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Hyvärinen, E.; Kashyap, B.; Kullaa, A.M. Oral Sources of Salivary Metabolites. Encyclopedia. Available online: https://encyclopedia.pub/entry/43588 (accessed on 21 December 2025).
Hyvärinen E, Kashyap B, Kullaa AM. Oral Sources of Salivary Metabolites. Encyclopedia. Available at: https://encyclopedia.pub/entry/43588. Accessed December 21, 2025.
Hyvärinen, Eelis, Bina Kashyap, Arja M. Kullaa. "Oral Sources of Salivary Metabolites" Encyclopedia, https://encyclopedia.pub/entry/43588 (accessed December 21, 2025).
Hyvärinen, E., Kashyap, B., & Kullaa, A.M. (2023, April 27). Oral Sources of Salivary Metabolites. In Encyclopedia. https://encyclopedia.pub/entry/43588
Hyvärinen, Eelis, et al. "Oral Sources of Salivary Metabolites." Encyclopedia. Web. 27 April, 2023.
Oral Sources of Salivary Metabolites
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The oral cavity is very diverse, where saliva plays an important role in maintaining oral health. The metabolism of saliva has been used to investigate oral diseases as well as general diseases, mainly to detect diagnostic biomarkers. 

saliva gingival crevicular fluid metabolites oral disease inflammation oral microbiota

1. Introduction

The metabolic analysis of human biofluids, including saliva, has progressed rapidly over the past decade evolving to obtain new biological information about different diseases and salivary biomarkers in diagnostics. Analysis of salivary metabolites has already become a common task in saliva research due to continuous development in analytical techniques, so that low-molecular metabolites are easily accessible in different biofluids, including saliva. Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are the most commonly used methods for the study of salivary metabolites [1]. Other less used methods in saliva research include Fourier-transform infrared (FTIR), photoacoustic spectroscopy, and Raman spectroscopies [2]. These new methods allow the same metabolites to be found in the saliva as in the blood, even though they are lesser quantitatively in the saliva.
Whole-mouth (WMS) saliva is the most-used biofluid in the salivary metabolic analyses. The collection of saliva samples has many advantages because it is non-invasive, painless, and safe without piercing the skin. Saliva is easy to collect without complex equipment and does not require special expertise. Furthermore, the storage of saliva samples is simple and cheap. Saliva contains both endogenous and exogenous metabolites, which can tell us about biological pathways in the oral cavity. However, their role as biomarkers in the diagnostics of oral and systemic diseases is also investigated as reviewed by Hyvärinen et al. [3]. Saliva allows measuring the levels of metabolites, including nucleic acids, lipids, amino acids, peptides, vitamins, organic acids, thiols, and carbohydrates, representing a useful tool for the detection of biomarkers for various oral diseases and monitoring disease progression. Salivary metabolites are involved in a variety of cellular functions, such as direct regulation of gene expression and they function as the effectors of molecular events that contribute to disease [4]. A minor part role for salivary metabolites could be as a potential source of systemic biomarkers, however, the main sources of salivary metabolites are productions of oral metabolic pathways, especially produced by micro-organisms [5][6].
The oral cavity is a complicated organ with different niches for the colonization of millions of micro-organisms including bacteria, fungi, viruses, protozoa, and archaea [7][8]. Saliva represents a major role in the maintenance of oral homeostasis with its multifactorial defence system and lubrication of different oral surfaces [9]. Oral inflammatory diseases and oral micro-organisms contribute to the salivary metabolic fingerprint [5]. It is suggested that due to the high degree of connectivity in cellular metabolism, any disease will carry a metabolic signature that can be identified through the analysis of the metabolome in saliva and other tissue fluids. Furthermore, the multifunctional defence components of the saliva come from blood or serum via salivary glands, from gingival-crevicular fluid (GCF) and from epithelial cells.

