Differences between Human Plasma and Serum Metabolite Profiles

被引：236

作者：

Yu, Zhonghao ^{[1
]}

Kastenmueller, Gabi ^{[2
]}

He, Ying ^{[1
,3
,4
]}

Belcredi, Petra ^{[5
]}

Moeller, Gabriele ^{[6
]}

Prehn, Cornelia ^{[6
]}

Mendes, Joaquim ^{[7
,8
,9
]}

Wahl, Simone ^{[1
]}

Roemisch-Margl, Werner ^{[2
]}

Ceglarek, Uta ^{[10
]}

Polonikov, Alexey ^{[11
]}

Dahmen, Norbert ^{[12
]}

Prokisch, Holger ^{[13
]}

Xie, Lu ^{[3
]}

Li, Yixue ^{[3
,4
]}

Wichmann, H. -Erich ^{[14
,15
]}

Peters, Annette ^{[5
]}

Kronenberg, Florian ^{[16
]}

Suhre, Karsten ^{[2
,17
,18
]}

Adamski, Jerzy ^{[6
,19
]}

Illig, Thomas ^{[1
]}

Wang-Sattler, Rui ^{[1
]}

机构：

[1] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Res Unit Mol Epidemiol, Neuherberg, Germany

[2] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Bioinformat & Syst Biol, Neuherberg, Germany

[3] Shanghai Ctr Bioinformat Technol, Shanghai, Peoples R China

[4] Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Syst Biol, Bioinformat Ctr, Shanghai, Peoples R China

[5] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Epidemiol 2, Neuherberg, Germany

[6] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Genome Anal Ctr, Inst Expt Genet, Neuherberg, Germany

[7] Tech Univ Munich, Dept Chem, Solid State NMR Spect, D-8046 Garching, Germany

[8] Tech Univ Munich, Dept Chem, Ctr Integrated Prot Sci, D-8046 Garching, Germany

[9] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Biol Struct, Neuherberg, Germany

[10] Univ Hosp Leipzig, Inst Lab Med Clin Chem & Mol Diagnost, Leipzig, Germany

[11] Kursk State Med Univ, Dept Biol Med Genet & Ecol, Kursk, Russia

[12] Johannes Gutenberg Univ Mainz, Dept Psychiat, D-6500 Mainz, Germany

[13] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Human Genet, Neuherberg, Germany

[14] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Epidemiol, Neuherberg, Germany

[15] Univ Munich, Inst Med Informat Biometry & Epidemiol, Munich, Germany

[16] Innsbruck Med Univ, Dept Med Genet Mol & Clin Pharmacol, Div Genet Epidemiol, Innsbruck, Austria

[17] Univ Munich, Fac Biol, Planegg Martinsried, Germany

[18] Educ City Qatar Fdn, Weill Cornell Med Coll Qatar, Dept Physiol & Biophys, Doha, Qatar

[19] Tech Univ Munich, Lehrstuhl Expt Genet, Munich, Germany

来源：

PLOS ONE | 2011年 / 6卷 / 07期

关键词：

CHROMATOGRAPHY; METABOLOMICS; COLLECTION; SAMPLES; ISSUES; ACID;

D O I：

10.1371/journal.pone.0021230

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Background: Human plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not been fully characterized. Methodology/Principal Findings: We analyzed the concentrations of 163 metabolites in plasma and serum samples collected simultaneously from 377 fasting individuals. To ensure data quality, 41 metabolites with low measurement stability were excluded from further analysis. In addition, plasma and corresponding serum samples from 83 individuals were re-measured in the same plates and mean correlation coefficients (r) of all metabolites between the duplicates were 0.83 and 0.80 in plasma and serum, respectively, indicating significantly better stability of plasma compared to serum (p = 0.01). Metabolite profiles from plasma and serum were clearly distinct with 104 metabolites showing significantly higher concentrations in serum. In particular, 9 metabolites showed relative concentration differences larger than 20%. Despite differences in absolute concentration between the two matrices, for most metabolites the overall correlation was high (mean r = 0.81 +/- 0.10), which reflects a proportional change in concentration. Furthermore, when two groups of individuals with different phenotypes were compared with each other using both matrices, more metabolites with significantly different concentrations could be identified in serum than in plasma. For example, when 51 type 2 diabetes (T2D) patients were compared with 326 non-T2D individuals, 15 more significantly different metabolites were found in serum, in addition to the 25 common to both matrices. Conclusions/Significance: Our study shows that reproducibility was good in both plasma and serum, and better in plasma. Furthermore, as long as the same blood preparation procedure is used, either matrix should generate similar results in clinical and biological studies. The higher metabolite concentrations in serum, however, make it possible to provide more sensitive results in biomarker detection.

引用

页数：6

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