Comparison of Kit-Based Metabolomics with Other Methodologies in a Large Cohort, towards Establishing Reference Values.
Comparison of Kit-Based Metabolomics with Other Methodologies in a Large Cohort, towards Establishing Reference Values.
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基于试剂盒的代谢组学与其他方法在大队列中的比较，旨在建立参考值。
DOI：
10.3390/metabo11100652
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发表时间：
2021-09-24
期刊：
影响因子：
4.1
通讯作者：
Yamamoto M
中科院分区：
文献类型：
--
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
代谢谱是一种组学方法，可用于观察表型变化，使其对生物标志物发现特别有吸引力。尽管在最近的临床研究中已经确定了几种用于疾病表达的候选代谢物生物标志物，但尚未建立健康受试者的参考值。特别是，质谱法（MS）测量浓度的准确性尚不清楚。因此，通过MS在大规模队列中进行综合代谢分析以创建具有参考范围的数据库对于评价所发现的生物标志物的质量至关重要。在这项研究中，我们测试了8700血浆样本的商业试剂盒为基础的代谢组学，并将它们分为两组6159和2541分析的基础上，不同的超高性能串联质谱（UHPLC-MS/MS）系统。我们评价了2541组参比物质中检测到的代谢物定量值与其他平台（如核磁共振（NMR）、超临界流体色谱串联质谱（SFC-MS/MS）和超高效液相色谱-傅里叶变换质谱（FTMS））定量值的质量。氨基酸的值与核磁共振结果高度相关，磷脂酰胆碱和神经酰胺等脂质物质表现出良好的相关性，而甘油三酯和胆固醇酯的值与使用SFC-MS/MS和UHPLC-FTMS进行的脂质组学分析相关性较小。通过基于MS的技术对定量值的评估对于大规模队列中的代谢谱分析是必不可少的。
Metabolic profiling is an omics approach that can be used to observe phenotypic changes, making it particularly attractive for biomarker discovery. Although several candidate metabolites biomarkers for disease expression have been identified in recent clinical studies, the reference values of healthy subjects have not been established. In particular, the accuracy of concentrations measured by mass spectrometry (MS) is unclear. Therefore, comprehensive metabolic profiling in large-scale cohorts by MS to create a database with reference ranges is essential for evaluating the quality of the discovered biomarkers. In this study, we tested 8700 plasma samples by commercial kit-based metabolomics and separated them into two groups of 6159 and 2541 analyses based on the different ultra-high-performance tandem mass spectrometry (UHPLC-MS/MS) systems. We evaluated the quality of the quantified values of the detected metabolites from the reference materials in the group of 2541 compared with the quantified values from other platforms, such as nuclear magnetic resonance (NMR), supercritical fluid chromatography tandem mass spectrometry (SFC-MS/MS) and UHPLC-Fourier transform mass spectrometry (FTMS). The values of the amino acids were highly correlated with the NMR results, and lipid species such as phosphatidylcholines and ceramides showed good correlation, while the values of triglycerides and cholesterol esters correlated less to the lipidomics analyses performed using SFC-MS/MS and UHPLC-FTMS. The evaluation of the quantified values by MS-based techniques is essential for metabolic profiling in a large-scale cohort.
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影响因子：
5.6
作者：
Kilk K;Aug A;Ottas A;Soomets U;Altraja S;Altraja A
通讯作者：
Altraja A
影响因子：
4.4
作者：
Carayol M;Leitzmann MF;Ferrari P;Zamora-Ros R;Achaintre D;Stepien M;Schmidt JA;Travis RC;Overvad K;Tjønneland A;Hansen L;Kaaks R;Kühn T;Boeing H;Bachlechner U;Trichopoulou A;Bamia C;Palli D;Agnoli C;Tumino R;Vineis P;Panico S;Quirós JR;Sánchez-Cantalejo E;Huerta JM;Ardanaz E;Arriola L;Agudo A;Nilsson J;Melander O;Bueno-de-Mesquita B;Peeters PH;Wareham N;Khaw KT;Jenab M;Key TJ;Scalbert A;Rinaldi S
通讯作者：
Rinaldi S
影响因子：
4.1
作者：
Jelonek, Karol;Krzywon, Aleksandra;Widlak, Piotr
通讯作者：
Widlak, Piotr
影响因子：
4.6
作者：
Koshiba S;Motoike I;Kojima K;Hasegawa T;Shirota M;Saito T;Saigusa D;Danjoh I;Katsuoka F;Ogishima S;Kawai Y;Yamaguchi-Kabata Y;Sakurai M;Hirano S;Nakata J;Motohashi H;Hozawa A;Kuriyama S;Minegishi N;Nagasaki M;Takai-Igarashi T;Fuse N;Kiyomoto H;Sugawara J;Suzuki Y;Kure S;Yaegashi N;Tanabe O;Kinoshita K;Yasuda J;Yamamoto M
通讯作者：
Yamamoto M
影响因子：
4.2
作者：
Hishinuma E;Shimada M;Matsukawa N;Saigusa D;Li B;Kudo K;Tsuji K;Shigeta S;Tokunaga H;Kumada K;Komine K;Shirota H;Aoki Y;Motoike IN;Yasuda J;Kinoshita K;Yamamoto M;Koshiba S;Yaegashi N
通讯作者：
Yaegashi N