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Salivary biomarkers have emerged as a cornerstone of personalized medicine, offering information for early disease detection, prognosis, treatment response prediction, and individualized therapy selection. This burgeoning field, often termed "salivaomics," encompasses a range of omics technologies, including proteomics, transcriptomics, metabolomics, and microbiomics. These approaches have revolutionized biomarker discovery, particularly in disease detection, including cancer. Saliva, being easily accessible and non-invasive, allows for the detection of biomarkers related to chronic diseases such as type 2 diabetes, obesity, heart disease, and cancer, which are often preceded by chronic low-grade inflammation (1). The use of salivary biomarkers not only offers a cost-effective and convenient approach for monitoring health status but also guides personalized treatment strategies in dentistry and medicine, thereby transforming healthcare practices towards a more individualized and precise approach.
Keerthi Priyadarshini T (Fri,) studied this question.