Department of Environment Science & Biotechnology, Jeonju University, Jeonju, 55069, Korea.
University Provincial Key Laboratory for Protection and Utilization of Longdong Bio- resources in Gan-su Province, Longdong University, Qingyang, 745000, China.
Metabolomics. 2024 Apr 29;20(3):48. doi: 10.1007/s11306-024-02120-3.
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.
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.
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.
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-HO and MeOH/HO-chloroform were the extraction systems that yielded the highest number of metabolites, while MeOH/acetonitrile (ACN)-HO and ACN/HO-IPA exhibited superior metabolite recoveries.
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.
皮肤表型特征的变化基于皮肤组织。研究皮肤组织中的代谢变化有助于了解皮肤病的病因，并确定有效的治疗干预措施。
我们旨在建立和优化一种非靶向性皮肤代谢组学皮肤组织代谢组学提取系统，该系统采用气相色谱/质谱法，具有高代谢物覆盖率、回收率和重现性，使用不同极性的试剂基于两步策略进行顺序固液萃取设计。
采用 11 种不同的提取系统提取皮肤组织中的代谢物，这些系统是根据顺序固液萃取设计的，使用不同极性的试剂，采用两步策略，并用气相色谱/质谱进行分析。通过变异系数（CV）、多变量分析、代谢物覆盖率和相对峰面积分析评估不同溶剂的提取效率。
我们鉴定出 119 种代谢物，11 种提取系统之间的代谢物图谱差异显著。在有机提取系统中含量较高的代谢物，其次是水提取，参与不饱和脂肪酸的生物合成，而在水提取系统中含量较高的代谢物，其次是有机提取，参与氨基糖和核苷酸糖代谢以及甘油脂质代谢。MeOH/chloroform-HO 和 MeOH/HO-chloroform 是产生代谢物数量最多的提取系统，而 MeOH/acetonitrile (ACN)-HO 和 ACN/HO-IPA 则表现出较高的代谢物回收率。
我们的研究结果表明，我们的研究有助于根据实验目的选择合适的代谢物提取方法，用于皮肤组织的代谢组学研究。