2. Sources of Salivary Metabolites in Healthy Subjects

Saliva is an oral fluid secreted by the major and minor salivary glands. After entering the oral cavity, it is referred to as mixed or whole saliva, supplemented with many constituents originating from blood, mucosal cells, immune cells, and microorganisms [9]. Whole saliva represents the complex mixture of a variety of molecules and hence, it is valuable to use in research. The composition of saliva and oral microbiota differ in healthy subjects most likely due to age, gender, habits, diet, oral hygiene, medication, and different oral niches (prothesis, tooth fillings, tongue disorders, sebaceous glands = Fordyce granules) (Figure 1).
Figure 1. Summary of oral metabolite sources that may take part in salivary metabolic fingerprint in healthy subjects. Saliva is secreted by salivary glands in salivon with acinar and ductal cells. Metabolites are obtained also from oral mucosal cells (AD) and gingival crevicular fluid (F). Most of salivary metabolites are produced by oral micro-organisms (E). Sebaceous glands referred as Fordyce granules (arrow) are located in the buccal mucosa (G). Dentition and dentures (H) form different niches for attaching of micro-organisms. Oral hygiene, diet, and habits, including smoking and alcohol consumption, differ salivary metabolite profile (I).
The oral microbiome is a set of diverse micro-organisms that inhabit different niches of the oral cavity. They, together with salivary defence, play a key role in the oral balance between health and diseases. Oral microbes communicate with oral epithelial cells via Toll-like receptors (TLRs) which plays a key role in the oral immune system producing inflammatory cytokines. Studies using scanning electron microscopy (SEM; Figure 1B) showed no or very few micro-organisms on the buccal mucosal surface. Instead, most of the mucosal microorganisms are located on the dorsal tongue surface (Figure 1C), especially on the surface of rough hyphae of filiform papillae (Figure 1D).
GCF is another oral fluid and an inflammatory exudate derived from the blood vessels of gingival plexus, adjacent to the gingival epithelium. The bacterial degradation product in the GCF promotes the binding of calculus formation subgingivally [10]. GCF provides ease in collection and sampling of multiple sites of the oral cavity simultaneously due to its close interaction with periodontal cells and bacterial biofilm.
Fordyce granules (FG) are tubule-acinar sebaceous glands (Figure 1G), most often located in the lip and buccal mucosa and are more common in males. The ductus of FG opens into the oral cavity and a lipase-containing secretion is possibly passed into saliva. However, their significance in the salivary metabolic profile is likely to be limited.
Dentures present different niches for the colonization of micro-organisms (Figure 1H). Candidiasis without any symptoms is a quite common oral disorder in denture wearers. This also indicates dysbiosis of oral microbiota that further changes the salivary metabolic profile in denture-wearing patients. Furthermore, the denture can be colonized by respiratory pathogens, which can even be a risk of respiratory infection [11]. Individuals with appliances for orthodontic treatment are advised for practice proper oral hygiene. Failure in such practices results in plaque and calculus deposition superimposed with the bacterial degradation product causing gingival and periodontal inflammation. This further raises the possibility of change in salivary metabolite.

