Predicting glucocorticoid resistance in multiple sclerosis relapse via a whole blood transcriptomic analysis.

ABSTRACT:

Aims

Treatment of multiple sclerosis (MS) relapses consists of short-term administration of high-dose glucocorticoids (GCs). However, over 40% of patients show an insufficient response to GC treatment. We aimed to develop a predictive model for such GC resistance.

Methods

We performed a receiver operating characteristic (ROC) curve analysis following the transcriptomic assay of whole blood samples from stable, relapsing GC-sensitive and relapsing GC-resistant patients with MS in two different European centers.

Results

We identified 12 genes being regulated during a relapse and differentially expressed between GC-sensitive and GC-resistant patients with MS. Using these genes, we defined a statistical model to predict GC resistance with an area under the curve (AUC) of

SUBMITTER: Bagnoud M 

PROVIDER: S-EPMC10848073 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature