水性代谢物分别使用11种和7种分析方法进行分析。在每个实验室获得的代谢组学数据进行整合，并评估来自实验室的代谢组学数据的差异。不到50%的检测代谢物的相对定量数据（人/小鼠）没有实质性差异，与疏水代谢物相比，亲水性代谢物在实验室之间的差异较小。通过评估选定的定量保证的代谢物，观察到没有实验室间差异的代谢物的比例略高。很难解决代谢组学的实验室间差异，因为所有实验室不可能准备相同的分析环境。然而，本研究的结果表明，代谢组学数据的实验室间差异是由于测量和数据分析而不是样品制备，这将有助于理解涉及多个实验室的代谢组学研究中的问题。
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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影响因子：
4.1
作者：
Hata K;Soma Y;Yamashita T;Takahashi M;Sugitate K;Serino T;Miyagawa H;Suzuki K;Yamada K;Kawamukai T;Shiota T;Izumi Y;Bamba T
通讯作者：
Bamba T
影响因子：
--
作者：
Nishiumi S;Kobayashi T;Kawana S;Unno Y;Sakai T;Okamoto K;Yamada Y;Sudo K;Yamaji T;Saito Y;Kanemitsu Y;Okita NT;Saito H;Tsugane S;Azuma T;Ojima N;Yoshida M
通讯作者：
Yoshida M
影响因子：
3.6
作者：
Nishiumi, Shin;Shinohara, Masakazu;Yoshida, Masaru
通讯作者：
Yoshida, Masaru
影响因子：
6.1
作者：
Fushimi, Tatsuya;Izumi, Yoshihiro;Bamba, Takeshi
通讯作者：
Bamba, Takeshi
影响因子：
4.1
作者：
Saigusa D;Hishinuma E;Matsukawa N;Takahashi M;Inoue J;Tadaka S;Motoike IN;Hozawa A;Izumi Y;Bamba T;Kinoshita K;Ekroos K;Koshiba S;Yamamoto M
通讯作者：
Yamamoto M