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

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Differences in metabolite profiles caused by pre-analytical blood processing procedures.

Shin Nishiumi¹, Makoto Suzuki¹, Takashi Kobayashi¹

¹Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan.

Journal of Bioscience and Bioengineering

|December 21, 2017

Summary

This summary is machine-generated.

Metabolite stability in serum and plasma is crucial for biomarker discovery. Blood processing and storage conditions significantly alter metabolite levels, impacting disease diagnosis accuracy.

Keywords:

Blood processing Mass spectrometry Metabolomics Plasma Serum

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

Area of Science:

Clinical Chemistry
Biomarker Discovery
Metabolomics

Background:

Metabolomic analysis of serum and plasma is increasingly used for biomarker discovery and disease diagnosis.
Metabolite stability during pre-analytical blood processing is critical for reliable diagnostic biomarkers.
The impact of blood processing on metabolite stability remains incompletely understood.

Purpose of the Study:

To compare metabolite levels between human serum and plasma.
To assess the impact of pre-centrifugation storage conditions on plasma metabolite stability.

Main Methods:

Matched serum and plasma samples were analyzed.
Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) were employed.
Plasma samples were stored at room and cold temperatures before centrifugation.

Main Results:

76 metabolites showed significant differences between serum and plasma.
45 plasma metabolites were significantly affected by pre-centrifugation storage conditions.
Specific metabolites were identified as sensitive to processing and storage.

Conclusions:

Blood processing and storage significantly influence metabolomic profiles.
These pre-analytical factors must be carefully considered in biomarker discovery.
Standardized protocols are essential for accurate metabolomic biomarker applications in diagnostics.