The SjD Map: an interactive pathway tour into Sjögren’s disease signalling mechanisms
Year: 2026
Type: article
Abstract: Objectives Sjögren’s disease (SjD) remains a major unmet medical challenge, marked by biological complexity, patient heterogeneity, and a lack of curative treatments. To advance the understanding of its pathogenesis and support therapeutic discovery, we developed a comprehensive knowledgebase in the form of a Molecular Interaction Map (MIM). Methods Differential expression analysis was performed on peripheral blood samples from SjD patients and healthy controls across three datasets: GSE51092 (190 SjD vs 32 controls), UKPSSR (151 SjD vs 29 controls) and PRECISESADS (304 SjD vs 341 controls). Pathway enrichment analyses provided guidance for MIM construction, which was further refined through literature mining to integrate data-driven results with curated knowledge. Results A total of 1,625 differentially expressed genes (DEGs) were identified: 725 from PRECISESADS, 1,162 from GSE51092, and 239 from UKPSSR, with 25 DEGs shared across all three datasets. Among these, nine common DEGs were associated with interferon signalling, reinforcing experimental evidence pointing to its pivotal role in SjD. Enrichment analyses revealed 146 pathways, 43 of which were successfully incorporated into the MIM. The resulting SjD Map freely accessible at https://sjdmap.elixir-luxembourg.org/ , comprises 829 molecular entities connected by 598 interactions, with 45% of the information depicted supported by transcriptomic data and 47% derived from literature. The map also includes overlays of experimental data and clinical trial information. Conclusion This first comprehensive Sjögren’s Disease Map, developed through a hybrid data-driven and literature-based approach, offers an integrative view of SjD pathogenesis. It supports visualisation of mechanistic pathways, omics-based data overlays, enables incorporation of user data and drug queries. Abstract Figure Graphical abstract Key messages This is the first molecular interaction map specific of Sjögren’s Disease It enables comprehensive visualisation of affected pathways through integrated transcriptomic and literature-based evidence, following system’s biology graphical notation schemes The map may support therapeutic discovery by linking molecular mechanisms to clinical data and drug targets
Institutions: Inserm, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Fontenay-aux-roses, Infectious Disease Models and Innovative Therapies, Laboratoire de recherche européen pour la polyarthrite rhumatoïde, Hôpitaux Universitaires de Strasbourg, Queen Mary University of London, National Institute for Health and Care Research, William Harvey Research Institute, Universidad de Granada, Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research, Newcastle University, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Centre Inria de Saclay, Université de Toulouse, LIFEWARE: Computational systems biology and optimization, Unité de biologie Moléculaire, Cellulaire et du Développement, Centre de Biologie Intégrative de Toulouse
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,490
Funder: Université Paris-Saclay
OpenAlex ID: W7142441795
