Saliva metabolomics profiling - new publication


A GC-TOF-MS method was developed and validated for a metabolic fingerprinting in saliva of smokers and non-smokers. The method was applied to saliva of smokers and non-smokers, obtained from a 24-hours diet-controlled clinical study, in order to identify biomarkers of endogenous origin, which could be linked to smoking related diseases. Automated peak picking, integration and statistical analysis were conducted by the software tools MZmine, Metaboanalyst and PSPP. We could identify 13 significantly altered metabolites in smokers (p < 0.05) by matching them against MS libraries and authentic standard compounds. Most of the identified metabolites, including tyramine, adenosine and glucose-6-phosphat, could be linked to smoking-related perturbations and may be associated with established detrimental effects of smoking.

The submitted publication shows, for the first time, the impact of smoking on the human saliva metabolome.

Thus, we could demonstrate that our workflow is very well suited for metabolomic investigations in various matrices including plasma, urine and saliva.



Related publication:

Daniel C. Müller, Markus Piller, Reinhard Niessner, Max Scherer, Gerhard Scherer. Untargeted Metabolomic Profiling in Saliva of Smokers and Nonsmokers by a Validated GC-TOF-MS Method. J Proteome Res. 2014 Mar 7;13(3):1602-13.



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Max Scherer

Jan 13th 2014