Influence of collection tubes during quantitative targeted metabolomics studies in human blood samples

被引:48
作者
Paglia, Giuseppe [1 ]
Del Greco, Fabiola M. [1 ]
Sigurdsson, Baldur B. [1 ,2 ]
Rainer, Johannes [1 ]
Volani, Chiara [1 ,3 ]
Hicks, Andrew A. [1 ]
Pramstaller, Peter P. [1 ]
Smarason, Sigurdur V. [1 ]
机构
[1] Eurac Res, Inst Biomed, Bolzano, Italy
[2] Landspitoli Univ Hosp, Dept Clin Biochem, Reykjavik, Iceland
[3] Med Univ Innsbruck, Dept Internal Med 2, Innsbruck, Austria
关键词
Targeted metabolomics; Plasma EDTA; Plasma citrate; Serum; Sarcosine; AbsoluteIDQ p180 kit biocrates; HUMAN SERUM; PLASMA; PLATELETS; AGE;
D O I
10.1016/j.cca.2018.08.014
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: Plasma and serum are the most widely used matrices in clinical studies. However, some variability in absolute concentrations of metabolites are likely to be observed in these collection tubes matrices. Methods: We analyzed 189 metabolites using the same protocol for quantitative targeted metabolomics (LC-MS/MS AbsoluteIDQ p180 Kit Biocrates) in three types of samples, serum, plasma EDTA and citrate, of 80 subjects from the Cooperative Health Research In South Tyrol cohort (40 healthy elderly and 40 healthy young). Results: The concentration levels were higher in serum than citrate and EDTA, in particular for amino acids and biogenic amines. The average Pearson's correlation coefficients were however always higher than 0.7 for these two classes of metabolites. We could also demonstrate that blank EDTA vacutainer tubes contain a significant amount of sarcosine. Finally, we compared the metabolome of young people against elderly subjects and found that the highest number of metabolites significantly changing with age was detected in serum. Conclusion: Serum samples provide higher sensitivity for biomarker discovery studies. Due to the presence of spurious amount of sarcosine in vacutainer EDTA tubes, plasma EDTA is not suitable for studies requiring accurate quantification of sarcosine.
引用
收藏
页码:320 / 328
页数:9
相关论文
共 34 条
[21]   Sequential recruitment of study participants may inflate genetic heritability estimates [J].
Noce, Damia ;
Gogele, Martin ;
Schwienbacher, Christine ;
Caprioli, Giulia ;
De Grandi, Alessandro ;
Foco, Luisa ;
Platzgummer, Stefan ;
Pramstaller, Peter P. ;
Pattaro, Cristian .
HUMAN GENETICS, 2017, 136 (06) :743-757
[22]   Biomarkers defining the metabolic age of red blood cells during cold storage [J].
Paglia, Giuseppe ;
D'Alessandro, Angelo ;
Rolfsson, Ottar ;
Sigurjonsson, Olafur E. ;
Bordbar, Aarash ;
Palsson, Sirus ;
Nemkov, Travis ;
Hansen, Kirk C. ;
Gudmundsson, Sveinn ;
Palsson, Bernhard O. .
BLOOD, 2016, 128 (13) :E43-E50
[23]   Unbiased Metabolomic Investigation of Alzheimer's Disease Brain Points to Dysregulation of Mitochondrial Aspartate Metabolism [J].
Paglia, Giuseppe ;
Stocchero, Matteo ;
Cacciatore, Stefano ;
Lai, Steven ;
Angel, Peggi ;
Alam, Mohammad Tauqeer ;
Keller, Markus ;
Ralser, Markus ;
Astarita, Giuseppe .
JOURNAL OF PROTEOME RESEARCH, 2016, 15 (02) :608-618
[24]   Metabolomic analysis of platelets during storage: a comparison between apheresis- and buffy coat-derived platelet concentrates [J].
Paglia, Giuseppe ;
Sigurjonsson, Olafur E. ;
Rolfsson, Ottar ;
Hansen, Morten Bagge ;
Brynjolfsson, Sigurdur ;
Gudmundsson, Sveinn ;
Palsson, Bernhard O. .
