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Dataset Information

Unique Sjogren's syndrome patient subsets defined by molecular features.


ABSTRACT:

Objective

To address heterogeneity complicating primary SS (pSS) clinical trials, research and care by characterizing and clustering patients by their molecular phenotypes.

Methods

pSS patients met American-European Consensus Group classification criteria and had at least one systemic manifestation and stimulated salivary flow of ⩾0.1 ml/min. Correlated transcriptional modules were derived from gene expression microarray data from blood (n = 47 with appropriate samples). Patients were clustered based on this molecular information using an unbiased random forest modelling approach. In addition, multiplex, bead-based assays and ELISAs were used to assess 30 serum cytokines, chemokines and soluble receptors. Eleven autoantibodies, including anti-Ro/SSA and anti-La/SSB, were mea

SUBMITTER: James JA 

PROVIDER: S-EPMC7188221 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature