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Functional Genomics Using High-Throughput Methods for Salivary Analysis in Sjögren's Disease.
Giovanna P Florezi1, Mônica Teresa Veneziano Labate2, Carlos Alberto Labate2
1Stomatology Department, Faculdade de Odontologia, Universidade de São Paulo, São Paulo, Brazil.
Oral Diseases
|March 27, 2025
Summary
Researchers identified potential biomarkers for Sjögren
Area of Science:
- Biochemistry
- Immunology
- Proteomics
- Metabolomics
Background:
- Primary Sjögren's disease (SjD) is a chronic autoimmune disorder affecting exocrine glands, leading to dry eyes and mouth.
- Current SjD diagnosis relies on clinical, serological, and histological data, with a need for reliable diagnostic biomarkers.
- Lack of specific biomarkers complicates early and accurate diagnosis of Sjögren's disease.
Purpose of the Study:
- To identify novel metabolic and proteomic biomarkers for the diagnosis of primary Sjögren's disease.
- To compare the salivary and blood profiles of SjD patients with those of healthy controls.
Main Methods:
- Analysis of metabolic and proteomic profiles in saliva and blood samples from 19 female SjD patients and 20 healthy controls.
- Utilized mass spectrometry (timsTof-Pro) for proteomic analysis and GC-TOF/MS (Pegasus HT) for metabolic profiling.
- Employed advanced chromatography techniques for sample analysis.
Main Results:
- Significant differences in metabolite and protein profiles were observed between SjD patients and controls.
- Metabolome analysis indicated alterations in amino acid, purine, and lipid metabolism, alongside external compound exposure.
- Proteomic analysis revealed changes in immune-related proteins and inflammatory lipid metabolism, identifying GNAI2, B2MG, NGAL, SLUR2, HS90, SODC, and A2GL as potential SjD biomarkers.
Conclusions:
- High-performance analytical techniques can effectively identify potential biomarkers for Sjögren's disease.
- The identified proteins and metabolites show promise for improving SjD diagnosis and prognosis.
- Study data are publicly available through ProteomeXchange (PXD055629) for further research.

