Metabolomics Creative Proteomics

Salivary Metabolomics Service

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Whole saliva is mainly secreted by salivary glands, with gingival sulcus, mucosal exudate and microbial secretions also participating in its composition, and has the advantages of being non-invasive, simple, time-sensitive, universal, reliable and rich in biological information. It is a huge repository of potential biomarkers. Salivary composition is complex and variable, both between individuals and within the same individual. Changes in salivary composition are closely related to the pathophysiological state of the organism.

The oral cavity is inhabited by a rich and diverse array of microorganisms. Metabolomics explores metabolic response mechanisms by analyzing changes in metabolite levels following pathophysiological stimuli or genetic alterations in organisms. Salivary metabolomics allows the potential role of salivary metabolites in oral physiology to be elucidated, leading to an understanding of oral host-microbe interactions.

Salivary metabolomics uses high-throughput technologies to systematically study small molecular weight substances in saliva, including intermediate metabolites, hormones, and certain signaling molecules, showing great advantages in the pathogenesis of oral diseases, risk prediction, screening, diagnosis, pathological grading and prognostic assessment, and rapid identification of oral pathogenic microorganisms.

Creative Proteomics provides customized metabolomics analysis services based on your samples. We enable metabolic profiling, differential metabolite screening, and metabolic pathway analysis based on targeted and untargeted metabolomics technologies.

What We Can Provide:

Untargeted metabolomics analysis:

  • Metabolic profile analysis
  • Screening for differential metabolites
  • Metabolic pathway analysis of differential metabolites
  • Discover new biomarkers

Fig 1. The workflow of untargeted metabolomics analysisFig 1. The workflow of untargeted metabolomics analysis

Targeted metabolomics analysis:

  • Mode: SRM / MRM
  • Analysis content:Standard curve creation. Raw data preprocessing. Absolute quantification of metabolites.

Fig 2. The workflow of target metabolomics analysisFig 2. The workflow of target metabolomics analysis

Saliva Sample Collection

Salivary metabolomics is associated with its sensitivity to circadian rhythms, glandular stimulation, diet, age, gender, collection procedures, sample integrity, storage conditions, sample volume, etc.

Salivary metabolite profiles are not significantly influenced by lifestyle factors such as alcohol consumption, fasting, oral hygiene, medication use, or nutritional supplementation, but are most influenced by gender, followed by collection method, and then by smoking. Factors that cause changes in metabolites must be considered when sampling.

Sampling methods include non-stimulated saliva at rest and stimulated saliva obtained through various types of stimulation.

The timing of postprandial sample collection affects the level of salivary metabolites, and a 12-hour postprandial fast is recommended as optimal.

Deliverables

  • Experimental procedure
  • Parameters of chromatography and mass spectrometry
  • MS raw data files and MS data quality checks
  • Bioinformatics analysis report

Turnaround time: 2-6 weeks

Bioinformatics Analysis

Standard analysisData quality control (QC correlation analysis, PCA analysis of total samples)
Qualitative and quantitative results of metabolites
Differential metabolite screening (PCA, PLS-DA dimensionality reduction treatment, volcano map)
Differential metabolite analysis (Venn diagram, cluster heat map, metabolite correlation analysis, Z-score analysis, pathway analysis, ROC analysis)
Personalized analysisWeighted gene co-expression network analysis (WGCNA)
One way ANOVA

Creative Proteomics provides metabolomics services for saliva samples, and will deliver accurate and detailed data and analysis reports to you. If you want to know more, please contact us.

For Research Use Only. Not for use in diagnostic procedures.
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