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Whole blood transcriptomics analysis in Antiphospholipid syndrome in patients with Systemic Lupus Erythematosus

We analyzed whole-blood RNA-sequencing data from 299 SLE patients (108 SLE-aPL-positive, including 67 SLE-APS; 191 SLE-aPL-negative) and 72 matched healthy controls (HC). Pathway enrichment analysis, unsupervised WGCNA analysis and machine learning were applied to distinguish disease endotypes. Deconvolution analysis was performed to characterize the peripheral blood immune cell profile.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Publication

Publications	Citations
Disentangling the riddle of systemic lupus erythematosus with antiphospholipid syndrome: blood transcriptome analysis reveals a less-pronounced IFN-signature and distinct molecular profiles in venous versus arterial events. Nikolopoulos D, Loukogiannaki C, Sentis G, Garantziotis P, Manolakou T, Kapsala N, Nikoloudaki M, Pieta A, Flouda S, Parodis I, Bertsias G, Fanouriakis A, Filia A, Boumpas DT. Ann Rheum Dis 83: 2024 1132-1143	2

Publications

Citations

Disentangling the riddle of systemic lupus erythematosus with antiphospholipid syndrome: blood transcriptome analysis reveals a less-pronounced IFN-signature and distinct molecular profiles in venous versus arterial events.
Nikolopoulos D, Loukogiannaki C, Sentis G, Garantziotis P, Manolakou T, Kapsala N, Nikoloudaki M, Pieta A, Flouda S, Parodis I, Bertsias G, Fanouriakis A, Filia A, Boumpas DT. Ann Rheum Dis 83: 2024 1132-1143