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Personalized Immunomonitoring Uncovers Molecular Networks that Stratify Lupus Patients
Author(s) -
Romain Banchereau,
Seunghee Hong,
Brandi L. Cantarel,
Nicole Baldwin,
Jeanine Baisch,
Michelle Edens,
AlmaMartina Cepika,
Peter Acs,
Jacob Turner,
Esperanza Anguiano,
Parvathi Vinod,
Shaheen Khan,
Gerlinde Obermoser,
Derek Blankenship,
Edward K. Wakeland,
Lorien Nassi,
Alisa Gotte,
Marilynn Punaro,
Yong-Jun Liu,
Jacques Banchereau,
José Rosselló-Urgell,
Tracey Wright,
Virginia Pascual
Publication year - 2016
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2016.03.008
Subject(s) - lupus nephritis , biology , transcriptome , biomarker , disease , immunology , clinical trial , personalized medicine , nephritis , bioinformatics , medicine , gene , genetics , gene expression
Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by loss of tolerance to nucleic acids and highly diverse clinical manifestations. To assess its molecular heterogeneity, we longitudinally profiled the blood transcriptome of 158 pediatric patients. Using mixed models accounting for repeated measurements, demographics, treatment, disease activity (DA), and nephritis class, we confirmed a prevalent IFN signature and identified a plasmablast signature as the most robust biomarker of DA. We detected gradual enrichment of neutrophil transcripts during progression to active nephritis and distinct signatures in response to treatment in different nephritis subclasses. Importantly, personalized immunomonitoring uncovered individual correlates of disease activity that enabled patient stratification into seven groups, supported by patient genotypes. Our study uncovers the molecular heterogeneity of SLE and provides an explanation for the failure of clinical trials. This approach may improve trial design and implementation of tailored therapies in genetically and clinically complex autoimmune diseases. PAPERCLIP.

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