Salivaomics: The Future of Non-Invasive Diagnosis for Oral and Systemic Diseases

Salivaomics: The Future of Non-Invasive Diagnosis for Oral and Systemic Diseases

Introduction

Saliva, an often-overlooked biological fluid, has the potential to revolutionize diagnostics due to its ease of collection, non-invasiveness, and rich content of biomolecules. With the advent of advanced analytical technologies, the field of "salivaomics" has emerged, encompassing the study of the salivary proteome, transcriptome, microRNAs, metabolome, and microbiome. This article delves into the utility of salivary biomarkers for diagnosing oral and systemic diseases, such as oral lichen planus, oral cancer, blistering diseases, and psoriasis, as well as the challenges and future directions in this burgeoning field.

Activated PMNs, gingival epithelial cells, and fibroblasts secrete MMP-8 and regulatory molecules in oral fluid.

Saliva as a Diagnostic Medium

Saliva is secreted by the major salivary glands—parotid, submandibular, and sublingual—as well as minor glands scattered throughout the oral cavity. It performs several essential functions, including lubrication of the oral cavity, facilitation of mastication and digestion, antimicrobial protection, and buffering of acidic foods. In terms of composition, saliva is primarily water (99%) with the remaining 1% consisting of proteins (mucins, enzymes, immunoglobulins), electrolytes, lipids, and inorganic substances.

The ease and non-invasiveness of saliva collection make it a highly attractive medium for diagnostic purposes. Despite the lower concentrations of analytes compared to blood, advancements in molecular technologies have significantly enhanced the sensitivity of salivary assays, enabling the detection of a wide range of biomarkers.

The Rise of Salivaomics

The term "salivaomics" was introduced in 2008 to describe the comprehensive study of various "omics" in saliva, including the genome, transcriptome, proteome, metabolome, and microbiome. This multidisciplinary approach aims to unravel the complexities of saliva and its potential as a diagnostic fluid.

Salivary Genome and Transcriptome

Saliva contains DNA that can be analyzed to detect genetic variations and mutations associated with diseases. Approximately 24 μg of DNA is present in saliva, which is significantly less than in blood but sufficient for various genomic analyses. Techniques such as polymerase chain reaction (PCR) and sequencing arrays are employed to investigate aberrant DNA methylation, an early marker of neoplastic alterations.

The transcriptome of saliva includes mRNA and microRNAs (miRNAs), which are crucial for understanding gene expression and regulation. Reverse transcriptase PCR and microarray analyses are commonly used to study salivary RNA. Recent advancements in stabilizing and processing RNA have facilitated its use in diagnosing conditions like cancer. MicroRNAs, small non-coding RNAs involved in gene regulation, have shown potential as biomarkers for various diseases due to their stability and role in oncogenesis.

Salivary Metabolome

The metabolome refers to the collection of small molecules (metabolites) in saliva, including nucleic acids, vitamins, lipids, organic acids, carbohydrates, and amino acids. Metabolomic analysis can provide insights into an individual's overall health and detect alterations associated with systemic diseases. Techniques such as capillary electrophoresis, mass spectrometry, and nuclear magnetic resonance (NMR) spectroscopy are used to profile salivary metabolites.

Metabolomics has proven useful in differentiating between healthy individuals and patients with cancer. For example, specific metabolites have been identified as cancer-associated, and their levels can reflect disease presence and progression. The use of NMR and liquid chromatography-mass spectrometry (LC-MS) has further enhanced the resolution and sensitivity of metabolomic analyses.

Salivary Proteome

The proteome encompasses the complete set of proteins present in saliva. Saliva contains over 2000 proteins with diverse biological functions. Analyzing the salivary proteome involves overcoming challenges related to protein degradation. Researchers often use protease inhibitors to preserve protein integrity before analysis. Techniques like 2D-PAGE, 2D-DIGE, and mass spectrometry are employed to identify and quantify salivary proteins.

Proteomic studies have identified various proteins associated with inflammation and disease. For instance, proteins involved in immune responses and tissue repair have been linked to oral diseases such as lichen planus and cancer.

