The Platelet-Specific Gene Signature in the Immunoglobulin G4-Related Disease Transcriptome

• Published in: Medicina (Kaunas, Lithuania) Lithuania), 2025-01, Vol.61 (1), p.162
• Main Authors: Oguz, Ali Kemal, Oygur, Cagdas Sahap, Gur Dedeoglu, Bala, Dogan Turacli, Irem, Serin Kilicoglu, Sibel, Ergun, Ihsan
• Format: Article
• Language: English
• Subjects: blood platelets; Blood Platelets - metabolism; Cluster analysis; Clustering; Exocrine glands; Female; fibrosis; Gene expression; gene expression profiling; Gene Expression Profiling - methods; Humans; immunoglobulin G4-related disease; Immunoglobulin G4-Related Disease - blood; Immunoglobulin G4-Related Disease - genetics; Immunoglobulins; Leukocytes; Male; Males; Middle Aged; Pathogenesis; Patients; platelet activation; Scleroderma; Software; Transcriptome
• ISSN: 1648-9144; 1010-660X; 1648-9144
• DOI: 10.3390/medicina61010162

Immunoglobulin G4-related disease (IgG4-RD) is an immune-mediated, fibroinflammatory, multiorgan disease with an obscure pathogenesis. Findings indicating excessive platelet activation have been reported in systemic sclerosis, which is another autoimmune, multisystemic fibrotic disorder. The immune-mediated, inflammatory, and fibrosing intersections of IgG4-RD and systemic sclerosis raised a question about platelets' role in IgG4-RD. : By borrowing transcriptomic data from Nakajima et al. (GEO repository, GSE66465) we sought a platelet contribution to the pathogenesis of IgG4-RD. GEO2R and BRB-ArrayTools were used for class comparisons, and WebGestalt for functional enrichment analysis. During the selection of differentially expressed genes (DEGs), the translationally active but significantly low amount of platelet mRNA was specifically considered. The platelet-specific gene signature derived was used for cluster analysis of patient and control groups. : When IgG4-RD patients were compared with controls, 268 DEGs (204 with increased and 64 with decreased expression) were detected. Among these, a molecular signature of 22 platelet-specific genes harbored genes important for leukocyte-platelet aggregate formation (i.e., , , , , , and ) and extracellular matrix synthesis (i.e., , , , , and ). Functional enrichment analysis documented significantly enriched terms related to platelets, including but not limited to "platelet reactivity", "platelet degranulation", "platelet aggregation", and "platelet activation". During clustering, the 22 gene signatures successfully discriminated IgG4-RD and the control and the IgG4-RD before and after treatment groups. : Patients with IgG4-RD apparently display an activated platelet phenotype with a potential contribution to disease immunopathogenesis. If the platelets' role is validated through further carefully designed research, the therapeutic potentials of selected conventional and/or novel antiplatelet agents remain to be evaluated in patients with IgG4-RD. Transcriptomics and/or proteomics research with platelets should take into account the relatively low amounts of platelet mRNA, miRNA, and protein. Secondary analysis of omics data sets has great potential to reveal new and valuable information.