%0 Generic
%A Lopez-Pedrera, C.
%A Aguirre-Zamorano, M. A.
%A Munoz-Barrera, L.
%A Sanchez-Pareja, I.
%A Pilar, F. U.
%A Abalos-Aguilera, M. C.
%A Puerto, N. Barbarroja
%A Estevez, E. Collantes
%A Castro, R. Ortega
%A Perez-Sanchez, C.
%T UNSUPERVISED CLUSTERING ANALYSIS OF THE SERUM PROTEOME IDENTIFIES SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS WITH DISTINCTIVE DISEASE SEVERITY AND LUPUS NEPHROPATHY
%D 2022
%@ 0003-4967
%U http://hdl.handle.net/10668/20118
%X Background: Systemic lupus erythematosus (SLE) is a remarkably heterogeneous autoimmune disease. Despite great efforts, our knowledge of serum proteinpatterns in severe SLE phenotypes is still limited.Objectives: This study investigated the serum proteomic profile of SLE, in orderto identify relevant clinical patterns.Methods: Proximity extension immunoassay (PEA, Olink) was used toassess the serum levels of one hundred and eighty-four inflammation andorgan damage-related proteins in patients with SLE (n = 72) and agematched healthy donors (HD) (n = 18). In parallel, an extensive clinical andanalytical profile of recruited subjects was performed. To evaluate the contribution of molecular profiles to the disease severity, unsupervised clustering analyses were developed.
%K Pisum sativum
%K Proteomics
%K Lupus Erythematosus, Systemic
%~