3. Salivary Metabolites in Patients with Oral Inflammation

The oral cavity contains a complex array of diverse microorganism that is tightly controlled by their host via metabolic machinery, substrate-specific or salivary secretory products. A mutually beneficial equilibrium exists between the host and oral microbiota until it is disturbed by some external factors [12]. Several oral disorders, including caries, gingivitis, periodontitis, and oral ulcerations, relate to oral microbiota dysbiosis wherein generation of metabolites can result in inflammation-mediated tissue destruction (Table 1).
Table 1. Salivary metabolites associated with most common oral inflammatory diseases, caries and periodontitis, based on NMR spectroscopic studies.
* N = total number of subjects; HC = healthy controls; D = diseased; NM = not mentioned; WS = whole saliva; USWS = unstimulated whole saliva; SWS = stimulated whole saliva; GABA = γ-aminoglutamate.
Caries and periodontitis are the most common oral inflammatory diseases in humans globally. Caries is more common in children and older people while periodontitis is the most common oral disease in the middle-aged population. Therefore, the age of individuals participating in a study may affect the metabolic profile. For example, in a comparative study of caries-related metabolites, a difference was found between adults’ and children’s salivary metabolites [21][22].
Both caries and periodontitis are induced by bacterial dysbiosis in the oral cavity. Dental caries results in an imbalance in the microbiota. Most of the microorganisms associated with tooth decay acquire a selective advantage over other species by changing the homeostatic balance of the salivary biofilm. The main source of carbohydrates for caries-causing micro-organisms is consumed food. These carbohydrates usually leave the mouth within about an hour due to saliva’s lubrication effect of the saliva. Of course, this washout is affected by the saliva secretion rate, which means that hyposalivation in patients does not wash their mouth out in the same way as in subjects with normal salivary flow rate [23]. Microorganisms in the oral biofilm can metabolise dietary carbohydrates to produce organic acids, which will decrease pH and initiate the demineralisation of dental hard tissues, developing caries [24]. High levels of free amino acids have been linked to increased protein hydrolysis activity by oral bacteria. High proline and glycine levels are the possible result of the hydrolysis of dentin-collagen in caries active individuals [25]. The high level of lipids on the salivary pellicle of tooth surfaces can inhibit the acid diffusion and accelerates to caries development [26]. Salivary metabolites produced by bacterial metabolism, including lactate, acetate and n-butyrate have been shown in patient with caries. These metabolites can reduce the pH and increase the porosity of the dental plaque matrix [27].
Periodontopathogenic bacteria contribute to periodontal diseases. The oral microbes release salivary metabolites as a product of multifactorial interactions between host, oral bacteria, and altered cellular metabolism of the host. The change in the metabolite concentration is correlated with the products of the pathogenic bacterial population. The change in the sub-gingival environment with regard to oxygen tension, redox potential, pH, and availability of host-derived macromolecules has been shown previously. Such changes are responsible in a cause-and-effect way for modulation of the bacterial composition [14] (Figure 2). Gingival crevicular fluid (GCF) whose composition is close to that of serum, flows into the oral cavity from periodontal pockets and varies in gingival inflammation [28]. Some anaerobic periodontal bacteria can produce very short chain fatty acid (SCFAs) metabolites that are released from infection sites into the microenvironment. This can further contribute to the periodontal pathogenesis further through impairment of immune cells or fibroblasts and the epithelial cell functions [29]. SCFAs, the end-products of bacterial metabolism such as butyrate, caproate, isocaproate, propionate, isovalerate and lactate have been linked to deep periodontal pockets, loss of insertion, bleeding, and inflammation. These metabolites are significantly decreased following periodontal treatment and gradually increases over time, which makes them possible indicators of periodontal disease development and progression [16].
Figure 2. Aphthous ulcer presents erythematous halo surrounding round yellowish ulcer (A). Caries (B) is one of the most common individual illnesses. Leukoplakia of the buccal mucosa (C) can colonize more micro-organisms than the healthy mucosa (studied with SEM). Dental plaque and bleeding of the gingiva (D) are source of different metabolites in the whole mouth saliva. Oral tumors (E) and their small vesicles (arrow) produce metabolites, which can be used in diagnostics. Pharyngitis in tonsils (F) must also remember in saliva studies. Changes of the dorsal tongue surface, including hairy tongue (G) and atrophic tongue without hairs of filiform papillae (H) affect the biofilm of the oral cavity. Parodontitis (I) cause deep pockets around the teeth with many anaerobic bacteria altering the oral microbiome.
In recent years, the relationship of periodontitis relationship with systemic diseases as cardiovascular diseases, diabetes mellitus, and problems during pregnancy, rheumatoid arthritis, chronic obstructive pulmonary disease, pneumonia, obesity, chronic kidney disease, metabolic syndrome and cancer has been amply demonstrated [30]. Several mechanisms have been proposed, including the transient bacteramia resulting in bacterial colonisation in extra-oral sites, systemic injury by release of free toxins and systemic inflammation triggered by soluble antigens of oral pathogens [31]. However, controversy exists between different studies due to the heterogeneity in the definitions and identification of periodontitis.