Salivary Microbiome

The salivary microbiome refers to the diverse community of microorganisms present in the oral cavity. Next-generation sequencing has enabled the identification of thousands of microbial species in saliva. The study of the microbiome is crucial for understanding its role in oral health and disease.

Oral dysbiosis, an imbalance in the microbial community, has been associated with diseases such as periodontal disease, caries, and potentially cancer. Techniques like 16S ribosomal RNA gene sequencing and MALDI-TOF MS are used to profile the salivary microbiome. The presence of certain microorganisms can serve as biomarkers for disease and help in understanding disease mechanisms.

Applications of Salivaomics in Disease Detection

Oral Lichen Planus

Oral lichen planus (OLP) is a chronic inflammatory condition of the oral mucosa with a potential risk for malignant transformation. Identifying salivary biomarkers like fibrinogen fragment D, complement component C3c, and cystatin SA could aid in early diagnosis. Proteomic studies have highlighted the role of oxidative stress and cytokine profiles (IL-6, IL-8) in OLP, opening the possibility of salivary biomarker-based diagnostics and monitoring.

Oral Cancer

Oral cancer's high mortality rate underscores the need for early detection. Research has shown that salivary miRNAs (e.g., miR-21, miR-125a) and metabolites (e.g., fucose, proline) are potential biomarkers for distinguishing between healthy states, OLP, and oral squamous cell carcinoma (OSCC). Additionally, microbial profiles in saliva might offer diagnostic and prognostic insights into oral malignancies.

Blistering Diseases

Bullous pemphigoid (BP) and pemphigus vulgaris (PV) are characterized by autoantibodies against cellular adhesion molecules. Salivary diagnostics, especially for PV, focus on detecting desmoglein antibodies using techniques like ELISA. Correlations between antibody levels in saliva and disease severity suggest that salivary biomarkers can aid in disease monitoring.

Sjögren's Syndrome

Sjögren's syndrome (SS) manifests as inflammation and destruction of exocrine glands, leading to xerostomia and systemic involvement. Salivary autoantibodies (anti-Ro/SSA, anti-La/SSB), cytokine profiles, and novel miRNAs (e.g., miR-146a) are being investigated as diagnostic tools. Early detection of lymphoma, a severe SS complication, also benefits from salivaomic studies, as evidenced by the identification of specific protein markers.

Psoriasis

Emerging evidence links oral conditions like gingivitis and periodontitis with systemic diseases such as psoriasis. Elevated levels of inflammatory cytokines (IL-1β, TNF-α, TGF-β, MCP-1) in saliva from psoriatic patients underscore the potential for saliva as a non-invasive medium for monitoring inflammatory processes in psoriasis and related co-morbidities.

Conclusion

Salivaomics represents a burgeoning field with the potential to revolutionize diagnostic medicine. By leveraging the comprehensive information provided by the salivary genome, transcriptome, proteome, metabolome, and microbiome analyses, researchers are uncovering new biomarkers for a range of oral and systemic diseases. As technology advances and research progresses, saliva could become a cornerstone of non-invasive diagnostic testing, offering early detection and personalized treatment options for patients worldwide.

References

  1. Martina E.; et al. Saliva and oral diseases. Journal of Clinical Medicine. 2020, 9 (2): 466.
  2. Kaczor‐Urbanowicz K. E.; et al. Emerging technologies for salivaomics in cancer detection. Journal of Cellular and Molecular Medicine. 2017, 21 (4): 640-647.
  3. Talungchit S.; et al. Putative salivary protein biomarkers for the diagnosis of oral lichen planus: a case-control study. BMC Oral Health. 2018, 18: 1-14.
  4. Javaid M. A.; et al. Saliva as a diagnostic tool for oral and systemic diseases. Journal of Oral Biology and Craniofacial Research. 2016, 6 (1): 67-76.
  5. Beale D. J.; et al. A review of analytical techniques and their application in disease diagnosis in breathomics and salivaomics research. International Journal of Molecular Sciences. 2016, 18 (1): 24.
For research use only. Not intended for any clinical use.
Contact Info
Copyright © Alta Stomatology. All Rights Reserved.
Top