Discovery of Putative Salivary Biomarkers for Sjögren’s Syndrome Using High Resolution Mass Spectrometry and Bioinformatics
| Autor: | Ashley Brown, Mabi Singh, Wasyl Malyj, Earl White, Ian Rawe, William Haddon, Athena Papas, Kathleen M. Hanley, Daniel Tuse, Driss Zoukhri, Claire L. Kublin, Kevin Dawson |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Male
Saliva Dental Informatics Molecular Sequence Data Submandibular Gland Mass spectrometry Diagnostic tools Bioinformatics Sensitivity and Specificity Article Humans Amino Acid Sequence Protein Precursors Salivary biomarkers General Dentistry Peptide sequence Aged Chemistry Reproducibility of Results Middle Aged Salivary Proline-Rich Proteins stomatognathic diseases Matrix-assisted laser desorption/ionization Sjogren's Syndrome Case-Control Studies Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Biomarker (medicine) Female Sjogren s Algorithms Biomarkers |
| Zdroj: | J Oral Sci |
| Popis: | The purpose of the current study was to determine if saliva contains biomarkers that can be used as diagnostic tools for Sjogren's syndrome (SjS). Twenty seven SjS patients and 27 age-matched healthy controls were recruited for these studies. Unstimulated glandular saliva was collected from the Wharton's duct using a suction device. Two µl of salvia were processed for mass spectrometry analyses on a prOTOF 2000 matrix-assisted laser desorption/ionization orthogonal time of flight (MALDI O-TOF) mass spectrometer. Raw data were analyzed using bioinformatic tools to identify biomarkers. MALDI O-TOF MS analyses of saliva samples were highly reproducible and the mass spectra generated were very rich in peptides and peptide fragments in the 750-7,500 Da range. Data analysis using bioinformatic tools resulted in several classification models being built and several biomarkers identified. One model based on 7 putative biomarkers yielded a sensitivity of 97.5%, specificity of 97.8% and an accuracy of 97.6%. One biomarker was present only in SjS samples and was identified as a proteolytic peptide originating from human basic salivary proline-rich protein 3 precursor. We conclude that salivary biomarkers detected by high-resolution mass spectrometry coupled with powerful bioinformatic tools offer the potential to serve as diagnostic/prognostic tools for SjS. |
| Databáze: | OpenAIRE |
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