Functional Genomics Using High‐Throughput Methods for Salivary Analysis in Sjögren's Disease DOI Open Access
Giovanna Piacenza Florezi, Mônica Teresa Veneziano Labate, Carlos Alberto Labate

et al.

Oral Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

ABSTRACT Objectives Primary Sjögren's disease (SjD) is a slow‐progressing autoimmune that affects salivary and lacrimal glands, causing dry eyes (xerophthalmia) mouth (xerostomia). Diagnosing SjD involves clinical, serological, histological assessments, but reliable biomarkers are lacking. Methods This study analyzed the metabolic proteomic profiles of 19 female patients (based on ACR‐EULAR criteria) compared to 20 healthy individuals. Saliva blood samples were using mass spectrometry chromatography. Proteomic analysis was performed with nanoElute nanoflow system coupled timsTof‐Pro spectrometer, profiling GC‐TOF/MS Pegasus HT. Results Statistical tests identified significant differences in metabolites proteins between controls. Metabolome revealed changes amino acid synthesis, purine lipid metabolism, exposure external compounds. indicated immune‐related inflammatory metabolism. GNAI2, B2MG, NGAL, SLUR2, HS90, SODC, A2GL emerged as potential for SjD. Conclusion demonstrates high‐performance techniques identifying diagnosis prognosis. Data available via ProteomeXchange (PXD055629).

Language: Английский

Perspectives in clinical research on Azathioprine for steroid-dependent ulcerative colitis DOI Creative Commons
Yingli Qu, Jianqing Ding,

Pan W

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: March 25, 2025

This study explores the application of Azathioprine in treatment ulcerative colitis (UC) and challenges associated with its long-term use. While short-term studies demonstrate efficacy steroid-dependent UC, data on risks, including malignancies, infections, chronic toxicity, remain insufficient. Furthermore, impact patients’ quality life over extended periods is still unclear. The research highlights importance optimizing dosing based genomic data, particularly through TPMT NUDT15 genotyping, to minimize adverse effects. However, further needed develop individualized strategies that can improve reduce toxicity. identification predictive biomarkers, genomics proteomics, likely play a crucial role improving precision by identifying patients who are most benefit from therapy. Additionally, combining biologic therapies (such as anti-TNF agents or integrin inhibitors) interventions targeting gut microbiome may enhance drug’s effectiveness while reducing reliance steroids. Overall, large-scale clinical trials urgently evaluate benefits risks these emerging therapies, ultimately supporting more personalized approaches for UC patients.

Language: Английский

Citations

0

Functional Genomics Using High‐Throughput Methods for Salivary Analysis in Sjögren's Disease DOI Open Access
Giovanna Piacenza Florezi, Mônica Teresa Veneziano Labate, Carlos Alberto Labate

et al.

Oral Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

ABSTRACT Objectives Primary Sjögren's disease (SjD) is a slow‐progressing autoimmune that affects salivary and lacrimal glands, causing dry eyes (xerophthalmia) mouth (xerostomia). Diagnosing SjD involves clinical, serological, histological assessments, but reliable biomarkers are lacking. Methods This study analyzed the metabolic proteomic profiles of 19 female patients (based on ACR‐EULAR criteria) compared to 20 healthy individuals. Saliva blood samples were using mass spectrometry chromatography. Proteomic analysis was performed with nanoElute nanoflow system coupled timsTof‐Pro spectrometer, profiling GC‐TOF/MS Pegasus HT. Results Statistical tests identified significant differences in metabolites proteins between controls. Metabolome revealed changes amino acid synthesis, purine lipid metabolism, exposure external compounds. indicated immune‐related inflammatory metabolism. GNAI2, B2MG, NGAL, SLUR2, HS90, SODC, A2GL emerged as potential for SjD. Conclusion demonstrates high‐performance techniques identifying diagnosis prognosis. Data available via ProteomeXchange (PXD055629).

Language: Английский

Citations

0