Abstract
Advances in metabolomics have allowed the identification and characterization of saliva metabolites that can be used as biomarkers. However, discrepancies can be noted with the content of the same biomarker being increased or decreased for a given disease. Differences in the way saliva is collected, stored, and/or treated could cause these discrepancies. Indeed, there is no standardized method for saliva sampling and analysis. In this work, two chromatographic modes were used, i.e., RP-LC and HILIC both coupled to MS used in positive and negative ionization modes. The analytical conditions were optimized with a mixture of 90 compounds naturally present in saliva, representative of the wide range of molecular mass and polarity of salivary metabolites and being described as having a differential expression in various pathologies. These four methods were applied to the analysis of saliva samples collected by spitting, aspiration, or Salivette® with or without prior rinsing of the mouth. Rinsing had an effect on some metabolite concentrations. As it can induce an additional parameter of variability to the sampling, it seems therefore preferable to use methods without rinsing while effects of these parameters on the metabolites are investigated. Saliva obtained by spitting and aspiration gave statistically equivalent results for 84% of the metabolites studied. Conversely, Salivette® gave different results since the majority of the metabolites chosen for the study were not quantified in the samples. The Salivette® does not seem therefore to be a suitable sampling method for an untargeted analysis of the salivary metabolome, unlike aspiration and spitting.
Similar content being viewed by others
References
Humphrey SP, Williamson RT. A review of saliva: normal composition, flow, and function. J Prosthet Dent. 2001;85:162–9. https://doi.org/10.1067/mpr.2001.113778.
Yoshizawa JM, Schafer CA, Schafer JJ, Farrell JJ, Paster BJ, Wong DTW. Salivary biomarkers: toward future clinical and diagnostic utilities. Clin Microbiol Rev. 2013;26:781–91. https://doi.org/10.1128/CMR.00021-13.
Cuevas-Córdoba B, Santiago-García J. Saliva: a fluid of study for OMICS. Omics J Integr Biol. 2014;18:87–97. https://doi.org/10.1089/omi.2013.0064.
Roblegg E, Coughran A, Sirjani D. Saliva: an all-rounder of our body. Eur J Pharm Biopharm. 2019;142:133–41. https://doi.org/10.1016/j.ejpb.2019.06.016.
Justino AB, Teixeira RR, Peixoto LG, Jaramillo OLB, Espindola FS. Effect of saliva collection methods and oral hygiene on salivary biomarkers. Scand J Clin Lab Invest. 2017;77:415–22. https://doi.org/10.1080/00365513.2017.1334261.
Zhang A, Sun H, Wang X. Saliva metabolomics opens door to biomarker discovery, disease diagnosis, and treatment. Appl Biochem Biotechnol. 2012;168:1718–27. https://doi.org/10.1007/s12010-012-9891-5.
Khurshid Z, Zohaib S, Najeeb S, Zafar MS, Slowey PD, Almas K. Human saliva collection devices for proteomics: an update. Int J Mol Sci. 2016;17:846. https://doi.org/10.3390/ijms17060846.
Soares Nunes LA, Mussavira S, Sukumaran Bindhu O. Clinical and diagnostic utility of saliva as a non-invasive diagnostic fluid: a systematic review. Biochem Medica. 2015;25:177–92. https://doi.org/10.11613/BM.2015.018.
Gardner A, Carpenter G, So P-W. Salivary metabolomics: from diagnostic biomarker discovery to investigating biological function. Metabolites. 2020;10:47. https://doi.org/10.3390/metabo10020047.
Kageyama G, Saegusa J, Irino Y, Tanaka S, Tsuda K, Takahashi S, Sendo S, Morinobu A. Metabolomics analysis of saliva from patients with primary Sjögren’s syndrome: salivary metabolomics among Sjögren’s syndrome. Clin Exp Immunol. 2015;182:149–53. https://doi.org/10.1111/cei.12683.
Mikkonen JJ, Herrala M, Soininen R, Lappalainen R, Tjäderhane L, Seitsalo H, Niemelä R, Salo T, Kullaa AM, Myllymaa S. Metabolic profiling of saliva in patients with primary Sjögren’s syndrome. Metabolomics. 2013;3:7.
Zappacosta B, Persichilli S, De Sole P, Mordente A, Giardina B. Effect of smoking one cigarette on antioxidant metabolites in the saliva of healthy smokers. Arch Oral Biol. 1999;44:485–8. https://doi.org/10.1016/S0003-9969(99)00025-4.
Zappacosta B, Manni A, Persichilli S, Scribano D, Minucci A, Lazzaro D, De Sole P, Giardina B. HPLC analysis of some sulphur compounds in saliva: comparison between healthy subjects and periodontopathic patients. Clin Chim Acta. 2003;338:57–60. https://doi.org/10.1016/j.cccn.2003.07.019.
Kochańska B, Smoleński RT, Knap N. Determination of adenine nucleotides and their metabolites in human saliva. Acta Biochim Pol. 2000;47:877–9.
