Development of metabolome extraction strategy for metabolite profiling of skin tissue

Ting Bu; Sooah Kim

doi:10.1007/s11306-024-02120-3

Development of metabolome extraction strategy for metabolite profiling of skin tissue

Metabolomics. 2024 Apr 29;20(3):48. doi: 10.1007/s11306-024-02120-3.

Authors

Ting Bu^{1

2

3}, Sooah Kim⁴

Affiliations

¹ Department of Environment Science & Biotechnology, Jeonju University, Jeonju, 55069, Korea.
² University Provincial Key Laboratory for Protection and Utilization of Longdong Bio- resources in Gan-su Province, Longdong University, Qingyang, 745000, China.
³ College of Life Sciences and Technology, Longdong University, Qingyang, 745000, China.
⁴ Department of Environment Science & Biotechnology, Jeonju University, Jeonju, 55069, Korea. skim366@jj.ac.kr.

PMID: 38683208
DOI: 10.1007/s11306-024-02120-3

Abstract

Introduction: Changes in skin phenotypic characteristics are based on skin tissue. The study of the metabolic changes in skin tissue can help understand the causes of skin diseases and identify effective therapeutic interventions.

Objectives: We aimed to establish and optimize a non-targeted skin metabolome extraction system for skin tissue metabolomics with high metabolite coverage, recovery, and reproducibility using gas chromatography/mass spectrometry.

Methods: The metabolites in skin tissues were extracted using eleven different extraction systems, which were designed using reagents with different polarities based on sequential solid-liquid extraction employing a two-step strategy and analyzed using gas chromatograph/mass spectrometry. The extraction efficiency of diverse solvents was evaluated by coefficient of variation (CV), multivariate analysis, metabolites coverage, and relative peak area analysis.

Results: We identified 119 metabolites and the metabolite profiles differed significantly between the eleven extraction systems. Metabolites with high abundances in the organic extraction systems, followed by aqueous extraction, were involved in the biosynthesis of unsaturated fatty acids, while metabolites with high abundances in the aqueous extraction systems, followed by organic extraction, were involved in amino sugar and nucleotide sugar metabolism, and glycerolipid metabolism. MeOH/chloroform-H₂O and MeOH/H₂O-chloroform were the extraction systems that yielded the highest number of metabolites, while MeOH/acetonitrile (ACN)-H₂O and ACN/H₂O-IPA exhibited superior metabolite recoveries.

Conclusion: Our results demonstrated that our research facilitates the selection of an appropriate metabolite extraction approach based on the experimental purpose for the metabolomics study of skin tissue.

Keywords: Gas chromatography-mass spectrometry; Metabolite extraction solvent systems; Metabolite profiling; Skin tissue.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Gas Chromatography-Mass Spectrometry* / methods
Humans
Male
Metabolome*
Metabolomics* / methods
Reproducibility of Results
Skin* / chemistry
Skin* / metabolism
Solvents

Substances

Solvents

Grants and funding

2020R1G1A100826811/National Research Foundation of Korea