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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
Published on: May 20, 2013
22.9K
Spatially resolved sampling for untargeted metabolomics: A new tool for salivomics
Alessio Ciurli1,2, Maximiliam Liebl2, Rico J E Derks2
1Oncode Institute and Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.
Iscience
|July 19, 2021
Summary
This study introduces new methods for collecting saliva samples, enabling detailed spatial analysis of the human oral metabolome. This research provides a reproducible protocol for understanding saliva
Area of Science:
- Oral biology
- Metabolomics
- Biochemistry
Background:
- Saliva is a complex fluid containing metabolites from salivary glands, oral cells, bacteria, and external compounds.
- Different saliva types have unique compositions and functions, necessitating spatially resolved analysis for biological insights.
- Understanding the oral cavity's heterogeneous environment requires advanced spatial sampling techniques for metabolomics.
Purpose of the Study:
- To systematically evaluate collection devices for spatially resolved sampling in untargeted metabolomics.
- To propose a comprehensive and reproducible protocol for collecting and analyzing the spatially resolved human oral metabolome.
Main Methods:
- Evaluation of various collection devices for spatial saliva sampling.
- Development of a standardized protocol for oral metabolomics analysis.
- Application of untargeted metabolomics techniques to spatially resolved saliva samples.
Main Results:
- Identification of optimal collection devices for spatial metabolomics.
- Establishment of a reproducible protocol for human oral metabolome analysis.
- Demonstration of the feasibility of spatially resolved oral metabolomics.
Conclusions:
- Spatially resolved analysis is crucial for understanding salivary component functionality.
- The proposed protocol enables comprehensive mapping of the human oral metabolome.
- This work provides a foundation for future research into oral fluid biomarkers and diagnostics.