Rai B, Kharb S, Jain R, Anand SC. Salivary vitamins E and C in oral cancer. Redox Rep Commun Free Radic Res. 2007;12:163–4. https://doi.org/10.1179/135100007X200245.
Álvarez-Sánchez B, Priego-Capote F, Luque de Castro MD. Study of sample preparation for metabolomic profiling of human saliva by liquid chromatography-time of flight/mass spectrometry. J Chromatogr A. 2012;1248:178–81. https://doi.org/10.1016/j.chroma.2012.05.029.
Dame ZT, Aziat F, Mandal R, Krishnamurthy R, Bouatra S, Borzouie S, Guo AC, Sajed T, Deng L, Lin H, Liu P, Dong E, Wishart DS. The human saliva metabolome. Metabolomics. 2015;11:1864–83. https://doi.org/10.1007/s11306-015-0840-5.
Figueira J, Gouveia-Figueira S, Öhman C, Lif Holgerson P, Nording ML, Öhman A. Metabolite quantification by NMR and LC-MS/MS reveals differences between unstimulated, stimulated, and pure parotid saliva. J Pharm Biomed Anal. 2017;140:295–300. https://doi.org/10.1016/j.jpba.2017.03.037.
Silva MJ, Reidy JA, Samandar E, Herbert AR, Needham LL, Calafat AM. Detection of phthalate metabolites in human saliva. Arch Toxicol. 2005;79:647–52. https://doi.org/10.1007/s00204-005-0674-4.
Wei J, Xie G, Zhou Z, Shi P, Qiu Y, Zheng X, Chen T, Su M, Zhao A, Jia W. Salivary metabolite signatures of oral cancer and leukoplakia. Int J Cancer. 2011;129:2207–17. https://doi.org/10.1002/ijc.25881.
Xavier Assad D, Acevedo AC, Cançado Porto Mascarenhas E, Costa Normando AG, Pichon V, Chardin H, Neves Silva Guerra E, Combes A. Using an untargeted metabolomics approach to identify salivary metabolites in women with breast cancer. Metabolites. 2020;10:506. https://doi.org/10.3390/metabo10120506.
Murata T, Yanagisawa T, Kurihara T, Kaneko M, Ota S, Enomoto A, Tomita M, Sugimoto M, Sunamura M, Hayashida T, Kitagawa Y, Jinno H. Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination. Breast Cancer Res Treat. 2019;177:591–601. https://doi.org/10.1007/s10549-019-05330-9.
Finlay EMH, Morton MS, Gaskell SJ. Identification and quantification of dehydroepiandrosterone sulphate in saliva. Steroids. 1982;39:63–71. https://doi.org/10.1016/0039-128X(82)90126-X.
Kulkarni B, Wood K, Mattes R. Quantitative and qualitative analyses of human salivary NEFA with gas-chromatography and mass spectrometry. Front Physiol. 2012;3:328. https://doi.org/10.3389/fphys.2012.00328.
Gaskell SJ, Pike AW, Griffiths K. Analysis of testosterone and dehydroepiandrosterone in saliva by gas chromatography-mass spectrometry. Steroids. 1980;36:219–28. https://doi.org/10.1016/0039-128X(80)90020-3.
Figueira J, Jonsson P, Nordin Adolfsson A, Adolfsson R, Nyberg L, Öhman A. NMR analysis of the human saliva metabolome distinguishes dementia patients from matched controls. Mol Biosyst. 2016;12:2562–71. https://doi.org/10.1039/c6mb00233a.
Takeda I, Stretch C, Barnaby P, Bhatnager K, Rankin K, Fu H, Weljie A, Jha N, Slupsky C. Understanding the human salivary metabolome. NMR Biomed. 2009;22:577–84. https://doi.org/10.1002/nbm.1369.
Herrala M, Mikkonen JJW, Pesonen P, Lappalainen R, Tjäderhane L, Niemelä RK, Seitsalo H, Salo T, Myllymaa S, Kullaa AM. Variability of salivary metabolite levels in patients with Sjögren’s syndrome. J Oral Sci. 2021;63:22–6. https://doi.org/10.2334/josnusd.19-0504.
Kumari S, Goyal V, Kumaran SS, Dwivedi SN, Srivastava A, Jagannathan NR. Quantitative metabolomics of saliva using proton NMR spectroscopy in patients with Parkinson’s disease and healthy controls. Neurol Sci. 2020;41:1201–10. https://doi.org/10.1007/s10072-019-04143-4.
Sugimoto M, Saruta J, Matsuki C, To M, Onuma H, Kaneko M, Soga T, Tomita M, Tsukinoki K. Physiological and environmental parameters associated with mass spectrometry-based salivary metabolomic profiles. Metabolomics. 2013;9:454–63. https://doi.org/10.1007/s11306-012-0464-y.