4. Salivary Metabolomics in Oral Mucosal Diseases and Oral Cancer

In the oral cavity, there are many kinds of tissue and it forms a very complex milieu. There are also many diseases in the mouth, of which only the most important are presented.
Oral ulcerations are the most common oral mucosal lesions. Recurrent aphthous stomatitis (RAS) is an inflammatory disorder, which is characterised by recurring and painful ulcers on the surface of the oral mucosa (Figure 2A). Typically, aphthous ulcers occur in adolescents and young adults, with the majority of patients affected being under 30 years of age and seldom in adults older than 40 years [32]. Ulcerations associated with aphthous stomatitis (RAU) are thought to represent a dysfunction on the oral immune system [33][34] Several studies have reported different etiology factors for RAU including the presence of certain oral microbial communities, immunological factors, endocrinopathies, and psychological and hereditary factors [35]. The difference in the oxidant/antioxidant status in the blood and saliva of patients with and without RAU has been previously described [36]. Only one study has been conducted with changes in the metabolite related to aphthous stomatitis [37]. An imbalance of the tryptophan metabolism and steroid hormone biosynthesis have been shown to be correlated with increased incidence of oral ulcers [37]. Salivary metabolites have been shown to increase in serotonin, which influences psychological factors including depression and stress in patients with aphthous ulcers.

