The baseline interferon signature predicts disease severity over the subsequent 5 years in systemic lupus erythematosus.
Disease course
Interferon
SLEDAI-2K
Systemic lupus erythematosus
Journal
Arthritis research & therapy
ISSN: 1478-6362
Titre abrégé: Arthritis Res Ther
Pays: England
ID NLM: 101154438
Informations de publication
Date de publication:
16 01 2021
16 01 2021
Historique:
received:
22
05
2020
accepted:
01
01
2021
entrez:
16
1
2021
pubmed:
17
1
2021
medline:
22
6
2021
Statut:
epublish
Résumé
Type I interferons (IFNs) play an important role in the pathophysiology of systemic lupus erythematosus (SLE). While cross-sectional data suggest an association between IFN-induced gene expression and SLE disease activity, interest in this as a biomarker of flare has been tempered by a lack of fluctuation with disease activity in the majority of patients. This led us to question whether IFN-induced gene expression might instead be a biomarker of overall disease severity, with patients with high levels spending more time in an active disease state. Levels of five interferon-responsive genes were measured in the whole peripheral blood at baseline visit for 137 SLE patients subsequently followed for 5 years. Log transformed values were summed to yield a composite IFN5 score, and the correlation with various disease outcomes examined. Receiver operator characteristic analyses were performed for outcomes of interest. Kaplan-Meier curves were generated to compare the proportion of flare-free patients with high and low IFN5 scores over time. The baseline IFN5 score was positively correlated with the adjusted mean SLE disease activity index-2000, number of flares, adjusted mean prednisone dose, and number of new immunosuppressive medications over the subsequent 5 years. Optimal cut-offs for the IFN5 score were determined using Youden's index and predicted more severe outcomes with 57-67% accuracy. A high baseline IFN5 level was associated with a significantly increased risk of subsequent flare. Measurement of the type I IFN signature is a useful tool for predicting the subsequent disease activity course.
Identifiants
pubmed: 33451338
doi: 10.1186/s13075-021-02414-0
pii: 10.1186/s13075-021-02414-0
pmc: PMC7811214
doi:
Substances chimiques
Immunosuppressive Agents
0
Interferon Type I
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
29Subventions
Organisme : CIHR
ID : QNT 78341
Pays : Canada
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