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Molecular endotypes of type 1 and type 2 SLE

OBJECTIVE: To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS: Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations...

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Detalles Bibliográficos
Autores principales: Robl, Robert, Eudy, Amanda, Bachali, Prathyusha S, Rogers, Jennifer L, Clowse, Megan, Pisetsky, David, Lipsky, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950972/
https://www.ncbi.nlm.nih.gov/pubmed/36720488
http://dx.doi.org/10.1136/lupus-2022-000861
Descripción
Sumario:OBJECTIVE: To character the molecular landscape of patients with type 1 and type 2 SLE by analysing gene expression profiles from peripheral blood. METHODS: Full transcriptomic RNA sequencing was carried out on whole blood samples from 18 subjects with SLE selected by the presence of manifestations typical of type 1 and type 2 SLE. The top 5000 row variance genes were analysed by Multiscale Embedded Gene Co-expression Network Analysis to generate gene co-expression modules that were functionally annotated and correlated with various demographic traits, clinical features and laboratory measures. RESULTS: Expression of specific gene co-expression modules correlated with individual features of type 1 and type 2 SLE and also effectively segregated samples from patients with type 1 SLE from those with type 2 SLE. Unique type 1 SLE enrichment included interferon, monocytes, T cells, cell cycle and neurotransmitter pathways, whereas unique type 2 SLE enrichment included B cells and metabolic and neuromuscular pathways. Gene co-expression modules of patients with type 2 SLE were identified in subsets of previously reported patients with inactive SLE and idiopathic fibromyalgia (FM) and also identified subsets of patients with active SLE with a greater frequency of severe fatigue. CONCLUSION: Gene co-expression analysis successfully identified unique transcriptional patterns that segregate type 1 SLE from type 2 SLE and further identified type 2 molecular features in patients with inactive SLE or FM and with active SLE with severe fatigue.