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Updated: May 31, 2026

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

Differences between human plasma and serum metabolite profiles.

Zhonghao Yu¹, Gabi Kastenmüller, Ying He

¹Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.

|July 16, 2011

Summary

Plasma and serum metabolite analysis reveals distinct profiles, with serum offering higher sensitivity for biomarker detection. Plasma exhibits better measurement stability, but both matrices yield comparable results when collection methods are consistent.

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Sample Preparation for Probe Electrospray Ionization Mass Spectrometry

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Last Updated: May 31, 2026

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

Sample Preparation for Probe Electrospray Ionization Mass Spectrometry

Sample Preparation for Probe Electrospray Ionization Mass Spectrometry

Published on: February 19, 2020

Area of Science:

Biochemistry
Clinical Chemistry
Metabolomics

Background:

Human plasma and serum are critical biological matrices for clinical and biological research.
Collection procedures and coagulation impact metabolite concentrations, necessitating characterization of these effects.

Purpose of the Study:

To comprehensively analyze and compare metabolite concentrations in simultaneously collected human plasma and serum.
To evaluate the stability and reproducibility of metabolite measurements in both matrices.
To assess the suitability of plasma and serum for biomarker discovery.

Main Methods:

Simultaneous collection and analysis of 163 metabolites from plasma and serum of 377 fasting individuals.
Exclusion of 41 low-stability metabolites and re-measurement of samples to assess reproducibility (mean r=0.83 for plasma, r=0.80 for serum).
Comparative analysis of metabolite profiles and identification of differentially abundant metabolites between plasma and serum, and between disease (type 2 diabetes) and control groups.

Main Results:

Plasma demonstrated significantly better measurement stability (p=0.01) compared to serum.
Metabolite profiles were distinct, with 104 metabolites higher in serum; 9 showed >20% concentration difference.
Serum identified more significantly different metabolites between phenotypes (e.g., type 2 diabetes vs. non-T2D) than plasma.

Conclusions:

Both plasma and serum offer good reproducibility, with plasma being more stable.
Consistent blood preparation ensures comparable results between matrices for most studies.
Higher metabolite concentrations in serum enhance sensitivity for biomarker detection.