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Sample optimization for saliva 1H-NMR metabolic profiling.

Eleonora Quartieri1, Emanuela Casali2, Elena Ferrari2

  • 1Department of Medicine and Surgery, University of Parma, Parma, Italy; Transfusion Medicine Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Analytical Biochemistry
|October 17, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new protocol for saliva 1H-NMR metabolomic profiling. It enables precise identification and quantification of low-concentration metabolites across all saliva types for disease biomarker discovery.

Keywords:
(1)H NMR metabolic profileParotid salivaSample preparationSubmandibular/sublingual salivaWhole saliva

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biomarker Discovery

Background:

  • Nuclear Magnetic Resonance (NMR) metabolomics of whole saliva offers potential diagnostic biomarkers for various diseases.
  • A thorough understanding of salivary metabolite significance across different saliva subtypes (whole, parotid, submandibular/sublingual) is lacking.
  • Reproducible sample preparation is crucial for accurate metabolomic analysis.

Purpose of the Study:

  • To present a simple, efficient, and optimized protocol for saliva 1H-NMR metabolic profiling.
  • To enable the identification and quantification of low-concentration metabolites (down to 1.1 μM).
  • To provide a method suitable for all saliva subtypes.

Main Methods:

  • Development of a standardized saliva sample preparation protocol.
  • Optimization of 1H-NMR spectroscopy for enhanced sensitivity.
  • Validation of the protocol across whole, parotid, and submandibular/sublingual saliva samples.

Main Results:

  • The protocol demonstrates high precision and reproducibility.
  • It successfully identifies and quantifies low-concentration metabolites.
  • The method is applicable to all tested saliva subtypes.

Conclusions:

  • The developed protocol is a valuable tool for saliva metabolomic analysis.
  • It facilitates comprehensive interpretation of salivary metabolites for disease research.
  • This method supports the discovery of novel diagnostic biomarkers in saliva.