Sugimoto M, Wong DT, Hirayama A, Soga T, Tomita M. Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles. Metabolomics Off J Metabolomic Soc. 2010;6:78–95. https://doi.org/10.1007/s11306-009-0178-y.
Tsuruoka M, Hara J, Hirayama A, Sugimoto M, Soga T, Shankle WR, Tomita M. Capillary electrophoresis-mass spectrometry-based metabolome analysis of serum and saliva from neurodegenerative dementia patients. Electrophoresis. 2013;34:2865–72. https://doi.org/10.1002/elps.201300019.
Wang Q, Gao P, Wang X, Duan Y. Investigation and identification of potential biomarkers in human saliva for the early diagnosis of oral squamous cell carcinoma. Clin Chim Acta. 2014;427:79–85. https://doi.org/10.1016/j.cca.2013.10.004.
Navazesh M. Methods for collecting saliva. Ann N Y Acad Sci. 1993;694:72–7. https://doi.org/10.1111/j.1749-6632.1993.tb18343.x.
Chen Z, Feng S, Pow EHN, Lam OLT, Mai S, Wang H. Organic anion composition of human whole saliva as determined by ion chromatography. Clin Chim Acta Int J Clin Chem. 2015;438:231–5. https://doi.org/10.1016/j.cca.2014.08.027.
Garde AH, Hansen AM. Long-term stability of salivary cortisol. Scand J Clin Lab Invest. 2005;65:433–6. https://doi.org/10.1080/00365510510025773.
Toda M, Morimoto K. Comparison of saliva sampling methods for measurement of salivary adiponectin levels. Scand J Clin Lab Invest. 2008;68:823–5. https://doi.org/10.1080/00365510802147006.
Kozaki T, Lee S, Nishimura T, Katsuura T, Yasukouchi A. Effects of saliva collection using cotton swabs on melatonin enzyme immunoassay. J Circadian Rhythms. 2011;9:1. https://doi.org/10.1186/1740-3391-9-1.
Piaton E, Fabre M, Goubin-Versini I, Bretz-Grenier M-F, Courtade-Saïdi M, Vincent S, Belleannée G, Thivolet F, Boutonnat J, Debaque H, Fleury-Feith J, Vielh P, Egelé C, Bellocq J-P, Michiels J-F, Cochand-Priollet B. Guidelines for May-Grünwald–Giemsa staining in haematology and non-gynaecological cytopathology: recommendations of the French Society of Clinical Cytology (SFCC) and of the French Association for Quality Assurance in Anatomic and Cytologic Pathology (AFAQAP). Cytopathology. 2016;27:359–68. https://doi.org/10.1111/cyt.12323.
Vranić L, Granić P, Rajić Z. Basic amino acid in the pathogenesis of caries. Acta Stomatol Croat. 1991;25:71–6.
Laine M, Porola P, Udby L, Kjeldsen L, Cowland JB, Borregaard N, Hietanen J, Ståhle M, Pihakari A, Konttinen YT. Low salivary dehydroepiandrosterone and androgen-regulated cysteine-rich secretory protein 3 levels in Sjögren’s syndrome. Arthritis Rheum. 2007;56:2575–84. https://doi.org/10.1002/art.22828.
Tanaka S, Machino M, Akita S, Yokote Y, Sakagami H. Changes in salivary amino acid composition during aging. In Vivo. 2010;24:853–6.
Park Y-D, Jang J-H, Oh Y-J, Kwon H-J. Analyses of organic acids and inorganic anions and their relationship in human saliva before and after glucose intake. Arch Oral Biol. 2014;59:1–11. https://doi.org/10.1016/j.archoralbio.2013.10.006.
Acknowledgements
We thank Drs Marion Florimond (URP 2496, UFR Odontologie, Université Paris Cité) and Dominique Hotton (UMRS 1138, INSERM Centre des Cordeliers) for their advice in sample staining and light microscopy.
Funding
This work was supported by the “Plateforme d’expertise pour le suivi de toxines à l’état de traces en milieu reel” project from DIM analytics from the Ile de France region.
Author information
Authors and Affiliations
Contributions
Conceptualization: V. Pichon, A. Combes, H. Chardin. Formal analysis and investigation: P. Bosman, A. Combes. Writing—original draft preparation: P. Bosman. Writing—review and editing: V. Pichon, A. Combes, H. Chardin, A. C. Acevedo. Funding acquisition: V. Pichon. All authors have read and agreed to the published version of the manuscript.
Corresponding author
Ethics declarations
Consent to participate
This study on human saliva samples have been performed in accordance with the ethical standards of the French General Health Directorate. And the participant gave informed consent for participation.
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bosman, P., Pichon, V., Acevedo, A.C. et al. Development of analytical methods to study the salivary metabolome: impact of the sampling. Anal Bioanal Chem 414, 6899–6909 (2022). https://doi.org/10.1007/s00216-022-04255-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00216-022-04255-5