References

  1. Mikkonen, J.J.; Singh, S.P.; Herrala, M.; Lappalainen, R.; Myllymaa, S.; Kullaa, A.M. Salivary metabolomics in the diagnosis of oral cancer and periodontal diseases. J. Periodontal Res. 2016, 51, 431–437.
  2. Mikkonen, J.J.; Raittila, J.; Rieppo, L.; Lappalainen, R.; Kullaa, A.M.; Myllymaa, S. Fourier Transform Infrared Spectroscopy and Photoacoustic Spectroscopy for Saliva Analysis. Appl. Spectrosc. 2016, 70, 1502–1510.
  3. Hyvärinen, E.; Savolainen, M.; Mikkonen, J.J.W.; Kullaa, A.M. Salivary Metabolomics for Diagnosis and Monitoring Diseases: Challenges and Possibilities. Metabolites 2021, 11, 587.
  4. Nielsen, J. Systems Biology of Metabolism. Annu. Rev. Biochem. 2017, 86, 245–275.
  5. Gardner, A.; Parkes, H.G.; Carpenter, G.H.; So, P.W. Developing and standardizing a protocol for quantitative proton nuclear magnetic resonance (1H NMR) spectroscopy of saliva. J. Proteome Res. 2018, 17, 1521–1531.
  6. Gardner, A.; Parkes, H.G.; So, P.W.; Carpenter, G.H. Determining bacterial and host contributions to the human salivary metabolome. J. Oral Microbiol. 2019, 11, 1617014.
  7. Sampaio-Maia, B.; Caldas, I.M.; Pereira, M.L.; Pérez-Mongiovi, D.; Araujo, R. The Oral Microbiome in Health and Its Implication in Oral and Systemic Diseases. Adv. Appl. Microbiol. 2016, 97, 171–210.
  8. Mosaddad, S.A.; Tahmasebi, E.; Yazdanian, A.; Rezvani, M.B.; Seifalian, A.; Yazdanian, M.; Tebyanian, H. Oral microbial biofilms: An update. Eur. J. Clin. Microbiol. Infect. Dis. 2019, 38, 2005–2019.
  9. Fábián, T.K.; Hermann, P.; Beck, A.; Fejérdy, P.; Fábián, G. Salivary defense proteins: Their network and role in innate and acquired oral immunity. Int. J. Mol. Sci. 2012, 13, 4295–4320.
  10. Barros, S.P.; Williams, R.; Offenbacher, S.; Morelli, T. Gingival crevicular fluid as a source of biomarkers for periodontitis. Periodontol 2000 2016, 70, 53–64.
  11. O’Donnell, L.E.; Smith, K.; Williams, C.; Nile, C.J.; Lappin, D.F.; Bradshaw, D.; Lambert, M.; Robertson, D.P.; Bagg, J.; Hannah, V.; et al. Dentures are a Reservoir for Respiratory Pathogens. J. Prosthodont. 2016, 25, 99–104.
  12. Tuganbaev, T.; Yoshida, K.; Honda, K. The effects of oral microbiota on health. Science 2022, 376, 934–936.
  13. Aimetti, M.; Cacciatore, S.; Graziano, A.; Tenori, L. Metabonomic analysis of saliva reveals generalized chronic periodontitis signature. Metabolomics 2012, 8, 465–474.
  14. Rzeznik, M.; Triba, M.N.; Levy, P.; Jungo, S.; Botosoa, E.; Duchemann, B.; Le Moyec, L.; Bernaudin, J.F.; Savarin, P.; Guez, D. Identification of a discriminative metabolomic fingerprint of potential clinical relevance in saliva of patients with periodontitis using 1H nuclear magnetic resonance (NMR) spectroscopy. PLoS ONE 2017, 12, e0182767.
  15. Romano, F.; Meoni, G.; Manavella, V.; Baima, G.; Tenori, L.; Cacciatore, S.; Aimetti, M. Analysis of salivary phenotypes of generalized aggressive and chronic periodontitis through nuclear magnetic resonance-based metabolomics. J. Periodontol. 2018, 89, 1452–1460.
  16. García-Villaescusa, A.; Morales-Tatay, J.M.; Monleón-Salvadó, D.; González-Darder, J.M.; Bellot-Arcis, C.; Montiel-Company, J.M.; Almerich-Silla, J.M. Using NMR in saliva to identify possible biomarkers of glioblastoma and chronic periodontitis. PLoS ONE 2018, 13, e0188710.
  17. Singh, M.P.; Saxena, M.; Saimbi, C.S.; Siddiqui, M.H.; Roy, R. Post-periodontal surgery propounds early repair salivary biomarkers by 1 H NMR based metabolomics. Metabolomics 2019, 15, 141.
  18. Gawron, K.; Wojtowicz, W.; Łazarz-Bartyzel, K.; Łamasz, A.; Qasem, B.; Mydel, P.; Chomyszyn-Gajewska, M.; Potempa, J.; Mlynarz, P. Metabolomic status of the oral cavity in chronic periodontitis. In Vivo 2019, 33, 1165–1174.
