Differences between Human Plasma and Serum Metabolite Profiles

作者：Zhonghao Yu, Gabi Kastenmüller, Ying He, Petra Belcredi, Gabriele Möller, Cornelia Prehn, Joaquim Mendes, Simone Wahl, Werner Roemisch‐Margl, Uta Ceglarek, Alexey Polonikov, Norbert Dahmen, Holger Prokisch, Lu Xie, Yixue Li, H-Erich Wichmann, Annette Peters, Florian Kronenberg, Karsten Suhre, Jerzy Adamski, Thomas Illig, Rui Wang‐Sattler · 发表于：PLoS ONE · 年份：2011 · DOI：10.1371/journal.pone.0021230 · 被引用次数：495 · 研究领域：Metabolomics and Mass Spectrometry Studies、Advanced Proteomics Techniques and Applications、Clinical Laboratory Practices and Quality Control

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 signi...