The Hidden Footprints of Platelets in IgG4-Related Disease Pathogenesis

Abstract

Platelets have grabbed great attention as immune cells and principal modulators of tissue remodeling besides their well-known hemostatic and vascular wall safeguarding functions. In line with this knowledge, findings indicating an excessive platelet activation have been reported in systemic sclerosis, which is an autoimmune, multisystem, fibrotic disorder. By borrowing the transcriptomic data of Nakajima et al. (GEO data repository, GSE66465) we sought a platelet contribution in immunoglobulin G4-related disease (IgG4-RD) pathogenesis, another immune-mediated, fibroinflammatory, multiorgan disease. GEO2R for class comparisons and WebGestalt for functional enrichment analyses were used. When treatment naive IgG4-RD patients were compared with healthy controls, 268 differentially expressed genes (204 with increased and 64 with decreased expression) were detected. Enrichment analyses performed using gene ontology (Biological Process), pathway (Panther), and disease (GLAD4U) functional databases documented many significantly enriched terms relating to platelets, coagulation, and thrombosis, including Thrombasthenia, Low on-treatment platelet reactivity, High on-treatment platelet reactivity, Platelet reactivity, Platelet aggregation inhibition, Blood platelet disorders, Platelet degranulation, Platelet aggregation, and Platelet activation. The enrichment ratios of these terms were found to be between 6.4 and 83.2. Together with the limited data in the relevant literature, it seems imperative to plan meticulously designed research, specifically focusing on platelets contribution to IgG4-RD pathogenesis.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This study did not receive any funding.

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The microarray expression data of the study by Nakajima et al. (Gene Expression Omnibus data repository [GEO], accession number GSE66465, accession date 9.9.2022) was used for this study.

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Data Availability

All data produced in the present work are contained in the manuscript

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