Salivary proteomic and genomic biomarkers for primary Sjögren's syndrome
Top Cited Papers
Open Access
- 29 October 2007
- journal article
- research article
- Published by Wiley in Arthritis & Rheumatism
- Vol. 56 (11) , 3588-3600
- https://doi.org/10.1002/art.22954
Abstract
Objective To identify a panel of protein and messenger RNA (mRNA) biomarkers in human whole saliva (WS) that may be used in the detection of primary Sjögren's syndrome (SS). Methods Mass spectrometry and expression microarray profiling were used to identify candidate protein and mRNA biomarkers of primary SS in WS samples. Validation of the discovered mRNA and protein biomarkers was also demonstrated using real-time quantitative polymerase chain reaction and immunoblotting techniques. Results Sixteen WS proteins were found to be down-regulated and 25 WS proteins were found to be up-regulated in primary SS patients compared with matched healthy control subjects. These proteins reflected the damage of glandular cells and inflammation of the oral cavity system in patients with primary SS. In addition, 16 WS peptides (10 up-regulated and 6 down-regulated in primary SS) were found at significantly different levels (P < 0.05) in primary SS patients and controls. Using stringent criteria (3-fold change; P < 0.0005), 27 mRNA in saliva samples were found to be significantly up-regulated in the primary SS patients. Strikingly, 19 of 27 genes that were found to be overexpressed were interferon-inducible or were related to lymphocyte filtration and antigen presentation known to be involved in the pathogenesis of primary SS. Conclusion Our preliminary study has indicated that WS from patients with primary SS contains molecular signatures that reflect damaged glandular cells and an activated immune response in this autoimmune disease. These candidate proteomic and genomic biomarkers may improve the clinical detection of primary SS once they have been further validated. We also found that WS contains more informative proteins, peptides, and mRNA, as compared with gland-specific saliva, that can be used in generating candidate biomarkers for the detection of primary SS.Keywords
This publication has 82 references indexed in Scilit:
- The neural decoding toolboxFrontiers in Neuroscience, 2013
- Incorporation of new information into prefrontal cortical activity after learning working memory tasksProceedings of the National Academy of Sciences, 2012
- Machine learning classifiers and fMRI: A tutorial overviewNeuroImage, 2009
- PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI DataNeuroinformatics, 2009
- Revealing representational content with pattern-information fMRI—an introductory guideSocial Cognitive and Affective Neuroscience, 2009
- Dynamic Population Coding of Category Information in Inferior Temporal and Prefrontal CortexJournal of Neurophysiology, 2008
- Data Sharing for Computational NeuroscienceNeuroinformatics, 2008
- Progression of salivary gland dysfunction in patients with Sjögren's syndromeAnnals of the Rheumatic Diseases, 2007
- Decoding mental states from brain activity in humansNature Reviews Neuroscience, 2006
- Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodMethods, 2001