Spatial multi-omics profiling uncovers metabolic heterogeneity in Sjogren's syndrome and identifies PS(36:1) as a potential therapeutic target.

ABSTRACT:

Background

Sjögren syndrome (SS) is a common autoimmune disease characterized by lymphocytic infiltration. Describing the transcriptional and metabolic features of the disease from a spatial perspective can enhance our understanding of the disease pathogenesis and treatment; METHODS: We collected eight human labial samples, including four labial gland samples from patients with SS and from four healthy controls. We integrated single-cell RNA sequencing, spatial transcriptomics, and spatial metabolomics techniques to generate SS-associated spatial gene expression maps and spatial metabolite profiles at a single-cell resolution. We also analyzed the characteristic metabolic and genetic changes of SS samples and infiltrated CD4⁺ T cells. Immunohistochemistry was used to det

SUBMITTER: Shao Y 

PROVIDER: S-EPMC12729014 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature