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Title

 

 

 

 

Proteomics and its applications for biomarker discovery in human saliva 

Authors

Hua Xiao1 & David T Wong1, 2, 3, 4, 5*

Affiliation

1Dental Research Institute; 2School of Dentistry; 3Jonsson Comprehensive Cancer Center; 4Division of Head and Neck Surgery/Otolaryngology; 5Henry Samueli School of Engineering, University of California, Los Angeles, California 90095 

Email

dtww@ucla.edu

Article Type

Views & Challenges

 

Date

Received July 02, 2010; Accepted July 14, 2010; Published January 06, 2011
 

Abstract

Human saliva is a biological fluid with enormous diagnostic potential. Because saliva can be non-invasively collected, it provides an attractive alternative for blood, serum or plasma. It has been postulated that the blood concentrations of many components are reflected in saliva. Saliva harbors a wide array of proteins, which can be informative for the detection of diseases. Profiling the proteins in saliva over the course of disease progression could reveal potential biomarkers indicative of different stages of diseases, which may be useful in medical diagnostics. With advanced instrumentation and developed refined analytical techniques, proteomics is widely envisioned as a useful and powerful approach for salivary proteomic biomarker discovery. As proteomic technologies continue to mature, salivary proteomics have great potential for biomarker research and clinical applications. The progress and current status of salivary proteomics and its application in the biomarker discovery of oral and systematic diseases will be reviewed. The scientific and clinical challenges underlying this approach will also be discussed. 

Keywords

 

Saliva, Biomarkers, Proteomics 

Citation

Xiao et al. Bioinformation 5(7): 294-296(2011)

Edited by

Francesco chiappelli

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.