Now, monitor your health at your personal computer with new saliva diagnostic tool

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Washington, April 6 : Scientists at the University of California, Los Angeles have made diagnostic tools more accurate, convenient and non-invasive, by developing Salivaomics Knowledge Base (SKB), a saliva diagnostic atlas that can work on computer or via computer simulation.

Launched during the 37th Annual Meeting of the American Association for Dental Research in Dallas, Texas, the SKB promises to serve as a catalyst for future development and expansion of salivary diagnostics.

For over three years, saliva has shown genuine promise as a diagnostic tool for oral cancer detection. As a result, the scientific community and general public have developed a keen interest in its value.

Central to the SKB is the recent creation of two diagnostic alphabets in saliva, the proteome and the transcriptome. In the SKB, the salivary proteome and transcriptome are mapped to 23 human chromosomes, totaling1166 distinct proteins and 851 unique mRNA transcripts in saliva.

The available information presently includes profiles from healthy males and females, as well as oral cancer patients. These profiles can be used to determine distinct differences between groups of interest. For example, if one wants to know the differences in the salivary protein or transcriptome profiles of males and females, the user-friendly interface can be utilized to retrieve information from the database.

First, an overview of the biomarker distribution on the 23 human chromosomes can be determined. Then, one can zoom in on specific gene segments to extract more detailed information, all done on one's personal computer.

This is the first step of this SKB initiative. The database is expanding and will soon include information for pancreatic cancer, breast cancer, lung cancer, ovarian cancer, diabetes,and Alzheimer's disease, according to the scientists.

The team added that the short-term goal of the SKB is to share information with scientists globally in an effort to reduce redundancy and enhance the appeal of salivary diagnostics.

ANI

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