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Review | Open Access

Promising applications of human-derived saliva biomarker testing in clinical diagnostics

Mengyuan Song1, Hao Bai1, Ping Zhang2 , Xuedong Zhou2, Binwu Ying1( )
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
State Key Laboratory of Oral Diseases & Human Saliva Laboratory & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu, China

These authors contributed equally: Mengyuan Song, Hao Bai.

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Abstract

Saliva testing is a vital method for clinical applications, for its noninvasive features, richness in substances, and the huge amount. Due to its direct anatomical connection with oral, digestive, and endocrine systems, clinical usage of saliva testing for these diseases is promising. Furthermore, for other diseases that seeming to have no correlations with saliva, such as neurodegenerative diseases and psychological diseases, researchers also reckon saliva informative. Tremendous papers are being produced in this field. Updated summaries of recent literature give newcomers a shortcut to have a grasp of this topic. Here, we focused on recent research about saliva biomarkers that are derived from humans, not from other organisms. The review mostly addresses the proceedings from 2016 to 2022, to shed light on the promising usage of saliva testing in clinical diagnostics. We recap the recent advances following the category of different types of biomarkers, such as intracellular DNA, RNA, proteins and intercellular exosomes, cell-free DNA, to give a comprehensive impression of saliva biomarker testing.

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International Journal of Oral Science
Article number: 2

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Cite this article:
Song M, Bai H, Zhang P, et al. Promising applications of human-derived saliva biomarker testing in clinical diagnostics. International Journal of Oral Science, 2023, 15: 2. https://doi.org/10.1038/s41368-022-00209-w

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Received: 18 July 2022
Revised: 23 October 2022
Accepted: 03 November 2022
Published: 04 January 2023
© The Author(s) 2023

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.