Proteomic analysis identifies subgroups of patients with active systemic lupus erythematosus.

Kevin Y C SuJohn A ReynoldsRachel ReedRachael Da SilvaJanet KelsallIvona Baricevic-JonesDavid LeeAnthony D WhettonNophar GeifmanNeil McHughIan N Brucenull null

Published in: Clinical proteomics (2023)

Unsupervised proteomic analysis identifies clusters of patients with active SLE, that are associated with clinical and serological features, which may facilitate biomarker discovery. The observed proteomic heterogeneity further supports the need for a personalised approach to treatment in SLE.

Keyphrases

systemic lupus erythematosus
disease activity
genome wide
small molecule
machine learning
single cell
gene expression
smoking cessation
replacement therapy