TRANSFUSION, 2015, 55 (02) :301-313
[25]   Comprehensive metabolomic study of platelets reveals the expression of discrete metabolic phenotypes during storage [J].
Paglia, Giuseppe ;
Sigurjonsson, Olafur E. ;
Rolfsson, Ottar ;
Valgeirsdottir, Soley ;
Hansen, Morten Bagge ;
Brynjolfsson, Sigurdur ;
Gudmundsson, Sveinn ;
Palsson, Bernhard O. .
TRANSFUSION, 2014, 54 (11) :2911-2923
[26]   The Cooperative Health Research in South Tyrol (CHRIS) study: rationale, objectives, and preliminary results [J].
Pattaro, Cristian ;
Goegele, Martin ;
Mascalzoni, Deborah ;
Melotti, Roberto ;
Schwienbacher, Christine ;
De Grandi, Alessandro ;
Foco, Luisa ;
D'Elia, Yuri ;
Linder, Barbara ;
Fuchsberger, Christian ;
Minelli, Cosetta ;
Egger, Clemens ;
Kofink, Lisa S. ;
Zanigni, Stefano ;
Schaefer, Torsten ;
Facheris, Maurizio F. ;
Smarason, Sigurour V. ;
Rossini, Alessandra ;
Hicks, Andrew A. ;
Weiss, Helmuth ;
Pramstaller, Peter P. .
JOURNAL OF TRANSLATIONAL MEDICINE, 2015, 13
[27]   Preanalytical variables for liquid chromatography-mass spectrometry (LC-MS) analysis of human blood specimens [J].
Salvagno, Gian Luca ;
Danese, Elisa ;
Lippi, Giuseppe .
CLINICAL BIOCHEMISTRY, 2017, 50 (10-11) :582-586
[28]   Interlaboratory Reproducibility of a Targeted Metabolomics Platform for Analysis of Human Serum and Plasma [J].
Siskos, Alexandros P. ;
Jain, Poop ;
Romisch-Margl, Werner ;
Bennet, Mark ;
Achaintre, David ;
Asad, Yasmin ;
Marney, Luke ;
Richardson, Larissa ;
Koulman, Albert ;
Griffin, Julian L. ;
Raynaud, Florence ;
Scalbert, Augustin ;
Adamski, Jerzy ;
Prehn, Cornelia ;
Keun, Hector C. .
ANALYTICAL CHEMISTRY, 2017, 89 (01) :656-665
[29]   Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression [J].
Sreekumar, Arun ;
Poisson, Laila M. ;
Rajendiran, Thekkelnaycke M. ;
Khan, Amjad P. ;
Cao, Qi ;
Yu, Jindan ;
Laxman, Bharathi ;
Mehra, Rohit ;
Lonigro, Robert J. ;
Li, Yong ;
Nyati, Mukesh K. ;
Ahsan, Aarif ;
Kalyana-Sundaram, Shanker ;
Han, Bo ;
Cao, Xuhong ;
Byun, Jaeman ;
Omenn, Gilbert S. ;
Ghosh, Debashis ;
Pennathur, Subramaniam ;
Alexander, Danny C. ;
Berger, Alvin ;
Shuster, Jeffrey R. ;
Wei, John T. ;
Varambally, Sooryanarayana ;
Beecher, Christopher ;
Chinnaiyan, Arul M. .
NATURE, 2009, 457 (7231) :910-914
[30]   Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting [J].
Suhre, Karsten ;
Meisinger, Christa ;
Doering, Angela ;
Altmaier, Elisabeth ;
Belcredi, Petra ;
Gieger, Christian ;
Chang, David ;
Milburn, Michael V. ;
Gall, Walter E. ;
Weinberger, Klaus M. ;
Mewes, Hans-Werner ;
de Angelis, Martin Hrabe ;
Wichmann, H. -Erich ;
Kronenberg, Florian ;
Adamski, Jerzy ;
Illig, Thomas .
PLOS ONE, 2010, 5 (11)