Circulating miRNome profiling data in Behçet's syndrome.

Area of Science:

• Biochemistry
• Genomics
• Immunology

Background:

• Behçet's syndrome (BS) is a rare, chronic inflammatory disorder with complex etiology.
• Extracellular circulating microRNAs (ci-miRNAs) are emerging as potential biomarkers for various diseases.
• A characteristic ci-miRNA profile in BS has not been well-established.

Purpose of the Study:

• To investigate the presence of a distinct ci-miRNA profile in patients with Behçet's syndrome.
• To identify specific ci-miRNAs that are differentially expressed in BS compared to healthy individuals.
• To establish potential molecular markers for BS diagnosis.

Main Methods:

• Screening analysis of ci-miRNAs in plasma samples.
• RNA extraction from platelet-free plasma (PFP) of 16 BS patients and 18 healthy controls.
• Agilent microarray hybridization for ci-miRNA profiling and data analysis.

Main Results:

• Identification of 36 differentially expressed ci-miRNAs between BS patients and healthy controls.
• Demonstration of a deregulated ci-miRNA profile in Behçet's syndrome.
• Microarray data deposited in Gene Expression Omnibus (GEO) under accession number GSE145191.

Conclusions:

• A unique ci-miRNA signature is associated with Behçet's syndrome.
• These ci-miRNAs represent potential novel biomarkers for BS diagnosis and monitoring.
• Further research is warranted to validate these findings and explore their clinical utility.