  19. Citterio, F.; Romano, F.; Meoni, G.; Iaderosa, G.; Grossi, S.; Sobrero, A.; Dego, F.; Corana, M.; Berta, C.N.; Tenori, L.; et al. Changes in the salivary metabolic profile of generalized periodontitis patients after non-surgical periodontal therapy: A metabolomic analysis using nuclear magnetic resonance spectroscopy. J. Clin. Med. 2020, 9, 3977.
  20. Kim, S.; Kim, H.J.; Song, Y.; Lee, H.A.; Kim, S.; Chung, J. Metabolic phenotyping of saliva to identify possible biomarkers of periodontitis using proton nuclear magnetic resonance. J. Clin. Periodontol. 2021, 48, 1240–1249.
  21. Fidalgo, T.K.S.; Freitas-Fernandes, L.B.; Angeli, R.; Muniz, A.M.S.; Gonsalves, E.; Santos, R.; Nadal, J.; Almeida, F.C.L.; Valente, A.P.; Souza, I.P.R. Salivary metabolite signatures of children with and without dental caries lesions. Metabolomics 2013, 9, 657–666.
  22. Pereira, J.L.; Duarte, D.; Carneiro, T.J.; Ferreira, S.; Cunha, B.; Soares, D.; Costa, A.L.; Gil, A.M. Saliva NMR metabolomics: Analytical issues in pediatric oral health research. Oral Dis. 2019, 25, 1545–1554.
  23. Jakubovics, N.S. Saliva as the Sole Nutritional Source in the Development of Multispecies Communities in Dental Plaque. Microbiol. Spectr. 2015, 3, 263–277.
  24. Marsh, P.D. Microbial Ecology of Dental Plaque and its Significance in Health and Disease. Adv. Dent. Res. 1994, 8, 263–271.
  25. Schulz, A.; Lang, R.; Behr, J.; Hertel, S.; Reich, M.; Kümmerer, K.; Hannig, M.; Hannig, C.; Hofmann, T. Targeted metabolomics of pellicle and saliva in children with different caries activity. Sci. Rep. 2020, 10, 697.
  26. Tomita, Y.; Miyake, N.; Yamanaka, S. Lipids in human parotid saliva with regard to caries experience. J. Oleo. Sci. 2008, 57, 115–121.
  27. Van Houte, J. Role of micro-organisms in caries etiology. J. Dent. Res. 1994, 73, 672–681.
  28. Estreicher, A.; Broggiato, A.; Duroux, P.; Andersen, E.; Cimasoni, G. Low molecular-weight proteins in human gingival crevicular fluid. Arch. Oral Biol. 1996, 41, 733–738.
  29. Niederman, R.; Zhang, J.; Kashket, S. Short-chain carboxylic-acid-stimulated, PMN-mediated gingival inflammation. Crit. Rev. Oral Biol. Med. 1997, 8, 269–290.
  30. Linden, G.J.; Lyons, A.; Scannapieco, F.A. Periodontal systemic associations: Review of the evidence. J. Periodontol. 2013, 84, S8–S19.
  31. Han, Y.W.; Wang, X. Mobile microbiome: Oral bacteria in extra-oral infections and inflammation. J. Dent. Res. 2013, 92, 485–491.
  32. Cui, R.Z.; Bruce, A.J.; Rogers, R.S., 3rd. Recurrent aphthous stomatitis. Clin. Dermatol. 2016, 34, 475–481.
  33. Akintoye, S.O.; Greenberg, M.S. Recurrent aphthous stomatitis. Dent. Clin. N. Am. 2014, 58, 281–297.
  34. Pärssinen, M.; Jäsberg, H.; Mikkonen, J.J.W.; Kullaa, A.M. Oral mucosal pellicle as an immune protection against micro-organisms in patients with recurrent aphthous stomatitis: A hypothesis. Med. Hypotheses 2021, 146, 110449.
  35. Slebioda, Z.; Szponar, E.; Kowalska, A. Etiopathogenesis of recurrent aphthous stomatitis and the role of immunologic aspects: Literature review. Arch. Immunol. Ther. Exp. 2014, 62, 205–215.
  36. Babaee, N.; Hosseinkazemi, H.; Pouramir, M.; Baboli, O.K.; Salehi, M.; Khadir, F.; Bijani, A.; Mehryari, M. Salivary oxidant/ antioxidant status and hematological parameters in patients with recurrent aphthous stomatitis. Caspian. J. Intern. Med. 2016, 7, 13–18.
  37. Li, Y.; Wang, D.; Zeng, C.; Liu, Y.; Huang, G.; Mei, Z. Salivary metabolomics profile of patients with recurrent aphthous ulcer as revealed by liquid chromatography-tandem mass spectrometry. J. Int. Med. Res. 2018, 46, 1052–1062.
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